edegan.com - User contributions [en]

University Patents

2017-04-21T19:08:42Z

Meghanapannala: /* Ranking Development Notes */

{{McNair Projects
|Has title=University Patents
|Has owner=Julia Wang, Meghana Pannala,
|Has keywords=Patent
|Has project status=Active
}}
==Project Overview==
Goal: list of all universities and # of patents associated with each university and patent licensing activity

patent reassignment to startups associated with these universities

clinical trials (from Catherine) data to rank universities R&D engagement

identify list of universities: board of regents, universities in patent data (find patterns associated with university assignees) -- @Julia: Where did we get this list? I'd love to be able filter by country - Meghana

AUTM?

==Timeline to Deliverable & Documentation==

Meghana: focus on grants

Julia: focus on patent counts

'''3/20-3/24'''

Learn SQL, clean data

'''3/27-3/31'''

Counts of data, name matching

Patent Counts
*Ran the matcher in the server, only matched ~40,000 entries
*Working with Jeemin to develop matcher

'''4/3-4/7'''

Counts of data, name matching

Patent Counts
*Jeemin is a savior, matched and counted 128,000 entries (Jeemin_matcher_matched.txt), manually went through the 6,000 unmatched (Jeemin_matcher_unmatched.txt)
*Ranking for all time is in Patent Counting ( >Total (All Time) )
*Need to talk with Meghana about grant data
*Need to find variables for regression, develop ranking for last decade and last year
*Also need to account for school size (faculty? students? research funding?)

'''4/10-4/14'''

Develop ranking

Patent Counts
*Finish all of above
*Start drafting
*Load data onto database

'''4/17-4/21'''

Editing and polishing report

==Ranking Development Notes==
Sources of University Funding R&D [https://www.aaas.org/page/rd-colleges-and-universities]
*Roughly 60% comes from the Federal Government
*Less than 10% comes from state and local governments
*Roughly 20% is from the University itself (endowment?? tuition? not 100% sure)
*Roughly 5% is from private industry
*Less than 10% Other

Federal Government Funding Breakdown [https://www.aaas.org/page/rd-colleges-and-universities]
*Roughly 60% of federal funding is from the NIH
*Roughly 15% is from the NSF
*Roughly 11% from Department of Defense
*Roughly 4% from NASA
*Roughly 4% from the Department of Energy
*Roughly 3% from the USDA
*Roughly 1% from the EPA (probably will go to zero with new admin)
*Roughly 1% from the Department of Education
*Marginal amounts from everywhere else (<1%)

NOTES
*overall ranking (total number of patents)
*weight by faculty (people)
*weight by research funding
*weight by endowment (maybe)
*public vs private
*individuals: surname and first initial
**ranking by inventors - who are the superstar inventors and where are they (define superstar inventor - idk 20 patents and rank universities by how many superstars are present
**Herfindahl-Hirschmann Index

==Key Words==

===Universities (Patent Assignees)===
BOARD OF REGENTS - pretty much exclusively describes universities

UNIVERSITY - also exclusively describes universities
*Can we do a close match with University? (its the only word on this list that's frequently misspelled)

SCHOOL - often used in combination with medicine or medical to describe medical schools
*also are used to describe actual schools (i.e. HISD) and other businesses
*sometimes present in addresses - can we cut off the adresses?
*also used in combination with Business (i.e. Harvard Business School)
*use school only in conjuction with medical, medicine, and business

COLLEGE
*need to cut off addresses for this to work
*need to ensure that we include the space after
*excl. College Boulevard, college blvd, etc.
*double check everything with College Park

INSTITUTE OF TECHNOLOGY - almost exclusively describes universities but sometimes describes external research institutes

POLYTECHNIC - exclusively university (i.e. RPI, Virginia Tech)

RESEARCH FOUNDATION: VAST majority are university
*Exclusions: it's really difficult to distinguish between university affiliated and not, besides just looking them up on the google
**Novartis
**Progeria
**Washington Research Foundation
**Blood Center of Wisconsins
**Mental Hygiene
**Celiac Sprue
**Fidia
**Samuel Waxman Cancer Center
***founded by a faculty member at Mt. Sinai Medical School,not affil w/a single university but researchers are also usually faculty at various universities
**lifenet
**HealthPartners
**Dr. Susan Love
**La Jolla Cancer Research Foundation
**Children's Hospital (? grants degrees but is a hospital system)
**Medforte
**International Mask
**Palo Alto Medical Foundation

====Exclusions====
*LLC
*LLP

===Technology Transfer Offices===

====Job Titles====
*Patent Portfolio Manager
*Intellectual Property Manager
*Licensing Associate/Licensing Liaison
*Biological Materials Specialist
*Industrial Contracts Officer
*Technology Licensing Officer
*Associate Officer
*Technology Licensing Associates
*Patent Coordinator/Patent Administrator
*IP Portfolio Specialist
*MTA Coordinator
*Sponsored Research Administrator
*Technology Transfer Specialist/Technology Transfer Associate
*Contracts Associate
*Portfolio Director
*Contracts Specialist
*Industry Contracts Analyst
*Patent Prosecution Analyst
*(Associate) Director of Intellectual Property
*(Associate) Director of Technology Transfer Policy
*(Associate) Director of Technology Transactions
*(Associate) Director of Agreement Administration
*Senior Associate - watch
*Patent Attorney/Patent Agent/Patent Counsel/Paralegal - watch

====TTO Names====
*Office of Technology Transfer/Technology Transfer Office
*Office of Technology Licensing/Technology Licensing Office
*Office of Technology Development
*Technology Ventures
*Innovation Services
*Intellectual Property & Industry Research Alliances
*InnovationAccess
*Invention Transfer Group
*Technology Development Group
*Office of Business Development
*Office of Technology Commercialization
*Office of Innovation and Commercialization
*Innovation, Technology & Alliances
*Technology & Industry Alliances
*Office for Management of Intellectual Property
*Innovation & Partnerships Office

===University-Affiliated Startups (Patent Assignees)===

==What to get from other people==

Avesh has clinical trial data on wiki and bulk drive (FDA Trials Data), need to build it into normal form, use clinical trials data to rank R&D engagement of universities, will be building up portfolios of different types of companies

Marcela is cleaning up patent data, has given patent assignee names -- got it! Could we filter by country and get strictly American names?

Catherine has zip codes of medical centers, use to look through patent data

==Questions==
*How innovative are universities compared to publicly-traded firms, etc.? (firms: 100 active patents at any given time)
*How do universities license?
*What does the average portfolio look like for universities? (compared to publicly traded, VC-backed, etc)
*What can explain the differences in rankings? (size, quality of universities, TTOs and quality/experience of workers - searched LinkedIns, geography, entrepreneurship programs, NIH/NSF grants)

==To Do==

*Create ranking
**Based on patent portfolio
**Licensing income
**Quality of TTO
**Publications (specifically based on research)?
**Amount received in grants/Amount of grants - we have numbers on amount of NIH grants and NSF grants
***NIH/NSF/STTR
**Control for school size/endowment
**Startups affiliated with university
***Value generated from these startups? (ask Avesh)
**Existence of entrepreneurship program
**Geography

*Describe average patent portfolio of university
**Number of patents
**Maybe categorize by research area?
*Describe how universities license
**USPTO earned revenue

Deliverable
*Ranking
*Explanation of what makes a good ranking/what factors a school needs to be more successful

Artifacts
*Grant Data
*Research Funding
*Star Scientists
*Regression with variables from Carnegie Classification (10-15 variables)
*Licensing (?)

===What We Have===

*Lit Review
*List of all post-secondary institutions (University Accreditation 3.2016_trim) - U.S. Department of Education
*Classification of universities (Carnegie Classification 2015) - Carnegie Classification
** includes all accredited degree-granting colleges and universities that are included in the National Center for Education Statistics Integrated Postsecondary Education Data System (IPEDS).
** Coverage: 4666 institutions of higher learning
** Variables: includes 94 variables
*** Enrollment data - subdivided into graduate and undergraduate
*** degrees conferred - divided into level and division
*** information on faculty (number, divided into levels i.e. assistant, assoc. and full time)
**** coverage for this variable is REALLY LOW
*** non-faculty research staff (includes post docs)
*** Science and Engineering Research and Development expenditures
*** Non-STEM research and Development expenditures
*Amount spent on R&D (Higher Ed R&D Rankings) - National Science Foundation
** includes just total R&D expenditures
*STTR full data 1995-2015 (STTRData) - Small Business Administration
*University Patent Numbers 1969-2012 - USPTO
*Patents that resulted from NIH grants
*Information about NSF grants

===What We Need===

*List of university-affiliated startups
**looks like AUTM STATT data has this because it was used in a study by Yael Hochberg [https://papers.ssrn.com/sol3/papers2.cfm?abstract_id=2418000]
**[https://www.forbes.com/sites/liyanchen/2015/07/29/americas-most-entrepreneurial-research-universities-2015/#3cb9829b3823| Rankings of Research Universities (2015)]
**FORBES ranked the country’s most entrepreneurial schools based on the numbers of alumni and students who have identified themselves as founders and business owners on LinkedIn (adjusted to total student body size). This year we rank both research universities and [https://www.forbes.com/sites/liyanchen/2015/07/29/americas-most-entrepreneurial-colleges-2015/#2b2909e04604| smaller colleges] separately.
*data about TTOs (# and quality of employees)
**LinkedIn crawler: working with Jeemin and Peter
*licensing data from AUTM [http://www.autm.net/statt] or already within the patent data?

==Name Matching==
*Jeemin has found all the correct and incorrect spellings of assignees with "University"
*Julia working on "Institute"
*We have a list of Universities that have patents from NIH grants, which could be a starting point for our ranking constituents

==Lit Reviews==

===Thursby, J. & Thursby, M.: Who Is Selling the Ivory Tower? Sources of Growth in University Licensing (2002)===

[http://pubsonline.informs.org/doi/pdf/10.1287/mnsc.48.1.90.14271]

@article{thursby2002who,
title={Who Is Selling the Ivory Tower? Sources of Growth in University Licensing},
author={Thursby, Jerry G. and Thursby, Marie C.},
journal={Management Science},
volume={48},
number={1},
pages={90--104},
year={2002},
publisher={INFORMS},
filename={Thursby Thursby (2002) - Who Is Selling the Ivory Tower}
}

*Reliance of industry on university inventions has increased
**AUTM surveys show 7.1% growth in yearly inventions disclosure from 1994-1998 for 64 universities that responded every year
*Primary reason for more disclosures may be increased propensity for faculty to disclose, rather than change in research focus
*Universities becoming more receptive to industry contracts
*Negative total TFP growth of licenses executed (-1.7% annual growth) - growth in disclosures and patent applications greater than the corresponding growth in licenses executed.
**Marginal university innovation offered to the market has declined in commercial appeal
**Universities are delving more deeply into the available pool of innovations to increase commercial activities
*No evidence on the importance of learning by doing on the part of TTOs except to note negative association between TTO growth and TFP growth in licensing
**Suggests at least the possibility of learning by doing effects

'''Other literature'''

*On the role of patents and publications in the transfer process: Adams 1990, Henderson et al. 1998, and Jaffe et al. 1993
*On consulting, sponsored research or institutional ties: Cohen et al. 1998; Mansfield 1995; Zucker et al. 1994, 1998
*On the nature of university licensing: Jensen and Thursby 2001, Mowery et al. 2001a,b, Mowery et al. 2001, Siegel et al. 1999, Thursby et al. 2001, Thursby and Kemp 2001

===Thursby, J., Jensen, Thursby, M.: Objectives, Characteristics and Outcomes of University Licensing: A Survey of Major U.S. Universities (2001)===

[https://pdfs.semanticscholar.org/637f/048c05ee83eb84a914f69e087f52acea1b6c.pdf]

@article{thursby2001objectives,
title={Objectives, Characteristics and Outcomes of University Licensing: A Survey of Major U.S. Universities},
author={Thursby, Jerry G., Jensen, Richard, and Thursby, Marie C.},
journal={The Journal of Technology Transfer},
volume={26},
number={1},
pages={59--72},
year={2001},
publisher={Springer},
abstract={This paper describes results of our survey of licensing at 62 research universities. We consider ownership, income splits, stage of development, marketing, license policies and characteristics, goals of licensing and the role of the inventor in licensing. Based on these results we analyze the relationship between licensing outcomes and both the objectives of the TTO and the characteristics of the technologies. Patent applications grow one-to-one with disclosures, while sponsored research grows similarly with licenses executed. Royalties are typically larger the higher the quality of the faculty and the higher the fraction of licenses that are executed at latter stages of development. Sponsored research is more likely to be included in a license if the new technology is at an early stage of development or if the TTO evaluates it as important. We find that additional disclosures generate smaller percentage increases in licenses, and those increases in licenses generate smaller percentage increases in royalties.},
filename={Thursby et al (2001) - Objectives, Characteristics and Outcomes of University Licensing}
}

*University licensing has increased dramatically post-Bayh-Dole (1980)
**According to AUTM 1996, licenses executed increased 75% from 1991-1996, (total: 13,087)
*Survey of TTOs of 62 major US universities
**Majority of universities retain titles to inventions
**All universities split income with inventors
**Royalties generate most of the revenue of licensing

*Open question: Is the increased propensity of faculty to disclose a response to financial incentives or an increase in the effectiveness of TTOs in inducing disclosure?

Survey
*62/135 universities responded
*63% public, and 62% of public universities that responded were land-grant
*37% private
*average industry sponsored research $16.9 mil, federally sponsored $149.6 mil (1996)
*average TTO: 26.3 licenses executed, 92.3 invention disclosures, 30.1 new patent apps, $4.2 mil income (1996)
*35% of respondents had reorganized TTO since 1990
*90% of universities allow faculty to establish and operate businesses based on technology owned by university but developed in faculty's research
*Inventions disclosed: 33% med schools, 29% engineering, 22% science, 6% agriculture, 10% other
*Majority of invention disclosures in nascent stage (proof of concept - 45% or prototype - 37%)
*Patents often applied for after knowing commercial viability, licensed technologies often not protected by patents
*60% of universities said small companies more likely to take early stage technologies and large companies more likely to take late stage - small firms may have advantage in "innovative" research (Holmstrom 1989)
*TTOs obtain smaller upfront fees the more uncertain the technology being licensed is
*Universities usually do not take equity in the license

Regression of licensing outcomes

[[File:LicensingOutcomeReg.png|500px]]

*Dependent variables: royalties, sponsored research, patents (new applications), licenses executed
*Independent variables: importance of outcome to TTO, types of inventions, measure of size of university's licensing operation/potential
*Logs of all variables except indicator variables
*Probit for frequency of sponsored research
*INVDIS: number of disclosures
*TTOSIZE: number of licensing individuals
*TTOEVAL_1 = 1: if TTOs that said licenses/patents are "not very important"
*TTOEVAL_2 = 1: if TTOs that said licenses/patents are "moderately important"
*PROOF: % of licensed disclosures that were "proof of concept but no prototype"
*PTYPE: "Prototype available but only lab scale"
*MEDSCHL: 1 if med school exists
*QUAL: academic quality of faculty (1993 NRC's survey results of academic quality of Ph.D. granting departments)
*LICENSES: number of licenses executed
*SPONRES: amount of sponsored research
*SPONFREQ: frequency that sponsored research is tied to license (according to TTO)
*patent apps grow 1-to-1 with disclosures
*sponsored research grows with licenses executed
*more licenses executed at universities with large TTOs and med schools
*higher royalties with higher quality of faculty and higher fraction of licenses executed at later stages of development
*additional disclosures generate smaller % increases in licenses, which generate smaller % increases in royalties (TTOs generally effective at tapping pool of available technologies in their universities)

===Thursby, J., Fuller, Thursby, M.: US Faculty Patenting: Inside and Outside the University (2009)===

[http://www.nber.org/papers/w13256.pdf]

@article{thursby2009us,
title = "US Faculty Patenting: Inside and Outside the University",
author = "Jerry G. Thursby, Anne W. Fuller, and Marie C. Thursby",
journal={Research Policy},
volume={38},
number={1},
pages={14--25},
year={2009},
publisher={Elsevier},
abstract = {This paper examines the empirical anomaly that in a sample of 5811 patents on which US faculty are listed as inventors, 26% of the patents are assigned solely to firms rather than to the faculty member's university as is dictated by US university employment policies or the Bayh Dole Act. In this paper we estimate a series of probability models of assignment as a function of patent characteristics, university policy, and inventor fields in order to examine the extent to which outside assignment is nefarious or comes from legitimate activities, such as consulting. Patents assigned to firms (whether established or start-ups with inventor as principal) are less basic than those assigned to universities suggesting these patents result from faculty consulting. A higher inventor share increases the likelihood of university assignment as compared with assignment to a firm in which the inventor is a principal but it has no effect on consulting with established firms versus assignment to the university. Faculty in the physical sciences and engineering are more likely to assign their patents to established firms than those in biological sciences.},
filename={Thursby et al (2009) - US Faculty Patenting},
}

*only 62.4% of patents by university faculty members of 87 universities were assigned solely to universities
*identifying US university patents by institutional assignment misses significant percentage of faculty innovation in US universities
*higher inventor share increases likelihood of university assignment compared with assignment to a firm where inventor is principal
*possibilities: faculty in low share universities may be more willing to seek outside remuneration via assignment to start-up where they are principal; revenue shares may not affect startup activity but simply reduce number of inventions disclosed to university

Sources
*Faculty names from NRC
*Compared with inventor names in NBER Patent Database
*Excluded faculty who do not patent

Patent/Inventor Pairs
*MIT: 315
*Wisconsin: 232
*Stanford: 223
*UC San Diego: 216
*UC Berkeley: 207

Out of 5811 patents:
*1513 assigned solely to firms
*241 assigned to both firms and universities
*327 unassigned
*faculty are principals in assignee firms for 32.3% of patents assigned solely to firms and 24% of patents assigned to both (lower bound)

=== Valdivia: University Start-ups: Critical for Improving Technology Transfer (2013) ===

[https://www.brookings.edu/wp-content/uploads/2016/06/Valdivia_Tech-Transfer_v29_No-Embargo.pdf]

*Current emphasis on licensing patents, but most university TTOs do not generate enough to cover operating expenses
*Asymmetry in distribution of resources across the university system, only a few universities benefit from high licensing revenues
**top 8 universities took 50% of licensing income, top 16 universities took nearly 75% of income
**only 37 universities have been in the top 20 during the last decade (listed in University Patents > LicensingGrossIncome2003-2012.txt)
*Universities face much more pressure to demonstrate the economic impact of their R&D contracts
**97.6% of total public contracts obtained by universities are for basic/applied research
**2% of university research delivers ready-to-use technologies
**academic research is much more dependent on government funding than industry research is
*Government pressure for universities to be more responsive to market forces, more entrepreneurial, more attuned to needs of industry
*TTOs are costly to universities
*1979: 30 universities with TTO -> 1999: 174 universities (AUTM)
*2010: 206 US universities have very high or high research activity, all with TTOs (but not all report to AUTM) (Carnegie Classification of Higher Education)
*Over last 20 years, 87% of universities did not break even
*Clash between aims of university (non-profit) and TTO (essentially a business unit)
*By nurturing start-ups, TTOs can add most economic value to an invention disclosure
*2003: universities initiated 330 startups, 2012: 647 startups
*2012: 3715 operating university startups, almost double the number in 2000 (AUTM 2013)
*Startups mitigate financial risk by reducing reliance on blockbuster patents, increase diversification of portfolio
*Policy proposal: the government should increase funding for Small Business Technology Transfer Program (directed to university start-ups)
**H.R.2981: reapportions STTR funds at 0.05% in the next 2 years and 0.1% henceforth for university enterprises at proof of concept stage
*Should increase portion that agencies set aside for STTR
**STTR should have Phase III like SBIR to fund commercialization efforts
*Need equitable distribution across university system

=== The Bayh-Dole Act and High-Technology Entrepreneurship in U.S. Universities: Chicken, Egg, or Something Else? (2004) ===

[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.484.1612&rep=rep1&type=pdf]

==== Findings ====

* University research has an unusually significant impact on industrial innovation in the biomedical sector
* " This work also suggests that academic research rarely produces “prototypes” of inventions for development
and commercialization by industry—instead, academic research informs the methods and disciplines
employed by firms in their R&D facilities."
* The U.S. higher education system is much larger and more heterogenous than other developed countries - this encourages competition
* The passage of the Bayh-Dole Act was one part of a broader shift in U.S. policy toward stronger
intellectual property rights
* "Universities increased their share of patenting from less than 0.3% in 1963 to nearly 4% by 1999, but the rate of growth in this share begins to accelerate before rather than after 1980."
* "the Act's provisions expressed Congressional support for the negotiation of exclusive licenses between universities and industrial firms for the results of federally funded research"
* licensing revenues account for only a miniscule portion of universities' overall academic budgets
* the acceleration in growth of patenting and licensing began before the passage of the Bayh-Dole Act so this acceleration cannot be wholly attributed to the Act
* "the flow of knowledge and technology between university and industrial research is a two-way flow," despite previous characterization as wholly from academia to industry
* patents seem to be "especially important channels for technology transfer" in the biomedical sector

==== Data Sources ====
* 5 different case studies
1. Cotransformation: a process to transfer genes into mammalian cells (Columbia University).

2. Gallium Nitride: a semiconductor with both military and commercial applications (University of California).

3. Xalatan: a glaucoma treatment (Columbia University).

4. Ames II Tests: a bacteria assay for testing potential carcinogenic properties of pharmaceuticals and cosmetics (University of California).

5. Soluble CD4: a prototype for a drug to fight AIDS (Columbia University).

==== Critiques ====
* focuses on case studies as source of data

===Dornbusch, Schmoch, Schulze, Bethke: Identification of University-Based Patents: A New Large-Scale Approach (2012)===

[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.722.1368&rep=rep1&type=pdf]

Specific for German case, but certain points can help us

European convergence to US model (Bayh-Dole seen as main driver behind growing patent portfolios of US universities)

*University-owned patents (assigned to universities or their TTOs) and university-invented patents (assigned to university-affiliated authors)

Matching lists: traditional matching of lists of university staff/professors with inventor data
*time-consuming, costly, possibly not updated
*typically limited to tenured professors
*does not include Ph.D. students, assistants, lecturers

Matched authors of scientific publications and inventors on patents
*beware of homonyms

Patent data from EPO Worldwide Patent Statistical Database (PATSTAT)

Publication data from Elsevier (Scopus)

Country of origin: Inventor Country/Assignee Country/Applicant Country = Germany, Location of Organization to which author is affiliated =Germany
*Restrict dataset to authors from German organizations and inventors with residence in Germany

The organization

Names: To keep precision high, leave out names with initials only

Location: Postal/zip codes (PATSTAT provides address of inventor's residence, SCOPUS provides info for organization, 96.5% of first digit of inventor and organization postal codes are the same, 85.9% first two digits)

Time window: 2-year window between application and publication date

=== Singh A. and Wong P.K: University patenting activities and their link to the quantity and quality of scientific publications (2009) ===

[https://pdfs.semanticscholar.org/bb3a/df09ca693cdcff6c1f6aaf18113cabec2655.pdf]
==== Findings ====
* patenting by 281 leading world universities has consistently grown faster than general American patenting from 1977 - 2000
* North American university patenting growth has slowed relative to universities outside North America since the mid-1990s
* Between 2003-2005, they found that university patenting output has significant correlation with the both the quality and quantity of scientific publishing in North America
* In European and Australian universities, patenting correlated only with the quantity of scientific publishing, not with the quality
* In universities Europe, Australia, and North America, patenting correlated only with the quality of scientific publishing

==== Data Sources ====
* USPTO Patenting Data
* Shanghai Jiao Tong University's Academic Ranking of World Universities (ARWU)
* Times Higher Education Supplement's World University Ranking (WUR)
* Quantity was measured by counts of publications
* Quality was measured by citations to said publications
* the relationship between research and patenting was evaluated in two ways
** At the institutional level: patents assigned to universities
** At the individual level: patents with university researchers as the inventors

==== Critiques ====
* citations are not really a perfect measure of research quality and citations have little to do with practical use of the study (i.e. how much technological innovation is generated as a result of academic research publications)

==== Other Discoveries ====

* Study by Landry R., Amara N., and Saihi, M. (2006)
* (Owen Smith and Powell 2003) found that "organizations involved in technological commercialization tend to have higher publication rates than those who are not"
* (Lach and Schankerman 2003) found that "licensing revenues at the university level are positively influenced by publication citations per faculty"

University Patents

2017-04-21T19:08:11Z

Meghanapannala: /* Ranking Development Notes */

{{McNair Projects
|Has title=University Patents
|Has owner=Julia Wang, Meghana Pannala,
|Has keywords=Patent
|Has project status=Active
}}
==Project Overview==
Goal: list of all universities and # of patents associated with each university and patent licensing activity

patent reassignment to startups associated with these universities

clinical trials (from Catherine) data to rank universities R&D engagement

identify list of universities: board of regents, universities in patent data (find patterns associated with university assignees) -- @Julia: Where did we get this list? I'd love to be able filter by country - Meghana

AUTM?

==Timeline to Deliverable & Documentation==

Meghana: focus on grants

Julia: focus on patent counts

'''3/20-3/24'''

Learn SQL, clean data

'''3/27-3/31'''

Counts of data, name matching

Patent Counts
*Ran the matcher in the server, only matched ~40,000 entries
*Working with Jeemin to develop matcher

'''4/3-4/7'''

Counts of data, name matching

Patent Counts
*Jeemin is a savior, matched and counted 128,000 entries (Jeemin_matcher_matched.txt), manually went through the 6,000 unmatched (Jeemin_matcher_unmatched.txt)
*Ranking for all time is in Patent Counting ( >Total (All Time) )
*Need to talk with Meghana about grant data
*Need to find variables for regression, develop ranking for last decade and last year
*Also need to account for school size (faculty? students? research funding?)

'''4/10-4/14'''

Develop ranking

Patent Counts
*Finish all of above
*Start drafting
*Load data onto database

'''4/17-4/21'''

Editing and polishing report

==Ranking Development Notes==
Sources of University Funding R&D [https://www.aaas.org/page/rd-colleges-and-universities]
*Roughly 60% comes from the Federal Government
*Less than 10% comes from state and local governments
*Roughly 20% is from the University itself (endowment?? tuition? not 100% sure)
*Roughly 5% is from private industry
*Less than 10% Other

Federal Government Funding Breakdown [https://www.aaas.org/page/rd-colleges-and-universities]
*Roughly 60% of federal funding is from the NIH
*Roughly 15% is from the NSF
*Roughly 11% from Department of Defense
*Roughly 4% from NASA
*Roughly 4% from the Department of Energy
*Roughly 3% from the USDA
*Roughly 1% from the EPA (probably will go to zero with new admin)
*Roughly 1% from the Department of Education
*Marginal amounts from everywhere else (<1%)

NOTES
*overall ranking (total number of patents)
*weight by faculty (people)
*weight by research funding
*weight by endowment (maybe)
*public vs private
*individuals: surname and first initial
**ranking by inventors - who are the superstar inventors and where are they (define superstar inventor - idk 20 patents and rank universities by how many superstars are present

==Key Words==

===Universities (Patent Assignees)===
BOARD OF REGENTS - pretty much exclusively describes universities

UNIVERSITY - also exclusively describes universities
*Can we do a close match with University? (its the only word on this list that's frequently misspelled)

SCHOOL - often used in combination with medicine or medical to describe medical schools
*also are used to describe actual schools (i.e. HISD) and other businesses
*sometimes present in addresses - can we cut off the adresses?
*also used in combination with Business (i.e. Harvard Business School)
*use school only in conjuction with medical, medicine, and business

COLLEGE
*need to cut off addresses for this to work
*need to ensure that we include the space after
*excl. College Boulevard, college blvd, etc.
*double check everything with College Park

INSTITUTE OF TECHNOLOGY - almost exclusively describes universities but sometimes describes external research institutes

POLYTECHNIC - exclusively university (i.e. RPI, Virginia Tech)

RESEARCH FOUNDATION: VAST majority are university
*Exclusions: it's really difficult to distinguish between university affiliated and not, besides just looking them up on the google
**Novartis
**Progeria
**Washington Research Foundation
**Blood Center of Wisconsins
**Mental Hygiene
**Celiac Sprue
**Fidia
**Samuel Waxman Cancer Center
***founded by a faculty member at Mt. Sinai Medical School,not affil w/a single university but researchers are also usually faculty at various universities
**lifenet
**HealthPartners
**Dr. Susan Love
**La Jolla Cancer Research Foundation
**Children's Hospital (? grants degrees but is a hospital system)
**Medforte
**International Mask
**Palo Alto Medical Foundation

====Exclusions====
*LLC
*LLP

===Technology Transfer Offices===

====Job Titles====
*Patent Portfolio Manager
*Intellectual Property Manager
*Licensing Associate/Licensing Liaison
*Biological Materials Specialist
*Industrial Contracts Officer
*Technology Licensing Officer
*Associate Officer
*Technology Licensing Associates
*Patent Coordinator/Patent Administrator
*IP Portfolio Specialist
*MTA Coordinator
*Sponsored Research Administrator
*Technology Transfer Specialist/Technology Transfer Associate
*Contracts Associate
*Portfolio Director
*Contracts Specialist
*Industry Contracts Analyst
*Patent Prosecution Analyst
*(Associate) Director of Intellectual Property
*(Associate) Director of Technology Transfer Policy
*(Associate) Director of Technology Transactions
*(Associate) Director of Agreement Administration
*Senior Associate - watch
*Patent Attorney/Patent Agent/Patent Counsel/Paralegal - watch

====TTO Names====
*Office of Technology Transfer/Technology Transfer Office
*Office of Technology Licensing/Technology Licensing Office
*Office of Technology Development
*Technology Ventures
*Innovation Services
*Intellectual Property & Industry Research Alliances
*InnovationAccess
*Invention Transfer Group
*Technology Development Group
*Office of Business Development
*Office of Technology Commercialization
*Office of Innovation and Commercialization
*Innovation, Technology & Alliances
*Technology & Industry Alliances
*Office for Management of Intellectual Property
*Innovation & Partnerships Office

===University-Affiliated Startups (Patent Assignees)===

==What to get from other people==

Avesh has clinical trial data on wiki and bulk drive (FDA Trials Data), need to build it into normal form, use clinical trials data to rank R&D engagement of universities, will be building up portfolios of different types of companies

Marcela is cleaning up patent data, has given patent assignee names -- got it! Could we filter by country and get strictly American names?

Catherine has zip codes of medical centers, use to look through patent data

==Questions==
*How innovative are universities compared to publicly-traded firms, etc.? (firms: 100 active patents at any given time)
*How do universities license?
*What does the average portfolio look like for universities? (compared to publicly traded, VC-backed, etc)
*What can explain the differences in rankings? (size, quality of universities, TTOs and quality/experience of workers - searched LinkedIns, geography, entrepreneurship programs, NIH/NSF grants)

==To Do==

*Create ranking
**Based on patent portfolio
**Licensing income
**Quality of TTO
**Publications (specifically based on research)?
**Amount received in grants/Amount of grants - we have numbers on amount of NIH grants and NSF grants
***NIH/NSF/STTR
**Control for school size/endowment
**Startups affiliated with university
***Value generated from these startups? (ask Avesh)
**Existence of entrepreneurship program
**Geography

*Describe average patent portfolio of university
**Number of patents
**Maybe categorize by research area?
*Describe how universities license
**USPTO earned revenue

Deliverable
*Ranking
*Explanation of what makes a good ranking/what factors a school needs to be more successful

Artifacts
*Grant Data
*Research Funding
*Star Scientists
*Regression with variables from Carnegie Classification (10-15 variables)
*Licensing (?)

===What We Have===

*Lit Review
*List of all post-secondary institutions (University Accreditation 3.2016_trim) - U.S. Department of Education
*Classification of universities (Carnegie Classification 2015) - Carnegie Classification
** includes all accredited degree-granting colleges and universities that are included in the National Center for Education Statistics Integrated Postsecondary Education Data System (IPEDS).
** Coverage: 4666 institutions of higher learning
** Variables: includes 94 variables
*** Enrollment data - subdivided into graduate and undergraduate
*** degrees conferred - divided into level and division
*** information on faculty (number, divided into levels i.e. assistant, assoc. and full time)
**** coverage for this variable is REALLY LOW
*** non-faculty research staff (includes post docs)
*** Science and Engineering Research and Development expenditures
*** Non-STEM research and Development expenditures
*Amount spent on R&D (Higher Ed R&D Rankings) - National Science Foundation
** includes just total R&D expenditures
*STTR full data 1995-2015 (STTRData) - Small Business Administration
*University Patent Numbers 1969-2012 - USPTO
*Patents that resulted from NIH grants
*Information about NSF grants

===What We Need===

*List of university-affiliated startups
**looks like AUTM STATT data has this because it was used in a study by Yael Hochberg [https://papers.ssrn.com/sol3/papers2.cfm?abstract_id=2418000]
**[https://www.forbes.com/sites/liyanchen/2015/07/29/americas-most-entrepreneurial-research-universities-2015/#3cb9829b3823| Rankings of Research Universities (2015)]
**FORBES ranked the country’s most entrepreneurial schools based on the numbers of alumni and students who have identified themselves as founders and business owners on LinkedIn (adjusted to total student body size). This year we rank both research universities and [https://www.forbes.com/sites/liyanchen/2015/07/29/americas-most-entrepreneurial-colleges-2015/#2b2909e04604| smaller colleges] separately.
*data about TTOs (# and quality of employees)
**LinkedIn crawler: working with Jeemin and Peter
*licensing data from AUTM [http://www.autm.net/statt] or already within the patent data?

==Name Matching==
*Jeemin has found all the correct and incorrect spellings of assignees with "University"
*Julia working on "Institute"
*We have a list of Universities that have patents from NIH grants, which could be a starting point for our ranking constituents

==Lit Reviews==

===Thursby, J. & Thursby, M.: Who Is Selling the Ivory Tower? Sources of Growth in University Licensing (2002)===

[http://pubsonline.informs.org/doi/pdf/10.1287/mnsc.48.1.90.14271]

@article{thursby2002who,
title={Who Is Selling the Ivory Tower? Sources of Growth in University Licensing},
author={Thursby, Jerry G. and Thursby, Marie C.},
journal={Management Science},
volume={48},
number={1},
pages={90--104},
year={2002},
publisher={INFORMS},
filename={Thursby Thursby (2002) - Who Is Selling the Ivory Tower}
}

*Reliance of industry on university inventions has increased
**AUTM surveys show 7.1% growth in yearly inventions disclosure from 1994-1998 for 64 universities that responded every year
*Primary reason for more disclosures may be increased propensity for faculty to disclose, rather than change in research focus
*Universities becoming more receptive to industry contracts
*Negative total TFP growth of licenses executed (-1.7% annual growth) - growth in disclosures and patent applications greater than the corresponding growth in licenses executed.
**Marginal university innovation offered to the market has declined in commercial appeal
**Universities are delving more deeply into the available pool of innovations to increase commercial activities
*No evidence on the importance of learning by doing on the part of TTOs except to note negative association between TTO growth and TFP growth in licensing
**Suggests at least the possibility of learning by doing effects

'''Other literature'''

*On the role of patents and publications in the transfer process: Adams 1990, Henderson et al. 1998, and Jaffe et al. 1993
*On consulting, sponsored research or institutional ties: Cohen et al. 1998; Mansfield 1995; Zucker et al. 1994, 1998
*On the nature of university licensing: Jensen and Thursby 2001, Mowery et al. 2001a,b, Mowery et al. 2001, Siegel et al. 1999, Thursby et al. 2001, Thursby and Kemp 2001

===Thursby, J., Jensen, Thursby, M.: Objectives, Characteristics and Outcomes of University Licensing: A Survey of Major U.S. Universities (2001)===

[https://pdfs.semanticscholar.org/637f/048c05ee83eb84a914f69e087f52acea1b6c.pdf]

@article{thursby2001objectives,
title={Objectives, Characteristics and Outcomes of University Licensing: A Survey of Major U.S. Universities},
author={Thursby, Jerry G., Jensen, Richard, and Thursby, Marie C.},
journal={The Journal of Technology Transfer},
volume={26},
number={1},
pages={59--72},
year={2001},
publisher={Springer},
abstract={This paper describes results of our survey of licensing at 62 research universities. We consider ownership, income splits, stage of development, marketing, license policies and characteristics, goals of licensing and the role of the inventor in licensing. Based on these results we analyze the relationship between licensing outcomes and both the objectives of the TTO and the characteristics of the technologies. Patent applications grow one-to-one with disclosures, while sponsored research grows similarly with licenses executed. Royalties are typically larger the higher the quality of the faculty and the higher the fraction of licenses that are executed at latter stages of development. Sponsored research is more likely to be included in a license if the new technology is at an early stage of development or if the TTO evaluates it as important. We find that additional disclosures generate smaller percentage increases in licenses, and those increases in licenses generate smaller percentage increases in royalties.},
filename={Thursby et al (2001) - Objectives, Characteristics and Outcomes of University Licensing}
}

*University licensing has increased dramatically post-Bayh-Dole (1980)
**According to AUTM 1996, licenses executed increased 75% from 1991-1996, (total: 13,087)
*Survey of TTOs of 62 major US universities
**Majority of universities retain titles to inventions
**All universities split income with inventors
**Royalties generate most of the revenue of licensing

*Open question: Is the increased propensity of faculty to disclose a response to financial incentives or an increase in the effectiveness of TTOs in inducing disclosure?

Survey
*62/135 universities responded
*63% public, and 62% of public universities that responded were land-grant
*37% private
*average industry sponsored research $16.9 mil, federally sponsored $149.6 mil (1996)
*average TTO: 26.3 licenses executed, 92.3 invention disclosures, 30.1 new patent apps, $4.2 mil income (1996)
*35% of respondents had reorganized TTO since 1990
*90% of universities allow faculty to establish and operate businesses based on technology owned by university but developed in faculty's research
*Inventions disclosed: 33% med schools, 29% engineering, 22% science, 6% agriculture, 10% other
*Majority of invention disclosures in nascent stage (proof of concept - 45% or prototype - 37%)
*Patents often applied for after knowing commercial viability, licensed technologies often not protected by patents
*60% of universities said small companies more likely to take early stage technologies and large companies more likely to take late stage - small firms may have advantage in "innovative" research (Holmstrom 1989)
*TTOs obtain smaller upfront fees the more uncertain the technology being licensed is
*Universities usually do not take equity in the license

Regression of licensing outcomes

[[File:LicensingOutcomeReg.png|500px]]

*Dependent variables: royalties, sponsored research, patents (new applications), licenses executed
*Independent variables: importance of outcome to TTO, types of inventions, measure of size of university's licensing operation/potential
*Logs of all variables except indicator variables
*Probit for frequency of sponsored research
*INVDIS: number of disclosures
*TTOSIZE: number of licensing individuals
*TTOEVAL_1 = 1: if TTOs that said licenses/patents are "not very important"
*TTOEVAL_2 = 1: if TTOs that said licenses/patents are "moderately important"
*PROOF: % of licensed disclosures that were "proof of concept but no prototype"
*PTYPE: "Prototype available but only lab scale"
*MEDSCHL: 1 if med school exists
*QUAL: academic quality of faculty (1993 NRC's survey results of academic quality of Ph.D. granting departments)
*LICENSES: number of licenses executed
*SPONRES: amount of sponsored research
*SPONFREQ: frequency that sponsored research is tied to license (according to TTO)
*patent apps grow 1-to-1 with disclosures
*sponsored research grows with licenses executed
*more licenses executed at universities with large TTOs and med schools
*higher royalties with higher quality of faculty and higher fraction of licenses executed at later stages of development
*additional disclosures generate smaller % increases in licenses, which generate smaller % increases in royalties (TTOs generally effective at tapping pool of available technologies in their universities)

===Thursby, J., Fuller, Thursby, M.: US Faculty Patenting: Inside and Outside the University (2009)===

[http://www.nber.org/papers/w13256.pdf]

@article{thursby2009us,
title = "US Faculty Patenting: Inside and Outside the University",
author = "Jerry G. Thursby, Anne W. Fuller, and Marie C. Thursby",
journal={Research Policy},
volume={38},
number={1},
pages={14--25},
year={2009},
publisher={Elsevier},
abstract = {This paper examines the empirical anomaly that in a sample of 5811 patents on which US faculty are listed as inventors, 26% of the patents are assigned solely to firms rather than to the faculty member's university as is dictated by US university employment policies or the Bayh Dole Act. In this paper we estimate a series of probability models of assignment as a function of patent characteristics, university policy, and inventor fields in order to examine the extent to which outside assignment is nefarious or comes from legitimate activities, such as consulting. Patents assigned to firms (whether established or start-ups with inventor as principal) are less basic than those assigned to universities suggesting these patents result from faculty consulting. A higher inventor share increases the likelihood of university assignment as compared with assignment to a firm in which the inventor is a principal but it has no effect on consulting with established firms versus assignment to the university. Faculty in the physical sciences and engineering are more likely to assign their patents to established firms than those in biological sciences.},
filename={Thursby et al (2009) - US Faculty Patenting},
}

*only 62.4% of patents by university faculty members of 87 universities were assigned solely to universities
*identifying US university patents by institutional assignment misses significant percentage of faculty innovation in US universities
*higher inventor share increases likelihood of university assignment compared with assignment to a firm where inventor is principal
*possibilities: faculty in low share universities may be more willing to seek outside remuneration via assignment to start-up where they are principal; revenue shares may not affect startup activity but simply reduce number of inventions disclosed to university

Sources
*Faculty names from NRC
*Compared with inventor names in NBER Patent Database
*Excluded faculty who do not patent

Patent/Inventor Pairs
*MIT: 315
*Wisconsin: 232
*Stanford: 223
*UC San Diego: 216
*UC Berkeley: 207

Out of 5811 patents:
*1513 assigned solely to firms
*241 assigned to both firms and universities
*327 unassigned
*faculty are principals in assignee firms for 32.3% of patents assigned solely to firms and 24% of patents assigned to both (lower bound)

=== Valdivia: University Start-ups: Critical for Improving Technology Transfer (2013) ===

[https://www.brookings.edu/wp-content/uploads/2016/06/Valdivia_Tech-Transfer_v29_No-Embargo.pdf]

*Current emphasis on licensing patents, but most university TTOs do not generate enough to cover operating expenses
*Asymmetry in distribution of resources across the university system, only a few universities benefit from high licensing revenues
**top 8 universities took 50% of licensing income, top 16 universities took nearly 75% of income
**only 37 universities have been in the top 20 during the last decade (listed in University Patents > LicensingGrossIncome2003-2012.txt)
*Universities face much more pressure to demonstrate the economic impact of their R&D contracts
**97.6% of total public contracts obtained by universities are for basic/applied research
**2% of university research delivers ready-to-use technologies
**academic research is much more dependent on government funding than industry research is
*Government pressure for universities to be more responsive to market forces, more entrepreneurial, more attuned to needs of industry
*TTOs are costly to universities
*1979: 30 universities with TTO -> 1999: 174 universities (AUTM)
*2010: 206 US universities have very high or high research activity, all with TTOs (but not all report to AUTM) (Carnegie Classification of Higher Education)
*Over last 20 years, 87% of universities did not break even
*Clash between aims of university (non-profit) and TTO (essentially a business unit)
*By nurturing start-ups, TTOs can add most economic value to an invention disclosure
*2003: universities initiated 330 startups, 2012: 647 startups
*2012: 3715 operating university startups, almost double the number in 2000 (AUTM 2013)
*Startups mitigate financial risk by reducing reliance on blockbuster patents, increase diversification of portfolio
*Policy proposal: the government should increase funding for Small Business Technology Transfer Program (directed to university start-ups)
**H.R.2981: reapportions STTR funds at 0.05% in the next 2 years and 0.1% henceforth for university enterprises at proof of concept stage
*Should increase portion that agencies set aside for STTR
**STTR should have Phase III like SBIR to fund commercialization efforts
*Need equitable distribution across university system

=== The Bayh-Dole Act and High-Technology Entrepreneurship in U.S. Universities: Chicken, Egg, or Something Else? (2004) ===

[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.484.1612&rep=rep1&type=pdf]

==== Findings ====

* University research has an unusually significant impact on industrial innovation in the biomedical sector
* " This work also suggests that academic research rarely produces “prototypes” of inventions for development
and commercialization by industry—instead, academic research informs the methods and disciplines
employed by firms in their R&D facilities."
* The U.S. higher education system is much larger and more heterogenous than other developed countries - this encourages competition
* The passage of the Bayh-Dole Act was one part of a broader shift in U.S. policy toward stronger
intellectual property rights
* "Universities increased their share of patenting from less than 0.3% in 1963 to nearly 4% by 1999, but the rate of growth in this share begins to accelerate before rather than after 1980."
* "the Act's provisions expressed Congressional support for the negotiation of exclusive licenses between universities and industrial firms for the results of federally funded research"
* licensing revenues account for only a miniscule portion of universities' overall academic budgets
* the acceleration in growth of patenting and licensing began before the passage of the Bayh-Dole Act so this acceleration cannot be wholly attributed to the Act
* "the flow of knowledge and technology between university and industrial research is a two-way flow," despite previous characterization as wholly from academia to industry
* patents seem to be "especially important channels for technology transfer" in the biomedical sector

==== Data Sources ====
* 5 different case studies
1. Cotransformation: a process to transfer genes into mammalian cells (Columbia University).

2. Gallium Nitride: a semiconductor with both military and commercial applications (University of California).

3. Xalatan: a glaucoma treatment (Columbia University).

4. Ames II Tests: a bacteria assay for testing potential carcinogenic properties of pharmaceuticals and cosmetics (University of California).

5. Soluble CD4: a prototype for a drug to fight AIDS (Columbia University).

==== Critiques ====
* focuses on case studies as source of data

===Dornbusch, Schmoch, Schulze, Bethke: Identification of University-Based Patents: A New Large-Scale Approach (2012)===

[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.722.1368&rep=rep1&type=pdf]

Specific for German case, but certain points can help us

European convergence to US model (Bayh-Dole seen as main driver behind growing patent portfolios of US universities)

*University-owned patents (assigned to universities or their TTOs) and university-invented patents (assigned to university-affiliated authors)

Matching lists: traditional matching of lists of university staff/professors with inventor data
*time-consuming, costly, possibly not updated
*typically limited to tenured professors
*does not include Ph.D. students, assistants, lecturers

Matched authors of scientific publications and inventors on patents
*beware of homonyms

Patent data from EPO Worldwide Patent Statistical Database (PATSTAT)

Publication data from Elsevier (Scopus)

Country of origin: Inventor Country/Assignee Country/Applicant Country = Germany, Location of Organization to which author is affiliated =Germany
*Restrict dataset to authors from German organizations and inventors with residence in Germany

The organization

Names: To keep precision high, leave out names with initials only

Location: Postal/zip codes (PATSTAT provides address of inventor's residence, SCOPUS provides info for organization, 96.5% of first digit of inventor and organization postal codes are the same, 85.9% first two digits)

Time window: 2-year window between application and publication date

=== Singh A. and Wong P.K: University patenting activities and their link to the quantity and quality of scientific publications (2009) ===

[https://pdfs.semanticscholar.org/bb3a/df09ca693cdcff6c1f6aaf18113cabec2655.pdf]
==== Findings ====
* patenting by 281 leading world universities has consistently grown faster than general American patenting from 1977 - 2000
* North American university patenting growth has slowed relative to universities outside North America since the mid-1990s
* Between 2003-2005, they found that university patenting output has significant correlation with the both the quality and quantity of scientific publishing in North America
* In European and Australian universities, patenting correlated only with the quantity of scientific publishing, not with the quality
* In universities Europe, Australia, and North America, patenting correlated only with the quality of scientific publishing

==== Data Sources ====
* USPTO Patenting Data
* Shanghai Jiao Tong University's Academic Ranking of World Universities (ARWU)
* Times Higher Education Supplement's World University Ranking (WUR)
* Quantity was measured by counts of publications
* Quality was measured by citations to said publications
* the relationship between research and patenting was evaluated in two ways
** At the institutional level: patents assigned to universities
** At the individual level: patents with university researchers as the inventors

==== Critiques ====
* citations are not really a perfect measure of research quality and citations have little to do with practical use of the study (i.e. how much technological innovation is generated as a result of academic research publications)

==== Other Discoveries ====

* Study by Landry R., Amara N., and Saihi, M. (2006)
* (Owen Smith and Powell 2003) found that "organizations involved in technological commercialization tend to have higher publication rates than those who are not"
* (Lach and Schankerman 2003) found that "licensing revenues at the university level are positively influenced by publication citations per faculty"

University Patents

2017-04-21T18:46:41Z

Meghanapannala: /* Ranking Development Notes */

{{McNair Projects
|Has title=University Patents
|Has owner=Julia Wang, Meghana Pannala,
|Has keywords=Patent
|Has project status=Active
}}
==Project Overview==
Goal: list of all universities and # of patents associated with each university and patent licensing activity

patent reassignment to startups associated with these universities

clinical trials (from Catherine) data to rank universities R&D engagement

identify list of universities: board of regents, universities in patent data (find patterns associated with university assignees) -- @Julia: Where did we get this list? I'd love to be able filter by country - Meghana

AUTM?

==Timeline to Deliverable & Documentation==

Meghana: focus on grants

Julia: focus on patent counts

'''3/20-3/24'''

Learn SQL, clean data

'''3/27-3/31'''

Counts of data, name matching

Patent Counts
*Ran the matcher in the server, only matched ~40,000 entries
*Working with Jeemin to develop matcher

'''4/3-4/7'''

Counts of data, name matching

Patent Counts
*Jeemin is a savior, matched and counted 128,000 entries (Jeemin_matcher_matched.txt), manually went through the 6,000 unmatched (Jeemin_matcher_unmatched.txt)
*Ranking for all time is in Patent Counting ( >Total (All Time) )
*Need to talk with Meghana about grant data
*Need to find variables for regression, develop ranking for last decade and last year
*Also need to account for school size (faculty? students? research funding?)

'''4/10-4/14'''

Develop ranking

Patent Counts
*Finish all of above
*Start drafting
*Load data onto database

'''4/17-4/21'''

Editing and polishing report

==Ranking Development Notes==
Sources of University Funding R&D [https://www.aaas.org/page/rd-colleges-and-universities]
*Roughly 60% comes from the Federal Government
*Less than 10% comes from state and local governments
*Roughly 20% is from the University itself (endowment?? tuition? not 100% sure)
*Roughly 5% is from private industry
*Less than 10% Other

Federal Government Funding Breakdown [https://www.aaas.org/page/rd-colleges-and-universities]
*Roughly 60% of federal funding is from the NIH
*Roughly 15% is from the NSF
*Roughly 11% from Department of Defense
*Roughly 4% from NASA
*Roughly 4% from the Department of Energy
*Roughly 3% from the USDA
*Roughly 1% from the EPA (probably will go to zero with new admin)
*Roughly 1% from the Department of Education
*Marginal amounts from everywhere else (<1%)

==Key Words==

===Universities (Patent Assignees)===
BOARD OF REGENTS - pretty much exclusively describes universities

UNIVERSITY - also exclusively describes universities
*Can we do a close match with University? (its the only word on this list that's frequently misspelled)

SCHOOL - often used in combination with medicine or medical to describe medical schools
*also are used to describe actual schools (i.e. HISD) and other businesses
*sometimes present in addresses - can we cut off the adresses?
*also used in combination with Business (i.e. Harvard Business School)
*use school only in conjuction with medical, medicine, and business

COLLEGE
*need to cut off addresses for this to work
*need to ensure that we include the space after
*excl. College Boulevard, college blvd, etc.
*double check everything with College Park

INSTITUTE OF TECHNOLOGY - almost exclusively describes universities but sometimes describes external research institutes

POLYTECHNIC - exclusively university (i.e. RPI, Virginia Tech)

RESEARCH FOUNDATION: VAST majority are university
*Exclusions: it's really difficult to distinguish between university affiliated and not, besides just looking them up on the google
**Novartis
**Progeria
**Washington Research Foundation
**Blood Center of Wisconsins
**Mental Hygiene
**Celiac Sprue
**Fidia
**Samuel Waxman Cancer Center
***founded by a faculty member at Mt. Sinai Medical School,not affil w/a single university but researchers are also usually faculty at various universities
**lifenet
**HealthPartners
**Dr. Susan Love
**La Jolla Cancer Research Foundation
**Children's Hospital (? grants degrees but is a hospital system)
**Medforte
**International Mask
**Palo Alto Medical Foundation

====Exclusions====
*LLC
*LLP

===Technology Transfer Offices===

====Job Titles====
*Patent Portfolio Manager
*Intellectual Property Manager
*Licensing Associate/Licensing Liaison
*Biological Materials Specialist
*Industrial Contracts Officer
*Technology Licensing Officer
*Associate Officer
*Technology Licensing Associates
*Patent Coordinator/Patent Administrator
*IP Portfolio Specialist
*MTA Coordinator
*Sponsored Research Administrator
*Technology Transfer Specialist/Technology Transfer Associate
*Contracts Associate
*Portfolio Director
*Contracts Specialist
*Industry Contracts Analyst
*Patent Prosecution Analyst
*(Associate) Director of Intellectual Property
*(Associate) Director of Technology Transfer Policy
*(Associate) Director of Technology Transactions
*(Associate) Director of Agreement Administration
*Senior Associate - watch
*Patent Attorney/Patent Agent/Patent Counsel/Paralegal - watch

====TTO Names====
*Office of Technology Transfer/Technology Transfer Office
*Office of Technology Licensing/Technology Licensing Office
*Office of Technology Development
*Technology Ventures
*Innovation Services
*Intellectual Property & Industry Research Alliances
*InnovationAccess
*Invention Transfer Group
*Technology Development Group
*Office of Business Development
*Office of Technology Commercialization
*Office of Innovation and Commercialization
*Innovation, Technology & Alliances
*Technology & Industry Alliances
*Office for Management of Intellectual Property
*Innovation & Partnerships Office

===University-Affiliated Startups (Patent Assignees)===

==What to get from other people==

Avesh has clinical trial data on wiki and bulk drive (FDA Trials Data), need to build it into normal form, use clinical trials data to rank R&D engagement of universities, will be building up portfolios of different types of companies

Marcela is cleaning up patent data, has given patent assignee names -- got it! Could we filter by country and get strictly American names?

Catherine has zip codes of medical centers, use to look through patent data

==Questions==
*How innovative are universities compared to publicly-traded firms, etc.? (firms: 100 active patents at any given time)
*How do universities license?
*What does the average portfolio look like for universities? (compared to publicly traded, VC-backed, etc)
*What can explain the differences in rankings? (size, quality of universities, TTOs and quality/experience of workers - searched LinkedIns, geography, entrepreneurship programs, NIH/NSF grants)

==To Do==

*Create ranking
**Based on patent portfolio
**Licensing income
**Quality of TTO
**Publications (specifically based on research)?
**Amount received in grants/Amount of grants - we have numbers on amount of NIH grants and NSF grants
***NIH/NSF/STTR
**Control for school size/endowment
**Startups affiliated with university
***Value generated from these startups? (ask Avesh)
**Existence of entrepreneurship program
**Geography

*Describe average patent portfolio of university
**Number of patents
**Maybe categorize by research area?
*Describe how universities license
**USPTO earned revenue

Deliverable
*Ranking
*Explanation of what makes a good ranking/what factors a school needs to be more successful

Artifacts
*Grant Data
*Research Funding
*Star Scientists
*Regression with variables from Carnegie Classification (10-15 variables)
*Licensing (?)

===What We Have===

*Lit Review
*List of all post-secondary institutions (University Accreditation 3.2016_trim) - U.S. Department of Education
*Classification of universities (Carnegie Classification 2015) - Carnegie Classification
** includes all accredited degree-granting colleges and universities that are included in the National Center for Education Statistics Integrated Postsecondary Education Data System (IPEDS).
** Coverage: 4666 institutions of higher learning
** Variables: includes 94 variables
*** Enrollment data - subdivided into graduate and undergraduate
*** degrees conferred - divided into level and division
*** information on faculty (number, divided into levels i.e. assistant, assoc. and full time)
**** coverage for this variable is REALLY LOW
*** non-faculty research staff (includes post docs)
*** Science and Engineering Research and Development expenditures
*** Non-STEM research and Development expenditures
*Amount spent on R&D (Higher Ed R&D Rankings) - National Science Foundation
** includes just total R&D expenditures
*STTR full data 1995-2015 (STTRData) - Small Business Administration
*University Patent Numbers 1969-2012 - USPTO
*Patents that resulted from NIH grants
*Information about NSF grants

===What We Need===

*List of university-affiliated startups
**looks like AUTM STATT data has this because it was used in a study by Yael Hochberg [https://papers.ssrn.com/sol3/papers2.cfm?abstract_id=2418000]
**[https://www.forbes.com/sites/liyanchen/2015/07/29/americas-most-entrepreneurial-research-universities-2015/#3cb9829b3823| Rankings of Research Universities (2015)]
**FORBES ranked the country’s most entrepreneurial schools based on the numbers of alumni and students who have identified themselves as founders and business owners on LinkedIn (adjusted to total student body size). This year we rank both research universities and [https://www.forbes.com/sites/liyanchen/2015/07/29/americas-most-entrepreneurial-colleges-2015/#2b2909e04604| smaller colleges] separately.
*data about TTOs (# and quality of employees)
**LinkedIn crawler: working with Jeemin and Peter
*licensing data from AUTM [http://www.autm.net/statt] or already within the patent data?

==Name Matching==
*Jeemin has found all the correct and incorrect spellings of assignees with "University"
*Julia working on "Institute"
*We have a list of Universities that have patents from NIH grants, which could be a starting point for our ranking constituents

==Lit Reviews==

===Thursby, J. & Thursby, M.: Who Is Selling the Ivory Tower? Sources of Growth in University Licensing (2002)===

[http://pubsonline.informs.org/doi/pdf/10.1287/mnsc.48.1.90.14271]

@article{thursby2002who,
title={Who Is Selling the Ivory Tower? Sources of Growth in University Licensing},
author={Thursby, Jerry G. and Thursby, Marie C.},
journal={Management Science},
volume={48},
number={1},
pages={90--104},
year={2002},
publisher={INFORMS},
filename={Thursby Thursby (2002) - Who Is Selling the Ivory Tower}
}

*Reliance of industry on university inventions has increased
**AUTM surveys show 7.1% growth in yearly inventions disclosure from 1994-1998 for 64 universities that responded every year
*Primary reason for more disclosures may be increased propensity for faculty to disclose, rather than change in research focus
*Universities becoming more receptive to industry contracts
*Negative total TFP growth of licenses executed (-1.7% annual growth) - growth in disclosures and patent applications greater than the corresponding growth in licenses executed.
**Marginal university innovation offered to the market has declined in commercial appeal
**Universities are delving more deeply into the available pool of innovations to increase commercial activities
*No evidence on the importance of learning by doing on the part of TTOs except to note negative association between TTO growth and TFP growth in licensing
**Suggests at least the possibility of learning by doing effects

'''Other literature'''

*On the role of patents and publications in the transfer process: Adams 1990, Henderson et al. 1998, and Jaffe et al. 1993
*On consulting, sponsored research or institutional ties: Cohen et al. 1998; Mansfield 1995; Zucker et al. 1994, 1998
*On the nature of university licensing: Jensen and Thursby 2001, Mowery et al. 2001a,b, Mowery et al. 2001, Siegel et al. 1999, Thursby et al. 2001, Thursby and Kemp 2001

===Thursby, J., Jensen, Thursby, M.: Objectives, Characteristics and Outcomes of University Licensing: A Survey of Major U.S. Universities (2001)===

[https://pdfs.semanticscholar.org/637f/048c05ee83eb84a914f69e087f52acea1b6c.pdf]

@article{thursby2001objectives,
title={Objectives, Characteristics and Outcomes of University Licensing: A Survey of Major U.S. Universities},
author={Thursby, Jerry G., Jensen, Richard, and Thursby, Marie C.},
journal={The Journal of Technology Transfer},
volume={26},
number={1},
pages={59--72},
year={2001},
publisher={Springer},
abstract={This paper describes results of our survey of licensing at 62 research universities. We consider ownership, income splits, stage of development, marketing, license policies and characteristics, goals of licensing and the role of the inventor in licensing. Based on these results we analyze the relationship between licensing outcomes and both the objectives of the TTO and the characteristics of the technologies. Patent applications grow one-to-one with disclosures, while sponsored research grows similarly with licenses executed. Royalties are typically larger the higher the quality of the faculty and the higher the fraction of licenses that are executed at latter stages of development. Sponsored research is more likely to be included in a license if the new technology is at an early stage of development or if the TTO evaluates it as important. We find that additional disclosures generate smaller percentage increases in licenses, and those increases in licenses generate smaller percentage increases in royalties.},
filename={Thursby et al (2001) - Objectives, Characteristics and Outcomes of University Licensing}
}

*University licensing has increased dramatically post-Bayh-Dole (1980)
**According to AUTM 1996, licenses executed increased 75% from 1991-1996, (total: 13,087)
*Survey of TTOs of 62 major US universities
**Majority of universities retain titles to inventions
**All universities split income with inventors
**Royalties generate most of the revenue of licensing

*Open question: Is the increased propensity of faculty to disclose a response to financial incentives or an increase in the effectiveness of TTOs in inducing disclosure?

Survey
*62/135 universities responded
*63% public, and 62% of public universities that responded were land-grant
*37% private
*average industry sponsored research $16.9 mil, federally sponsored $149.6 mil (1996)
*average TTO: 26.3 licenses executed, 92.3 invention disclosures, 30.1 new patent apps, $4.2 mil income (1996)
*35% of respondents had reorganized TTO since 1990
*90% of universities allow faculty to establish and operate businesses based on technology owned by university but developed in faculty's research
*Inventions disclosed: 33% med schools, 29% engineering, 22% science, 6% agriculture, 10% other
*Majority of invention disclosures in nascent stage (proof of concept - 45% or prototype - 37%)
*Patents often applied for after knowing commercial viability, licensed technologies often not protected by patents
*60% of universities said small companies more likely to take early stage technologies and large companies more likely to take late stage - small firms may have advantage in "innovative" research (Holmstrom 1989)
*TTOs obtain smaller upfront fees the more uncertain the technology being licensed is
*Universities usually do not take equity in the license

Regression of licensing outcomes

[[File:LicensingOutcomeReg.png|500px]]

*Dependent variables: royalties, sponsored research, patents (new applications), licenses executed
*Independent variables: importance of outcome to TTO, types of inventions, measure of size of university's licensing operation/potential
*Logs of all variables except indicator variables
*Probit for frequency of sponsored research
*INVDIS: number of disclosures
*TTOSIZE: number of licensing individuals
*TTOEVAL_1 = 1: if TTOs that said licenses/patents are "not very important"
*TTOEVAL_2 = 1: if TTOs that said licenses/patents are "moderately important"
*PROOF: % of licensed disclosures that were "proof of concept but no prototype"
*PTYPE: "Prototype available but only lab scale"
*MEDSCHL: 1 if med school exists
*QUAL: academic quality of faculty (1993 NRC's survey results of academic quality of Ph.D. granting departments)
*LICENSES: number of licenses executed
*SPONRES: amount of sponsored research
*SPONFREQ: frequency that sponsored research is tied to license (according to TTO)
*patent apps grow 1-to-1 with disclosures
*sponsored research grows with licenses executed
*more licenses executed at universities with large TTOs and med schools
*higher royalties with higher quality of faculty and higher fraction of licenses executed at later stages of development
*additional disclosures generate smaller % increases in licenses, which generate smaller % increases in royalties (TTOs generally effective at tapping pool of available technologies in their universities)

===Thursby, J., Fuller, Thursby, M.: US Faculty Patenting: Inside and Outside the University (2009)===

[http://www.nber.org/papers/w13256.pdf]

@article{thursby2009us,
title = "US Faculty Patenting: Inside and Outside the University",
author = "Jerry G. Thursby, Anne W. Fuller, and Marie C. Thursby",
journal={Research Policy},
volume={38},
number={1},
pages={14--25},
year={2009},
publisher={Elsevier},
abstract = {This paper examines the empirical anomaly that in a sample of 5811 patents on which US faculty are listed as inventors, 26% of the patents are assigned solely to firms rather than to the faculty member's university as is dictated by US university employment policies or the Bayh Dole Act. In this paper we estimate a series of probability models of assignment as a function of patent characteristics, university policy, and inventor fields in order to examine the extent to which outside assignment is nefarious or comes from legitimate activities, such as consulting. Patents assigned to firms (whether established or start-ups with inventor as principal) are less basic than those assigned to universities suggesting these patents result from faculty consulting. A higher inventor share increases the likelihood of university assignment as compared with assignment to a firm in which the inventor is a principal but it has no effect on consulting with established firms versus assignment to the university. Faculty in the physical sciences and engineering are more likely to assign their patents to established firms than those in biological sciences.},
filename={Thursby et al (2009) - US Faculty Patenting},
}

*only 62.4% of patents by university faculty members of 87 universities were assigned solely to universities
*identifying US university patents by institutional assignment misses significant percentage of faculty innovation in US universities
*higher inventor share increases likelihood of university assignment compared with assignment to a firm where inventor is principal
*possibilities: faculty in low share universities may be more willing to seek outside remuneration via assignment to start-up where they are principal; revenue shares may not affect startup activity but simply reduce number of inventions disclosed to university

Sources
*Faculty names from NRC
*Compared with inventor names in NBER Patent Database
*Excluded faculty who do not patent

Patent/Inventor Pairs
*MIT: 315
*Wisconsin: 232
*Stanford: 223
*UC San Diego: 216
*UC Berkeley: 207

Out of 5811 patents:
*1513 assigned solely to firms
*241 assigned to both firms and universities
*327 unassigned
*faculty are principals in assignee firms for 32.3% of patents assigned solely to firms and 24% of patents assigned to both (lower bound)

=== Valdivia: University Start-ups: Critical for Improving Technology Transfer (2013) ===

[https://www.brookings.edu/wp-content/uploads/2016/06/Valdivia_Tech-Transfer_v29_No-Embargo.pdf]

*Current emphasis on licensing patents, but most university TTOs do not generate enough to cover operating expenses
*Asymmetry in distribution of resources across the university system, only a few universities benefit from high licensing revenues
**top 8 universities took 50% of licensing income, top 16 universities took nearly 75% of income
**only 37 universities have been in the top 20 during the last decade (listed in University Patents > LicensingGrossIncome2003-2012.txt)
*Universities face much more pressure to demonstrate the economic impact of their R&D contracts
**97.6% of total public contracts obtained by universities are for basic/applied research
**2% of university research delivers ready-to-use technologies
**academic research is much more dependent on government funding than industry research is
*Government pressure for universities to be more responsive to market forces, more entrepreneurial, more attuned to needs of industry
*TTOs are costly to universities
*1979: 30 universities with TTO -> 1999: 174 universities (AUTM)
*2010: 206 US universities have very high or high research activity, all with TTOs (but not all report to AUTM) (Carnegie Classification of Higher Education)
*Over last 20 years, 87% of universities did not break even
*Clash between aims of university (non-profit) and TTO (essentially a business unit)
*By nurturing start-ups, TTOs can add most economic value to an invention disclosure
*2003: universities initiated 330 startups, 2012: 647 startups
*2012: 3715 operating university startups, almost double the number in 2000 (AUTM 2013)
*Startups mitigate financial risk by reducing reliance on blockbuster patents, increase diversification of portfolio
*Policy proposal: the government should increase funding for Small Business Technology Transfer Program (directed to university start-ups)
**H.R.2981: reapportions STTR funds at 0.05% in the next 2 years and 0.1% henceforth for university enterprises at proof of concept stage
*Should increase portion that agencies set aside for STTR
**STTR should have Phase III like SBIR to fund commercialization efforts
*Need equitable distribution across university system

=== The Bayh-Dole Act and High-Technology Entrepreneurship in U.S. Universities: Chicken, Egg, or Something Else? (2004) ===

[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.484.1612&rep=rep1&type=pdf]

==== Findings ====

* University research has an unusually significant impact on industrial innovation in the biomedical sector
* " This work also suggests that academic research rarely produces “prototypes” of inventions for development
and commercialization by industry—instead, academic research informs the methods and disciplines
employed by firms in their R&D facilities."
* The U.S. higher education system is much larger and more heterogenous than other developed countries - this encourages competition
* The passage of the Bayh-Dole Act was one part of a broader shift in U.S. policy toward stronger
intellectual property rights
* "Universities increased their share of patenting from less than 0.3% in 1963 to nearly 4% by 1999, but the rate of growth in this share begins to accelerate before rather than after 1980."
* "the Act's provisions expressed Congressional support for the negotiation of exclusive licenses between universities and industrial firms for the results of federally funded research"
* licensing revenues account for only a miniscule portion of universities' overall academic budgets
* the acceleration in growth of patenting and licensing began before the passage of the Bayh-Dole Act so this acceleration cannot be wholly attributed to the Act
* "the flow of knowledge and technology between university and industrial research is a two-way flow," despite previous characterization as wholly from academia to industry
* patents seem to be "especially important channels for technology transfer" in the biomedical sector

==== Data Sources ====
* 5 different case studies
1. Cotransformation: a process to transfer genes into mammalian cells (Columbia University).

2. Gallium Nitride: a semiconductor with both military and commercial applications (University of California).

3. Xalatan: a glaucoma treatment (Columbia University).

4. Ames II Tests: a bacteria assay for testing potential carcinogenic properties of pharmaceuticals and cosmetics (University of California).

5. Soluble CD4: a prototype for a drug to fight AIDS (Columbia University).

==== Critiques ====
* focuses on case studies as source of data

===Dornbusch, Schmoch, Schulze, Bethke: Identification of University-Based Patents: A New Large-Scale Approach (2012)===

[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.722.1368&rep=rep1&type=pdf]

Specific for German case, but certain points can help us

European convergence to US model (Bayh-Dole seen as main driver behind growing patent portfolios of US universities)

*University-owned patents (assigned to universities or their TTOs) and university-invented patents (assigned to university-affiliated authors)

Matching lists: traditional matching of lists of university staff/professors with inventor data
*time-consuming, costly, possibly not updated
*typically limited to tenured professors
*does not include Ph.D. students, assistants, lecturers

Matched authors of scientific publications and inventors on patents
*beware of homonyms

Patent data from EPO Worldwide Patent Statistical Database (PATSTAT)

Publication data from Elsevier (Scopus)

Country of origin: Inventor Country/Assignee Country/Applicant Country = Germany, Location of Organization to which author is affiliated =Germany
*Restrict dataset to authors from German organizations and inventors with residence in Germany

The organization

Names: To keep precision high, leave out names with initials only

Location: Postal/zip codes (PATSTAT provides address of inventor's residence, SCOPUS provides info for organization, 96.5% of first digit of inventor and organization postal codes are the same, 85.9% first two digits)

Time window: 2-year window between application and publication date

=== Singh A. and Wong P.K: University patenting activities and their link to the quantity and quality of scientific publications (2009) ===

[https://pdfs.semanticscholar.org/bb3a/df09ca693cdcff6c1f6aaf18113cabec2655.pdf]
==== Findings ====
* patenting by 281 leading world universities has consistently grown faster than general American patenting from 1977 - 2000
* North American university patenting growth has slowed relative to universities outside North America since the mid-1990s
* Between 2003-2005, they found that university patenting output has significant correlation with the both the quality and quantity of scientific publishing in North America
* In European and Australian universities, patenting correlated only with the quantity of scientific publishing, not with the quality
* In universities Europe, Australia, and North America, patenting correlated only with the quality of scientific publishing

==== Data Sources ====
* USPTO Patenting Data
* Shanghai Jiao Tong University's Academic Ranking of World Universities (ARWU)
* Times Higher Education Supplement's World University Ranking (WUR)
* Quantity was measured by counts of publications
* Quality was measured by citations to said publications
* the relationship between research and patenting was evaluated in two ways
** At the institutional level: patents assigned to universities
** At the individual level: patents with university researchers as the inventors

==== Critiques ====
* citations are not really a perfect measure of research quality and citations have little to do with practical use of the study (i.e. how much technological innovation is generated as a result of academic research publications)

==== Other Discoveries ====

* Study by Landry R., Amara N., and Saihi, M. (2006)
* (Owen Smith and Powell 2003) found that "organizations involved in technological commercialization tend to have higher publication rates than those who are not"
* (Lach and Schankerman 2003) found that "licensing revenues at the university level are positively influenced by publication citations per faculty"

University Patents

2017-04-21T18:46:26Z

Meghanapannala: /* Ranking Development Notes */

{{McNair Projects
|Has title=University Patents
|Has owner=Julia Wang, Meghana Pannala,
|Has keywords=Patent
|Has project status=Active
}}
==Project Overview==
Goal: list of all universities and # of patents associated with each university and patent licensing activity

patent reassignment to startups associated with these universities

clinical trials (from Catherine) data to rank universities R&D engagement

identify list of universities: board of regents, universities in patent data (find patterns associated with university assignees) -- @Julia: Where did we get this list? I'd love to be able filter by country - Meghana

AUTM?

==Timeline to Deliverable & Documentation==

Meghana: focus on grants

Julia: focus on patent counts

'''3/20-3/24'''

Learn SQL, clean data

'''3/27-3/31'''

Counts of data, name matching

Patent Counts
*Ran the matcher in the server, only matched ~40,000 entries
*Working with Jeemin to develop matcher

'''4/3-4/7'''

Counts of data, name matching

Patent Counts
*Jeemin is a savior, matched and counted 128,000 entries (Jeemin_matcher_matched.txt), manually went through the 6,000 unmatched (Jeemin_matcher_unmatched.txt)
*Ranking for all time is in Patent Counting ( >Total (All Time) )
*Need to talk with Meghana about grant data
*Need to find variables for regression, develop ranking for last decade and last year
*Also need to account for school size (faculty? students? research funding?)

'''4/10-4/14'''

Develop ranking

Patent Counts
*Finish all of above
*Start drafting
*Load data onto database

'''4/17-4/21'''

Editing and polishing report

==Ranking Development Notes==
Sources of University Funding R&D
[https://www.aaas.org/page/rd-colleges-and-universities]
*Roughly 60% comes from the Federal Government
*Less than 10% comes from state and local governments
*Roughly 20% is from the University itself (endowment?? tuition? not 100% sure)
*Roughly 5% is from private industry
*Less than 10% Other

Federal Government Funding Breakdown
[https://www.aaas.org/page/rd-colleges-and-universities]
*Roughly 60% of federal funding is from the NIH
*Roughly 15% is from the NSF
*Roughly 11% from Department of Defense
*Roughly 4% from NASA
*Roughly 4% from the Department of Energy
*Roughly 3% from the USDA
*Roughly 1% from the EPA (probably will go to zero with new admin)
*Roughly 1% from the Department of Education
*Marginal amounts from everywhere else (<1%)

==Key Words==

===Universities (Patent Assignees)===
BOARD OF REGENTS - pretty much exclusively describes universities

UNIVERSITY - also exclusively describes universities
*Can we do a close match with University? (its the only word on this list that's frequently misspelled)

SCHOOL - often used in combination with medicine or medical to describe medical schools
*also are used to describe actual schools (i.e. HISD) and other businesses
*sometimes present in addresses - can we cut off the adresses?
*also used in combination with Business (i.e. Harvard Business School)
*use school only in conjuction with medical, medicine, and business

COLLEGE
*need to cut off addresses for this to work
*need to ensure that we include the space after
*excl. College Boulevard, college blvd, etc.
*double check everything with College Park

INSTITUTE OF TECHNOLOGY - almost exclusively describes universities but sometimes describes external research institutes

POLYTECHNIC - exclusively university (i.e. RPI, Virginia Tech)

RESEARCH FOUNDATION: VAST majority are university
*Exclusions: it's really difficult to distinguish between university affiliated and not, besides just looking them up on the google
**Novartis
**Progeria
**Washington Research Foundation
**Blood Center of Wisconsins
**Mental Hygiene
**Celiac Sprue
**Fidia
**Samuel Waxman Cancer Center
***founded by a faculty member at Mt. Sinai Medical School,not affil w/a single university but researchers are also usually faculty at various universities
**lifenet
**HealthPartners
**Dr. Susan Love
**La Jolla Cancer Research Foundation
**Children's Hospital (? grants degrees but is a hospital system)
**Medforte
**International Mask
**Palo Alto Medical Foundation

====Exclusions====
*LLC
*LLP

===Technology Transfer Offices===

====Job Titles====
*Patent Portfolio Manager
*Intellectual Property Manager
*Licensing Associate/Licensing Liaison
*Biological Materials Specialist
*Industrial Contracts Officer
*Technology Licensing Officer
*Associate Officer
*Technology Licensing Associates
*Patent Coordinator/Patent Administrator
*IP Portfolio Specialist
*MTA Coordinator
*Sponsored Research Administrator
*Technology Transfer Specialist/Technology Transfer Associate
*Contracts Associate
*Portfolio Director
*Contracts Specialist
*Industry Contracts Analyst
*Patent Prosecution Analyst
*(Associate) Director of Intellectual Property
*(Associate) Director of Technology Transfer Policy
*(Associate) Director of Technology Transactions
*(Associate) Director of Agreement Administration
*Senior Associate - watch
*Patent Attorney/Patent Agent/Patent Counsel/Paralegal - watch

====TTO Names====
*Office of Technology Transfer/Technology Transfer Office
*Office of Technology Licensing/Technology Licensing Office
*Office of Technology Development
*Technology Ventures
*Innovation Services
*Intellectual Property & Industry Research Alliances
*InnovationAccess
*Invention Transfer Group
*Technology Development Group
*Office of Business Development
*Office of Technology Commercialization
*Office of Innovation and Commercialization
*Innovation, Technology & Alliances
*Technology & Industry Alliances
*Office for Management of Intellectual Property
*Innovation & Partnerships Office

===University-Affiliated Startups (Patent Assignees)===

==What to get from other people==

Avesh has clinical trial data on wiki and bulk drive (FDA Trials Data), need to build it into normal form, use clinical trials data to rank R&D engagement of universities, will be building up portfolios of different types of companies

Marcela is cleaning up patent data, has given patent assignee names -- got it! Could we filter by country and get strictly American names?

Catherine has zip codes of medical centers, use to look through patent data

==Questions==
*How innovative are universities compared to publicly-traded firms, etc.? (firms: 100 active patents at any given time)
*How do universities license?
*What does the average portfolio look like for universities? (compared to publicly traded, VC-backed, etc)
*What can explain the differences in rankings? (size, quality of universities, TTOs and quality/experience of workers - searched LinkedIns, geography, entrepreneurship programs, NIH/NSF grants)

==To Do==

*Create ranking
**Based on patent portfolio
**Licensing income
**Quality of TTO
**Publications (specifically based on research)?
**Amount received in grants/Amount of grants - we have numbers on amount of NIH grants and NSF grants
***NIH/NSF/STTR
**Control for school size/endowment
**Startups affiliated with university
***Value generated from these startups? (ask Avesh)
**Existence of entrepreneurship program
**Geography

*Describe average patent portfolio of university
**Number of patents
**Maybe categorize by research area?
*Describe how universities license
**USPTO earned revenue

Deliverable
*Ranking
*Explanation of what makes a good ranking/what factors a school needs to be more successful

Artifacts
*Grant Data
*Research Funding
*Star Scientists
*Regression with variables from Carnegie Classification (10-15 variables)
*Licensing (?)

===What We Have===

*Lit Review
*List of all post-secondary institutions (University Accreditation 3.2016_trim) - U.S. Department of Education
*Classification of universities (Carnegie Classification 2015) - Carnegie Classification
** includes all accredited degree-granting colleges and universities that are included in the National Center for Education Statistics Integrated Postsecondary Education Data System (IPEDS).
** Coverage: 4666 institutions of higher learning
** Variables: includes 94 variables
*** Enrollment data - subdivided into graduate and undergraduate
*** degrees conferred - divided into level and division
*** information on faculty (number, divided into levels i.e. assistant, assoc. and full time)
**** coverage for this variable is REALLY LOW
*** non-faculty research staff (includes post docs)
*** Science and Engineering Research and Development expenditures
*** Non-STEM research and Development expenditures
*Amount spent on R&D (Higher Ed R&D Rankings) - National Science Foundation
** includes just total R&D expenditures
*STTR full data 1995-2015 (STTRData) - Small Business Administration
*University Patent Numbers 1969-2012 - USPTO
*Patents that resulted from NIH grants
*Information about NSF grants

===What We Need===

*List of university-affiliated startups
**looks like AUTM STATT data has this because it was used in a study by Yael Hochberg [https://papers.ssrn.com/sol3/papers2.cfm?abstract_id=2418000]
**[https://www.forbes.com/sites/liyanchen/2015/07/29/americas-most-entrepreneurial-research-universities-2015/#3cb9829b3823| Rankings of Research Universities (2015)]
**FORBES ranked the country’s most entrepreneurial schools based on the numbers of alumni and students who have identified themselves as founders and business owners on LinkedIn (adjusted to total student body size). This year we rank both research universities and [https://www.forbes.com/sites/liyanchen/2015/07/29/americas-most-entrepreneurial-colleges-2015/#2b2909e04604| smaller colleges] separately.
*data about TTOs (# and quality of employees)
**LinkedIn crawler: working with Jeemin and Peter
*licensing data from AUTM [http://www.autm.net/statt] or already within the patent data?

==Name Matching==
*Jeemin has found all the correct and incorrect spellings of assignees with "University"
*Julia working on "Institute"
*We have a list of Universities that have patents from NIH grants, which could be a starting point for our ranking constituents

==Lit Reviews==

===Thursby, J. & Thursby, M.: Who Is Selling the Ivory Tower? Sources of Growth in University Licensing (2002)===

[http://pubsonline.informs.org/doi/pdf/10.1287/mnsc.48.1.90.14271]

@article{thursby2002who,
title={Who Is Selling the Ivory Tower? Sources of Growth in University Licensing},
author={Thursby, Jerry G. and Thursby, Marie C.},
journal={Management Science},
volume={48},
number={1},
pages={90--104},
year={2002},
publisher={INFORMS},
filename={Thursby Thursby (2002) - Who Is Selling the Ivory Tower}
}

*Reliance of industry on university inventions has increased
**AUTM surveys show 7.1% growth in yearly inventions disclosure from 1994-1998 for 64 universities that responded every year
*Primary reason for more disclosures may be increased propensity for faculty to disclose, rather than change in research focus
*Universities becoming more receptive to industry contracts
*Negative total TFP growth of licenses executed (-1.7% annual growth) - growth in disclosures and patent applications greater than the corresponding growth in licenses executed.
**Marginal university innovation offered to the market has declined in commercial appeal
**Universities are delving more deeply into the available pool of innovations to increase commercial activities
*No evidence on the importance of learning by doing on the part of TTOs except to note negative association between TTO growth and TFP growth in licensing
**Suggests at least the possibility of learning by doing effects

'''Other literature'''

*On the role of patents and publications in the transfer process: Adams 1990, Henderson et al. 1998, and Jaffe et al. 1993
*On consulting, sponsored research or institutional ties: Cohen et al. 1998; Mansfield 1995; Zucker et al. 1994, 1998
*On the nature of university licensing: Jensen and Thursby 2001, Mowery et al. 2001a,b, Mowery et al. 2001, Siegel et al. 1999, Thursby et al. 2001, Thursby and Kemp 2001

===Thursby, J., Jensen, Thursby, M.: Objectives, Characteristics and Outcomes of University Licensing: A Survey of Major U.S. Universities (2001)===

[https://pdfs.semanticscholar.org/637f/048c05ee83eb84a914f69e087f52acea1b6c.pdf]

@article{thursby2001objectives,
title={Objectives, Characteristics and Outcomes of University Licensing: A Survey of Major U.S. Universities},
author={Thursby, Jerry G., Jensen, Richard, and Thursby, Marie C.},
journal={The Journal of Technology Transfer},
volume={26},
number={1},
pages={59--72},
year={2001},
publisher={Springer},
abstract={This paper describes results of our survey of licensing at 62 research universities. We consider ownership, income splits, stage of development, marketing, license policies and characteristics, goals of licensing and the role of the inventor in licensing. Based on these results we analyze the relationship between licensing outcomes and both the objectives of the TTO and the characteristics of the technologies. Patent applications grow one-to-one with disclosures, while sponsored research grows similarly with licenses executed. Royalties are typically larger the higher the quality of the faculty and the higher the fraction of licenses that are executed at latter stages of development. Sponsored research is more likely to be included in a license if the new technology is at an early stage of development or if the TTO evaluates it as important. We find that additional disclosures generate smaller percentage increases in licenses, and those increases in licenses generate smaller percentage increases in royalties.},
filename={Thursby et al (2001) - Objectives, Characteristics and Outcomes of University Licensing}
}

*University licensing has increased dramatically post-Bayh-Dole (1980)
**According to AUTM 1996, licenses executed increased 75% from 1991-1996, (total: 13,087)
*Survey of TTOs of 62 major US universities
**Majority of universities retain titles to inventions
**All universities split income with inventors
**Royalties generate most of the revenue of licensing

*Open question: Is the increased propensity of faculty to disclose a response to financial incentives or an increase in the effectiveness of TTOs in inducing disclosure?

Survey
*62/135 universities responded
*63% public, and 62% of public universities that responded were land-grant
*37% private
*average industry sponsored research $16.9 mil, federally sponsored $149.6 mil (1996)
*average TTO: 26.3 licenses executed, 92.3 invention disclosures, 30.1 new patent apps, $4.2 mil income (1996)
*35% of respondents had reorganized TTO since 1990
*90% of universities allow faculty to establish and operate businesses based on technology owned by university but developed in faculty's research
*Inventions disclosed: 33% med schools, 29% engineering, 22% science, 6% agriculture, 10% other
*Majority of invention disclosures in nascent stage (proof of concept - 45% or prototype - 37%)
*Patents often applied for after knowing commercial viability, licensed technologies often not protected by patents
*60% of universities said small companies more likely to take early stage technologies and large companies more likely to take late stage - small firms may have advantage in "innovative" research (Holmstrom 1989)
*TTOs obtain smaller upfront fees the more uncertain the technology being licensed is
*Universities usually do not take equity in the license

Regression of licensing outcomes

[[File:LicensingOutcomeReg.png|500px]]

*Dependent variables: royalties, sponsored research, patents (new applications), licenses executed
*Independent variables: importance of outcome to TTO, types of inventions, measure of size of university's licensing operation/potential
*Logs of all variables except indicator variables
*Probit for frequency of sponsored research
*INVDIS: number of disclosures
*TTOSIZE: number of licensing individuals
*TTOEVAL_1 = 1: if TTOs that said licenses/patents are "not very important"
*TTOEVAL_2 = 1: if TTOs that said licenses/patents are "moderately important"
*PROOF: % of licensed disclosures that were "proof of concept but no prototype"
*PTYPE: "Prototype available but only lab scale"
*MEDSCHL: 1 if med school exists
*QUAL: academic quality of faculty (1993 NRC's survey results of academic quality of Ph.D. granting departments)
*LICENSES: number of licenses executed
*SPONRES: amount of sponsored research
*SPONFREQ: frequency that sponsored research is tied to license (according to TTO)
*patent apps grow 1-to-1 with disclosures
*sponsored research grows with licenses executed
*more licenses executed at universities with large TTOs and med schools
*higher royalties with higher quality of faculty and higher fraction of licenses executed at later stages of development
*additional disclosures generate smaller % increases in licenses, which generate smaller % increases in royalties (TTOs generally effective at tapping pool of available technologies in their universities)

===Thursby, J., Fuller, Thursby, M.: US Faculty Patenting: Inside and Outside the University (2009)===

[http://www.nber.org/papers/w13256.pdf]

@article{thursby2009us,
title = "US Faculty Patenting: Inside and Outside the University",
author = "Jerry G. Thursby, Anne W. Fuller, and Marie C. Thursby",
journal={Research Policy},
volume={38},
number={1},
pages={14--25},
year={2009},
publisher={Elsevier},
abstract = {This paper examines the empirical anomaly that in a sample of 5811 patents on which US faculty are listed as inventors, 26% of the patents are assigned solely to firms rather than to the faculty member's university as is dictated by US university employment policies or the Bayh Dole Act. In this paper we estimate a series of probability models of assignment as a function of patent characteristics, university policy, and inventor fields in order to examine the extent to which outside assignment is nefarious or comes from legitimate activities, such as consulting. Patents assigned to firms (whether established or start-ups with inventor as principal) are less basic than those assigned to universities suggesting these patents result from faculty consulting. A higher inventor share increases the likelihood of university assignment as compared with assignment to a firm in which the inventor is a principal but it has no effect on consulting with established firms versus assignment to the university. Faculty in the physical sciences and engineering are more likely to assign their patents to established firms than those in biological sciences.},
filename={Thursby et al (2009) - US Faculty Patenting},
}

*only 62.4% of patents by university faculty members of 87 universities were assigned solely to universities
*identifying US university patents by institutional assignment misses significant percentage of faculty innovation in US universities
*higher inventor share increases likelihood of university assignment compared with assignment to a firm where inventor is principal
*possibilities: faculty in low share universities may be more willing to seek outside remuneration via assignment to start-up where they are principal; revenue shares may not affect startup activity but simply reduce number of inventions disclosed to university

Sources
*Faculty names from NRC
*Compared with inventor names in NBER Patent Database
*Excluded faculty who do not patent

Patent/Inventor Pairs
*MIT: 315
*Wisconsin: 232
*Stanford: 223
*UC San Diego: 216
*UC Berkeley: 207

Out of 5811 patents:
*1513 assigned solely to firms
*241 assigned to both firms and universities
*327 unassigned
*faculty are principals in assignee firms for 32.3% of patents assigned solely to firms and 24% of patents assigned to both (lower bound)

=== Valdivia: University Start-ups: Critical for Improving Technology Transfer (2013) ===

[https://www.brookings.edu/wp-content/uploads/2016/06/Valdivia_Tech-Transfer_v29_No-Embargo.pdf]

*Current emphasis on licensing patents, but most university TTOs do not generate enough to cover operating expenses
*Asymmetry in distribution of resources across the university system, only a few universities benefit from high licensing revenues
**top 8 universities took 50% of licensing income, top 16 universities took nearly 75% of income
**only 37 universities have been in the top 20 during the last decade (listed in University Patents > LicensingGrossIncome2003-2012.txt)
*Universities face much more pressure to demonstrate the economic impact of their R&D contracts
**97.6% of total public contracts obtained by universities are for basic/applied research
**2% of university research delivers ready-to-use technologies
**academic research is much more dependent on government funding than industry research is
*Government pressure for universities to be more responsive to market forces, more entrepreneurial, more attuned to needs of industry
*TTOs are costly to universities
*1979: 30 universities with TTO -> 1999: 174 universities (AUTM)
*2010: 206 US universities have very high or high research activity, all with TTOs (but not all report to AUTM) (Carnegie Classification of Higher Education)
*Over last 20 years, 87% of universities did not break even
*Clash between aims of university (non-profit) and TTO (essentially a business unit)
*By nurturing start-ups, TTOs can add most economic value to an invention disclosure
*2003: universities initiated 330 startups, 2012: 647 startups
*2012: 3715 operating university startups, almost double the number in 2000 (AUTM 2013)
*Startups mitigate financial risk by reducing reliance on blockbuster patents, increase diversification of portfolio
*Policy proposal: the government should increase funding for Small Business Technology Transfer Program (directed to university start-ups)
**H.R.2981: reapportions STTR funds at 0.05% in the next 2 years and 0.1% henceforth for university enterprises at proof of concept stage
*Should increase portion that agencies set aside for STTR
**STTR should have Phase III like SBIR to fund commercialization efforts
*Need equitable distribution across university system

=== The Bayh-Dole Act and High-Technology Entrepreneurship in U.S. Universities: Chicken, Egg, or Something Else? (2004) ===

[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.484.1612&rep=rep1&type=pdf]

==== Findings ====

* University research has an unusually significant impact on industrial innovation in the biomedical sector
* " This work also suggests that academic research rarely produces “prototypes” of inventions for development
and commercialization by industry—instead, academic research informs the methods and disciplines
employed by firms in their R&D facilities."
* The U.S. higher education system is much larger and more heterogenous than other developed countries - this encourages competition
* The passage of the Bayh-Dole Act was one part of a broader shift in U.S. policy toward stronger
intellectual property rights
* "Universities increased their share of patenting from less than 0.3% in 1963 to nearly 4% by 1999, but the rate of growth in this share begins to accelerate before rather than after 1980."
* "the Act's provisions expressed Congressional support for the negotiation of exclusive licenses between universities and industrial firms for the results of federally funded research"
* licensing revenues account for only a miniscule portion of universities' overall academic budgets
* the acceleration in growth of patenting and licensing began before the passage of the Bayh-Dole Act so this acceleration cannot be wholly attributed to the Act
* "the flow of knowledge and technology between university and industrial research is a two-way flow," despite previous characterization as wholly from academia to industry
* patents seem to be "especially important channels for technology transfer" in the biomedical sector

==== Data Sources ====
* 5 different case studies
1. Cotransformation: a process to transfer genes into mammalian cells (Columbia University).

2. Gallium Nitride: a semiconductor with both military and commercial applications (University of California).

3. Xalatan: a glaucoma treatment (Columbia University).

4. Ames II Tests: a bacteria assay for testing potential carcinogenic properties of pharmaceuticals and cosmetics (University of California).

5. Soluble CD4: a prototype for a drug to fight AIDS (Columbia University).

==== Critiques ====
* focuses on case studies as source of data

===Dornbusch, Schmoch, Schulze, Bethke: Identification of University-Based Patents: A New Large-Scale Approach (2012)===

[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.722.1368&rep=rep1&type=pdf]

Specific for German case, but certain points can help us

European convergence to US model (Bayh-Dole seen as main driver behind growing patent portfolios of US universities)

*University-owned patents (assigned to universities or their TTOs) and university-invented patents (assigned to university-affiliated authors)

Matching lists: traditional matching of lists of university staff/professors with inventor data
*time-consuming, costly, possibly not updated
*typically limited to tenured professors
*does not include Ph.D. students, assistants, lecturers

Matched authors of scientific publications and inventors on patents
*beware of homonyms

Patent data from EPO Worldwide Patent Statistical Database (PATSTAT)

Publication data from Elsevier (Scopus)

Country of origin: Inventor Country/Assignee Country/Applicant Country = Germany, Location of Organization to which author is affiliated =Germany
*Restrict dataset to authors from German organizations and inventors with residence in Germany

The organization

Names: To keep precision high, leave out names with initials only

Location: Postal/zip codes (PATSTAT provides address of inventor's residence, SCOPUS provides info for organization, 96.5% of first digit of inventor and organization postal codes are the same, 85.9% first two digits)

Time window: 2-year window between application and publication date

=== Singh A. and Wong P.K: University patenting activities and their link to the quantity and quality of scientific publications (2009) ===

[https://pdfs.semanticscholar.org/bb3a/df09ca693cdcff6c1f6aaf18113cabec2655.pdf]
==== Findings ====
* patenting by 281 leading world universities has consistently grown faster than general American patenting from 1977 - 2000
* North American university patenting growth has slowed relative to universities outside North America since the mid-1990s
* Between 2003-2005, they found that university patenting output has significant correlation with the both the quality and quantity of scientific publishing in North America
* In European and Australian universities, patenting correlated only with the quantity of scientific publishing, not with the quality
* In universities Europe, Australia, and North America, patenting correlated only with the quality of scientific publishing

==== Data Sources ====
* USPTO Patenting Data
* Shanghai Jiao Tong University's Academic Ranking of World Universities (ARWU)
* Times Higher Education Supplement's World University Ranking (WUR)
* Quantity was measured by counts of publications
* Quality was measured by citations to said publications
* the relationship between research and patenting was evaluated in two ways
** At the institutional level: patents assigned to universities
** At the individual level: patents with university researchers as the inventors

==== Critiques ====
* citations are not really a perfect measure of research quality and citations have little to do with practical use of the study (i.e. how much technological innovation is generated as a result of academic research publications)

==== Other Discoveries ====

* Study by Landry R., Amara N., and Saihi, M. (2006)
* (Owen Smith and Powell 2003) found that "organizations involved in technological commercialization tend to have higher publication rates than those who are not"
* (Lach and Schankerman 2003) found that "licensing revenues at the university level are positively influenced by publication citations per faculty"

University Patents

2017-04-21T18:46:11Z

Meghanapannala: /* Ranking Development Notes */

{{McNair Projects
|Has title=University Patents
|Has owner=Julia Wang, Meghana Pannala,
|Has keywords=Patent
|Has project status=Active
}}
==Project Overview==
Goal: list of all universities and # of patents associated with each university and patent licensing activity

patent reassignment to startups associated with these universities

clinical trials (from Catherine) data to rank universities R&D engagement

identify list of universities: board of regents, universities in patent data (find patterns associated with university assignees) -- @Julia: Where did we get this list? I'd love to be able filter by country - Meghana

AUTM?

==Timeline to Deliverable & Documentation==

Meghana: focus on grants

Julia: focus on patent counts

'''3/20-3/24'''

Learn SQL, clean data

'''3/27-3/31'''

Counts of data, name matching

Patent Counts
*Ran the matcher in the server, only matched ~40,000 entries
*Working with Jeemin to develop matcher

'''4/3-4/7'''

Counts of data, name matching

Patent Counts
*Jeemin is a savior, matched and counted 128,000 entries (Jeemin_matcher_matched.txt), manually went through the 6,000 unmatched (Jeemin_matcher_unmatched.txt)
*Ranking for all time is in Patent Counting ( >Total (All Time) )
*Need to talk with Meghana about grant data
*Need to find variables for regression, develop ranking for last decade and last year
*Also need to account for school size (faculty? students? research funding?)

'''4/10-4/14'''

Develop ranking

Patent Counts
*Finish all of above
*Start drafting
*Load data onto database

'''4/17-4/21'''

Editing and polishing report

==Ranking Development Notes==
Sources of University Funding R&D
Source: [https://www.aaas.org/page/rd-colleges-and-universities]
*Roughly 60% comes from the Federal Government
*Less than 10% comes from state and local governments
*Roughly 20% is from the University itself (endowment?? tuition? not 100% sure)
*Roughly 5% is from private industry
*Less than 10% Other

Federal Government Funding Breakdown
Source: [https://www.aaas.org/page/rd-colleges-and-universities]
*Roughly 60% of federal funding is from the NIH
*Roughly 15% is from the NSF
*Roughly 11% from Department of Defense
*Roughly 4% from NASA
*Roughly 4% from the Department of Energy
*Roughly 3% from the USDA
*Roughly 1% from the EPA (probably will go to zero with new admin)
*Roughly 1% from the Department of Education
*Marginal amounts from everywhere else (<1%)

==Key Words==

===Universities (Patent Assignees)===
BOARD OF REGENTS - pretty much exclusively describes universities

UNIVERSITY - also exclusively describes universities
*Can we do a close match with University? (its the only word on this list that's frequently misspelled)

SCHOOL - often used in combination with medicine or medical to describe medical schools
*also are used to describe actual schools (i.e. HISD) and other businesses
*sometimes present in addresses - can we cut off the adresses?
*also used in combination with Business (i.e. Harvard Business School)
*use school only in conjuction with medical, medicine, and business

COLLEGE
*need to cut off addresses for this to work
*need to ensure that we include the space after
*excl. College Boulevard, college blvd, etc.
*double check everything with College Park

INSTITUTE OF TECHNOLOGY - almost exclusively describes universities but sometimes describes external research institutes

POLYTECHNIC - exclusively university (i.e. RPI, Virginia Tech)

RESEARCH FOUNDATION: VAST majority are university
*Exclusions: it's really difficult to distinguish between university affiliated and not, besides just looking them up on the google
**Novartis
**Progeria
**Washington Research Foundation
**Blood Center of Wisconsins
**Mental Hygiene
**Celiac Sprue
**Fidia
**Samuel Waxman Cancer Center
***founded by a faculty member at Mt. Sinai Medical School,not affil w/a single university but researchers are also usually faculty at various universities
**lifenet
**HealthPartners
**Dr. Susan Love
**La Jolla Cancer Research Foundation
**Children's Hospital (? grants degrees but is a hospital system)
**Medforte
**International Mask
**Palo Alto Medical Foundation

====Exclusions====
*LLC
*LLP

===Technology Transfer Offices===

====Job Titles====
*Patent Portfolio Manager
*Intellectual Property Manager
*Licensing Associate/Licensing Liaison
*Biological Materials Specialist
*Industrial Contracts Officer
*Technology Licensing Officer
*Associate Officer
*Technology Licensing Associates
*Patent Coordinator/Patent Administrator
*IP Portfolio Specialist
*MTA Coordinator
*Sponsored Research Administrator
*Technology Transfer Specialist/Technology Transfer Associate
*Contracts Associate
*Portfolio Director
*Contracts Specialist
*Industry Contracts Analyst
*Patent Prosecution Analyst
*(Associate) Director of Intellectual Property
*(Associate) Director of Technology Transfer Policy
*(Associate) Director of Technology Transactions
*(Associate) Director of Agreement Administration
*Senior Associate - watch
*Patent Attorney/Patent Agent/Patent Counsel/Paralegal - watch

====TTO Names====
*Office of Technology Transfer/Technology Transfer Office
*Office of Technology Licensing/Technology Licensing Office
*Office of Technology Development
*Technology Ventures
*Innovation Services
*Intellectual Property & Industry Research Alliances
*InnovationAccess
*Invention Transfer Group
*Technology Development Group
*Office of Business Development
*Office of Technology Commercialization
*Office of Innovation and Commercialization
*Innovation, Technology & Alliances
*Technology & Industry Alliances
*Office for Management of Intellectual Property
*Innovation & Partnerships Office

===University-Affiliated Startups (Patent Assignees)===

==What to get from other people==

Avesh has clinical trial data on wiki and bulk drive (FDA Trials Data), need to build it into normal form, use clinical trials data to rank R&D engagement of universities, will be building up portfolios of different types of companies

Marcela is cleaning up patent data, has given patent assignee names -- got it! Could we filter by country and get strictly American names?

Catherine has zip codes of medical centers, use to look through patent data

==Questions==
*How innovative are universities compared to publicly-traded firms, etc.? (firms: 100 active patents at any given time)
*How do universities license?
*What does the average portfolio look like for universities? (compared to publicly traded, VC-backed, etc)
*What can explain the differences in rankings? (size, quality of universities, TTOs and quality/experience of workers - searched LinkedIns, geography, entrepreneurship programs, NIH/NSF grants)

==To Do==

*Create ranking
**Based on patent portfolio
**Licensing income
**Quality of TTO
**Publications (specifically based on research)?
**Amount received in grants/Amount of grants - we have numbers on amount of NIH grants and NSF grants
***NIH/NSF/STTR
**Control for school size/endowment
**Startups affiliated with university
***Value generated from these startups? (ask Avesh)
**Existence of entrepreneurship program
**Geography

*Describe average patent portfolio of university
**Number of patents
**Maybe categorize by research area?
*Describe how universities license
**USPTO earned revenue

Deliverable
*Ranking
*Explanation of what makes a good ranking/what factors a school needs to be more successful

Artifacts
*Grant Data
*Research Funding
*Star Scientists
*Regression with variables from Carnegie Classification (10-15 variables)
*Licensing (?)

===What We Have===

*Lit Review
*List of all post-secondary institutions (University Accreditation 3.2016_trim) - U.S. Department of Education
*Classification of universities (Carnegie Classification 2015) - Carnegie Classification
** includes all accredited degree-granting colleges and universities that are included in the National Center for Education Statistics Integrated Postsecondary Education Data System (IPEDS).
** Coverage: 4666 institutions of higher learning
** Variables: includes 94 variables
*** Enrollment data - subdivided into graduate and undergraduate
*** degrees conferred - divided into level and division
*** information on faculty (number, divided into levels i.e. assistant, assoc. and full time)
**** coverage for this variable is REALLY LOW
*** non-faculty research staff (includes post docs)
*** Science and Engineering Research and Development expenditures
*** Non-STEM research and Development expenditures
*Amount spent on R&D (Higher Ed R&D Rankings) - National Science Foundation
** includes just total R&D expenditures
*STTR full data 1995-2015 (STTRData) - Small Business Administration
*University Patent Numbers 1969-2012 - USPTO
*Patents that resulted from NIH grants
*Information about NSF grants

===What We Need===

*List of university-affiliated startups
**looks like AUTM STATT data has this because it was used in a study by Yael Hochberg [https://papers.ssrn.com/sol3/papers2.cfm?abstract_id=2418000]
**[https://www.forbes.com/sites/liyanchen/2015/07/29/americas-most-entrepreneurial-research-universities-2015/#3cb9829b3823| Rankings of Research Universities (2015)]
**FORBES ranked the country’s most entrepreneurial schools based on the numbers of alumni and students who have identified themselves as founders and business owners on LinkedIn (adjusted to total student body size). This year we rank both research universities and [https://www.forbes.com/sites/liyanchen/2015/07/29/americas-most-entrepreneurial-colleges-2015/#2b2909e04604| smaller colleges] separately.
*data about TTOs (# and quality of employees)
**LinkedIn crawler: working with Jeemin and Peter
*licensing data from AUTM [http://www.autm.net/statt] or already within the patent data?

==Name Matching==
*Jeemin has found all the correct and incorrect spellings of assignees with "University"
*Julia working on "Institute"
*We have a list of Universities that have patents from NIH grants, which could be a starting point for our ranking constituents

==Lit Reviews==

===Thursby, J. & Thursby, M.: Who Is Selling the Ivory Tower? Sources of Growth in University Licensing (2002)===

[http://pubsonline.informs.org/doi/pdf/10.1287/mnsc.48.1.90.14271]

@article{thursby2002who,
title={Who Is Selling the Ivory Tower? Sources of Growth in University Licensing},
author={Thursby, Jerry G. and Thursby, Marie C.},
journal={Management Science},
volume={48},
number={1},
pages={90--104},
year={2002},
publisher={INFORMS},
filename={Thursby Thursby (2002) - Who Is Selling the Ivory Tower}
}

*Reliance of industry on university inventions has increased
**AUTM surveys show 7.1% growth in yearly inventions disclosure from 1994-1998 for 64 universities that responded every year
*Primary reason for more disclosures may be increased propensity for faculty to disclose, rather than change in research focus
*Universities becoming more receptive to industry contracts
*Negative total TFP growth of licenses executed (-1.7% annual growth) - growth in disclosures and patent applications greater than the corresponding growth in licenses executed.
**Marginal university innovation offered to the market has declined in commercial appeal
**Universities are delving more deeply into the available pool of innovations to increase commercial activities
*No evidence on the importance of learning by doing on the part of TTOs except to note negative association between TTO growth and TFP growth in licensing
**Suggests at least the possibility of learning by doing effects

'''Other literature'''

*On the role of patents and publications in the transfer process: Adams 1990, Henderson et al. 1998, and Jaffe et al. 1993
*On consulting, sponsored research or institutional ties: Cohen et al. 1998; Mansfield 1995; Zucker et al. 1994, 1998
*On the nature of university licensing: Jensen and Thursby 2001, Mowery et al. 2001a,b, Mowery et al. 2001, Siegel et al. 1999, Thursby et al. 2001, Thursby and Kemp 2001

===Thursby, J., Jensen, Thursby, M.: Objectives, Characteristics and Outcomes of University Licensing: A Survey of Major U.S. Universities (2001)===

[https://pdfs.semanticscholar.org/637f/048c05ee83eb84a914f69e087f52acea1b6c.pdf]

@article{thursby2001objectives,
title={Objectives, Characteristics and Outcomes of University Licensing: A Survey of Major U.S. Universities},
author={Thursby, Jerry G., Jensen, Richard, and Thursby, Marie C.},
journal={The Journal of Technology Transfer},
volume={26},
number={1},
pages={59--72},
year={2001},
publisher={Springer},
abstract={This paper describes results of our survey of licensing at 62 research universities. We consider ownership, income splits, stage of development, marketing, license policies and characteristics, goals of licensing and the role of the inventor in licensing. Based on these results we analyze the relationship between licensing outcomes and both the objectives of the TTO and the characteristics of the technologies. Patent applications grow one-to-one with disclosures, while sponsored research grows similarly with licenses executed. Royalties are typically larger the higher the quality of the faculty and the higher the fraction of licenses that are executed at latter stages of development. Sponsored research is more likely to be included in a license if the new technology is at an early stage of development or if the TTO evaluates it as important. We find that additional disclosures generate smaller percentage increases in licenses, and those increases in licenses generate smaller percentage increases in royalties.},
filename={Thursby et al (2001) - Objectives, Characteristics and Outcomes of University Licensing}
}

*University licensing has increased dramatically post-Bayh-Dole (1980)
**According to AUTM 1996, licenses executed increased 75% from 1991-1996, (total: 13,087)
*Survey of TTOs of 62 major US universities
**Majority of universities retain titles to inventions
**All universities split income with inventors
**Royalties generate most of the revenue of licensing

*Open question: Is the increased propensity of faculty to disclose a response to financial incentives or an increase in the effectiveness of TTOs in inducing disclosure?

Survey
*62/135 universities responded
*63% public, and 62% of public universities that responded were land-grant
*37% private
*average industry sponsored research $16.9 mil, federally sponsored $149.6 mil (1996)
*average TTO: 26.3 licenses executed, 92.3 invention disclosures, 30.1 new patent apps, $4.2 mil income (1996)
*35% of respondents had reorganized TTO since 1990
*90% of universities allow faculty to establish and operate businesses based on technology owned by university but developed in faculty's research
*Inventions disclosed: 33% med schools, 29% engineering, 22% science, 6% agriculture, 10% other
*Majority of invention disclosures in nascent stage (proof of concept - 45% or prototype - 37%)
*Patents often applied for after knowing commercial viability, licensed technologies often not protected by patents
*60% of universities said small companies more likely to take early stage technologies and large companies more likely to take late stage - small firms may have advantage in "innovative" research (Holmstrom 1989)
*TTOs obtain smaller upfront fees the more uncertain the technology being licensed is
*Universities usually do not take equity in the license

Regression of licensing outcomes

[[File:LicensingOutcomeReg.png|500px]]

*Dependent variables: royalties, sponsored research, patents (new applications), licenses executed
*Independent variables: importance of outcome to TTO, types of inventions, measure of size of university's licensing operation/potential
*Logs of all variables except indicator variables
*Probit for frequency of sponsored research
*INVDIS: number of disclosures
*TTOSIZE: number of licensing individuals
*TTOEVAL_1 = 1: if TTOs that said licenses/patents are "not very important"
*TTOEVAL_2 = 1: if TTOs that said licenses/patents are "moderately important"
*PROOF: % of licensed disclosures that were "proof of concept but no prototype"
*PTYPE: "Prototype available but only lab scale"
*MEDSCHL: 1 if med school exists
*QUAL: academic quality of faculty (1993 NRC's survey results of academic quality of Ph.D. granting departments)
*LICENSES: number of licenses executed
*SPONRES: amount of sponsored research
*SPONFREQ: frequency that sponsored research is tied to license (according to TTO)
*patent apps grow 1-to-1 with disclosures
*sponsored research grows with licenses executed
*more licenses executed at universities with large TTOs and med schools
*higher royalties with higher quality of faculty and higher fraction of licenses executed at later stages of development
*additional disclosures generate smaller % increases in licenses, which generate smaller % increases in royalties (TTOs generally effective at tapping pool of available technologies in their universities)

===Thursby, J., Fuller, Thursby, M.: US Faculty Patenting: Inside and Outside the University (2009)===

[http://www.nber.org/papers/w13256.pdf]

@article{thursby2009us,
title = "US Faculty Patenting: Inside and Outside the University",
author = "Jerry G. Thursby, Anne W. Fuller, and Marie C. Thursby",
journal={Research Policy},
volume={38},
number={1},
pages={14--25},
year={2009},
publisher={Elsevier},
abstract = {This paper examines the empirical anomaly that in a sample of 5811 patents on which US faculty are listed as inventors, 26% of the patents are assigned solely to firms rather than to the faculty member's university as is dictated by US university employment policies or the Bayh Dole Act. In this paper we estimate a series of probability models of assignment as a function of patent characteristics, university policy, and inventor fields in order to examine the extent to which outside assignment is nefarious or comes from legitimate activities, such as consulting. Patents assigned to firms (whether established or start-ups with inventor as principal) are less basic than those assigned to universities suggesting these patents result from faculty consulting. A higher inventor share increases the likelihood of university assignment as compared with assignment to a firm in which the inventor is a principal but it has no effect on consulting with established firms versus assignment to the university. Faculty in the physical sciences and engineering are more likely to assign their patents to established firms than those in biological sciences.},
filename={Thursby et al (2009) - US Faculty Patenting},
}

*only 62.4% of patents by university faculty members of 87 universities were assigned solely to universities
*identifying US university patents by institutional assignment misses significant percentage of faculty innovation in US universities
*higher inventor share increases likelihood of university assignment compared with assignment to a firm where inventor is principal
*possibilities: faculty in low share universities may be more willing to seek outside remuneration via assignment to start-up where they are principal; revenue shares may not affect startup activity but simply reduce number of inventions disclosed to university

Sources
*Faculty names from NRC
*Compared with inventor names in NBER Patent Database
*Excluded faculty who do not patent

Patent/Inventor Pairs
*MIT: 315
*Wisconsin: 232
*Stanford: 223
*UC San Diego: 216
*UC Berkeley: 207

Out of 5811 patents:
*1513 assigned solely to firms
*241 assigned to both firms and universities
*327 unassigned
*faculty are principals in assignee firms for 32.3% of patents assigned solely to firms and 24% of patents assigned to both (lower bound)

=== Valdivia: University Start-ups: Critical for Improving Technology Transfer (2013) ===

[https://www.brookings.edu/wp-content/uploads/2016/06/Valdivia_Tech-Transfer_v29_No-Embargo.pdf]

*Current emphasis on licensing patents, but most university TTOs do not generate enough to cover operating expenses
*Asymmetry in distribution of resources across the university system, only a few universities benefit from high licensing revenues
**top 8 universities took 50% of licensing income, top 16 universities took nearly 75% of income
**only 37 universities have been in the top 20 during the last decade (listed in University Patents > LicensingGrossIncome2003-2012.txt)
*Universities face much more pressure to demonstrate the economic impact of their R&D contracts
**97.6% of total public contracts obtained by universities are for basic/applied research
**2% of university research delivers ready-to-use technologies
**academic research is much more dependent on government funding than industry research is
*Government pressure for universities to be more responsive to market forces, more entrepreneurial, more attuned to needs of industry
*TTOs are costly to universities
*1979: 30 universities with TTO -> 1999: 174 universities (AUTM)
*2010: 206 US universities have very high or high research activity, all with TTOs (but not all report to AUTM) (Carnegie Classification of Higher Education)
*Over last 20 years, 87% of universities did not break even
*Clash between aims of university (non-profit) and TTO (essentially a business unit)
*By nurturing start-ups, TTOs can add most economic value to an invention disclosure
*2003: universities initiated 330 startups, 2012: 647 startups
*2012: 3715 operating university startups, almost double the number in 2000 (AUTM 2013)
*Startups mitigate financial risk by reducing reliance on blockbuster patents, increase diversification of portfolio
*Policy proposal: the government should increase funding for Small Business Technology Transfer Program (directed to university start-ups)
**H.R.2981: reapportions STTR funds at 0.05% in the next 2 years and 0.1% henceforth for university enterprises at proof of concept stage
*Should increase portion that agencies set aside for STTR
**STTR should have Phase III like SBIR to fund commercialization efforts
*Need equitable distribution across university system

=== The Bayh-Dole Act and High-Technology Entrepreneurship in U.S. Universities: Chicken, Egg, or Something Else? (2004) ===

[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.484.1612&rep=rep1&type=pdf]

==== Findings ====

* University research has an unusually significant impact on industrial innovation in the biomedical sector
* " This work also suggests that academic research rarely produces “prototypes” of inventions for development
and commercialization by industry—instead, academic research informs the methods and disciplines
employed by firms in their R&D facilities."
* The U.S. higher education system is much larger and more heterogenous than other developed countries - this encourages competition
* The passage of the Bayh-Dole Act was one part of a broader shift in U.S. policy toward stronger
intellectual property rights
* "Universities increased their share of patenting from less than 0.3% in 1963 to nearly 4% by 1999, but the rate of growth in this share begins to accelerate before rather than after 1980."
* "the Act's provisions expressed Congressional support for the negotiation of exclusive licenses between universities and industrial firms for the results of federally funded research"
* licensing revenues account for only a miniscule portion of universities' overall academic budgets
* the acceleration in growth of patenting and licensing began before the passage of the Bayh-Dole Act so this acceleration cannot be wholly attributed to the Act
* "the flow of knowledge and technology between university and industrial research is a two-way flow," despite previous characterization as wholly from academia to industry
* patents seem to be "especially important channels for technology transfer" in the biomedical sector

==== Data Sources ====
* 5 different case studies
1. Cotransformation: a process to transfer genes into mammalian cells (Columbia University).

2. Gallium Nitride: a semiconductor with both military and commercial applications (University of California).

3. Xalatan: a glaucoma treatment (Columbia University).

4. Ames II Tests: a bacteria assay for testing potential carcinogenic properties of pharmaceuticals and cosmetics (University of California).

5. Soluble CD4: a prototype for a drug to fight AIDS (Columbia University).

==== Critiques ====
* focuses on case studies as source of data

===Dornbusch, Schmoch, Schulze, Bethke: Identification of University-Based Patents: A New Large-Scale Approach (2012)===

[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.722.1368&rep=rep1&type=pdf]

Specific for German case, but certain points can help us

European convergence to US model (Bayh-Dole seen as main driver behind growing patent portfolios of US universities)

*University-owned patents (assigned to universities or their TTOs) and university-invented patents (assigned to university-affiliated authors)

Matching lists: traditional matching of lists of university staff/professors with inventor data
*time-consuming, costly, possibly not updated
*typically limited to tenured professors
*does not include Ph.D. students, assistants, lecturers

Matched authors of scientific publications and inventors on patents
*beware of homonyms

Patent data from EPO Worldwide Patent Statistical Database (PATSTAT)

Publication data from Elsevier (Scopus)

Country of origin: Inventor Country/Assignee Country/Applicant Country = Germany, Location of Organization to which author is affiliated =Germany
*Restrict dataset to authors from German organizations and inventors with residence in Germany

The organization

Names: To keep precision high, leave out names with initials only

Location: Postal/zip codes (PATSTAT provides address of inventor's residence, SCOPUS provides info for organization, 96.5% of first digit of inventor and organization postal codes are the same, 85.9% first two digits)

Time window: 2-year window between application and publication date

=== Singh A. and Wong P.K: University patenting activities and their link to the quantity and quality of scientific publications (2009) ===

[https://pdfs.semanticscholar.org/bb3a/df09ca693cdcff6c1f6aaf18113cabec2655.pdf]
==== Findings ====
* patenting by 281 leading world universities has consistently grown faster than general American patenting from 1977 - 2000
* North American university patenting growth has slowed relative to universities outside North America since the mid-1990s
* Between 2003-2005, they found that university patenting output has significant correlation with the both the quality and quantity of scientific publishing in North America
* In European and Australian universities, patenting correlated only with the quantity of scientific publishing, not with the quality
* In universities Europe, Australia, and North America, patenting correlated only with the quality of scientific publishing

==== Data Sources ====
* USPTO Patenting Data
* Shanghai Jiao Tong University's Academic Ranking of World Universities (ARWU)
* Times Higher Education Supplement's World University Ranking (WUR)
* Quantity was measured by counts of publications
* Quality was measured by citations to said publications
* the relationship between research and patenting was evaluated in two ways
** At the institutional level: patents assigned to universities
** At the individual level: patents with university researchers as the inventors

==== Critiques ====
* citations are not really a perfect measure of research quality and citations have little to do with practical use of the study (i.e. how much technological innovation is generated as a result of academic research publications)

==== Other Discoveries ====

* Study by Landry R., Amara N., and Saihi, M. (2006)
* (Owen Smith and Powell 2003) found that "organizations involved in technological commercialization tend to have higher publication rates than those who are not"
* (Lach and Schankerman 2003) found that "licensing revenues at the university level are positively influenced by publication citations per faculty"

University Patents

2017-04-21T18:45:33Z

Meghanapannala: /* Ranking Development Notes */

{{McNair Projects
|Has title=University Patents
|Has owner=Julia Wang, Meghana Pannala,
|Has keywords=Patent
|Has project status=Active
}}
==Project Overview==
Goal: list of all universities and # of patents associated with each university and patent licensing activity

patent reassignment to startups associated with these universities

clinical trials (from Catherine) data to rank universities R&D engagement

identify list of universities: board of regents, universities in patent data (find patterns associated with university assignees) -- @Julia: Where did we get this list? I'd love to be able filter by country - Meghana

AUTM?

==Timeline to Deliverable & Documentation==

Meghana: focus on grants

Julia: focus on patent counts

'''3/20-3/24'''

Learn SQL, clean data

'''3/27-3/31'''

Counts of data, name matching

Patent Counts
*Ran the matcher in the server, only matched ~40,000 entries
*Working with Jeemin to develop matcher

'''4/3-4/7'''

Counts of data, name matching

Patent Counts
*Jeemin is a savior, matched and counted 128,000 entries (Jeemin_matcher_matched.txt), manually went through the 6,000 unmatched (Jeemin_matcher_unmatched.txt)
*Ranking for all time is in Patent Counting ( >Total (All Time) )
*Need to talk with Meghana about grant data
*Need to find variables for regression, develop ranking for last decade and last year
*Also need to account for school size (faculty? students? research funding?)

'''4/10-4/14'''

Develop ranking

Patent Counts
*Finish all of above
*Start drafting
*Load data onto database

'''4/17-4/21'''

Editing and polishing report

==Ranking Development Notes==
Sources of Funding
Source: [https://www.aaas.org/page/rd-colleges-and-universities]
*Roughly 60% comes from the Federal Government
*Less than 10% comes from state and local governments
*Roughly 20% is from the University itself (endowment?? tuition? not 100% sure)
*Roughly 5% is from private industry
*Less than 10% Other

Federal Government Funding Breakdown
Source: [https://www.aaas.org/page/rd-colleges-and-universities]
*Roughly 60% of federal funding is from the NIH
*Roughly 15% is from the NSF
*Roughly 11% from Department of Defense
*Roughly 4% from NASA
*Roughly 4% from the Department of Energy
*Roughly 3% from the USDA
*Roughly 1% from the EPA (probably will go to zero with new admin)
*Roughly 1% from the Department of Education
*Marginal amounts from everywhere else (<1%)

==Key Words==

===Universities (Patent Assignees)===
BOARD OF REGENTS - pretty much exclusively describes universities

UNIVERSITY - also exclusively describes universities
*Can we do a close match with University? (its the only word on this list that's frequently misspelled)

SCHOOL - often used in combination with medicine or medical to describe medical schools
*also are used to describe actual schools (i.e. HISD) and other businesses
*sometimes present in addresses - can we cut off the adresses?
*also used in combination with Business (i.e. Harvard Business School)
*use school only in conjuction with medical, medicine, and business

COLLEGE
*need to cut off addresses for this to work
*need to ensure that we include the space after
*excl. College Boulevard, college blvd, etc.
*double check everything with College Park

INSTITUTE OF TECHNOLOGY - almost exclusively describes universities but sometimes describes external research institutes

POLYTECHNIC - exclusively university (i.e. RPI, Virginia Tech)

RESEARCH FOUNDATION: VAST majority are university
*Exclusions: it's really difficult to distinguish between university affiliated and not, besides just looking them up on the google
**Novartis
**Progeria
**Washington Research Foundation
**Blood Center of Wisconsins
**Mental Hygiene
**Celiac Sprue
**Fidia
**Samuel Waxman Cancer Center
***founded by a faculty member at Mt. Sinai Medical School,not affil w/a single university but researchers are also usually faculty at various universities
**lifenet
**HealthPartners
**Dr. Susan Love
**La Jolla Cancer Research Foundation
**Children's Hospital (? grants degrees but is a hospital system)
**Medforte
**International Mask
**Palo Alto Medical Foundation

====Exclusions====
*LLC
*LLP

===Technology Transfer Offices===

====Job Titles====
*Patent Portfolio Manager
*Intellectual Property Manager
*Licensing Associate/Licensing Liaison
*Biological Materials Specialist
*Industrial Contracts Officer
*Technology Licensing Officer
*Associate Officer
*Technology Licensing Associates
*Patent Coordinator/Patent Administrator
*IP Portfolio Specialist
*MTA Coordinator
*Sponsored Research Administrator
*Technology Transfer Specialist/Technology Transfer Associate
*Contracts Associate
*Portfolio Director
*Contracts Specialist
*Industry Contracts Analyst
*Patent Prosecution Analyst
*(Associate) Director of Intellectual Property
*(Associate) Director of Technology Transfer Policy
*(Associate) Director of Technology Transactions
*(Associate) Director of Agreement Administration
*Senior Associate - watch
*Patent Attorney/Patent Agent/Patent Counsel/Paralegal - watch

====TTO Names====
*Office of Technology Transfer/Technology Transfer Office
*Office of Technology Licensing/Technology Licensing Office
*Office of Technology Development
*Technology Ventures
*Innovation Services
*Intellectual Property & Industry Research Alliances
*InnovationAccess
*Invention Transfer Group
*Technology Development Group
*Office of Business Development
*Office of Technology Commercialization
*Office of Innovation and Commercialization
*Innovation, Technology & Alliances
*Technology & Industry Alliances
*Office for Management of Intellectual Property
*Innovation & Partnerships Office

===University-Affiliated Startups (Patent Assignees)===

==What to get from other people==

Avesh has clinical trial data on wiki and bulk drive (FDA Trials Data), need to build it into normal form, use clinical trials data to rank R&D engagement of universities, will be building up portfolios of different types of companies

Marcela is cleaning up patent data, has given patent assignee names -- got it! Could we filter by country and get strictly American names?

Catherine has zip codes of medical centers, use to look through patent data

==Questions==
*How innovative are universities compared to publicly-traded firms, etc.? (firms: 100 active patents at any given time)
*How do universities license?
*What does the average portfolio look like for universities? (compared to publicly traded, VC-backed, etc)
*What can explain the differences in rankings? (size, quality of universities, TTOs and quality/experience of workers - searched LinkedIns, geography, entrepreneurship programs, NIH/NSF grants)

==To Do==

*Create ranking
**Based on patent portfolio
**Licensing income
**Quality of TTO
**Publications (specifically based on research)?
**Amount received in grants/Amount of grants - we have numbers on amount of NIH grants and NSF grants
***NIH/NSF/STTR
**Control for school size/endowment
**Startups affiliated with university
***Value generated from these startups? (ask Avesh)
**Existence of entrepreneurship program
**Geography

*Describe average patent portfolio of university
**Number of patents
**Maybe categorize by research area?
*Describe how universities license
**USPTO earned revenue

Deliverable
*Ranking
*Explanation of what makes a good ranking/what factors a school needs to be more successful

Artifacts
*Grant Data
*Research Funding
*Star Scientists
*Regression with variables from Carnegie Classification (10-15 variables)
*Licensing (?)

===What We Have===

*Lit Review
*List of all post-secondary institutions (University Accreditation 3.2016_trim) - U.S. Department of Education
*Classification of universities (Carnegie Classification 2015) - Carnegie Classification
** includes all accredited degree-granting colleges and universities that are included in the National Center for Education Statistics Integrated Postsecondary Education Data System (IPEDS).
** Coverage: 4666 institutions of higher learning
** Variables: includes 94 variables
*** Enrollment data - subdivided into graduate and undergraduate
*** degrees conferred - divided into level and division
*** information on faculty (number, divided into levels i.e. assistant, assoc. and full time)
**** coverage for this variable is REALLY LOW
*** non-faculty research staff (includes post docs)
*** Science and Engineering Research and Development expenditures
*** Non-STEM research and Development expenditures
*Amount spent on R&D (Higher Ed R&D Rankings) - National Science Foundation
** includes just total R&D expenditures
*STTR full data 1995-2015 (STTRData) - Small Business Administration
*University Patent Numbers 1969-2012 - USPTO
*Patents that resulted from NIH grants
*Information about NSF grants

===What We Need===

*List of university-affiliated startups
**looks like AUTM STATT data has this because it was used in a study by Yael Hochberg [https://papers.ssrn.com/sol3/papers2.cfm?abstract_id=2418000]
**[https://www.forbes.com/sites/liyanchen/2015/07/29/americas-most-entrepreneurial-research-universities-2015/#3cb9829b3823| Rankings of Research Universities (2015)]
**FORBES ranked the country’s most entrepreneurial schools based on the numbers of alumni and students who have identified themselves as founders and business owners on LinkedIn (adjusted to total student body size). This year we rank both research universities and [https://www.forbes.com/sites/liyanchen/2015/07/29/americas-most-entrepreneurial-colleges-2015/#2b2909e04604| smaller colleges] separately.
*data about TTOs (# and quality of employees)
**LinkedIn crawler: working with Jeemin and Peter
*licensing data from AUTM [http://www.autm.net/statt] or already within the patent data?

==Name Matching==
*Jeemin has found all the correct and incorrect spellings of assignees with "University"
*Julia working on "Institute"
*We have a list of Universities that have patents from NIH grants, which could be a starting point for our ranking constituents

==Lit Reviews==

===Thursby, J. & Thursby, M.: Who Is Selling the Ivory Tower? Sources of Growth in University Licensing (2002)===

[http://pubsonline.informs.org/doi/pdf/10.1287/mnsc.48.1.90.14271]

@article{thursby2002who,
title={Who Is Selling the Ivory Tower? Sources of Growth in University Licensing},
author={Thursby, Jerry G. and Thursby, Marie C.},
journal={Management Science},
volume={48},
number={1},
pages={90--104},
year={2002},
publisher={INFORMS},
filename={Thursby Thursby (2002) - Who Is Selling the Ivory Tower}
}

*Reliance of industry on university inventions has increased
**AUTM surveys show 7.1% growth in yearly inventions disclosure from 1994-1998 for 64 universities that responded every year
*Primary reason for more disclosures may be increased propensity for faculty to disclose, rather than change in research focus
*Universities becoming more receptive to industry contracts
*Negative total TFP growth of licenses executed (-1.7% annual growth) - growth in disclosures and patent applications greater than the corresponding growth in licenses executed.
**Marginal university innovation offered to the market has declined in commercial appeal
**Universities are delving more deeply into the available pool of innovations to increase commercial activities
*No evidence on the importance of learning by doing on the part of TTOs except to note negative association between TTO growth and TFP growth in licensing
**Suggests at least the possibility of learning by doing effects

'''Other literature'''

*On the role of patents and publications in the transfer process: Adams 1990, Henderson et al. 1998, and Jaffe et al. 1993
*On consulting, sponsored research or institutional ties: Cohen et al. 1998; Mansfield 1995; Zucker et al. 1994, 1998
*On the nature of university licensing: Jensen and Thursby 2001, Mowery et al. 2001a,b, Mowery et al. 2001, Siegel et al. 1999, Thursby et al. 2001, Thursby and Kemp 2001

===Thursby, J., Jensen, Thursby, M.: Objectives, Characteristics and Outcomes of University Licensing: A Survey of Major U.S. Universities (2001)===

[https://pdfs.semanticscholar.org/637f/048c05ee83eb84a914f69e087f52acea1b6c.pdf]

@article{thursby2001objectives,
title={Objectives, Characteristics and Outcomes of University Licensing: A Survey of Major U.S. Universities},
author={Thursby, Jerry G., Jensen, Richard, and Thursby, Marie C.},
journal={The Journal of Technology Transfer},
volume={26},
number={1},
pages={59--72},
year={2001},
publisher={Springer},
abstract={This paper describes results of our survey of licensing at 62 research universities. We consider ownership, income splits, stage of development, marketing, license policies and characteristics, goals of licensing and the role of the inventor in licensing. Based on these results we analyze the relationship between licensing outcomes and both the objectives of the TTO and the characteristics of the technologies. Patent applications grow one-to-one with disclosures, while sponsored research grows similarly with licenses executed. Royalties are typically larger the higher the quality of the faculty and the higher the fraction of licenses that are executed at latter stages of development. Sponsored research is more likely to be included in a license if the new technology is at an early stage of development or if the TTO evaluates it as important. We find that additional disclosures generate smaller percentage increases in licenses, and those increases in licenses generate smaller percentage increases in royalties.},
filename={Thursby et al (2001) - Objectives, Characteristics and Outcomes of University Licensing}
}

*University licensing has increased dramatically post-Bayh-Dole (1980)
**According to AUTM 1996, licenses executed increased 75% from 1991-1996, (total: 13,087)
*Survey of TTOs of 62 major US universities
**Majority of universities retain titles to inventions
**All universities split income with inventors
**Royalties generate most of the revenue of licensing

*Open question: Is the increased propensity of faculty to disclose a response to financial incentives or an increase in the effectiveness of TTOs in inducing disclosure?

Survey
*62/135 universities responded
*63% public, and 62% of public universities that responded were land-grant
*37% private
*average industry sponsored research $16.9 mil, federally sponsored $149.6 mil (1996)
*average TTO: 26.3 licenses executed, 92.3 invention disclosures, 30.1 new patent apps, $4.2 mil income (1996)
*35% of respondents had reorganized TTO since 1990
*90% of universities allow faculty to establish and operate businesses based on technology owned by university but developed in faculty's research
*Inventions disclosed: 33% med schools, 29% engineering, 22% science, 6% agriculture, 10% other
*Majority of invention disclosures in nascent stage (proof of concept - 45% or prototype - 37%)
*Patents often applied for after knowing commercial viability, licensed technologies often not protected by patents
*60% of universities said small companies more likely to take early stage technologies and large companies more likely to take late stage - small firms may have advantage in "innovative" research (Holmstrom 1989)
*TTOs obtain smaller upfront fees the more uncertain the technology being licensed is
*Universities usually do not take equity in the license

Regression of licensing outcomes

[[File:LicensingOutcomeReg.png|500px]]

*Dependent variables: royalties, sponsored research, patents (new applications), licenses executed
*Independent variables: importance of outcome to TTO, types of inventions, measure of size of university's licensing operation/potential
*Logs of all variables except indicator variables
*Probit for frequency of sponsored research
*INVDIS: number of disclosures
*TTOSIZE: number of licensing individuals
*TTOEVAL_1 = 1: if TTOs that said licenses/patents are "not very important"
*TTOEVAL_2 = 1: if TTOs that said licenses/patents are "moderately important"
*PROOF: % of licensed disclosures that were "proof of concept but no prototype"
*PTYPE: "Prototype available but only lab scale"
*MEDSCHL: 1 if med school exists
*QUAL: academic quality of faculty (1993 NRC's survey results of academic quality of Ph.D. granting departments)
*LICENSES: number of licenses executed
*SPONRES: amount of sponsored research
*SPONFREQ: frequency that sponsored research is tied to license (according to TTO)
*patent apps grow 1-to-1 with disclosures
*sponsored research grows with licenses executed
*more licenses executed at universities with large TTOs and med schools
*higher royalties with higher quality of faculty and higher fraction of licenses executed at later stages of development
*additional disclosures generate smaller % increases in licenses, which generate smaller % increases in royalties (TTOs generally effective at tapping pool of available technologies in their universities)

===Thursby, J., Fuller, Thursby, M.: US Faculty Patenting: Inside and Outside the University (2009)===

[http://www.nber.org/papers/w13256.pdf]

@article{thursby2009us,
title = "US Faculty Patenting: Inside and Outside the University",
author = "Jerry G. Thursby, Anne W. Fuller, and Marie C. Thursby",
journal={Research Policy},
volume={38},
number={1},
pages={14--25},
year={2009},
publisher={Elsevier},
abstract = {This paper examines the empirical anomaly that in a sample of 5811 patents on which US faculty are listed as inventors, 26% of the patents are assigned solely to firms rather than to the faculty member's university as is dictated by US university employment policies or the Bayh Dole Act. In this paper we estimate a series of probability models of assignment as a function of patent characteristics, university policy, and inventor fields in order to examine the extent to which outside assignment is nefarious or comes from legitimate activities, such as consulting. Patents assigned to firms (whether established or start-ups with inventor as principal) are less basic than those assigned to universities suggesting these patents result from faculty consulting. A higher inventor share increases the likelihood of university assignment as compared with assignment to a firm in which the inventor is a principal but it has no effect on consulting with established firms versus assignment to the university. Faculty in the physical sciences and engineering are more likely to assign their patents to established firms than those in biological sciences.},
filename={Thursby et al (2009) - US Faculty Patenting},
}

*only 62.4% of patents by university faculty members of 87 universities were assigned solely to universities
*identifying US university patents by institutional assignment misses significant percentage of faculty innovation in US universities
*higher inventor share increases likelihood of university assignment compared with assignment to a firm where inventor is principal
*possibilities: faculty in low share universities may be more willing to seek outside remuneration via assignment to start-up where they are principal; revenue shares may not affect startup activity but simply reduce number of inventions disclosed to university

Sources
*Faculty names from NRC
*Compared with inventor names in NBER Patent Database
*Excluded faculty who do not patent

Patent/Inventor Pairs
*MIT: 315
*Wisconsin: 232
*Stanford: 223
*UC San Diego: 216
*UC Berkeley: 207

Out of 5811 patents:
*1513 assigned solely to firms
*241 assigned to both firms and universities
*327 unassigned
*faculty are principals in assignee firms for 32.3% of patents assigned solely to firms and 24% of patents assigned to both (lower bound)

=== Valdivia: University Start-ups: Critical for Improving Technology Transfer (2013) ===

[https://www.brookings.edu/wp-content/uploads/2016/06/Valdivia_Tech-Transfer_v29_No-Embargo.pdf]

*Current emphasis on licensing patents, but most university TTOs do not generate enough to cover operating expenses
*Asymmetry in distribution of resources across the university system, only a few universities benefit from high licensing revenues
**top 8 universities took 50% of licensing income, top 16 universities took nearly 75% of income
**only 37 universities have been in the top 20 during the last decade (listed in University Patents > LicensingGrossIncome2003-2012.txt)
*Universities face much more pressure to demonstrate the economic impact of their R&D contracts
**97.6% of total public contracts obtained by universities are for basic/applied research
**2% of university research delivers ready-to-use technologies
**academic research is much more dependent on government funding than industry research is
*Government pressure for universities to be more responsive to market forces, more entrepreneurial, more attuned to needs of industry
*TTOs are costly to universities
*1979: 30 universities with TTO -> 1999: 174 universities (AUTM)
*2010: 206 US universities have very high or high research activity, all with TTOs (but not all report to AUTM) (Carnegie Classification of Higher Education)
*Over last 20 years, 87% of universities did not break even
*Clash between aims of university (non-profit) and TTO (essentially a business unit)
*By nurturing start-ups, TTOs can add most economic value to an invention disclosure
*2003: universities initiated 330 startups, 2012: 647 startups
*2012: 3715 operating university startups, almost double the number in 2000 (AUTM 2013)
*Startups mitigate financial risk by reducing reliance on blockbuster patents, increase diversification of portfolio
*Policy proposal: the government should increase funding for Small Business Technology Transfer Program (directed to university start-ups)
**H.R.2981: reapportions STTR funds at 0.05% in the next 2 years and 0.1% henceforth for university enterprises at proof of concept stage
*Should increase portion that agencies set aside for STTR
**STTR should have Phase III like SBIR to fund commercialization efforts
*Need equitable distribution across university system

=== The Bayh-Dole Act and High-Technology Entrepreneurship in U.S. Universities: Chicken, Egg, or Something Else? (2004) ===

[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.484.1612&rep=rep1&type=pdf]

==== Findings ====

* University research has an unusually significant impact on industrial innovation in the biomedical sector
* " This work also suggests that academic research rarely produces “prototypes” of inventions for development
and commercialization by industry—instead, academic research informs the methods and disciplines
employed by firms in their R&D facilities."
* The U.S. higher education system is much larger and more heterogenous than other developed countries - this encourages competition
* The passage of the Bayh-Dole Act was one part of a broader shift in U.S. policy toward stronger
intellectual property rights
* "Universities increased their share of patenting from less than 0.3% in 1963 to nearly 4% by 1999, but the rate of growth in this share begins to accelerate before rather than after 1980."
* "the Act's provisions expressed Congressional support for the negotiation of exclusive licenses between universities and industrial firms for the results of federally funded research"
* licensing revenues account for only a miniscule portion of universities' overall academic budgets
* the acceleration in growth of patenting and licensing began before the passage of the Bayh-Dole Act so this acceleration cannot be wholly attributed to the Act
* "the flow of knowledge and technology between university and industrial research is a two-way flow," despite previous characterization as wholly from academia to industry
* patents seem to be "especially important channels for technology transfer" in the biomedical sector

==== Data Sources ====
* 5 different case studies
1. Cotransformation: a process to transfer genes into mammalian cells (Columbia University).

2. Gallium Nitride: a semiconductor with both military and commercial applications (University of California).

3. Xalatan: a glaucoma treatment (Columbia University).

4. Ames II Tests: a bacteria assay for testing potential carcinogenic properties of pharmaceuticals and cosmetics (University of California).

5. Soluble CD4: a prototype for a drug to fight AIDS (Columbia University).

==== Critiques ====
* focuses on case studies as source of data

===Dornbusch, Schmoch, Schulze, Bethke: Identification of University-Based Patents: A New Large-Scale Approach (2012)===

[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.722.1368&rep=rep1&type=pdf]

Specific for German case, but certain points can help us

European convergence to US model (Bayh-Dole seen as main driver behind growing patent portfolios of US universities)

*University-owned patents (assigned to universities or their TTOs) and university-invented patents (assigned to university-affiliated authors)

Matching lists: traditional matching of lists of university staff/professors with inventor data
*time-consuming, costly, possibly not updated
*typically limited to tenured professors
*does not include Ph.D. students, assistants, lecturers

Matched authors of scientific publications and inventors on patents
*beware of homonyms

Patent data from EPO Worldwide Patent Statistical Database (PATSTAT)

Publication data from Elsevier (Scopus)

Country of origin: Inventor Country/Assignee Country/Applicant Country = Germany, Location of Organization to which author is affiliated =Germany
*Restrict dataset to authors from German organizations and inventors with residence in Germany

The organization

Names: To keep precision high, leave out names with initials only

Location: Postal/zip codes (PATSTAT provides address of inventor's residence, SCOPUS provides info for organization, 96.5% of first digit of inventor and organization postal codes are the same, 85.9% first two digits)

Time window: 2-year window between application and publication date

=== Singh A. and Wong P.K: University patenting activities and their link to the quantity and quality of scientific publications (2009) ===

[https://pdfs.semanticscholar.org/bb3a/df09ca693cdcff6c1f6aaf18113cabec2655.pdf]
==== Findings ====
* patenting by 281 leading world universities has consistently grown faster than general American patenting from 1977 - 2000
* North American university patenting growth has slowed relative to universities outside North America since the mid-1990s
* Between 2003-2005, they found that university patenting output has significant correlation with the both the quality and quantity of scientific publishing in North America
* In European and Australian universities, patenting correlated only with the quantity of scientific publishing, not with the quality
* In universities Europe, Australia, and North America, patenting correlated only with the quality of scientific publishing

==== Data Sources ====
* USPTO Patenting Data
* Shanghai Jiao Tong University's Academic Ranking of World Universities (ARWU)
* Times Higher Education Supplement's World University Ranking (WUR)
* Quantity was measured by counts of publications
* Quality was measured by citations to said publications
* the relationship between research and patenting was evaluated in two ways
** At the institutional level: patents assigned to universities
** At the individual level: patents with university researchers as the inventors

==== Critiques ====
* citations are not really a perfect measure of research quality and citations have little to do with practical use of the study (i.e. how much technological innovation is generated as a result of academic research publications)

==== Other Discoveries ====

* Study by Landry R., Amara N., and Saihi, M. (2006)
* (Owen Smith and Powell 2003) found that "organizations involved in technological commercialization tend to have higher publication rates than those who are not"
* (Lach and Schankerman 2003) found that "licensing revenues at the university level are positively influenced by publication citations per faculty"

University Patents

2017-04-21T18:29:59Z

Meghanapannala: /* Ranking Development Notes */

{{McNair Projects
|Has title=University Patents
|Has owner=Julia Wang, Meghana Pannala,
|Has keywords=Patent
|Has project status=Active
}}
==Project Overview==
Goal: list of all universities and # of patents associated with each university and patent licensing activity

patent reassignment to startups associated with these universities

clinical trials (from Catherine) data to rank universities R&D engagement

identify list of universities: board of regents, universities in patent data (find patterns associated with university assignees) -- @Julia: Where did we get this list? I'd love to be able filter by country - Meghana

AUTM?

==Timeline to Deliverable & Documentation==

Meghana: focus on grants

Julia: focus on patent counts

'''3/20-3/24'''

Learn SQL, clean data

'''3/27-3/31'''

Counts of data, name matching

Patent Counts
*Ran the matcher in the server, only matched ~40,000 entries
*Working with Jeemin to develop matcher

'''4/3-4/7'''

Counts of data, name matching

Patent Counts
*Jeemin is a savior, matched and counted 128,000 entries (Jeemin_matcher_matched.txt), manually went through the 6,000 unmatched (Jeemin_matcher_unmatched.txt)
*Ranking for all time is in Patent Counting ( >Total (All Time) )
*Need to talk with Meghana about grant data
*Need to find variables for regression, develop ranking for last decade and last year
*Also need to account for school size (faculty? students? research funding?)

'''4/10-4/14'''

Develop ranking

Patent Counts
*Finish all of above
*Start drafting
*Load data onto database

'''4/17-4/21'''

Editing and polishing report

==Ranking Development Notes==
Sources of Funding
Source: [https://www.aaas.org/page/rd-colleges-and-universities]
*Roughly 60% comes from the Federal Government
*Less than 10% comes from state and local governments
*Roughly 20% is from the University itself (endowment?? tuition? not 100% sure)
*Roughly 5% is from private industry
*Less than 10% Other

Federal Government Funding Breakdown

==Key Words==

===Universities (Patent Assignees)===
BOARD OF REGENTS - pretty much exclusively describes universities

UNIVERSITY - also exclusively describes universities
*Can we do a close match with University? (its the only word on this list that's frequently misspelled)

SCHOOL - often used in combination with medicine or medical to describe medical schools
*also are used to describe actual schools (i.e. HISD) and other businesses
*sometimes present in addresses - can we cut off the adresses?
*also used in combination with Business (i.e. Harvard Business School)
*use school only in conjuction with medical, medicine, and business

COLLEGE
*need to cut off addresses for this to work
*need to ensure that we include the space after
*excl. College Boulevard, college blvd, etc.
*double check everything with College Park

INSTITUTE OF TECHNOLOGY - almost exclusively describes universities but sometimes describes external research institutes

POLYTECHNIC - exclusively university (i.e. RPI, Virginia Tech)

RESEARCH FOUNDATION: VAST majority are university
*Exclusions: it's really difficult to distinguish between university affiliated and not, besides just looking them up on the google
**Novartis
**Progeria
**Washington Research Foundation
**Blood Center of Wisconsins
**Mental Hygiene
**Celiac Sprue
**Fidia
**Samuel Waxman Cancer Center
***founded by a faculty member at Mt. Sinai Medical School,not affil w/a single university but researchers are also usually faculty at various universities
**lifenet
**HealthPartners
**Dr. Susan Love
**La Jolla Cancer Research Foundation
**Children's Hospital (? grants degrees but is a hospital system)
**Medforte
**International Mask
**Palo Alto Medical Foundation

====Exclusions====
*LLC
*LLP

===Technology Transfer Offices===

====Job Titles====
*Patent Portfolio Manager
*Intellectual Property Manager
*Licensing Associate/Licensing Liaison
*Biological Materials Specialist
*Industrial Contracts Officer
*Technology Licensing Officer
*Associate Officer
*Technology Licensing Associates
*Patent Coordinator/Patent Administrator
*IP Portfolio Specialist
*MTA Coordinator
*Sponsored Research Administrator
*Technology Transfer Specialist/Technology Transfer Associate
*Contracts Associate
*Portfolio Director
*Contracts Specialist
*Industry Contracts Analyst
*Patent Prosecution Analyst
*(Associate) Director of Intellectual Property
*(Associate) Director of Technology Transfer Policy
*(Associate) Director of Technology Transactions
*(Associate) Director of Agreement Administration
*Senior Associate - watch
*Patent Attorney/Patent Agent/Patent Counsel/Paralegal - watch

====TTO Names====
*Office of Technology Transfer/Technology Transfer Office
*Office of Technology Licensing/Technology Licensing Office
*Office of Technology Development
*Technology Ventures
*Innovation Services
*Intellectual Property & Industry Research Alliances
*InnovationAccess
*Invention Transfer Group
*Technology Development Group
*Office of Business Development
*Office of Technology Commercialization
*Office of Innovation and Commercialization
*Innovation, Technology & Alliances
*Technology & Industry Alliances
*Office for Management of Intellectual Property
*Innovation & Partnerships Office

===University-Affiliated Startups (Patent Assignees)===

==What to get from other people==

Avesh has clinical trial data on wiki and bulk drive (FDA Trials Data), need to build it into normal form, use clinical trials data to rank R&D engagement of universities, will be building up portfolios of different types of companies

Marcela is cleaning up patent data, has given patent assignee names -- got it! Could we filter by country and get strictly American names?

Catherine has zip codes of medical centers, use to look through patent data

==Questions==
*How innovative are universities compared to publicly-traded firms, etc.? (firms: 100 active patents at any given time)
*How do universities license?
*What does the average portfolio look like for universities? (compared to publicly traded, VC-backed, etc)
*What can explain the differences in rankings? (size, quality of universities, TTOs and quality/experience of workers - searched LinkedIns, geography, entrepreneurship programs, NIH/NSF grants)

==To Do==

*Create ranking
**Based on patent portfolio
**Licensing income
**Quality of TTO
**Publications (specifically based on research)?
**Amount received in grants/Amount of grants - we have numbers on amount of NIH grants and NSF grants
***NIH/NSF/STTR
**Control for school size/endowment
**Startups affiliated with university
***Value generated from these startups? (ask Avesh)
**Existence of entrepreneurship program
**Geography

*Describe average patent portfolio of university
**Number of patents
**Maybe categorize by research area?
*Describe how universities license
**USPTO earned revenue

Deliverable
*Ranking
*Explanation of what makes a good ranking/what factors a school needs to be more successful

Artifacts
*Grant Data
*Research Funding
*Star Scientists
*Regression with variables from Carnegie Classification (10-15 variables)
*Licensing (?)

===What We Have===

*Lit Review
*List of all post-secondary institutions (University Accreditation 3.2016_trim) - U.S. Department of Education
*Classification of universities (Carnegie Classification 2015) - Carnegie Classification
** includes all accredited degree-granting colleges and universities that are included in the National Center for Education Statistics Integrated Postsecondary Education Data System (IPEDS).
** Coverage: 4666 institutions of higher learning
** Variables: includes 94 variables
*** Enrollment data - subdivided into graduate and undergraduate
*** degrees conferred - divided into level and division
*** information on faculty (number, divided into levels i.e. assistant, assoc. and full time)
**** coverage for this variable is REALLY LOW
*** non-faculty research staff (includes post docs)
*** Science and Engineering Research and Development expenditures
*** Non-STEM research and Development expenditures
*Amount spent on R&D (Higher Ed R&D Rankings) - National Science Foundation
** includes just total R&D expenditures
*STTR full data 1995-2015 (STTRData) - Small Business Administration
*University Patent Numbers 1969-2012 - USPTO
*Patents that resulted from NIH grants
*Information about NSF grants

===What We Need===

*List of university-affiliated startups
**looks like AUTM STATT data has this because it was used in a study by Yael Hochberg [https://papers.ssrn.com/sol3/papers2.cfm?abstract_id=2418000]
**[https://www.forbes.com/sites/liyanchen/2015/07/29/americas-most-entrepreneurial-research-universities-2015/#3cb9829b3823| Rankings of Research Universities (2015)]
**FORBES ranked the country’s most entrepreneurial schools based on the numbers of alumni and students who have identified themselves as founders and business owners on LinkedIn (adjusted to total student body size). This year we rank both research universities and [https://www.forbes.com/sites/liyanchen/2015/07/29/americas-most-entrepreneurial-colleges-2015/#2b2909e04604| smaller colleges] separately.
*data about TTOs (# and quality of employees)
**LinkedIn crawler: working with Jeemin and Peter
*licensing data from AUTM [http://www.autm.net/statt] or already within the patent data?

==Name Matching==
*Jeemin has found all the correct and incorrect spellings of assignees with "University"
*Julia working on "Institute"
*We have a list of Universities that have patents from NIH grants, which could be a starting point for our ranking constituents

==Lit Reviews==

===Thursby, J. & Thursby, M.: Who Is Selling the Ivory Tower? Sources of Growth in University Licensing (2002)===

[http://pubsonline.informs.org/doi/pdf/10.1287/mnsc.48.1.90.14271]

@article{thursby2002who,
title={Who Is Selling the Ivory Tower? Sources of Growth in University Licensing},
author={Thursby, Jerry G. and Thursby, Marie C.},
journal={Management Science},
volume={48},
number={1},
pages={90--104},
year={2002},
publisher={INFORMS},
filename={Thursby Thursby (2002) - Who Is Selling the Ivory Tower}
}

*Reliance of industry on university inventions has increased
**AUTM surveys show 7.1% growth in yearly inventions disclosure from 1994-1998 for 64 universities that responded every year
*Primary reason for more disclosures may be increased propensity for faculty to disclose, rather than change in research focus
*Universities becoming more receptive to industry contracts
*Negative total TFP growth of licenses executed (-1.7% annual growth) - growth in disclosures and patent applications greater than the corresponding growth in licenses executed.
**Marginal university innovation offered to the market has declined in commercial appeal
**Universities are delving more deeply into the available pool of innovations to increase commercial activities
*No evidence on the importance of learning by doing on the part of TTOs except to note negative association between TTO growth and TFP growth in licensing
**Suggests at least the possibility of learning by doing effects

'''Other literature'''

*On the role of patents and publications in the transfer process: Adams 1990, Henderson et al. 1998, and Jaffe et al. 1993
*On consulting, sponsored research or institutional ties: Cohen et al. 1998; Mansfield 1995; Zucker et al. 1994, 1998
*On the nature of university licensing: Jensen and Thursby 2001, Mowery et al. 2001a,b, Mowery et al. 2001, Siegel et al. 1999, Thursby et al. 2001, Thursby and Kemp 2001

===Thursby, J., Jensen, Thursby, M.: Objectives, Characteristics and Outcomes of University Licensing: A Survey of Major U.S. Universities (2001)===

[https://pdfs.semanticscholar.org/637f/048c05ee83eb84a914f69e087f52acea1b6c.pdf]

@article{thursby2001objectives,
title={Objectives, Characteristics and Outcomes of University Licensing: A Survey of Major U.S. Universities},
author={Thursby, Jerry G., Jensen, Richard, and Thursby, Marie C.},
journal={The Journal of Technology Transfer},
volume={26},
number={1},
pages={59--72},
year={2001},
publisher={Springer},
abstract={This paper describes results of our survey of licensing at 62 research universities. We consider ownership, income splits, stage of development, marketing, license policies and characteristics, goals of licensing and the role of the inventor in licensing. Based on these results we analyze the relationship between licensing outcomes and both the objectives of the TTO and the characteristics of the technologies. Patent applications grow one-to-one with disclosures, while sponsored research grows similarly with licenses executed. Royalties are typically larger the higher the quality of the faculty and the higher the fraction of licenses that are executed at latter stages of development. Sponsored research is more likely to be included in a license if the new technology is at an early stage of development or if the TTO evaluates it as important. We find that additional disclosures generate smaller percentage increases in licenses, and those increases in licenses generate smaller percentage increases in royalties.},
filename={Thursby et al (2001) - Objectives, Characteristics and Outcomes of University Licensing}
}

*University licensing has increased dramatically post-Bayh-Dole (1980)
**According to AUTM 1996, licenses executed increased 75% from 1991-1996, (total: 13,087)
*Survey of TTOs of 62 major US universities
**Majority of universities retain titles to inventions
**All universities split income with inventors
**Royalties generate most of the revenue of licensing

*Open question: Is the increased propensity of faculty to disclose a response to financial incentives or an increase in the effectiveness of TTOs in inducing disclosure?

Survey
*62/135 universities responded
*63% public, and 62% of public universities that responded were land-grant
*37% private
*average industry sponsored research $16.9 mil, federally sponsored $149.6 mil (1996)
*average TTO: 26.3 licenses executed, 92.3 invention disclosures, 30.1 new patent apps, $4.2 mil income (1996)
*35% of respondents had reorganized TTO since 1990
*90% of universities allow faculty to establish and operate businesses based on technology owned by university but developed in faculty's research
*Inventions disclosed: 33% med schools, 29% engineering, 22% science, 6% agriculture, 10% other
*Majority of invention disclosures in nascent stage (proof of concept - 45% or prototype - 37%)
*Patents often applied for after knowing commercial viability, licensed technologies often not protected by patents
*60% of universities said small companies more likely to take early stage technologies and large companies more likely to take late stage - small firms may have advantage in "innovative" research (Holmstrom 1989)
*TTOs obtain smaller upfront fees the more uncertain the technology being licensed is
*Universities usually do not take equity in the license

Regression of licensing outcomes

[[File:LicensingOutcomeReg.png|500px]]

*Dependent variables: royalties, sponsored research, patents (new applications), licenses executed
*Independent variables: importance of outcome to TTO, types of inventions, measure of size of university's licensing operation/potential
*Logs of all variables except indicator variables
*Probit for frequency of sponsored research
*INVDIS: number of disclosures
*TTOSIZE: number of licensing individuals
*TTOEVAL_1 = 1: if TTOs that said licenses/patents are "not very important"
*TTOEVAL_2 = 1: if TTOs that said licenses/patents are "moderately important"
*PROOF: % of licensed disclosures that were "proof of concept but no prototype"
*PTYPE: "Prototype available but only lab scale"
*MEDSCHL: 1 if med school exists
*QUAL: academic quality of faculty (1993 NRC's survey results of academic quality of Ph.D. granting departments)
*LICENSES: number of licenses executed
*SPONRES: amount of sponsored research
*SPONFREQ: frequency that sponsored research is tied to license (according to TTO)
*patent apps grow 1-to-1 with disclosures
*sponsored research grows with licenses executed
*more licenses executed at universities with large TTOs and med schools
*higher royalties with higher quality of faculty and higher fraction of licenses executed at later stages of development
*additional disclosures generate smaller % increases in licenses, which generate smaller % increases in royalties (TTOs generally effective at tapping pool of available technologies in their universities)

===Thursby, J., Fuller, Thursby, M.: US Faculty Patenting: Inside and Outside the University (2009)===

[http://www.nber.org/papers/w13256.pdf]

@article{thursby2009us,
title = "US Faculty Patenting: Inside and Outside the University",
author = "Jerry G. Thursby, Anne W. Fuller, and Marie C. Thursby",
journal={Research Policy},
volume={38},
number={1},
pages={14--25},
year={2009},
publisher={Elsevier},
abstract = {This paper examines the empirical anomaly that in a sample of 5811 patents on which US faculty are listed as inventors, 26% of the patents are assigned solely to firms rather than to the faculty member's university as is dictated by US university employment policies or the Bayh Dole Act. In this paper we estimate a series of probability models of assignment as a function of patent characteristics, university policy, and inventor fields in order to examine the extent to which outside assignment is nefarious or comes from legitimate activities, such as consulting. Patents assigned to firms (whether established or start-ups with inventor as principal) are less basic than those assigned to universities suggesting these patents result from faculty consulting. A higher inventor share increases the likelihood of university assignment as compared with assignment to a firm in which the inventor is a principal but it has no effect on consulting with established firms versus assignment to the university. Faculty in the physical sciences and engineering are more likely to assign their patents to established firms than those in biological sciences.},
filename={Thursby et al (2009) - US Faculty Patenting},
}

*only 62.4% of patents by university faculty members of 87 universities were assigned solely to universities
*identifying US university patents by institutional assignment misses significant percentage of faculty innovation in US universities
*higher inventor share increases likelihood of university assignment compared with assignment to a firm where inventor is principal
*possibilities: faculty in low share universities may be more willing to seek outside remuneration via assignment to start-up where they are principal; revenue shares may not affect startup activity but simply reduce number of inventions disclosed to university

Sources
*Faculty names from NRC
*Compared with inventor names in NBER Patent Database
*Excluded faculty who do not patent

Patent/Inventor Pairs
*MIT: 315
*Wisconsin: 232
*Stanford: 223
*UC San Diego: 216
*UC Berkeley: 207

Out of 5811 patents:
*1513 assigned solely to firms
*241 assigned to both firms and universities
*327 unassigned
*faculty are principals in assignee firms for 32.3% of patents assigned solely to firms and 24% of patents assigned to both (lower bound)

=== Valdivia: University Start-ups: Critical for Improving Technology Transfer (2013) ===

[https://www.brookings.edu/wp-content/uploads/2016/06/Valdivia_Tech-Transfer_v29_No-Embargo.pdf]

*Current emphasis on licensing patents, but most university TTOs do not generate enough to cover operating expenses
*Asymmetry in distribution of resources across the university system, only a few universities benefit from high licensing revenues
**top 8 universities took 50% of licensing income, top 16 universities took nearly 75% of income
**only 37 universities have been in the top 20 during the last decade (listed in University Patents > LicensingGrossIncome2003-2012.txt)
*Universities face much more pressure to demonstrate the economic impact of their R&D contracts
**97.6% of total public contracts obtained by universities are for basic/applied research
**2% of university research delivers ready-to-use technologies
**academic research is much more dependent on government funding than industry research is
*Government pressure for universities to be more responsive to market forces, more entrepreneurial, more attuned to needs of industry
*TTOs are costly to universities
*1979: 30 universities with TTO -> 1999: 174 universities (AUTM)
*2010: 206 US universities have very high or high research activity, all with TTOs (but not all report to AUTM) (Carnegie Classification of Higher Education)
*Over last 20 years, 87% of universities did not break even
*Clash between aims of university (non-profit) and TTO (essentially a business unit)
*By nurturing start-ups, TTOs can add most economic value to an invention disclosure
*2003: universities initiated 330 startups, 2012: 647 startups
*2012: 3715 operating university startups, almost double the number in 2000 (AUTM 2013)
*Startups mitigate financial risk by reducing reliance on blockbuster patents, increase diversification of portfolio
*Policy proposal: the government should increase funding for Small Business Technology Transfer Program (directed to university start-ups)
**H.R.2981: reapportions STTR funds at 0.05% in the next 2 years and 0.1% henceforth for university enterprises at proof of concept stage
*Should increase portion that agencies set aside for STTR
**STTR should have Phase III like SBIR to fund commercialization efforts
*Need equitable distribution across university system

=== The Bayh-Dole Act and High-Technology Entrepreneurship in U.S. Universities: Chicken, Egg, or Something Else? (2004) ===

[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.484.1612&rep=rep1&type=pdf]

==== Findings ====

* University research has an unusually significant impact on industrial innovation in the biomedical sector
* " This work also suggests that academic research rarely produces “prototypes” of inventions for development
and commercialization by industry—instead, academic research informs the methods and disciplines
employed by firms in their R&D facilities."
* The U.S. higher education system is much larger and more heterogenous than other developed countries - this encourages competition
* The passage of the Bayh-Dole Act was one part of a broader shift in U.S. policy toward stronger
intellectual property rights
* "Universities increased their share of patenting from less than 0.3% in 1963 to nearly 4% by 1999, but the rate of growth in this share begins to accelerate before rather than after 1980."
* "the Act's provisions expressed Congressional support for the negotiation of exclusive licenses between universities and industrial firms for the results of federally funded research"
* licensing revenues account for only a miniscule portion of universities' overall academic budgets
* the acceleration in growth of patenting and licensing began before the passage of the Bayh-Dole Act so this acceleration cannot be wholly attributed to the Act
* "the flow of knowledge and technology between university and industrial research is a two-way flow," despite previous characterization as wholly from academia to industry
* patents seem to be "especially important channels for technology transfer" in the biomedical sector

==== Data Sources ====
* 5 different case studies
1. Cotransformation: a process to transfer genes into mammalian cells (Columbia University).

2. Gallium Nitride: a semiconductor with both military and commercial applications (University of California).

3. Xalatan: a glaucoma treatment (Columbia University).

4. Ames II Tests: a bacteria assay for testing potential carcinogenic properties of pharmaceuticals and cosmetics (University of California).

5. Soluble CD4: a prototype for a drug to fight AIDS (Columbia University).

==== Critiques ====
* focuses on case studies as source of data

===Dornbusch, Schmoch, Schulze, Bethke: Identification of University-Based Patents: A New Large-Scale Approach (2012)===

[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.722.1368&rep=rep1&type=pdf]

Specific for German case, but certain points can help us

European convergence to US model (Bayh-Dole seen as main driver behind growing patent portfolios of US universities)

*University-owned patents (assigned to universities or their TTOs) and university-invented patents (assigned to university-affiliated authors)

Matching lists: traditional matching of lists of university staff/professors with inventor data
*time-consuming, costly, possibly not updated
*typically limited to tenured professors
*does not include Ph.D. students, assistants, lecturers

Matched authors of scientific publications and inventors on patents
*beware of homonyms

Patent data from EPO Worldwide Patent Statistical Database (PATSTAT)

Publication data from Elsevier (Scopus)

Country of origin: Inventor Country/Assignee Country/Applicant Country = Germany, Location of Organization to which author is affiliated =Germany
*Restrict dataset to authors from German organizations and inventors with residence in Germany

The organization

Names: To keep precision high, leave out names with initials only

Location: Postal/zip codes (PATSTAT provides address of inventor's residence, SCOPUS provides info for organization, 96.5% of first digit of inventor and organization postal codes are the same, 85.9% first two digits)

Time window: 2-year window between application and publication date

=== Singh A. and Wong P.K: University patenting activities and their link to the quantity and quality of scientific publications (2009) ===

[https://pdfs.semanticscholar.org/bb3a/df09ca693cdcff6c1f6aaf18113cabec2655.pdf]
==== Findings ====
* patenting by 281 leading world universities has consistently grown faster than general American patenting from 1977 - 2000
* North American university patenting growth has slowed relative to universities outside North America since the mid-1990s
* Between 2003-2005, they found that university patenting output has significant correlation with the both the quality and quantity of scientific publishing in North America
* In European and Australian universities, patenting correlated only with the quantity of scientific publishing, not with the quality
* In universities Europe, Australia, and North America, patenting correlated only with the quality of scientific publishing

==== Data Sources ====
* USPTO Patenting Data
* Shanghai Jiao Tong University's Academic Ranking of World Universities (ARWU)
* Times Higher Education Supplement's World University Ranking (WUR)
* Quantity was measured by counts of publications
* Quality was measured by citations to said publications
* the relationship between research and patenting was evaluated in two ways
** At the institutional level: patents assigned to universities
** At the individual level: patents with university researchers as the inventors

==== Critiques ====
* citations are not really a perfect measure of research quality and citations have little to do with practical use of the study (i.e. how much technological innovation is generated as a result of academic research publications)

==== Other Discoveries ====

* Study by Landry R., Amara N., and Saihi, M. (2006)
* (Owen Smith and Powell 2003) found that "organizations involved in technological commercialization tend to have higher publication rates than those who are not"
* (Lach and Schankerman 2003) found that "licensing revenues at the university level are positively influenced by publication citations per faculty"

University Patents

2017-04-21T18:29:24Z

Meghanapannala: /* Ranking Development Notes */

{{McNair Projects
|Has title=University Patents
|Has owner=Julia Wang, Meghana Pannala,
|Has keywords=Patent
|Has project status=Active
}}
==Project Overview==
Goal: list of all universities and # of patents associated with each university and patent licensing activity

patent reassignment to startups associated with these universities

clinical trials (from Catherine) data to rank universities R&D engagement

identify list of universities: board of regents, universities in patent data (find patterns associated with university assignees) -- @Julia: Where did we get this list? I'd love to be able filter by country - Meghana

AUTM?

==Timeline to Deliverable & Documentation==

Meghana: focus on grants

Julia: focus on patent counts

'''3/20-3/24'''

Learn SQL, clean data

'''3/27-3/31'''

Counts of data, name matching

Patent Counts
*Ran the matcher in the server, only matched ~40,000 entries
*Working with Jeemin to develop matcher

'''4/3-4/7'''

Counts of data, name matching

Patent Counts
*Jeemin is a savior, matched and counted 128,000 entries (Jeemin_matcher_matched.txt), manually went through the 6,000 unmatched (Jeemin_matcher_unmatched.txt)
*Ranking for all time is in Patent Counting ( >Total (All Time) )
*Need to talk with Meghana about grant data
*Need to find variables for regression, develop ranking for last decade and last year
*Also need to account for school size (faculty? students? research funding?)

'''4/10-4/14'''

Develop ranking

Patent Counts
*Finish all of above
*Start drafting
*Load data onto database

'''4/17-4/21'''

Editing and polishing report

==Ranking Development Notes==
Sources of Funding
*Roughly 60% comes from the Federal Government
*Less than 10% comes from state and local governments
*Roughly 20% is from the University itself (endowment?? tuition? not 100% sure)
*Roughly 5% is from private industry
*Less than 10% Other

Federal Government Funding Breakdown

==Key Words==

===Universities (Patent Assignees)===
BOARD OF REGENTS - pretty much exclusively describes universities

UNIVERSITY - also exclusively describes universities
*Can we do a close match with University? (its the only word on this list that's frequently misspelled)

SCHOOL - often used in combination with medicine or medical to describe medical schools
*also are used to describe actual schools (i.e. HISD) and other businesses
*sometimes present in addresses - can we cut off the adresses?
*also used in combination with Business (i.e. Harvard Business School)
*use school only in conjuction with medical, medicine, and business

COLLEGE
*need to cut off addresses for this to work
*need to ensure that we include the space after
*excl. College Boulevard, college blvd, etc.
*double check everything with College Park

INSTITUTE OF TECHNOLOGY - almost exclusively describes universities but sometimes describes external research institutes

POLYTECHNIC - exclusively university (i.e. RPI, Virginia Tech)

RESEARCH FOUNDATION: VAST majority are university
*Exclusions: it's really difficult to distinguish between university affiliated and not, besides just looking them up on the google
**Novartis
**Progeria
**Washington Research Foundation
**Blood Center of Wisconsins
**Mental Hygiene
**Celiac Sprue
**Fidia
**Samuel Waxman Cancer Center
***founded by a faculty member at Mt. Sinai Medical School,not affil w/a single university but researchers are also usually faculty at various universities
**lifenet
**HealthPartners
**Dr. Susan Love
**La Jolla Cancer Research Foundation
**Children's Hospital (? grants degrees but is a hospital system)
**Medforte
**International Mask
**Palo Alto Medical Foundation

====Exclusions====
*LLC
*LLP

===Technology Transfer Offices===

====Job Titles====
*Patent Portfolio Manager
*Intellectual Property Manager
*Licensing Associate/Licensing Liaison
*Biological Materials Specialist
*Industrial Contracts Officer
*Technology Licensing Officer
*Associate Officer
*Technology Licensing Associates
*Patent Coordinator/Patent Administrator
*IP Portfolio Specialist
*MTA Coordinator
*Sponsored Research Administrator
*Technology Transfer Specialist/Technology Transfer Associate
*Contracts Associate
*Portfolio Director
*Contracts Specialist
*Industry Contracts Analyst
*Patent Prosecution Analyst
*(Associate) Director of Intellectual Property
*(Associate) Director of Technology Transfer Policy
*(Associate) Director of Technology Transactions
*(Associate) Director of Agreement Administration
*Senior Associate - watch
*Patent Attorney/Patent Agent/Patent Counsel/Paralegal - watch

====TTO Names====
*Office of Technology Transfer/Technology Transfer Office
*Office of Technology Licensing/Technology Licensing Office
*Office of Technology Development
*Technology Ventures
*Innovation Services
*Intellectual Property & Industry Research Alliances
*InnovationAccess
*Invention Transfer Group
*Technology Development Group
*Office of Business Development
*Office of Technology Commercialization
*Office of Innovation and Commercialization
*Innovation, Technology & Alliances
*Technology & Industry Alliances
*Office for Management of Intellectual Property
*Innovation & Partnerships Office

===University-Affiliated Startups (Patent Assignees)===

==What to get from other people==

Avesh has clinical trial data on wiki and bulk drive (FDA Trials Data), need to build it into normal form, use clinical trials data to rank R&D engagement of universities, will be building up portfolios of different types of companies

Marcela is cleaning up patent data, has given patent assignee names -- got it! Could we filter by country and get strictly American names?

Catherine has zip codes of medical centers, use to look through patent data

==Questions==
*How innovative are universities compared to publicly-traded firms, etc.? (firms: 100 active patents at any given time)
*How do universities license?
*What does the average portfolio look like for universities? (compared to publicly traded, VC-backed, etc)
*What can explain the differences in rankings? (size, quality of universities, TTOs and quality/experience of workers - searched LinkedIns, geography, entrepreneurship programs, NIH/NSF grants)

==To Do==

*Create ranking
**Based on patent portfolio
**Licensing income
**Quality of TTO
**Publications (specifically based on research)?
**Amount received in grants/Amount of grants - we have numbers on amount of NIH grants and NSF grants
***NIH/NSF/STTR
**Control for school size/endowment
**Startups affiliated with university
***Value generated from these startups? (ask Avesh)
**Existence of entrepreneurship program
**Geography

*Describe average patent portfolio of university
**Number of patents
**Maybe categorize by research area?
*Describe how universities license
**USPTO earned revenue

Deliverable
*Ranking
*Explanation of what makes a good ranking/what factors a school needs to be more successful

Artifacts
*Grant Data
*Research Funding
*Star Scientists
*Regression with variables from Carnegie Classification (10-15 variables)
*Licensing (?)

===What We Have===

*Lit Review
*List of all post-secondary institutions (University Accreditation 3.2016_trim) - U.S. Department of Education
*Classification of universities (Carnegie Classification 2015) - Carnegie Classification
** includes all accredited degree-granting colleges and universities that are included in the National Center for Education Statistics Integrated Postsecondary Education Data System (IPEDS).
** Coverage: 4666 institutions of higher learning
** Variables: includes 94 variables
*** Enrollment data - subdivided into graduate and undergraduate
*** degrees conferred - divided into level and division
*** information on faculty (number, divided into levels i.e. assistant, assoc. and full time)
**** coverage for this variable is REALLY LOW
*** non-faculty research staff (includes post docs)
*** Science and Engineering Research and Development expenditures
*** Non-STEM research and Development expenditures
*Amount spent on R&D (Higher Ed R&D Rankings) - National Science Foundation
** includes just total R&D expenditures
*STTR full data 1995-2015 (STTRData) - Small Business Administration
*University Patent Numbers 1969-2012 - USPTO
*Patents that resulted from NIH grants
*Information about NSF grants

===What We Need===

*List of university-affiliated startups
**looks like AUTM STATT data has this because it was used in a study by Yael Hochberg [https://papers.ssrn.com/sol3/papers2.cfm?abstract_id=2418000]
**[https://www.forbes.com/sites/liyanchen/2015/07/29/americas-most-entrepreneurial-research-universities-2015/#3cb9829b3823| Rankings of Research Universities (2015)]
**FORBES ranked the country’s most entrepreneurial schools based on the numbers of alumni and students who have identified themselves as founders and business owners on LinkedIn (adjusted to total student body size). This year we rank both research universities and [https://www.forbes.com/sites/liyanchen/2015/07/29/americas-most-entrepreneurial-colleges-2015/#2b2909e04604| smaller colleges] separately.
*data about TTOs (# and quality of employees)
**LinkedIn crawler: working with Jeemin and Peter
*licensing data from AUTM [http://www.autm.net/statt] or already within the patent data?

==Name Matching==
*Jeemin has found all the correct and incorrect spellings of assignees with "University"
*Julia working on "Institute"
*We have a list of Universities that have patents from NIH grants, which could be a starting point for our ranking constituents

==Lit Reviews==

===Thursby, J. & Thursby, M.: Who Is Selling the Ivory Tower? Sources of Growth in University Licensing (2002)===

[http://pubsonline.informs.org/doi/pdf/10.1287/mnsc.48.1.90.14271]

@article{thursby2002who,
title={Who Is Selling the Ivory Tower? Sources of Growth in University Licensing},
author={Thursby, Jerry G. and Thursby, Marie C.},
journal={Management Science},
volume={48},
number={1},
pages={90--104},
year={2002},
publisher={INFORMS},
filename={Thursby Thursby (2002) - Who Is Selling the Ivory Tower}
}

*Reliance of industry on university inventions has increased
**AUTM surveys show 7.1% growth in yearly inventions disclosure from 1994-1998 for 64 universities that responded every year
*Primary reason for more disclosures may be increased propensity for faculty to disclose, rather than change in research focus
*Universities becoming more receptive to industry contracts
*Negative total TFP growth of licenses executed (-1.7% annual growth) - growth in disclosures and patent applications greater than the corresponding growth in licenses executed.
**Marginal university innovation offered to the market has declined in commercial appeal
**Universities are delving more deeply into the available pool of innovations to increase commercial activities
*No evidence on the importance of learning by doing on the part of TTOs except to note negative association between TTO growth and TFP growth in licensing
**Suggests at least the possibility of learning by doing effects

'''Other literature'''

*On the role of patents and publications in the transfer process: Adams 1990, Henderson et al. 1998, and Jaffe et al. 1993
*On consulting, sponsored research or institutional ties: Cohen et al. 1998; Mansfield 1995; Zucker et al. 1994, 1998
*On the nature of university licensing: Jensen and Thursby 2001, Mowery et al. 2001a,b, Mowery et al. 2001, Siegel et al. 1999, Thursby et al. 2001, Thursby and Kemp 2001

===Thursby, J., Jensen, Thursby, M.: Objectives, Characteristics and Outcomes of University Licensing: A Survey of Major U.S. Universities (2001)===

[https://pdfs.semanticscholar.org/637f/048c05ee83eb84a914f69e087f52acea1b6c.pdf]

@article{thursby2001objectives,
title={Objectives, Characteristics and Outcomes of University Licensing: A Survey of Major U.S. Universities},
author={Thursby, Jerry G., Jensen, Richard, and Thursby, Marie C.},
journal={The Journal of Technology Transfer},
volume={26},
number={1},
pages={59--72},
year={2001},
publisher={Springer},
abstract={This paper describes results of our survey of licensing at 62 research universities. We consider ownership, income splits, stage of development, marketing, license policies and characteristics, goals of licensing and the role of the inventor in licensing. Based on these results we analyze the relationship between licensing outcomes and both the objectives of the TTO and the characteristics of the technologies. Patent applications grow one-to-one with disclosures, while sponsored research grows similarly with licenses executed. Royalties are typically larger the higher the quality of the faculty and the higher the fraction of licenses that are executed at latter stages of development. Sponsored research is more likely to be included in a license if the new technology is at an early stage of development or if the TTO evaluates it as important. We find that additional disclosures generate smaller percentage increases in licenses, and those increases in licenses generate smaller percentage increases in royalties.},
filename={Thursby et al (2001) - Objectives, Characteristics and Outcomes of University Licensing}
}

*University licensing has increased dramatically post-Bayh-Dole (1980)
**According to AUTM 1996, licenses executed increased 75% from 1991-1996, (total: 13,087)
*Survey of TTOs of 62 major US universities
**Majority of universities retain titles to inventions
**All universities split income with inventors
**Royalties generate most of the revenue of licensing

*Open question: Is the increased propensity of faculty to disclose a response to financial incentives or an increase in the effectiveness of TTOs in inducing disclosure?

Survey
*62/135 universities responded
*63% public, and 62% of public universities that responded were land-grant
*37% private
*average industry sponsored research $16.9 mil, federally sponsored $149.6 mil (1996)
*average TTO: 26.3 licenses executed, 92.3 invention disclosures, 30.1 new patent apps, $4.2 mil income (1996)
*35% of respondents had reorganized TTO since 1990
*90% of universities allow faculty to establish and operate businesses based on technology owned by university but developed in faculty's research
*Inventions disclosed: 33% med schools, 29% engineering, 22% science, 6% agriculture, 10% other
*Majority of invention disclosures in nascent stage (proof of concept - 45% or prototype - 37%)
*Patents often applied for after knowing commercial viability, licensed technologies often not protected by patents
*60% of universities said small companies more likely to take early stage technologies and large companies more likely to take late stage - small firms may have advantage in "innovative" research (Holmstrom 1989)
*TTOs obtain smaller upfront fees the more uncertain the technology being licensed is
*Universities usually do not take equity in the license

Regression of licensing outcomes

[[File:LicensingOutcomeReg.png|500px]]

*Dependent variables: royalties, sponsored research, patents (new applications), licenses executed
*Independent variables: importance of outcome to TTO, types of inventions, measure of size of university's licensing operation/potential
*Logs of all variables except indicator variables
*Probit for frequency of sponsored research
*INVDIS: number of disclosures
*TTOSIZE: number of licensing individuals
*TTOEVAL_1 = 1: if TTOs that said licenses/patents are "not very important"
*TTOEVAL_2 = 1: if TTOs that said licenses/patents are "moderately important"
*PROOF: % of licensed disclosures that were "proof of concept but no prototype"
*PTYPE: "Prototype available but only lab scale"
*MEDSCHL: 1 if med school exists
*QUAL: academic quality of faculty (1993 NRC's survey results of academic quality of Ph.D. granting departments)
*LICENSES: number of licenses executed
*SPONRES: amount of sponsored research
*SPONFREQ: frequency that sponsored research is tied to license (according to TTO)
*patent apps grow 1-to-1 with disclosures
*sponsored research grows with licenses executed
*more licenses executed at universities with large TTOs and med schools
*higher royalties with higher quality of faculty and higher fraction of licenses executed at later stages of development
*additional disclosures generate smaller % increases in licenses, which generate smaller % increases in royalties (TTOs generally effective at tapping pool of available technologies in their universities)

===Thursby, J., Fuller, Thursby, M.: US Faculty Patenting: Inside and Outside the University (2009)===

[http://www.nber.org/papers/w13256.pdf]

@article{thursby2009us,
title = "US Faculty Patenting: Inside and Outside the University",
author = "Jerry G. Thursby, Anne W. Fuller, and Marie C. Thursby",
journal={Research Policy},
volume={38},
number={1},
pages={14--25},
year={2009},
publisher={Elsevier},
abstract = {This paper examines the empirical anomaly that in a sample of 5811 patents on which US faculty are listed as inventors, 26% of the patents are assigned solely to firms rather than to the faculty member's university as is dictated by US university employment policies or the Bayh Dole Act. In this paper we estimate a series of probability models of assignment as a function of patent characteristics, university policy, and inventor fields in order to examine the extent to which outside assignment is nefarious or comes from legitimate activities, such as consulting. Patents assigned to firms (whether established or start-ups with inventor as principal) are less basic than those assigned to universities suggesting these patents result from faculty consulting. A higher inventor share increases the likelihood of university assignment as compared with assignment to a firm in which the inventor is a principal but it has no effect on consulting with established firms versus assignment to the university. Faculty in the physical sciences and engineering are more likely to assign their patents to established firms than those in biological sciences.},
filename={Thursby et al (2009) - US Faculty Patenting},
}

*only 62.4% of patents by university faculty members of 87 universities were assigned solely to universities
*identifying US university patents by institutional assignment misses significant percentage of faculty innovation in US universities
*higher inventor share increases likelihood of university assignment compared with assignment to a firm where inventor is principal
*possibilities: faculty in low share universities may be more willing to seek outside remuneration via assignment to start-up where they are principal; revenue shares may not affect startup activity but simply reduce number of inventions disclosed to university

Sources
*Faculty names from NRC
*Compared with inventor names in NBER Patent Database
*Excluded faculty who do not patent

Patent/Inventor Pairs
*MIT: 315
*Wisconsin: 232
*Stanford: 223
*UC San Diego: 216
*UC Berkeley: 207

Out of 5811 patents:
*1513 assigned solely to firms
*241 assigned to both firms and universities
*327 unassigned
*faculty are principals in assignee firms for 32.3% of patents assigned solely to firms and 24% of patents assigned to both (lower bound)

=== Valdivia: University Start-ups: Critical for Improving Technology Transfer (2013) ===

[https://www.brookings.edu/wp-content/uploads/2016/06/Valdivia_Tech-Transfer_v29_No-Embargo.pdf]

*Current emphasis on licensing patents, but most university TTOs do not generate enough to cover operating expenses
*Asymmetry in distribution of resources across the university system, only a few universities benefit from high licensing revenues
**top 8 universities took 50% of licensing income, top 16 universities took nearly 75% of income
**only 37 universities have been in the top 20 during the last decade (listed in University Patents > LicensingGrossIncome2003-2012.txt)
*Universities face much more pressure to demonstrate the economic impact of their R&D contracts
**97.6% of total public contracts obtained by universities are for basic/applied research
**2% of university research delivers ready-to-use technologies
**academic research is much more dependent on government funding than industry research is
*Government pressure for universities to be more responsive to market forces, more entrepreneurial, more attuned to needs of industry
*TTOs are costly to universities
*1979: 30 universities with TTO -> 1999: 174 universities (AUTM)
*2010: 206 US universities have very high or high research activity, all with TTOs (but not all report to AUTM) (Carnegie Classification of Higher Education)
*Over last 20 years, 87% of universities did not break even
*Clash between aims of university (non-profit) and TTO (essentially a business unit)
*By nurturing start-ups, TTOs can add most economic value to an invention disclosure
*2003: universities initiated 330 startups, 2012: 647 startups
*2012: 3715 operating university startups, almost double the number in 2000 (AUTM 2013)
*Startups mitigate financial risk by reducing reliance on blockbuster patents, increase diversification of portfolio
*Policy proposal: the government should increase funding for Small Business Technology Transfer Program (directed to university start-ups)
**H.R.2981: reapportions STTR funds at 0.05% in the next 2 years and 0.1% henceforth for university enterprises at proof of concept stage
*Should increase portion that agencies set aside for STTR
**STTR should have Phase III like SBIR to fund commercialization efforts
*Need equitable distribution across university system

=== The Bayh-Dole Act and High-Technology Entrepreneurship in U.S. Universities: Chicken, Egg, or Something Else? (2004) ===

[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.484.1612&rep=rep1&type=pdf]

==== Findings ====

* University research has an unusually significant impact on industrial innovation in the biomedical sector
* " This work also suggests that academic research rarely produces “prototypes” of inventions for development
and commercialization by industry—instead, academic research informs the methods and disciplines
employed by firms in their R&D facilities."
* The U.S. higher education system is much larger and more heterogenous than other developed countries - this encourages competition
* The passage of the Bayh-Dole Act was one part of a broader shift in U.S. policy toward stronger
intellectual property rights
* "Universities increased their share of patenting from less than 0.3% in 1963 to nearly 4% by 1999, but the rate of growth in this share begins to accelerate before rather than after 1980."
* "the Act's provisions expressed Congressional support for the negotiation of exclusive licenses between universities and industrial firms for the results of federally funded research"
* licensing revenues account for only a miniscule portion of universities' overall academic budgets
* the acceleration in growth of patenting and licensing began before the passage of the Bayh-Dole Act so this acceleration cannot be wholly attributed to the Act
* "the flow of knowledge and technology between university and industrial research is a two-way flow," despite previous characterization as wholly from academia to industry
* patents seem to be "especially important channels for technology transfer" in the biomedical sector

==== Data Sources ====
* 5 different case studies
1. Cotransformation: a process to transfer genes into mammalian cells (Columbia University).

2. Gallium Nitride: a semiconductor with both military and commercial applications (University of California).

3. Xalatan: a glaucoma treatment (Columbia University).

4. Ames II Tests: a bacteria assay for testing potential carcinogenic properties of pharmaceuticals and cosmetics (University of California).

5. Soluble CD4: a prototype for a drug to fight AIDS (Columbia University).

==== Critiques ====
* focuses on case studies as source of data

===Dornbusch, Schmoch, Schulze, Bethke: Identification of University-Based Patents: A New Large-Scale Approach (2012)===

[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.722.1368&rep=rep1&type=pdf]

Specific for German case, but certain points can help us

European convergence to US model (Bayh-Dole seen as main driver behind growing patent portfolios of US universities)

*University-owned patents (assigned to universities or their TTOs) and university-invented patents (assigned to university-affiliated authors)

Matching lists: traditional matching of lists of university staff/professors with inventor data
*time-consuming, costly, possibly not updated
*typically limited to tenured professors
*does not include Ph.D. students, assistants, lecturers

Matched authors of scientific publications and inventors on patents
*beware of homonyms

Patent data from EPO Worldwide Patent Statistical Database (PATSTAT)

Publication data from Elsevier (Scopus)

Country of origin: Inventor Country/Assignee Country/Applicant Country = Germany, Location of Organization to which author is affiliated =Germany
*Restrict dataset to authors from German organizations and inventors with residence in Germany

The organization

Names: To keep precision high, leave out names with initials only

Location: Postal/zip codes (PATSTAT provides address of inventor's residence, SCOPUS provides info for organization, 96.5% of first digit of inventor and organization postal codes are the same, 85.9% first two digits)

Time window: 2-year window between application and publication date

=== Singh A. and Wong P.K: University patenting activities and their link to the quantity and quality of scientific publications (2009) ===

[https://pdfs.semanticscholar.org/bb3a/df09ca693cdcff6c1f6aaf18113cabec2655.pdf]
==== Findings ====
* patenting by 281 leading world universities has consistently grown faster than general American patenting from 1977 - 2000
* North American university patenting growth has slowed relative to universities outside North America since the mid-1990s
* Between 2003-2005, they found that university patenting output has significant correlation with the both the quality and quantity of scientific publishing in North America
* In European and Australian universities, patenting correlated only with the quantity of scientific publishing, not with the quality
* In universities Europe, Australia, and North America, patenting correlated only with the quality of scientific publishing

==== Data Sources ====
* USPTO Patenting Data
* Shanghai Jiao Tong University's Academic Ranking of World Universities (ARWU)
* Times Higher Education Supplement's World University Ranking (WUR)
* Quantity was measured by counts of publications
* Quality was measured by citations to said publications
* the relationship between research and patenting was evaluated in two ways
** At the institutional level: patents assigned to universities
** At the individual level: patents with university researchers as the inventors

==== Critiques ====
* citations are not really a perfect measure of research quality and citations have little to do with practical use of the study (i.e. how much technological innovation is generated as a result of academic research publications)

==== Other Discoveries ====

* Study by Landry R., Amara N., and Saihi, M. (2006)
* (Owen Smith and Powell 2003) found that "organizations involved in technological commercialization tend to have higher publication rates than those who are not"
* (Lach and Schankerman 2003) found that "licensing revenues at the university level are positively influenced by publication citations per faculty"

University Patents

2017-04-21T18:24:25Z

Meghanapannala:

{{McNair Projects
|Has title=University Patents
|Has owner=Julia Wang, Meghana Pannala,
|Has keywords=Patent
|Has project status=Active
}}
==Project Overview==
Goal: list of all universities and # of patents associated with each university and patent licensing activity

patent reassignment to startups associated with these universities

clinical trials (from Catherine) data to rank universities R&D engagement

identify list of universities: board of regents, universities in patent data (find patterns associated with university assignees) -- @Julia: Where did we get this list? I'd love to be able filter by country - Meghana

AUTM?

==Timeline to Deliverable & Documentation==

Meghana: focus on grants

Julia: focus on patent counts

'''3/20-3/24'''

Learn SQL, clean data

'''3/27-3/31'''

Counts of data, name matching

Patent Counts
*Ran the matcher in the server, only matched ~40,000 entries
*Working with Jeemin to develop matcher

'''4/3-4/7'''

Counts of data, name matching

Patent Counts
*Jeemin is a savior, matched and counted 128,000 entries (Jeemin_matcher_matched.txt), manually went through the 6,000 unmatched (Jeemin_matcher_unmatched.txt)
*Ranking for all time is in Patent Counting ( >Total (All Time) )
*Need to talk with Meghana about grant data
*Need to find variables for regression, develop ranking for last decade and last year
*Also need to account for school size (faculty? students? research funding?)

'''4/10-4/14'''

Develop ranking

Patent Counts
*Finish all of above
*Start drafting
*Load data onto database

'''4/17-4/21'''

Editing and polishing report

==Ranking Development Notes==
[insert notes here]

==Key Words==

===Universities (Patent Assignees)===
BOARD OF REGENTS - pretty much exclusively describes universities

UNIVERSITY - also exclusively describes universities
*Can we do a close match with University? (its the only word on this list that's frequently misspelled)

SCHOOL - often used in combination with medicine or medical to describe medical schools
*also are used to describe actual schools (i.e. HISD) and other businesses
*sometimes present in addresses - can we cut off the adresses?
*also used in combination with Business (i.e. Harvard Business School)
*use school only in conjuction with medical, medicine, and business

COLLEGE
*need to cut off addresses for this to work
*need to ensure that we include the space after
*excl. College Boulevard, college blvd, etc.
*double check everything with College Park

INSTITUTE OF TECHNOLOGY - almost exclusively describes universities but sometimes describes external research institutes

POLYTECHNIC - exclusively university (i.e. RPI, Virginia Tech)

RESEARCH FOUNDATION: VAST majority are university
*Exclusions: it's really difficult to distinguish between university affiliated and not, besides just looking them up on the google
**Novartis
**Progeria
**Washington Research Foundation
**Blood Center of Wisconsins
**Mental Hygiene
**Celiac Sprue
**Fidia
**Samuel Waxman Cancer Center
***founded by a faculty member at Mt. Sinai Medical School,not affil w/a single university but researchers are also usually faculty at various universities
**lifenet
**HealthPartners
**Dr. Susan Love
**La Jolla Cancer Research Foundation
**Children's Hospital (? grants degrees but is a hospital system)
**Medforte
**International Mask
**Palo Alto Medical Foundation

====Exclusions====
*LLC
*LLP

===Technology Transfer Offices===

====Job Titles====
*Patent Portfolio Manager
*Intellectual Property Manager
*Licensing Associate/Licensing Liaison
*Biological Materials Specialist
*Industrial Contracts Officer
*Technology Licensing Officer
*Associate Officer
*Technology Licensing Associates
*Patent Coordinator/Patent Administrator
*IP Portfolio Specialist
*MTA Coordinator
*Sponsored Research Administrator
*Technology Transfer Specialist/Technology Transfer Associate
*Contracts Associate
*Portfolio Director
*Contracts Specialist
*Industry Contracts Analyst
*Patent Prosecution Analyst
*(Associate) Director of Intellectual Property
*(Associate) Director of Technology Transfer Policy
*(Associate) Director of Technology Transactions
*(Associate) Director of Agreement Administration
*Senior Associate - watch
*Patent Attorney/Patent Agent/Patent Counsel/Paralegal - watch

====TTO Names====
*Office of Technology Transfer/Technology Transfer Office
*Office of Technology Licensing/Technology Licensing Office
*Office of Technology Development
*Technology Ventures
*Innovation Services
*Intellectual Property & Industry Research Alliances
*InnovationAccess
*Invention Transfer Group
*Technology Development Group
*Office of Business Development
*Office of Technology Commercialization
*Office of Innovation and Commercialization
*Innovation, Technology & Alliances
*Technology & Industry Alliances
*Office for Management of Intellectual Property
*Innovation & Partnerships Office

===University-Affiliated Startups (Patent Assignees)===

==What to get from other people==

Avesh has clinical trial data on wiki and bulk drive (FDA Trials Data), need to build it into normal form, use clinical trials data to rank R&D engagement of universities, will be building up portfolios of different types of companies

Marcela is cleaning up patent data, has given patent assignee names -- got it! Could we filter by country and get strictly American names?

Catherine has zip codes of medical centers, use to look through patent data

==Questions==
*How innovative are universities compared to publicly-traded firms, etc.? (firms: 100 active patents at any given time)
*How do universities license?
*What does the average portfolio look like for universities? (compared to publicly traded, VC-backed, etc)
*What can explain the differences in rankings? (size, quality of universities, TTOs and quality/experience of workers - searched LinkedIns, geography, entrepreneurship programs, NIH/NSF grants)

==To Do==

*Create ranking
**Based on patent portfolio
**Licensing income
**Quality of TTO
**Publications (specifically based on research)?
**Amount received in grants/Amount of grants - we have numbers on amount of NIH grants and NSF grants
***NIH/NSF/STTR
**Control for school size/endowment
**Startups affiliated with university
***Value generated from these startups? (ask Avesh)
**Existence of entrepreneurship program
**Geography

*Describe average patent portfolio of university
**Number of patents
**Maybe categorize by research area?
*Describe how universities license
**USPTO earned revenue

Deliverable
*Ranking
*Explanation of what makes a good ranking/what factors a school needs to be more successful

Artifacts
*Grant Data
*Research Funding
*Star Scientists
*Regression with variables from Carnegie Classification (10-15 variables)
*Licensing (?)

===What We Have===

*Lit Review
*List of all post-secondary institutions (University Accreditation 3.2016_trim) - U.S. Department of Education
*Classification of universities (Carnegie Classification 2015) - Carnegie Classification
** includes all accredited degree-granting colleges and universities that are included in the National Center for Education Statistics Integrated Postsecondary Education Data System (IPEDS).
** Coverage: 4666 institutions of higher learning
** Variables: includes 94 variables
*** Enrollment data - subdivided into graduate and undergraduate
*** degrees conferred - divided into level and division
*** information on faculty (number, divided into levels i.e. assistant, assoc. and full time)
**** coverage for this variable is REALLY LOW
*** non-faculty research staff (includes post docs)
*** Science and Engineering Research and Development expenditures
*** Non-STEM research and Development expenditures
*Amount spent on R&D (Higher Ed R&D Rankings) - National Science Foundation
** includes just total R&D expenditures
*STTR full data 1995-2015 (STTRData) - Small Business Administration
*University Patent Numbers 1969-2012 - USPTO
*Patents that resulted from NIH grants
*Information about NSF grants

===What We Need===

*List of university-affiliated startups
**looks like AUTM STATT data has this because it was used in a study by Yael Hochberg [https://papers.ssrn.com/sol3/papers2.cfm?abstract_id=2418000]
**[https://www.forbes.com/sites/liyanchen/2015/07/29/americas-most-entrepreneurial-research-universities-2015/#3cb9829b3823| Rankings of Research Universities (2015)]
**FORBES ranked the country’s most entrepreneurial schools based on the numbers of alumni and students who have identified themselves as founders and business owners on LinkedIn (adjusted to total student body size). This year we rank both research universities and [https://www.forbes.com/sites/liyanchen/2015/07/29/americas-most-entrepreneurial-colleges-2015/#2b2909e04604| smaller colleges] separately.
*data about TTOs (# and quality of employees)
**LinkedIn crawler: working with Jeemin and Peter
*licensing data from AUTM [http://www.autm.net/statt] or already within the patent data?

==Name Matching==
*Jeemin has found all the correct and incorrect spellings of assignees with "University"
*Julia working on "Institute"
*We have a list of Universities that have patents from NIH grants, which could be a starting point for our ranking constituents

==Lit Reviews==

===Thursby, J. & Thursby, M.: Who Is Selling the Ivory Tower? Sources of Growth in University Licensing (2002)===

[http://pubsonline.informs.org/doi/pdf/10.1287/mnsc.48.1.90.14271]

@article{thursby2002who,
title={Who Is Selling the Ivory Tower? Sources of Growth in University Licensing},
author={Thursby, Jerry G. and Thursby, Marie C.},
journal={Management Science},
volume={48},
number={1},
pages={90--104},
year={2002},
publisher={INFORMS},
filename={Thursby Thursby (2002) - Who Is Selling the Ivory Tower}
}

*Reliance of industry on university inventions has increased
**AUTM surveys show 7.1% growth in yearly inventions disclosure from 1994-1998 for 64 universities that responded every year
*Primary reason for more disclosures may be increased propensity for faculty to disclose, rather than change in research focus
*Universities becoming more receptive to industry contracts
*Negative total TFP growth of licenses executed (-1.7% annual growth) - growth in disclosures and patent applications greater than the corresponding growth in licenses executed.
**Marginal university innovation offered to the market has declined in commercial appeal
**Universities are delving more deeply into the available pool of innovations to increase commercial activities
*No evidence on the importance of learning by doing on the part of TTOs except to note negative association between TTO growth and TFP growth in licensing
**Suggests at least the possibility of learning by doing effects

'''Other literature'''

*On the role of patents and publications in the transfer process: Adams 1990, Henderson et al. 1998, and Jaffe et al. 1993
*On consulting, sponsored research or institutional ties: Cohen et al. 1998; Mansfield 1995; Zucker et al. 1994, 1998
*On the nature of university licensing: Jensen and Thursby 2001, Mowery et al. 2001a,b, Mowery et al. 2001, Siegel et al. 1999, Thursby et al. 2001, Thursby and Kemp 2001

===Thursby, J., Jensen, Thursby, M.: Objectives, Characteristics and Outcomes of University Licensing: A Survey of Major U.S. Universities (2001)===

[https://pdfs.semanticscholar.org/637f/048c05ee83eb84a914f69e087f52acea1b6c.pdf]

@article{thursby2001objectives,
title={Objectives, Characteristics and Outcomes of University Licensing: A Survey of Major U.S. Universities},
author={Thursby, Jerry G., Jensen, Richard, and Thursby, Marie C.},
journal={The Journal of Technology Transfer},
volume={26},
number={1},
pages={59--72},
year={2001},
publisher={Springer},
abstract={This paper describes results of our survey of licensing at 62 research universities. We consider ownership, income splits, stage of development, marketing, license policies and characteristics, goals of licensing and the role of the inventor in licensing. Based on these results we analyze the relationship between licensing outcomes and both the objectives of the TTO and the characteristics of the technologies. Patent applications grow one-to-one with disclosures, while sponsored research grows similarly with licenses executed. Royalties are typically larger the higher the quality of the faculty and the higher the fraction of licenses that are executed at latter stages of development. Sponsored research is more likely to be included in a license if the new technology is at an early stage of development or if the TTO evaluates it as important. We find that additional disclosures generate smaller percentage increases in licenses, and those increases in licenses generate smaller percentage increases in royalties.},
filename={Thursby et al (2001) - Objectives, Characteristics and Outcomes of University Licensing}
}

*University licensing has increased dramatically post-Bayh-Dole (1980)
**According to AUTM 1996, licenses executed increased 75% from 1991-1996, (total: 13,087)
*Survey of TTOs of 62 major US universities
**Majority of universities retain titles to inventions
**All universities split income with inventors
**Royalties generate most of the revenue of licensing

*Open question: Is the increased propensity of faculty to disclose a response to financial incentives or an increase in the effectiveness of TTOs in inducing disclosure?

Survey
*62/135 universities responded
*63% public, and 62% of public universities that responded were land-grant
*37% private
*average industry sponsored research $16.9 mil, federally sponsored $149.6 mil (1996)
*average TTO: 26.3 licenses executed, 92.3 invention disclosures, 30.1 new patent apps, $4.2 mil income (1996)
*35% of respondents had reorganized TTO since 1990
*90% of universities allow faculty to establish and operate businesses based on technology owned by university but developed in faculty's research
*Inventions disclosed: 33% med schools, 29% engineering, 22% science, 6% agriculture, 10% other
*Majority of invention disclosures in nascent stage (proof of concept - 45% or prototype - 37%)
*Patents often applied for after knowing commercial viability, licensed technologies often not protected by patents
*60% of universities said small companies more likely to take early stage technologies and large companies more likely to take late stage - small firms may have advantage in "innovative" research (Holmstrom 1989)
*TTOs obtain smaller upfront fees the more uncertain the technology being licensed is
*Universities usually do not take equity in the license

Regression of licensing outcomes

[[File:LicensingOutcomeReg.png|500px]]

*Dependent variables: royalties, sponsored research, patents (new applications), licenses executed
*Independent variables: importance of outcome to TTO, types of inventions, measure of size of university's licensing operation/potential
*Logs of all variables except indicator variables
*Probit for frequency of sponsored research
*INVDIS: number of disclosures
*TTOSIZE: number of licensing individuals
*TTOEVAL_1 = 1: if TTOs that said licenses/patents are "not very important"
*TTOEVAL_2 = 1: if TTOs that said licenses/patents are "moderately important"
*PROOF: % of licensed disclosures that were "proof of concept but no prototype"
*PTYPE: "Prototype available but only lab scale"
*MEDSCHL: 1 if med school exists
*QUAL: academic quality of faculty (1993 NRC's survey results of academic quality of Ph.D. granting departments)
*LICENSES: number of licenses executed
*SPONRES: amount of sponsored research
*SPONFREQ: frequency that sponsored research is tied to license (according to TTO)
*patent apps grow 1-to-1 with disclosures
*sponsored research grows with licenses executed
*more licenses executed at universities with large TTOs and med schools
*higher royalties with higher quality of faculty and higher fraction of licenses executed at later stages of development
*additional disclosures generate smaller % increases in licenses, which generate smaller % increases in royalties (TTOs generally effective at tapping pool of available technologies in their universities)

===Thursby, J., Fuller, Thursby, M.: US Faculty Patenting: Inside and Outside the University (2009)===

[http://www.nber.org/papers/w13256.pdf]

@article{thursby2009us,
title = "US Faculty Patenting: Inside and Outside the University",
author = "Jerry G. Thursby, Anne W. Fuller, and Marie C. Thursby",
journal={Research Policy},
volume={38},
number={1},
pages={14--25},
year={2009},
publisher={Elsevier},
abstract = {This paper examines the empirical anomaly that in a sample of 5811 patents on which US faculty are listed as inventors, 26% of the patents are assigned solely to firms rather than to the faculty member's university as is dictated by US university employment policies or the Bayh Dole Act. In this paper we estimate a series of probability models of assignment as a function of patent characteristics, university policy, and inventor fields in order to examine the extent to which outside assignment is nefarious or comes from legitimate activities, such as consulting. Patents assigned to firms (whether established or start-ups with inventor as principal) are less basic than those assigned to universities suggesting these patents result from faculty consulting. A higher inventor share increases the likelihood of university assignment as compared with assignment to a firm in which the inventor is a principal but it has no effect on consulting with established firms versus assignment to the university. Faculty in the physical sciences and engineering are more likely to assign their patents to established firms than those in biological sciences.},
filename={Thursby et al (2009) - US Faculty Patenting},
}

*only 62.4% of patents by university faculty members of 87 universities were assigned solely to universities
*identifying US university patents by institutional assignment misses significant percentage of faculty innovation in US universities
*higher inventor share increases likelihood of university assignment compared with assignment to a firm where inventor is principal
*possibilities: faculty in low share universities may be more willing to seek outside remuneration via assignment to start-up where they are principal; revenue shares may not affect startup activity but simply reduce number of inventions disclosed to university

Sources
*Faculty names from NRC
*Compared with inventor names in NBER Patent Database
*Excluded faculty who do not patent

Patent/Inventor Pairs
*MIT: 315
*Wisconsin: 232
*Stanford: 223
*UC San Diego: 216
*UC Berkeley: 207

Out of 5811 patents:
*1513 assigned solely to firms
*241 assigned to both firms and universities
*327 unassigned
*faculty are principals in assignee firms for 32.3% of patents assigned solely to firms and 24% of patents assigned to both (lower bound)

=== Valdivia: University Start-ups: Critical for Improving Technology Transfer (2013) ===

[https://www.brookings.edu/wp-content/uploads/2016/06/Valdivia_Tech-Transfer_v29_No-Embargo.pdf]

*Current emphasis on licensing patents, but most university TTOs do not generate enough to cover operating expenses
*Asymmetry in distribution of resources across the university system, only a few universities benefit from high licensing revenues
**top 8 universities took 50% of licensing income, top 16 universities took nearly 75% of income
**only 37 universities have been in the top 20 during the last decade (listed in University Patents > LicensingGrossIncome2003-2012.txt)
*Universities face much more pressure to demonstrate the economic impact of their R&D contracts
**97.6% of total public contracts obtained by universities are for basic/applied research
**2% of university research delivers ready-to-use technologies
**academic research is much more dependent on government funding than industry research is
*Government pressure for universities to be more responsive to market forces, more entrepreneurial, more attuned to needs of industry
*TTOs are costly to universities
*1979: 30 universities with TTO -> 1999: 174 universities (AUTM)
*2010: 206 US universities have very high or high research activity, all with TTOs (but not all report to AUTM) (Carnegie Classification of Higher Education)
*Over last 20 years, 87% of universities did not break even
*Clash between aims of university (non-profit) and TTO (essentially a business unit)
*By nurturing start-ups, TTOs can add most economic value to an invention disclosure
*2003: universities initiated 330 startups, 2012: 647 startups
*2012: 3715 operating university startups, almost double the number in 2000 (AUTM 2013)
*Startups mitigate financial risk by reducing reliance on blockbuster patents, increase diversification of portfolio
*Policy proposal: the government should increase funding for Small Business Technology Transfer Program (directed to university start-ups)
**H.R.2981: reapportions STTR funds at 0.05% in the next 2 years and 0.1% henceforth for university enterprises at proof of concept stage
*Should increase portion that agencies set aside for STTR
**STTR should have Phase III like SBIR to fund commercialization efforts
*Need equitable distribution across university system

=== The Bayh-Dole Act and High-Technology Entrepreneurship in U.S. Universities: Chicken, Egg, or Something Else? (2004) ===

[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.484.1612&rep=rep1&type=pdf]

==== Findings ====

* University research has an unusually significant impact on industrial innovation in the biomedical sector
* " This work also suggests that academic research rarely produces “prototypes” of inventions for development
and commercialization by industry—instead, academic research informs the methods and disciplines
employed by firms in their R&D facilities."
* The U.S. higher education system is much larger and more heterogenous than other developed countries - this encourages competition
* The passage of the Bayh-Dole Act was one part of a broader shift in U.S. policy toward stronger
intellectual property rights
* "Universities increased their share of patenting from less than 0.3% in 1963 to nearly 4% by 1999, but the rate of growth in this share begins to accelerate before rather than after 1980."
* "the Act's provisions expressed Congressional support for the negotiation of exclusive licenses between universities and industrial firms for the results of federally funded research"
* licensing revenues account for only a miniscule portion of universities' overall academic budgets
* the acceleration in growth of patenting and licensing began before the passage of the Bayh-Dole Act so this acceleration cannot be wholly attributed to the Act
* "the flow of knowledge and technology between university and industrial research is a two-way flow," despite previous characterization as wholly from academia to industry
* patents seem to be "especially important channels for technology transfer" in the biomedical sector

==== Data Sources ====
* 5 different case studies
1. Cotransformation: a process to transfer genes into mammalian cells (Columbia University).

2. Gallium Nitride: a semiconductor with both military and commercial applications (University of California).

3. Xalatan: a glaucoma treatment (Columbia University).

4. Ames II Tests: a bacteria assay for testing potential carcinogenic properties of pharmaceuticals and cosmetics (University of California).

5. Soluble CD4: a prototype for a drug to fight AIDS (Columbia University).

==== Critiques ====
* focuses on case studies as source of data

===Dornbusch, Schmoch, Schulze, Bethke: Identification of University-Based Patents: A New Large-Scale Approach (2012)===

[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.722.1368&rep=rep1&type=pdf]

Specific for German case, but certain points can help us

European convergence to US model (Bayh-Dole seen as main driver behind growing patent portfolios of US universities)

*University-owned patents (assigned to universities or their TTOs) and university-invented patents (assigned to university-affiliated authors)

Matching lists: traditional matching of lists of university staff/professors with inventor data
*time-consuming, costly, possibly not updated
*typically limited to tenured professors
*does not include Ph.D. students, assistants, lecturers

Matched authors of scientific publications and inventors on patents
*beware of homonyms

Patent data from EPO Worldwide Patent Statistical Database (PATSTAT)

Publication data from Elsevier (Scopus)

Country of origin: Inventor Country/Assignee Country/Applicant Country = Germany, Location of Organization to which author is affiliated =Germany
*Restrict dataset to authors from German organizations and inventors with residence in Germany

The organization

Names: To keep precision high, leave out names with initials only

Location: Postal/zip codes (PATSTAT provides address of inventor's residence, SCOPUS provides info for organization, 96.5% of first digit of inventor and organization postal codes are the same, 85.9% first two digits)

Time window: 2-year window between application and publication date

=== Singh A. and Wong P.K: University patenting activities and their link to the quantity and quality of scientific publications (2009) ===

[https://pdfs.semanticscholar.org/bb3a/df09ca693cdcff6c1f6aaf18113cabec2655.pdf]
==== Findings ====
* patenting by 281 leading world universities has consistently grown faster than general American patenting from 1977 - 2000
* North American university patenting growth has slowed relative to universities outside North America since the mid-1990s
* Between 2003-2005, they found that university patenting output has significant correlation with the both the quality and quantity of scientific publishing in North America
* In European and Australian universities, patenting correlated only with the quantity of scientific publishing, not with the quality
* In universities Europe, Australia, and North America, patenting correlated only with the quality of scientific publishing

==== Data Sources ====
* USPTO Patenting Data
* Shanghai Jiao Tong University's Academic Ranking of World Universities (ARWU)
* Times Higher Education Supplement's World University Ranking (WUR)
* Quantity was measured by counts of publications
* Quality was measured by citations to said publications
* the relationship between research and patenting was evaluated in two ways
** At the institutional level: patents assigned to universities
** At the individual level: patents with university researchers as the inventors

==== Critiques ====
* citations are not really a perfect measure of research quality and citations have little to do with practical use of the study (i.e. how much technological innovation is generated as a result of academic research publications)

==== Other Discoveries ====

* Study by Landry R., Amara N., and Saihi, M. (2006)
* (Owen Smith and Powell 2003) found that "organizations involved in technological commercialization tend to have higher publication rates than those who are not"
* (Lach and Schankerman 2003) found that "licensing revenues at the university level are positively influenced by publication citations per faculty"

Meghana Pannala (Work Log)

2017-03-31T17:26:13Z

Meghanapannala:

[[Category: Work Log]]

[[Meghana Pannala]] [[Work Logs]] [[Meghana Pannala (Work Log)|(log page)]]

2/8/2017:10:00AM - 12:00PM Set up RDP and personal wiki page

2/13/2017: 1:00PM - 3:00PM Starting working with Julia on the lit reviews for University Patenting

2/17/2017: 2:00PM - 5:00PM Continued with lit reviews for University Patenting

2/20/2017: 1:00PM - 3:00PM Searched assignee list to come up with Key words to search for universities

2/22/2017: 10:00AM - 12:00PM - analyzed key words to search for universities among assignee list

2/24/2017: 10:00 AM - 12:00PM - got the US restricted assignee list from Marcela to re-evaluate key words

2/27/2017: 1:00PM - 3:00 PM - finalized new list of key words to get American universities - looked for additional sources of data

3/1/2017: 10:00AM - 12:00PM - looked for additional sources of data and evaluated existing sources to explain what useful items were contained within

3/3/2017: 10:30AM - 12:00PM; 1:00PM - 4:00PM - continued looking for additional data, worked on cleaning up Carnegie classification data to restrict to what was useful for us. Calculated aggregate columns for what we need.

3/6/2017: 1:00PM - 3:00 PM - cleaned up and filtered Carnegie data and consolidated

3/22/2017: 10:00AM - 12:00PM - looked at grant data and came up with a plan to use and get counts

3/24/2017: 10:00am - 12:00PM; 1:00pm - 4:00PM - looked at patent data and came up with a consolidated list of universities with high patenting activity to use in the actual ranking

3/27/2017: 1:00PM - 3:00PM: got counts of NSF grants received
[[Category:Work Log]]

3/29/2017: 10:AM - 12:00PM: cleaned up NIH data and got counts

3/31/2017: 10:00AM - 12:30 PM: cleaned up STTR data and got counts

University Patents

2017-03-29T17:13:12Z

Meghanapannala: /* To Do */

{{McNair Projects
|Has title=University Patents
|Has owner=Julia Wang, Meghana Pannala,
|Has keywords=Patent
|Has project status=Active
}}
==Project Overview==
Goal: list of all universities and # of patents associated with each university and patent licensing activity

patent reassignment to startups associated with these universities

clinical trials (from Catherine) data to rank universities R&D engagement

identify list of universities: board of regents, universities in patent data (find patterns associated with university assignees) -- @Julia: Where did we get this list? I'd love to be able filter by country - Meghana

AUTM?

==Timeline to Deliverable==

Meghana: focus on grants
Julia: focus on patent counts

3/20-3/24

Learn SQL, clean data

3/27-3/31

Counts of data, name matching

4/3-4/7

Counts of data, name matching

4/10-4/14

Develop ranking

4/17-4/21

Editing and polishing report

==Key Words==

===Universities (Patent Assignees)===
BOARD OF REGENTS - pretty much exclusively describes universities

UNIVERSITY - also exclusively describes universities
*Can we do a close match with University? (its the only word on this list that's frequently misspelled)

SCHOOL - often used in combination with medicine or medical to describe medical schools
*also are used to describe actual schools (i.e. HISD) and other businesses
*sometimes present in addresses - can we cut off the adresses?
*also used in combination with Business (i.e. Harvard Business School)
*use school only in conjuction with medical, medicine, and business

COLLEGE
*need to cut off addresses for this to work
*need to ensure that we include the space after
*excl. College Boulevard, college blvd, etc.
*double check everything with College Park

INSTITUTE OF TECHNOLOGY - almost exclusively describes universities but sometimes describes external research institutes

POLYTECHNIC - exclusively university (i.e. RPI, Virginia Tech)

RESEARCH FOUNDATION: VAST majority are university
*Exclusions: it's really difficult to distinguish between university affiliated and not, besides just looking them up on the google
**Novartis
**Progeria
**Washington Research Foundation
**Blood Center of Wisconsins
**Mental Hygiene
**Celiac Sprue
**Fidia
**Samuel Waxman Cancer Center
***founded by a faculty member at Mt. Sinai Medical School,not affil w/a single university but researchers are also usually faculty at various universities
**lifenet
**HealthPartners
**Dr. Susan Love
**La Jolla Cancer Research Foundation
**Children's Hospital (? grants degrees but is a hospital system)
**Medforte
**International Mask
**Palo Alto Medical Foundation

====Exclusions====
*LLC
*LLP

===Technology Transfer Offices===

====Job Titles====
*Patent Portfolio Manager
*Intellectual Property Manager
*Licensing Associate/Licensing Liaison
*Biological Materials Specialist
*Industrial Contracts Officer
*Technology Licensing Officer
*Associate Officer
*Technology Licensing Associates
*Patent Coordinator/Patent Administrator
*IP Portfolio Specialist
*MTA Coordinator
*Sponsored Research Administrator
*Technology Transfer Specialist/Technology Transfer Associate
*Contracts Associate
*Portfolio Director
*Contracts Specialist
*Industry Contracts Analyst
*Patent Prosecution Analyst
*(Associate) Director of Intellectual Property
*(Associate) Director of Technology Transfer Policy
*(Associate) Director of Technology Transactions
*(Associate) Director of Agreement Administration
*Senior Associate - watch
*Patent Attorney/Patent Agent/Patent Counsel/Paralegal - watch

====TTO Names====
*Office of Technology Transfer/Technology Transfer Office
*Office of Technology Licensing/Technology Licensing Office
*Office of Technology Development
*Technology Ventures
*Innovation Services
*Intellectual Property & Industry Research Alliances
*InnovationAccess
*Invention Transfer Group
*Technology Development Group
*Office of Business Development
*Office of Technology Commercialization
*Office of Innovation and Commercialization
*Innovation, Technology & Alliances
*Technology & Industry Alliances
*Office for Management of Intellectual Property
*Innovation & Partnerships Office

===University-Affiliated Startups (Patent Assignees)===

==What to get from other people==

Avesh has clinical trial data on wiki and bulk drive (FDA Trials Data), need to build it into normal form, use clinical trials data to rank R&D engagement of universities, will be building up portfolios of different types of companies

Marcela is cleaning up patent data, has given patent assignee names -- got it! Could we filter by country and get strictly American names?

Catherine has zip codes of medical centers, use to look through patent data

==Questions==
*How innovative are universities compared to publicly-traded firms, etc.? (firms: 100 active patents at any given time)
*How do universities license?
*What does the average portfolio look like for universities? (compared to publicly traded, VC-backed, etc)
*What can explain the differences in rankings? (size, quality of universities, TTOs and quality/experience of workers - searched LinkedIns, geography, entrepreneurship programs, NIH/NSF grants)

==To Do==

*Create ranking
**Based on patent portfolio
**Licensing income
**Quality of TTO
**Publications (specifically based on research)?
**Amount received in grants/Amount of grants - we have numbers on amount of NIH grants and NSF grants
***NIH/NSF/STTR
**Control for school size/endowment
**Startups affiliated with university
***Value generated from these startups? (ask Avesh)
**Existence of entrepreneurship program
**Geography

*Describe average patent portfolio of university
**Number of patents
**Maybe categorize by research area?
*Describe how universities license
**USPTO earned revenue

Deliverable
*Ranking
*Explanation of what makes a good ranking/what factors a school needs to be more successful

Artifacts
*Grant Data
*Research Funding
*Patent Counts
*Star Scientists
*Licensing (?)

===Done===
1. lit review (look at for 1-2 days), look for holistic picture, what has/hasn’t been done? what are the questions people are asking? (DONE)

2. look at patent data, determine how to find universities in patent database: board of regents, universities in patent data (find patterns associated with university assignees) (DONE)

3. get list of patent assignees with countries attached (DONE - Marcela gave us a list of all american assignees)

===What We Have===

*List of all post-secondary institutions (University Accreditation 3.2016_trim) - U.S. Department of Education
*Classification of universities (Carnegie Classification 2015) - Carnegie Classification
** includes all accredited degree-granting colleges and universities that are included in the National Center for Education Statistics Integrated Postsecondary Education Data System (IPEDS).
** Coverage: 4666 institutions of higher learning
** Variables: includes 94 variables
*** Enrollment data - subdivided into graduate and undergraduate
*** degrees conferred - divided into level and division
*** information on faculty (number, divided into levels i.e. assistant, assoc. and full time)
**** coverage for this variable is REALLY LOW
*** non-faculty research staff (includes post docs)
*** Science and Engineering Research and Development expenditures
*** Non-STEM research and Development expenditures
*Amount spent on R&D (Higher Ed R&D Rankings) - National Science Foundation
** includes just total R&D expenditures
*STTR full data 1995-2015 (STTRData) - Small Business Administration
*University Patent Numbers 1969-2012 - USPTO
*Patents that resulted from NIH grants
*Information about NSF grants

===What We Need===

*List of university-affiliated startups
**looks like AUTM STATT data has this because it was used in a study by Yael Hochberg [https://papers.ssrn.com/sol3/papers2.cfm?abstract_id=2418000]
**[https://www.forbes.com/sites/liyanchen/2015/07/29/americas-most-entrepreneurial-research-universities-2015/#3cb9829b3823| Rankings of Research Universities (2015)]
**FORBES ranked the country’s most entrepreneurial schools based on the numbers of alumni and students who have identified themselves as founders and business owners on LinkedIn (adjusted to total student body size). This year we rank both research universities and [https://www.forbes.com/sites/liyanchen/2015/07/29/americas-most-entrepreneurial-colleges-2015/#2b2909e04604| smaller colleges] separately.
*data about TTOs (# and quality of employees)
**LinkedIn crawler: working with Jeemin and Peter
*licensing data from AUTM [http://www.autm.net/statt] or already within the patent data?

==Name Matching==
*Jeemin has found all the correct and incorrect spellings of assignees with "University"
*Julia working on "Institute"
*We have a list of Universities that have patents from NIH grants, which could be a starting point for our ranking constituents

==Lit Reviews==

===Thursby, J. & Thursby, M.: Who Is Selling the Ivory Tower? Sources of Growth in University Licensing (2002)===

[http://pubsonline.informs.org/doi/pdf/10.1287/mnsc.48.1.90.14271]

@article{thursby2002who,
title={Who Is Selling the Ivory Tower? Sources of Growth in University Licensing},
author={Thursby, Jerry G. and Thursby, Marie C.},
journal={Management Science},
volume={48},
number={1},
pages={90--104},
year={2002},
publisher={INFORMS},
filename={Thursby Thursby (2002) - Who Is Selling the Ivory Tower}
}

*Reliance of industry on university inventions has increased
**AUTM surveys show 7.1% growth in yearly inventions disclosure from 1994-1998 for 64 universities that responded every year
*Primary reason for more disclosures may be increased propensity for faculty to disclose, rather than change in research focus
*Universities becoming more receptive to industry contracts
*Negative total TFP growth of licenses executed (-1.7% annual growth) - growth in disclosures and patent applications greater than the corresponding growth in licenses executed.
**Marginal university innovation offered to the market has declined in commercial appeal
**Universities are delving more deeply into the available pool of innovations to increase commercial activities
*No evidence on the importance of learning by doing on the part of TTOs except to note negative association between TTO growth and TFP growth in licensing
**Suggests at least the possibility of learning by doing effects

'''Other literature'''

*On the role of patents and publications in the transfer process: Adams 1990, Henderson et al. 1998, and Jaffe et al. 1993
*On consulting, sponsored research or institutional ties: Cohen et al. 1998; Mansfield 1995; Zucker et al. 1994, 1998
*On the nature of university licensing: Jensen and Thursby 2001, Mowery et al. 2001a,b, Mowery et al. 2001, Siegel et al. 1999, Thursby et al. 2001, Thursby and Kemp 2001

===Thursby, J., Jensen, Thursby, M.: Objectives, Characteristics and Outcomes of University Licensing: A Survey of Major U.S. Universities (2001)===

[https://pdfs.semanticscholar.org/637f/048c05ee83eb84a914f69e087f52acea1b6c.pdf]

@article{thursby2001objectives,
title={Objectives, Characteristics and Outcomes of University Licensing: A Survey of Major U.S. Universities},
author={Thursby, Jerry G., Jensen, Richard, and Thursby, Marie C.},
journal={The Journal of Technology Transfer},
volume={26},
number={1},
pages={59--72},
year={2001},
publisher={Springer},
abstract={This paper describes results of our survey of licensing at 62 research universities. We consider ownership, income splits, stage of development, marketing, license policies and characteristics, goals of licensing and the role of the inventor in licensing. Based on these results we analyze the relationship between licensing outcomes and both the objectives of the TTO and the characteristics of the technologies. Patent applications grow one-to-one with disclosures, while sponsored research grows similarly with licenses executed. Royalties are typically larger the higher the quality of the faculty and the higher the fraction of licenses that are executed at latter stages of development. Sponsored research is more likely to be included in a license if the new technology is at an early stage of development or if the TTO evaluates it as important. We find that additional disclosures generate smaller percentage increases in licenses, and those increases in licenses generate smaller percentage increases in royalties.},
filename={Thursby et al (2001) - Objectives, Characteristics and Outcomes of University Licensing}
}

*University licensing has increased dramatically post-Bayh-Dole (1980)
**According to AUTM 1996, licenses executed increased 75% from 1991-1996, (total: 13,087)
*Survey of TTOs of 62 major US universities
**Majority of universities retain titles to inventions
**All universities split income with inventors
**Royalties generate most of the revenue of licensing

*Open question: Is the increased propensity of faculty to disclose a response to financial incentives or an increase in the effectiveness of TTOs in inducing disclosure?

Survey
*62/135 universities responded
*63% public, and 62% of public universities that responded were land-grant
*37% private
*average industry sponsored research $16.9 mil, federally sponsored $149.6 mil (1996)
*average TTO: 26.3 licenses executed, 92.3 invention disclosures, 30.1 new patent apps, $4.2 mil income (1996)
*35% of respondents had reorganized TTO since 1990
*90% of universities allow faculty to establish and operate businesses based on technology owned by university but developed in faculty's research
*Inventions disclosed: 33% med schools, 29% engineering, 22% science, 6% agriculture, 10% other
*Majority of invention disclosures in nascent stage (proof of concept - 45% or prototype - 37%)
*Patents often applied for after knowing commercial viability, licensed technologies often not protected by patents
*60% of universities said small companies more likely to take early stage technologies and large companies more likely to take late stage - small firms may have advantage in "innovative" research (Holmstrom 1989)
*TTOs obtain smaller upfront fees the more uncertain the technology being licensed is
*Universities usually do not take equity in the license

Regression of licensing outcomes

[[File:LicensingOutcomeReg.png|500px]]

*Dependent variables: royalties, sponsored research, patents (new applications), licenses executed
*Independent variables: importance of outcome to TTO, types of inventions, measure of size of university's licensing operation/potential
*Logs of all variables except indicator variables
*Probit for frequency of sponsored research
*INVDIS: number of disclosures
*TTOSIZE: number of licensing individuals
*TTOEVAL_1 = 1: if TTOs that said licenses/patents are "not very important"
*TTOEVAL_2 = 1: if TTOs that said licenses/patents are "moderately important"
*PROOF: % of licensed disclosures that were "proof of concept but no prototype"
*PTYPE: "Prototype available but only lab scale"
*MEDSCHL: 1 if med school exists
*QUAL: academic quality of faculty (1993 NRC's survey results of academic quality of Ph.D. granting departments)
*LICENSES: number of licenses executed
*SPONRES: amount of sponsored research
*SPONFREQ: frequency that sponsored research is tied to license (according to TTO)
*patent apps grow 1-to-1 with disclosures
*sponsored research grows with licenses executed
*more licenses executed at universities with large TTOs and med schools
*higher royalties with higher quality of faculty and higher fraction of licenses executed at later stages of development
*additional disclosures generate smaller % increases in licenses, which generate smaller % increases in royalties (TTOs generally effective at tapping pool of available technologies in their universities)

===Thursby, J., Fuller, Thursby, M.: US Faculty Patenting: Inside and Outside the University (2009)===

[http://www.nber.org/papers/w13256.pdf]

@article{thursby2009us,
title = "US Faculty Patenting: Inside and Outside the University",
author = "Jerry G. Thursby, Anne W. Fuller, and Marie C. Thursby",
journal={Research Policy},
volume={38},
number={1},
pages={14--25},
year={2009},
publisher={Elsevier},
abstract = {This paper examines the empirical anomaly that in a sample of 5811 patents on which US faculty are listed as inventors, 26% of the patents are assigned solely to firms rather than to the faculty member's university as is dictated by US university employment policies or the Bayh Dole Act. In this paper we estimate a series of probability models of assignment as a function of patent characteristics, university policy, and inventor fields in order to examine the extent to which outside assignment is nefarious or comes from legitimate activities, such as consulting. Patents assigned to firms (whether established or start-ups with inventor as principal) are less basic than those assigned to universities suggesting these patents result from faculty consulting. A higher inventor share increases the likelihood of university assignment as compared with assignment to a firm in which the inventor is a principal but it has no effect on consulting with established firms versus assignment to the university. Faculty in the physical sciences and engineering are more likely to assign their patents to established firms than those in biological sciences.},
filename={Thursby et al (2009) - US Faculty Patenting},
}

*only 62.4% of patents by university faculty members of 87 universities were assigned solely to universities
*identifying US university patents by institutional assignment misses significant percentage of faculty innovation in US universities
*higher inventor share increases likelihood of university assignment compared with assignment to a firm where inventor is principal
*possibilities: faculty in low share universities may be more willing to seek outside remuneration via assignment to start-up where they are principal; revenue shares may not affect startup activity but simply reduce number of inventions disclosed to university

Sources
*Faculty names from NRC
*Compared with inventor names in NBER Patent Database
*Excluded faculty who do not patent

Patent/Inventor Pairs
*MIT: 315
*Wisconsin: 232
*Stanford: 223
*UC San Diego: 216
*UC Berkeley: 207

Out of 5811 patents:
*1513 assigned solely to firms
*241 assigned to both firms and universities
*327 unassigned
*faculty are principals in assignee firms for 32.3% of patents assigned solely to firms and 24% of patents assigned to both (lower bound)

=== Valdivia: University Start-ups: Critical for Improving Technology Transfer (2013) ===

[https://www.brookings.edu/wp-content/uploads/2016/06/Valdivia_Tech-Transfer_v29_No-Embargo.pdf]

*Current emphasis on licensing patents, but most university TTOs do not generate enough to cover operating expenses
*Asymmetry in distribution of resources across the university system, only a few universities benefit from high licensing revenues
**top 8 universities took 50% of licensing income, top 16 universities took nearly 75% of income
**only 37 universities have been in the top 20 during the last decade (listed in University Patents > LicensingGrossIncome2003-2012.txt)
*Universities face much more pressure to demonstrate the economic impact of their R&D contracts
**97.6% of total public contracts obtained by universities are for basic/applied research
**2% of university research delivers ready-to-use technologies
**academic research is much more dependent on government funding than industry research is
*Government pressure for universities to be more responsive to market forces, more entrepreneurial, more attuned to needs of industry
*TTOs are costly to universities
*1979: 30 universities with TTO -> 1999: 174 universities (AUTM)
*2010: 206 US universities have very high or high research activity, all with TTOs (but not all report to AUTM) (Carnegie Classification of Higher Education)
*Over last 20 years, 87% of universities did not break even
*Clash between aims of university (non-profit) and TTO (essentially a business unit)
*By nurturing start-ups, TTOs can add most economic value to an invention disclosure
*2003: universities initiated 330 startups, 2012: 647 startups
*2012: 3715 operating university startups, almost double the number in 2000 (AUTM 2013)
*Startups mitigate financial risk by reducing reliance on blockbuster patents, increase diversification of portfolio
*Policy proposal: the government should increase funding for Small Business Technology Transfer Program (directed to university start-ups)
**H.R.2981: reapportions STTR funds at 0.05% in the next 2 years and 0.1% henceforth for university enterprises at proof of concept stage
*Should increase portion that agencies set aside for STTR
**STTR should have Phase III like SBIR to fund commercialization efforts
*Need equitable distribution across university system

=== The Bayh-Dole Act and High-Technology Entrepreneurship in U.S. Universities: Chicken, Egg, or Something Else? (2004) ===

[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.484.1612&rep=rep1&type=pdf]

==== Findings ====

* University research has an unusually significant impact on industrial innovation in the biomedical sector
* " This work also suggests that academic research rarely produces “prototypes” of inventions for development
and commercialization by industry—instead, academic research informs the methods and disciplines
employed by firms in their R&D facilities."
* The U.S. higher education system is much larger and more heterogenous than other developed countries - this encourages competition
* The passage of the Bayh-Dole Act was one part of a broader shift in U.S. policy toward stronger
intellectual property rights
* "Universities increased their share of patenting from less than 0.3% in 1963 to nearly 4% by 1999, but the rate of growth in this share begins to accelerate before rather than after 1980."
* "the Act's provisions expressed Congressional support for the negotiation of exclusive licenses between universities and industrial firms for the results of federally funded research"
* licensing revenues account for only a miniscule portion of universities' overall academic budgets
* the acceleration in growth of patenting and licensing began before the passage of the Bayh-Dole Act so this acceleration cannot be wholly attributed to the Act
* "the flow of knowledge and technology between university and industrial research is a two-way flow," despite previous characterization as wholly from academia to industry
* patents seem to be "especially important channels for technology transfer" in the biomedical sector

==== Data Sources ====
* 5 different case studies
1. Cotransformation: a process to transfer genes into mammalian cells (Columbia University).

2. Gallium Nitride: a semiconductor with both military and commercial applications (University of California).

3. Xalatan: a glaucoma treatment (Columbia University).

4. Ames II Tests: a bacteria assay for testing potential carcinogenic properties of pharmaceuticals and cosmetics (University of California).

5. Soluble CD4: a prototype for a drug to fight AIDS (Columbia University).

==== Critiques ====
* focuses on case studies as source of data

===Dornbusch, Schmoch, Schulze, Bethke: Identification of University-Based Patents: A New Large-Scale Approach (2012)===

[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.722.1368&rep=rep1&type=pdf]

Specific for German case, but certain points can help us

European convergence to US model (Bayh-Dole seen as main driver behind growing patent portfolios of US universities)

*University-owned patents (assigned to universities or their TTOs) and university-invented patents (assigned to university-affiliated authors)

Matching lists: traditional matching of lists of university staff/professors with inventor data
*time-consuming, costly, possibly not updated
*typically limited to tenured professors
*does not include Ph.D. students, assistants, lecturers

Matched authors of scientific publications and inventors on patents
*beware of homonyms

Patent data from EPO Worldwide Patent Statistical Database (PATSTAT)

Publication data from Elsevier (Scopus)

Country of origin: Inventor Country/Assignee Country/Applicant Country = Germany, Location of Organization to which author is affiliated =Germany
*Restrict dataset to authors from German organizations and inventors with residence in Germany

The organization

Names: To keep precision high, leave out names with initials only

Location: Postal/zip codes (PATSTAT provides address of inventor's residence, SCOPUS provides info for organization, 96.5% of first digit of inventor and organization postal codes are the same, 85.9% first two digits)

Time window: 2-year window between application and publication date

=== Singh A. and Wong P.K: University patenting activities and their link to the quantity and quality of scientific publications (2009) ===

[https://pdfs.semanticscholar.org/bb3a/df09ca693cdcff6c1f6aaf18113cabec2655.pdf]
==== Findings ====
* patenting by 281 leading world universities has consistently grown faster than general American patenting from 1977 - 2000
* North American university patenting growth has slowed relative to universities outside North America since the mid-1990s
* Between 2003-2005, they found that university patenting output has significant correlation with the both the quality and quantity of scientific publishing in North America
* In European and Australian universities, patenting correlated only with the quantity of scientific publishing, not with the quality
* In universities Europe, Australia, and North America, patenting correlated only with the quality of scientific publishing

==== Data Sources ====
* USPTO Patenting Data
* Shanghai Jiao Tong University's Academic Ranking of World Universities (ARWU)
* Times Higher Education Supplement's World University Ranking (WUR)
* Quantity was measured by counts of publications
* Quality was measured by citations to said publications
* the relationship between research and patenting was evaluated in two ways
** At the institutional level: patents assigned to universities
** At the individual level: patents with university researchers as the inventors

==== Critiques ====
* citations are not really a perfect measure of research quality and citations have little to do with practical use of the study (i.e. how much technological innovation is generated as a result of academic research publications)

==== Other Discoveries ====

* Study by Landry R., Amara N., and Saihi, M. (2006)
* (Owen Smith and Powell 2003) found that "organizations involved in technological commercialization tend to have higher publication rates than those who are not"
* (Lach and Schankerman 2003) found that "licensing revenues at the university level are positively influenced by publication citations per faculty"

Meghana Pannala (Work Log)

2017-03-29T15:28:28Z

Meghanapannala:

University Patents

2017-03-27T19:25:40Z

Meghanapannala: /* Name Matching */

{{McNair Projects
|Has title=University Patents
|Has owner=Julia Wang, Meghana Pannala,
|Has keywords=Patent
|Has project status=Active
}}
==Project Overview==
Goal: list of all universities and # of patents associated with each university and patent licensing activity

patent reassignment to startups associated with these universities

clinical trials (from Catherine) data to rank universities R&D engagement

identify list of universities: board of regents, universities in patent data (find patterns associated with university assignees) -- @Julia: Where did we get this list? I'd love to be able filter by country - Meghana

AUTM?

==Timeline to Deliverable==

Meghana: focus on grants
Julia: focus on patent counts

3/20-3/24

Learn SQL, clean data

3/27-3/31

Counts of data, name matching

4/3-4/7

Counts of data, name matching

4/10-4/14

Develop ranking

4/17-4/21

Editing and polishing report

==Key Words==

===Universities (Patent Assignees)===
BOARD OF REGENTS - pretty much exclusively describes universities

UNIVERSITY - also exclusively describes universities
*Can we do a close match with University? (its the only word on this list that's frequently misspelled)

SCHOOL - often used in combination with medicine or medical to describe medical schools
*also are used to describe actual schools (i.e. HISD) and other businesses
*sometimes present in addresses - can we cut off the adresses?
*also used in combination with Business (i.e. Harvard Business School)
*use school only in conjuction with medical, medicine, and business

COLLEGE
*need to cut off addresses for this to work
*need to ensure that we include the space after
*excl. College Boulevard, college blvd, etc.
*double check everything with College Park

INSTITUTE OF TECHNOLOGY - almost exclusively describes universities but sometimes describes external research institutes

POLYTECHNIC - exclusively university (i.e. RPI, Virginia Tech)

RESEARCH FOUNDATION: VAST majority are university
*Exclusions: it's really difficult to distinguish between university affiliated and not, besides just looking them up on the google
**Novartis
**Progeria
**Washington Research Foundation
**Blood Center of Wisconsins
**Mental Hygiene
**Celiac Sprue
**Fidia
**Samuel Waxman Cancer Center
***founded by a faculty member at Mt. Sinai Medical School,not affil w/a single university but researchers are also usually faculty at various universities
**lifenet
**HealthPartners
**Dr. Susan Love
**La Jolla Cancer Research Foundation
**Children's Hospital (? grants degrees but is a hospital system)
**Medforte
**International Mask
**Palo Alto Medical Foundation

====Exclusions====
*LLC
*LLP

===Technology Transfer Offices===

====Job Titles====
*Patent Portfolio Manager
*Intellectual Property Manager
*Licensing Associate/Licensing Liaison
*Biological Materials Specialist
*Industrial Contracts Officer
*Technology Licensing Officer
*Associate Officer
*Technology Licensing Associates
*Patent Coordinator/Patent Administrator
*IP Portfolio Specialist
*MTA Coordinator
*Sponsored Research Administrator
*Technology Transfer Specialist/Technology Transfer Associate
*Contracts Associate
*Portfolio Director
*Contracts Specialist
*Industry Contracts Analyst
*Patent Prosecution Analyst
*(Associate) Director of Intellectual Property
*(Associate) Director of Technology Transfer Policy
*(Associate) Director of Technology Transactions
*(Associate) Director of Agreement Administration
*Senior Associate - watch
*Patent Attorney/Patent Agent/Patent Counsel/Paralegal - watch

====TTO Names====
*Office of Technology Transfer/Technology Transfer Office
*Office of Technology Licensing/Technology Licensing Office
*Office of Technology Development
*Technology Ventures
*Innovation Services
*Intellectual Property & Industry Research Alliances
*InnovationAccess
*Invention Transfer Group
*Technology Development Group
*Office of Business Development
*Office of Technology Commercialization
*Office of Innovation and Commercialization
*Innovation, Technology & Alliances
*Technology & Industry Alliances
*Office for Management of Intellectual Property
*Innovation & Partnerships Office

===University-Affiliated Startups (Patent Assignees)===

==What to get from other people==

Avesh has clinical trial data on wiki and bulk drive (FDA Trials Data), need to build it into normal form, use clinical trials data to rank R&D engagement of universities, will be building up portfolios of different types of companies

Marcela is cleaning up patent data, has given patent assignee names -- got it! Could we filter by country and get strictly American names?

Catherine has zip codes of medical centers, use to look through patent data

==Questions==
*How innovative are universities compared to publicly-traded firms, etc.? (firms: 100 active patents at any given time)
*How do universities license?
*What does the average portfolio look like for universities? (compared to publicly traded, VC-backed, etc)
*What can explain the differences in rankings? (size, quality of universities, TTOs and quality/experience of workers - searched LinkedIns, geography, entrepreneurship programs, NIH/NSF grants)

==To Do==

*Create ranking
**Based on patent portfolio
**Licensing income
**Quality of TTO
**Publications (specifically based on research)?
**Amount received in grants/Amount of grants
***NIH/NSF/STTR
**Control for school size/endowment
**Startups affiliated with university
***Value generated from these startups? (ask Avesh)
**Existence of entrepreneurship program
**Geography

*Describe average patent portfolio of university
**Number of patents
**Maybe categorize by research area?
*Describe how universities license
**USPTO earned revenue

Deliverable
*Ranking
*Explanation of what makes a good ranking/what factors a school needs to be more successful

Artifacts
*Grant Data
*Research Funding
*Patent Counts
*Star Scientists
*Licensing (?)

===Done===
1. lit review (look at for 1-2 days), look for holistic picture, what has/hasn’t been done? what are the questions people are asking? (DONE)

2. look at patent data, determine how to find universities in patent database: board of regents, universities in patent data (find patterns associated with university assignees) (DONE)

3. get list of patent assignees with countries attached (DONE - Marcela gave us a list of all american assignees)

===What We Have===

*List of all post-secondary institutions (University Accreditation 3.2016_trim) - U.S. Department of Education
*Classification of universities (Carnegie Classification 2015) - Carnegie Classification
** includes all accredited degree-granting colleges and universities that are included in the National Center for Education Statistics Integrated Postsecondary Education Data System (IPEDS).
** Coverage: 4666 institutions of higher learning
** Variables: includes 94 variables
*** Enrollment data - subdivided into graduate and undergraduate
*** degrees conferred - divided into level and division
*** information on faculty (number, divided into levels i.e. assistant, assoc. and full time)
**** coverage for this variable is REALLY LOW
*** non-faculty research staff (includes post docs)
*** Science and Engineering Research and Development expenditures
*** Non-STEM research and Development expenditures
*Amount spent on R&D (Higher Ed R&D Rankings) - National Science Foundation
** includes just total R&D expenditures
*STTR full data 1995-2015 (STTRData) - Small Business Administration
*University Patent Numbers 1969-2012 - USPTO
*Patents that resulted from NIH grants
*Information about NSF grants

===What We Need===

*List of university-affiliated startups
**looks like AUTM STATT data has this because it was used in a study by Yael Hochberg [https://papers.ssrn.com/sol3/papers2.cfm?abstract_id=2418000]
**[https://www.forbes.com/sites/liyanchen/2015/07/29/americas-most-entrepreneurial-research-universities-2015/#3cb9829b3823| Rankings of Research Universities (2015)]
**FORBES ranked the country’s most entrepreneurial schools based on the numbers of alumni and students who have identified themselves as founders and business owners on LinkedIn (adjusted to total student body size). This year we rank both research universities and [https://www.forbes.com/sites/liyanchen/2015/07/29/americas-most-entrepreneurial-colleges-2015/#2b2909e04604| smaller colleges] separately.
*data about TTOs (# and quality of employees)
**LinkedIn crawler: working with Jeemin and Peter
*licensing data from AUTM [http://www.autm.net/statt] or already within the patent data?

==Name Matching==
*Jeemin has found all the correct and incorrect spellings of assignees with "University"
*Julia working on "Institute"
*We have a list of Universities that have patents from NIH grants, which could be a starting point for our ranking constituents

==Lit Reviews==

===Thursby, J. & Thursby, M.: Who Is Selling the Ivory Tower? Sources of Growth in University Licensing (2002)===

[http://pubsonline.informs.org/doi/pdf/10.1287/mnsc.48.1.90.14271]

@article{thursby2002who,
title={Who Is Selling the Ivory Tower? Sources of Growth in University Licensing},
author={Thursby, Jerry G. and Thursby, Marie C.},
journal={Management Science},
volume={48},
number={1},
pages={90--104},
year={2002},
publisher={INFORMS},
filename={Thursby Thursby (2002) - Who Is Selling the Ivory Tower}
}

*Reliance of industry on university inventions has increased
**AUTM surveys show 7.1% growth in yearly inventions disclosure from 1994-1998 for 64 universities that responded every year
*Primary reason for more disclosures may be increased propensity for faculty to disclose, rather than change in research focus
*Universities becoming more receptive to industry contracts
*Negative total TFP growth of licenses executed (-1.7% annual growth) - growth in disclosures and patent applications greater than the corresponding growth in licenses executed.
**Marginal university innovation offered to the market has declined in commercial appeal
**Universities are delving more deeply into the available pool of innovations to increase commercial activities
*No evidence on the importance of learning by doing on the part of TTOs except to note negative association between TTO growth and TFP growth in licensing
**Suggests at least the possibility of learning by doing effects

'''Other literature'''

*On the role of patents and publications in the transfer process: Adams 1990, Henderson et al. 1998, and Jaffe et al. 1993
*On consulting, sponsored research or institutional ties: Cohen et al. 1998; Mansfield 1995; Zucker et al. 1994, 1998
*On the nature of university licensing: Jensen and Thursby 2001, Mowery et al. 2001a,b, Mowery et al. 2001, Siegel et al. 1999, Thursby et al. 2001, Thursby and Kemp 2001

===Thursby, J., Jensen, Thursby, M.: Objectives, Characteristics and Outcomes of University Licensing: A Survey of Major U.S. Universities (2001)===

[https://pdfs.semanticscholar.org/637f/048c05ee83eb84a914f69e087f52acea1b6c.pdf]

@article{thursby2001objectives,
title={Objectives, Characteristics and Outcomes of University Licensing: A Survey of Major U.S. Universities},
author={Thursby, Jerry G., Jensen, Richard, and Thursby, Marie C.},
journal={The Journal of Technology Transfer},
volume={26},
number={1},
pages={59--72},
year={2001},
publisher={Springer},
abstract={This paper describes results of our survey of licensing at 62 research universities. We consider ownership, income splits, stage of development, marketing, license policies and characteristics, goals of licensing and the role of the inventor in licensing. Based on these results we analyze the relationship between licensing outcomes and both the objectives of the TTO and the characteristics of the technologies. Patent applications grow one-to-one with disclosures, while sponsored research grows similarly with licenses executed. Royalties are typically larger the higher the quality of the faculty and the higher the fraction of licenses that are executed at latter stages of development. Sponsored research is more likely to be included in a license if the new technology is at an early stage of development or if the TTO evaluates it as important. We find that additional disclosures generate smaller percentage increases in licenses, and those increases in licenses generate smaller percentage increases in royalties.},
filename={Thursby et al (2001) - Objectives, Characteristics and Outcomes of University Licensing}
}

*University licensing has increased dramatically post-Bayh-Dole (1980)
**According to AUTM 1996, licenses executed increased 75% from 1991-1996, (total: 13,087)
*Survey of TTOs of 62 major US universities
**Majority of universities retain titles to inventions
**All universities split income with inventors
**Royalties generate most of the revenue of licensing

*Open question: Is the increased propensity of faculty to disclose a response to financial incentives or an increase in the effectiveness of TTOs in inducing disclosure?

Survey
*62/135 universities responded
*63% public, and 62% of public universities that responded were land-grant
*37% private
*average industry sponsored research $16.9 mil, federally sponsored $149.6 mil (1996)
*average TTO: 26.3 licenses executed, 92.3 invention disclosures, 30.1 new patent apps, $4.2 mil income (1996)
*35% of respondents had reorganized TTO since 1990
*90% of universities allow faculty to establish and operate businesses based on technology owned by university but developed in faculty's research
*Inventions disclosed: 33% med schools, 29% engineering, 22% science, 6% agriculture, 10% other
*Majority of invention disclosures in nascent stage (proof of concept - 45% or prototype - 37%)
*Patents often applied for after knowing commercial viability, licensed technologies often not protected by patents
*60% of universities said small companies more likely to take early stage technologies and large companies more likely to take late stage - small firms may have advantage in "innovative" research (Holmstrom 1989)
*TTOs obtain smaller upfront fees the more uncertain the technology being licensed is
*Universities usually do not take equity in the license

Regression of licensing outcomes

[[File:LicensingOutcomeReg.png|500px]]

*Dependent variables: royalties, sponsored research, patents (new applications), licenses executed
*Independent variables: importance of outcome to TTO, types of inventions, measure of size of university's licensing operation/potential
*Logs of all variables except indicator variables
*Probit for frequency of sponsored research
*INVDIS: number of disclosures
*TTOSIZE: number of licensing individuals
*TTOEVAL_1 = 1: if TTOs that said licenses/patents are "not very important"
*TTOEVAL_2 = 1: if TTOs that said licenses/patents are "moderately important"
*PROOF: % of licensed disclosures that were "proof of concept but no prototype"
*PTYPE: "Prototype available but only lab scale"
*MEDSCHL: 1 if med school exists
*QUAL: academic quality of faculty (1993 NRC's survey results of academic quality of Ph.D. granting departments)
*LICENSES: number of licenses executed
*SPONRES: amount of sponsored research
*SPONFREQ: frequency that sponsored research is tied to license (according to TTO)
*patent apps grow 1-to-1 with disclosures
*sponsored research grows with licenses executed
*more licenses executed at universities with large TTOs and med schools
*higher royalties with higher quality of faculty and higher fraction of licenses executed at later stages of development
*additional disclosures generate smaller % increases in licenses, which generate smaller % increases in royalties (TTOs generally effective at tapping pool of available technologies in their universities)

===Thursby, J., Fuller, Thursby, M.: US Faculty Patenting: Inside and Outside the University (2009)===

[http://www.nber.org/papers/w13256.pdf]

@article{thursby2009us,
title = "US Faculty Patenting: Inside and Outside the University",
author = "Jerry G. Thursby, Anne W. Fuller, and Marie C. Thursby",
journal={Research Policy},
volume={38},
number={1},
pages={14--25},
year={2009},
publisher={Elsevier},
abstract = {This paper examines the empirical anomaly that in a sample of 5811 patents on which US faculty are listed as inventors, 26% of the patents are assigned solely to firms rather than to the faculty member's university as is dictated by US university employment policies or the Bayh Dole Act. In this paper we estimate a series of probability models of assignment as a function of patent characteristics, university policy, and inventor fields in order to examine the extent to which outside assignment is nefarious or comes from legitimate activities, such as consulting. Patents assigned to firms (whether established or start-ups with inventor as principal) are less basic than those assigned to universities suggesting these patents result from faculty consulting. A higher inventor share increases the likelihood of university assignment as compared with assignment to a firm in which the inventor is a principal but it has no effect on consulting with established firms versus assignment to the university. Faculty in the physical sciences and engineering are more likely to assign their patents to established firms than those in biological sciences.},
filename={Thursby et al (2009) - US Faculty Patenting},
}

*only 62.4% of patents by university faculty members of 87 universities were assigned solely to universities
*identifying US university patents by institutional assignment misses significant percentage of faculty innovation in US universities
*higher inventor share increases likelihood of university assignment compared with assignment to a firm where inventor is principal
*possibilities: faculty in low share universities may be more willing to seek outside remuneration via assignment to start-up where they are principal; revenue shares may not affect startup activity but simply reduce number of inventions disclosed to university

Sources
*Faculty names from NRC
*Compared with inventor names in NBER Patent Database
*Excluded faculty who do not patent

Patent/Inventor Pairs
*MIT: 315
*Wisconsin: 232
*Stanford: 223
*UC San Diego: 216
*UC Berkeley: 207

Out of 5811 patents:
*1513 assigned solely to firms
*241 assigned to both firms and universities
*327 unassigned
*faculty are principals in assignee firms for 32.3% of patents assigned solely to firms and 24% of patents assigned to both (lower bound)

=== Valdivia: University Start-ups: Critical for Improving Technology Transfer (2013) ===

[https://www.brookings.edu/wp-content/uploads/2016/06/Valdivia_Tech-Transfer_v29_No-Embargo.pdf]

*Current emphasis on licensing patents, but most university TTOs do not generate enough to cover operating expenses
*Asymmetry in distribution of resources across the university system, only a few universities benefit from high licensing revenues
**top 8 universities took 50% of licensing income, top 16 universities took nearly 75% of income
**only 37 universities have been in the top 20 during the last decade (listed in University Patents > LicensingGrossIncome2003-2012.txt)
*Universities face much more pressure to demonstrate the economic impact of their R&D contracts
**97.6% of total public contracts obtained by universities are for basic/applied research
**2% of university research delivers ready-to-use technologies
**academic research is much more dependent on government funding than industry research is
*Government pressure for universities to be more responsive to market forces, more entrepreneurial, more attuned to needs of industry
*TTOs are costly to universities
*1979: 30 universities with TTO -> 1999: 174 universities (AUTM)
*2010: 206 US universities have very high or high research activity, all with TTOs (but not all report to AUTM) (Carnegie Classification of Higher Education)
*Over last 20 years, 87% of universities did not break even
*Clash between aims of university (non-profit) and TTO (essentially a business unit)
*By nurturing start-ups, TTOs can add most economic value to an invention disclosure
*2003: universities initiated 330 startups, 2012: 647 startups
*2012: 3715 operating university startups, almost double the number in 2000 (AUTM 2013)
*Startups mitigate financial risk by reducing reliance on blockbuster patents, increase diversification of portfolio
*Policy proposal: the government should increase funding for Small Business Technology Transfer Program (directed to university start-ups)
**H.R.2981: reapportions STTR funds at 0.05% in the next 2 years and 0.1% henceforth for university enterprises at proof of concept stage
*Should increase portion that agencies set aside for STTR
**STTR should have Phase III like SBIR to fund commercialization efforts
*Need equitable distribution across university system

=== The Bayh-Dole Act and High-Technology Entrepreneurship in U.S. Universities: Chicken, Egg, or Something Else? (2004) ===

[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.484.1612&rep=rep1&type=pdf]

==== Findings ====

* University research has an unusually significant impact on industrial innovation in the biomedical sector
* " This work also suggests that academic research rarely produces “prototypes” of inventions for development
and commercialization by industry—instead, academic research informs the methods and disciplines
employed by firms in their R&D facilities."
* The U.S. higher education system is much larger and more heterogenous than other developed countries - this encourages competition
* The passage of the Bayh-Dole Act was one part of a broader shift in U.S. policy toward stronger
intellectual property rights
* "Universities increased their share of patenting from less than 0.3% in 1963 to nearly 4% by 1999, but the rate of growth in this share begins to accelerate before rather than after 1980."
* "the Act's provisions expressed Congressional support for the negotiation of exclusive licenses between universities and industrial firms for the results of federally funded research"
* licensing revenues account for only a miniscule portion of universities' overall academic budgets
* the acceleration in growth of patenting and licensing began before the passage of the Bayh-Dole Act so this acceleration cannot be wholly attributed to the Act
* "the flow of knowledge and technology between university and industrial research is a two-way flow," despite previous characterization as wholly from academia to industry
* patents seem to be "especially important channels for technology transfer" in the biomedical sector

==== Data Sources ====
* 5 different case studies
1. Cotransformation: a process to transfer genes into mammalian cells (Columbia University).

2. Gallium Nitride: a semiconductor with both military and commercial applications (University of California).

3. Xalatan: a glaucoma treatment (Columbia University).

4. Ames II Tests: a bacteria assay for testing potential carcinogenic properties of pharmaceuticals and cosmetics (University of California).

5. Soluble CD4: a prototype for a drug to fight AIDS (Columbia University).

==== Critiques ====
* focuses on case studies as source of data

===Dornbusch, Schmoch, Schulze, Bethke: Identification of University-Based Patents: A New Large-Scale Approach (2012)===

[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.722.1368&rep=rep1&type=pdf]

Specific for German case, but certain points can help us

European convergence to US model (Bayh-Dole seen as main driver behind growing patent portfolios of US universities)

*University-owned patents (assigned to universities or their TTOs) and university-invented patents (assigned to university-affiliated authors)

Matching lists: traditional matching of lists of university staff/professors with inventor data
*time-consuming, costly, possibly not updated
*typically limited to tenured professors
*does not include Ph.D. students, assistants, lecturers

Matched authors of scientific publications and inventors on patents
*beware of homonyms

Patent data from EPO Worldwide Patent Statistical Database (PATSTAT)

Publication data from Elsevier (Scopus)

Country of origin: Inventor Country/Assignee Country/Applicant Country = Germany, Location of Organization to which author is affiliated =Germany
*Restrict dataset to authors from German organizations and inventors with residence in Germany

The organization

Names: To keep precision high, leave out names with initials only

Location: Postal/zip codes (PATSTAT provides address of inventor's residence, SCOPUS provides info for organization, 96.5% of first digit of inventor and organization postal codes are the same, 85.9% first two digits)

Time window: 2-year window between application and publication date

=== Singh A. and Wong P.K: University patenting activities and their link to the quantity and quality of scientific publications (2009) ===

[https://pdfs.semanticscholar.org/bb3a/df09ca693cdcff6c1f6aaf18113cabec2655.pdf]
==== Findings ====
* patenting by 281 leading world universities has consistently grown faster than general American patenting from 1977 - 2000
* North American university patenting growth has slowed relative to universities outside North America since the mid-1990s
* Between 2003-2005, they found that university patenting output has significant correlation with the both the quality and quantity of scientific publishing in North America
* In European and Australian universities, patenting correlated only with the quantity of scientific publishing, not with the quality
* In universities Europe, Australia, and North America, patenting correlated only with the quality of scientific publishing

==== Data Sources ====
* USPTO Patenting Data
* Shanghai Jiao Tong University's Academic Ranking of World Universities (ARWU)
* Times Higher Education Supplement's World University Ranking (WUR)
* Quantity was measured by counts of publications
* Quality was measured by citations to said publications
* the relationship between research and patenting was evaluated in two ways
** At the institutional level: patents assigned to universities
** At the individual level: patents with university researchers as the inventors

==== Critiques ====
* citations are not really a perfect measure of research quality and citations have little to do with practical use of the study (i.e. how much technological innovation is generated as a result of academic research publications)

==== Other Discoveries ====

* Study by Landry R., Amara N., and Saihi, M. (2006)
* (Owen Smith and Powell 2003) found that "organizations involved in technological commercialization tend to have higher publication rates than those who are not"
* (Lach and Schankerman 2003) found that "licensing revenues at the university level are positively influenced by publication citations per faculty"

University Patents

2017-03-27T19:25:11Z

Meghanapannala: /* Name Matching */

{{McNair Projects
|Has title=University Patents
|Has owner=Julia Wang, Meghana Pannala,
|Has keywords=Patent
|Has project status=Active
}}
==Project Overview==
Goal: list of all universities and # of patents associated with each university and patent licensing activity

patent reassignment to startups associated with these universities

clinical trials (from Catherine) data to rank universities R&D engagement

identify list of universities: board of regents, universities in patent data (find patterns associated with university assignees) -- @Julia: Where did we get this list? I'd love to be able filter by country - Meghana

AUTM?

==Timeline to Deliverable==

Meghana: focus on grants
Julia: focus on patent counts

3/20-3/24

Learn SQL, clean data

3/27-3/31

Counts of data, name matching

4/3-4/7

Counts of data, name matching

4/10-4/14

Develop ranking

4/17-4/21

Editing and polishing report

==Key Words==

===Universities (Patent Assignees)===
BOARD OF REGENTS - pretty much exclusively describes universities

UNIVERSITY - also exclusively describes universities
*Can we do a close match with University? (its the only word on this list that's frequently misspelled)

SCHOOL - often used in combination with medicine or medical to describe medical schools
*also are used to describe actual schools (i.e. HISD) and other businesses
*sometimes present in addresses - can we cut off the adresses?
*also used in combination with Business (i.e. Harvard Business School)
*use school only in conjuction with medical, medicine, and business

COLLEGE
*need to cut off addresses for this to work
*need to ensure that we include the space after
*excl. College Boulevard, college blvd, etc.
*double check everything with College Park

INSTITUTE OF TECHNOLOGY - almost exclusively describes universities but sometimes describes external research institutes

POLYTECHNIC - exclusively university (i.e. RPI, Virginia Tech)

RESEARCH FOUNDATION: VAST majority are university
*Exclusions: it's really difficult to distinguish between university affiliated and not, besides just looking them up on the google
**Novartis
**Progeria
**Washington Research Foundation
**Blood Center of Wisconsins
**Mental Hygiene
**Celiac Sprue
**Fidia
**Samuel Waxman Cancer Center
***founded by a faculty member at Mt. Sinai Medical School,not affil w/a single university but researchers are also usually faculty at various universities
**lifenet
**HealthPartners
**Dr. Susan Love
**La Jolla Cancer Research Foundation
**Children's Hospital (? grants degrees but is a hospital system)
**Medforte
**International Mask
**Palo Alto Medical Foundation

====Exclusions====
*LLC
*LLP

===Technology Transfer Offices===

====Job Titles====
*Patent Portfolio Manager
*Intellectual Property Manager
*Licensing Associate/Licensing Liaison
*Biological Materials Specialist
*Industrial Contracts Officer
*Technology Licensing Officer
*Associate Officer
*Technology Licensing Associates
*Patent Coordinator/Patent Administrator
*IP Portfolio Specialist
*MTA Coordinator
*Sponsored Research Administrator
*Technology Transfer Specialist/Technology Transfer Associate
*Contracts Associate
*Portfolio Director
*Contracts Specialist
*Industry Contracts Analyst
*Patent Prosecution Analyst
*(Associate) Director of Intellectual Property
*(Associate) Director of Technology Transfer Policy
*(Associate) Director of Technology Transactions
*(Associate) Director of Agreement Administration
*Senior Associate - watch
*Patent Attorney/Patent Agent/Patent Counsel/Paralegal - watch

====TTO Names====
*Office of Technology Transfer/Technology Transfer Office
*Office of Technology Licensing/Technology Licensing Office
*Office of Technology Development
*Technology Ventures
*Innovation Services
*Intellectual Property & Industry Research Alliances
*InnovationAccess
*Invention Transfer Group
*Technology Development Group
*Office of Business Development
*Office of Technology Commercialization
*Office of Innovation and Commercialization
*Innovation, Technology & Alliances
*Technology & Industry Alliances
*Office for Management of Intellectual Property
*Innovation & Partnerships Office

===University-Affiliated Startups (Patent Assignees)===

==What to get from other people==

Avesh has clinical trial data on wiki and bulk drive (FDA Trials Data), need to build it into normal form, use clinical trials data to rank R&D engagement of universities, will be building up portfolios of different types of companies

Marcela is cleaning up patent data, has given patent assignee names -- got it! Could we filter by country and get strictly American names?

Catherine has zip codes of medical centers, use to look through patent data

==Questions==
*How innovative are universities compared to publicly-traded firms, etc.? (firms: 100 active patents at any given time)
*How do universities license?
*What does the average portfolio look like for universities? (compared to publicly traded, VC-backed, etc)
*What can explain the differences in rankings? (size, quality of universities, TTOs and quality/experience of workers - searched LinkedIns, geography, entrepreneurship programs, NIH/NSF grants)

==To Do==

*Create ranking
**Based on patent portfolio
**Licensing income
**Quality of TTO
**Publications (specifically based on research)?
**Amount received in grants/Amount of grants
***NIH/NSF/STTR
**Control for school size/endowment
**Startups affiliated with university
***Value generated from these startups? (ask Avesh)
**Existence of entrepreneurship program
**Geography

*Describe average patent portfolio of university
**Number of patents
**Maybe categorize by research area?
*Describe how universities license
**USPTO earned revenue

Deliverable
*Ranking
*Explanation of what makes a good ranking/what factors a school needs to be more successful

Artifacts
*Grant Data
*Research Funding
*Patent Counts
*Star Scientists
*Licensing (?)

===Done===
1. lit review (look at for 1-2 days), look for holistic picture, what has/hasn’t been done? what are the questions people are asking? (DONE)

2. look at patent data, determine how to find universities in patent database: board of regents, universities in patent data (find patterns associated with university assignees) (DONE)

3. get list of patent assignees with countries attached (DONE - Marcela gave us a list of all american assignees)

===What We Have===

*List of all post-secondary institutions (University Accreditation 3.2016_trim) - U.S. Department of Education
*Classification of universities (Carnegie Classification 2015) - Carnegie Classification
** includes all accredited degree-granting colleges and universities that are included in the National Center for Education Statistics Integrated Postsecondary Education Data System (IPEDS).
** Coverage: 4666 institutions of higher learning
** Variables: includes 94 variables
*** Enrollment data - subdivided into graduate and undergraduate
*** degrees conferred - divided into level and division
*** information on faculty (number, divided into levels i.e. assistant, assoc. and full time)
**** coverage for this variable is REALLY LOW
*** non-faculty research staff (includes post docs)
*** Science and Engineering Research and Development expenditures
*** Non-STEM research and Development expenditures
*Amount spent on R&D (Higher Ed R&D Rankings) - National Science Foundation
** includes just total R&D expenditures
*STTR full data 1995-2015 (STTRData) - Small Business Administration
*University Patent Numbers 1969-2012 - USPTO
*Patents that resulted from NIH grants
*Information about NSF grants

===What We Need===

*List of university-affiliated startups
**looks like AUTM STATT data has this because it was used in a study by Yael Hochberg [https://papers.ssrn.com/sol3/papers2.cfm?abstract_id=2418000]
**[https://www.forbes.com/sites/liyanchen/2015/07/29/americas-most-entrepreneurial-research-universities-2015/#3cb9829b3823| Rankings of Research Universities (2015)]
**FORBES ranked the country’s most entrepreneurial schools based on the numbers of alumni and students who have identified themselves as founders and business owners on LinkedIn (adjusted to total student body size). This year we rank both research universities and [https://www.forbes.com/sites/liyanchen/2015/07/29/americas-most-entrepreneurial-colleges-2015/#2b2909e04604| smaller colleges] separately.
*data about TTOs (# and quality of employees)
**LinkedIn crawler: working with Jeemin and Peter
*licensing data from AUTM [http://www.autm.net/statt] or already within the patent data?

==Name Matching==
*Jeemin has found all the correct and incorrect spellings of assignees with "University"
*Julia working on "Institute"
*We have a list of Universities that are NIH grant recipients, which could be a starting point for our ranking constituents

==Lit Reviews==

===Thursby, J. & Thursby, M.: Who Is Selling the Ivory Tower? Sources of Growth in University Licensing (2002)===

[http://pubsonline.informs.org/doi/pdf/10.1287/mnsc.48.1.90.14271]

@article{thursby2002who,
title={Who Is Selling the Ivory Tower? Sources of Growth in University Licensing},
author={Thursby, Jerry G. and Thursby, Marie C.},
journal={Management Science},
volume={48},
number={1},
pages={90--104},
year={2002},
publisher={INFORMS},
filename={Thursby Thursby (2002) - Who Is Selling the Ivory Tower}
}

*Reliance of industry on university inventions has increased
**AUTM surveys show 7.1% growth in yearly inventions disclosure from 1994-1998 for 64 universities that responded every year
*Primary reason for more disclosures may be increased propensity for faculty to disclose, rather than change in research focus
*Universities becoming more receptive to industry contracts
*Negative total TFP growth of licenses executed (-1.7% annual growth) - growth in disclosures and patent applications greater than the corresponding growth in licenses executed.
**Marginal university innovation offered to the market has declined in commercial appeal
**Universities are delving more deeply into the available pool of innovations to increase commercial activities
*No evidence on the importance of learning by doing on the part of TTOs except to note negative association between TTO growth and TFP growth in licensing
**Suggests at least the possibility of learning by doing effects

'''Other literature'''

*On the role of patents and publications in the transfer process: Adams 1990, Henderson et al. 1998, and Jaffe et al. 1993
*On consulting, sponsored research or institutional ties: Cohen et al. 1998; Mansfield 1995; Zucker et al. 1994, 1998
*On the nature of university licensing: Jensen and Thursby 2001, Mowery et al. 2001a,b, Mowery et al. 2001, Siegel et al. 1999, Thursby et al. 2001, Thursby and Kemp 2001

===Thursby, J., Jensen, Thursby, M.: Objectives, Characteristics and Outcomes of University Licensing: A Survey of Major U.S. Universities (2001)===

[https://pdfs.semanticscholar.org/637f/048c05ee83eb84a914f69e087f52acea1b6c.pdf]

@article{thursby2001objectives,
title={Objectives, Characteristics and Outcomes of University Licensing: A Survey of Major U.S. Universities},
author={Thursby, Jerry G., Jensen, Richard, and Thursby, Marie C.},
journal={The Journal of Technology Transfer},
volume={26},
number={1},
pages={59--72},
year={2001},
publisher={Springer},
abstract={This paper describes results of our survey of licensing at 62 research universities. We consider ownership, income splits, stage of development, marketing, license policies and characteristics, goals of licensing and the role of the inventor in licensing. Based on these results we analyze the relationship between licensing outcomes and both the objectives of the TTO and the characteristics of the technologies. Patent applications grow one-to-one with disclosures, while sponsored research grows similarly with licenses executed. Royalties are typically larger the higher the quality of the faculty and the higher the fraction of licenses that are executed at latter stages of development. Sponsored research is more likely to be included in a license if the new technology is at an early stage of development or if the TTO evaluates it as important. We find that additional disclosures generate smaller percentage increases in licenses, and those increases in licenses generate smaller percentage increases in royalties.},
filename={Thursby et al (2001) - Objectives, Characteristics and Outcomes of University Licensing}
}

*University licensing has increased dramatically post-Bayh-Dole (1980)
**According to AUTM 1996, licenses executed increased 75% from 1991-1996, (total: 13,087)
*Survey of TTOs of 62 major US universities
**Majority of universities retain titles to inventions
**All universities split income with inventors
**Royalties generate most of the revenue of licensing

*Open question: Is the increased propensity of faculty to disclose a response to financial incentives or an increase in the effectiveness of TTOs in inducing disclosure?

Survey
*62/135 universities responded
*63% public, and 62% of public universities that responded were land-grant
*37% private
*average industry sponsored research $16.9 mil, federally sponsored $149.6 mil (1996)
*average TTO: 26.3 licenses executed, 92.3 invention disclosures, 30.1 new patent apps, $4.2 mil income (1996)
*35% of respondents had reorganized TTO since 1990
*90% of universities allow faculty to establish and operate businesses based on technology owned by university but developed in faculty's research
*Inventions disclosed: 33% med schools, 29% engineering, 22% science, 6% agriculture, 10% other
*Majority of invention disclosures in nascent stage (proof of concept - 45% or prototype - 37%)
*Patents often applied for after knowing commercial viability, licensed technologies often not protected by patents
*60% of universities said small companies more likely to take early stage technologies and large companies more likely to take late stage - small firms may have advantage in "innovative" research (Holmstrom 1989)
*TTOs obtain smaller upfront fees the more uncertain the technology being licensed is
*Universities usually do not take equity in the license

Regression of licensing outcomes

[[File:LicensingOutcomeReg.png|500px]]

*Dependent variables: royalties, sponsored research, patents (new applications), licenses executed
*Independent variables: importance of outcome to TTO, types of inventions, measure of size of university's licensing operation/potential
*Logs of all variables except indicator variables
*Probit for frequency of sponsored research
*INVDIS: number of disclosures
*TTOSIZE: number of licensing individuals
*TTOEVAL_1 = 1: if TTOs that said licenses/patents are "not very important"
*TTOEVAL_2 = 1: if TTOs that said licenses/patents are "moderately important"
*PROOF: % of licensed disclosures that were "proof of concept but no prototype"
*PTYPE: "Prototype available but only lab scale"
*MEDSCHL: 1 if med school exists
*QUAL: academic quality of faculty (1993 NRC's survey results of academic quality of Ph.D. granting departments)
*LICENSES: number of licenses executed
*SPONRES: amount of sponsored research
*SPONFREQ: frequency that sponsored research is tied to license (according to TTO)
*patent apps grow 1-to-1 with disclosures
*sponsored research grows with licenses executed
*more licenses executed at universities with large TTOs and med schools
*higher royalties with higher quality of faculty and higher fraction of licenses executed at later stages of development
*additional disclosures generate smaller % increases in licenses, which generate smaller % increases in royalties (TTOs generally effective at tapping pool of available technologies in their universities)

===Thursby, J., Fuller, Thursby, M.: US Faculty Patenting: Inside and Outside the University (2009)===

[http://www.nber.org/papers/w13256.pdf]

@article{thursby2009us,
title = "US Faculty Patenting: Inside and Outside the University",
author = "Jerry G. Thursby, Anne W. Fuller, and Marie C. Thursby",
journal={Research Policy},
volume={38},
number={1},
pages={14--25},
year={2009},
publisher={Elsevier},
abstract = {This paper examines the empirical anomaly that in a sample of 5811 patents on which US faculty are listed as inventors, 26% of the patents are assigned solely to firms rather than to the faculty member's university as is dictated by US university employment policies or the Bayh Dole Act. In this paper we estimate a series of probability models of assignment as a function of patent characteristics, university policy, and inventor fields in order to examine the extent to which outside assignment is nefarious or comes from legitimate activities, such as consulting. Patents assigned to firms (whether established or start-ups with inventor as principal) are less basic than those assigned to universities suggesting these patents result from faculty consulting. A higher inventor share increases the likelihood of university assignment as compared with assignment to a firm in which the inventor is a principal but it has no effect on consulting with established firms versus assignment to the university. Faculty in the physical sciences and engineering are more likely to assign their patents to established firms than those in biological sciences.},
filename={Thursby et al (2009) - US Faculty Patenting},
}

*only 62.4% of patents by university faculty members of 87 universities were assigned solely to universities
*identifying US university patents by institutional assignment misses significant percentage of faculty innovation in US universities
*higher inventor share increases likelihood of university assignment compared with assignment to a firm where inventor is principal
*possibilities: faculty in low share universities may be more willing to seek outside remuneration via assignment to start-up where they are principal; revenue shares may not affect startup activity but simply reduce number of inventions disclosed to university

Sources
*Faculty names from NRC
*Compared with inventor names in NBER Patent Database
*Excluded faculty who do not patent

Patent/Inventor Pairs
*MIT: 315
*Wisconsin: 232
*Stanford: 223
*UC San Diego: 216
*UC Berkeley: 207

Out of 5811 patents:
*1513 assigned solely to firms
*241 assigned to both firms and universities
*327 unassigned
*faculty are principals in assignee firms for 32.3% of patents assigned solely to firms and 24% of patents assigned to both (lower bound)

=== Valdivia: University Start-ups: Critical for Improving Technology Transfer (2013) ===

[https://www.brookings.edu/wp-content/uploads/2016/06/Valdivia_Tech-Transfer_v29_No-Embargo.pdf]

*Current emphasis on licensing patents, but most university TTOs do not generate enough to cover operating expenses
*Asymmetry in distribution of resources across the university system, only a few universities benefit from high licensing revenues
**top 8 universities took 50% of licensing income, top 16 universities took nearly 75% of income
**only 37 universities have been in the top 20 during the last decade (listed in University Patents > LicensingGrossIncome2003-2012.txt)
*Universities face much more pressure to demonstrate the economic impact of their R&D contracts
**97.6% of total public contracts obtained by universities are for basic/applied research
**2% of university research delivers ready-to-use technologies
**academic research is much more dependent on government funding than industry research is
*Government pressure for universities to be more responsive to market forces, more entrepreneurial, more attuned to needs of industry
*TTOs are costly to universities
*1979: 30 universities with TTO -> 1999: 174 universities (AUTM)
*2010: 206 US universities have very high or high research activity, all with TTOs (but not all report to AUTM) (Carnegie Classification of Higher Education)
*Over last 20 years, 87% of universities did not break even
*Clash between aims of university (non-profit) and TTO (essentially a business unit)
*By nurturing start-ups, TTOs can add most economic value to an invention disclosure
*2003: universities initiated 330 startups, 2012: 647 startups
*2012: 3715 operating university startups, almost double the number in 2000 (AUTM 2013)
*Startups mitigate financial risk by reducing reliance on blockbuster patents, increase diversification of portfolio
*Policy proposal: the government should increase funding for Small Business Technology Transfer Program (directed to university start-ups)
**H.R.2981: reapportions STTR funds at 0.05% in the next 2 years and 0.1% henceforth for university enterprises at proof of concept stage
*Should increase portion that agencies set aside for STTR
**STTR should have Phase III like SBIR to fund commercialization efforts
*Need equitable distribution across university system

=== The Bayh-Dole Act and High-Technology Entrepreneurship in U.S. Universities: Chicken, Egg, or Something Else? (2004) ===

[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.484.1612&rep=rep1&type=pdf]

==== Findings ====

* University research has an unusually significant impact on industrial innovation in the biomedical sector
* " This work also suggests that academic research rarely produces “prototypes” of inventions for development
and commercialization by industry—instead, academic research informs the methods and disciplines
employed by firms in their R&D facilities."
* The U.S. higher education system is much larger and more heterogenous than other developed countries - this encourages competition
* The passage of the Bayh-Dole Act was one part of a broader shift in U.S. policy toward stronger
intellectual property rights
* "Universities increased their share of patenting from less than 0.3% in 1963 to nearly 4% by 1999, but the rate of growth in this share begins to accelerate before rather than after 1980."
* "the Act's provisions expressed Congressional support for the negotiation of exclusive licenses between universities and industrial firms for the results of federally funded research"
* licensing revenues account for only a miniscule portion of universities' overall academic budgets
* the acceleration in growth of patenting and licensing began before the passage of the Bayh-Dole Act so this acceleration cannot be wholly attributed to the Act
* "the flow of knowledge and technology between university and industrial research is a two-way flow," despite previous characterization as wholly from academia to industry
* patents seem to be "especially important channels for technology transfer" in the biomedical sector

==== Data Sources ====
* 5 different case studies
1. Cotransformation: a process to transfer genes into mammalian cells (Columbia University).

2. Gallium Nitride: a semiconductor with both military and commercial applications (University of California).

3. Xalatan: a glaucoma treatment (Columbia University).

4. Ames II Tests: a bacteria assay for testing potential carcinogenic properties of pharmaceuticals and cosmetics (University of California).

5. Soluble CD4: a prototype for a drug to fight AIDS (Columbia University).

==== Critiques ====
* focuses on case studies as source of data

===Dornbusch, Schmoch, Schulze, Bethke: Identification of University-Based Patents: A New Large-Scale Approach (2012)===

[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.722.1368&rep=rep1&type=pdf]

Specific for German case, but certain points can help us

European convergence to US model (Bayh-Dole seen as main driver behind growing patent portfolios of US universities)

*University-owned patents (assigned to universities or their TTOs) and university-invented patents (assigned to university-affiliated authors)

Matching lists: traditional matching of lists of university staff/professors with inventor data
*time-consuming, costly, possibly not updated
*typically limited to tenured professors
*does not include Ph.D. students, assistants, lecturers

Matched authors of scientific publications and inventors on patents
*beware of homonyms

Patent data from EPO Worldwide Patent Statistical Database (PATSTAT)

Publication data from Elsevier (Scopus)

Country of origin: Inventor Country/Assignee Country/Applicant Country = Germany, Location of Organization to which author is affiliated =Germany
*Restrict dataset to authors from German organizations and inventors with residence in Germany

The organization

Names: To keep precision high, leave out names with initials only

Location: Postal/zip codes (PATSTAT provides address of inventor's residence, SCOPUS provides info for organization, 96.5% of first digit of inventor and organization postal codes are the same, 85.9% first two digits)

Time window: 2-year window between application and publication date

=== Singh A. and Wong P.K: University patenting activities and their link to the quantity and quality of scientific publications (2009) ===

[https://pdfs.semanticscholar.org/bb3a/df09ca693cdcff6c1f6aaf18113cabec2655.pdf]
==== Findings ====
* patenting by 281 leading world universities has consistently grown faster than general American patenting from 1977 - 2000
* North American university patenting growth has slowed relative to universities outside North America since the mid-1990s
* Between 2003-2005, they found that university patenting output has significant correlation with the both the quality and quantity of scientific publishing in North America
* In European and Australian universities, patenting correlated only with the quantity of scientific publishing, not with the quality
* In universities Europe, Australia, and North America, patenting correlated only with the quality of scientific publishing

==== Data Sources ====
* USPTO Patenting Data
* Shanghai Jiao Tong University's Academic Ranking of World Universities (ARWU)
* Times Higher Education Supplement's World University Ranking (WUR)
* Quantity was measured by counts of publications
* Quality was measured by citations to said publications
* the relationship between research and patenting was evaluated in two ways
** At the institutional level: patents assigned to universities
** At the individual level: patents with university researchers as the inventors

==== Critiques ====
* citations are not really a perfect measure of research quality and citations have little to do with practical use of the study (i.e. how much technological innovation is generated as a result of academic research publications)

==== Other Discoveries ====

* Study by Landry R., Amara N., and Saihi, M. (2006)
* (Owen Smith and Powell 2003) found that "organizations involved in technological commercialization tend to have higher publication rates than those who are not"
* (Lach and Schankerman 2003) found that "licensing revenues at the university level are positively influenced by publication citations per faculty"

Meghana Pannala (Work Log)

2017-03-03T22:00:26Z

Meghanapannala:

[[Category: Work Log]]
[[Category: Internal]]

[[Meghana Pannala]] [[Work Logs]] [[Meghana Pannala (Work Log)|(log page)]]

2/8/2017:10:00AM - 12:00PM Set up RDP and personal wiki page

2/13/2017: 1:00PM - 3:00PM Starting working with Julia on the lit reviews for University Patenting

2/17/2017: 2:00PM - 5:00PM Continued with lit reviews for University Patenting

2/20/2017: 1:00PM - 3:00PM Searched assignee list to come up with Key words to search for universities

2/22/2017: 10:00AM - 12:00PM - analyzed key words to search for universities among assignee list

2/24/2017: 10:00 AM - 12:00PM - got the US restricted assignee list from Marcela to re-evaluate key words

2/27/2017: 1:00PM - 3:00 PM - finalized new list of key words to get American universities - looked for additional sources of data

3/1/2017: 10:00AM - 12:00PM - looked for additional sources of data and evaluated existing sources to explain what useful items were contained within

3/3/2017: 10:30AM - 12:00PM; 1:00PM - 4:00PM - continued looking for additional data, worked on cleaning up Carnegie classification data to restrict to what was useful for us. Calculated aggregate columns for what we need.

University Patents

2017-03-03T20:22:04Z

Meghanapannala: /* What We Have */

{{McNair Projects
|Has title=University Patents
|Has owner=Julia Wang, Meghana Pannala,
|Has keywords=Patent
|Has project status=Active
}}
==Project Overview==
Goal: list of all universities and # of patents associated with each university and patent licensing activity

patent reassignment to startups associated with these universities

clinical trials (from Catherine) data to rank universities R&D engagement

identify list of universities: board of regents, universities in patent data (find patterns associated with university assignees) -- @Julia: Where did we get this list? I'd love to be able filter by country - Meghana

AUTM?

==Key Words==

===Universities (Patent Assignees)===
BOARD OF REGENTS - pretty much exclusively describes universities

UNIVERSITY - also exclusively describes universities
*Can we do a close match with University? (its the only word on this list that's frequently misspelled)

SCHOOL - often used in combination with medicine or medical to describe medical schools
*also are used to describe actual schools (i.e. HISD) and other businesses
*sometimes present in addresses - can we cut off the adresses?
*also used in combination with Business (i.e. Harvard Business School)
*use school only in conjuction with medical, medicine, and business

COLLEGE
*need to cut off addresses for this to work
*need to ensure that we include the space after
*excl. College Boulevard, college blvd, etc.
*double check everything with College Park

INSTITUTE OF TECHNOLOGY - almost exclusively describes universities but sometimes describes external research institutes

POLYTECHNIC - exclusively university (i.e. RPI, Virginia Tech)

RESEARCH FOUNDATION: VAST majority are university
*Exclusions: it's really difficult to distinguish between university affiliated and not, besides just looking them up on the google
**Novartis
**Progeria
**Washington Research Foundation
**Blood Center of Wisconsins
**Mental Hygiene
**Celiac Sprue
**Fidia
**Samuel Waxman Cancer Center
***founded by a faculty member at Mt. Sinai Medical School,not affil w/a single university but researchers are also usually faculty at various universities
**lifenet
**HealthPartners
**Dr. Susan Love
**La Jolla Cancer Research Foundation
**Children's Hospital (? grants degrees but is a hospital system)
**Medforte
**International Mask
**Palo Alto Medical Foundation

====Exclusions====
*LLC
*LLP

===Technology Transfer Offices===

====Job Titles====
*Patent Portfolio Manager
*Intellectual Property Manager
*Licensing Associate/Licensing Liaison
*Biological Materials Specialist
*Industrial Contracts Officer
*Technology Licensing Officer
*Associate Officer
*Technology Licensing Associates
*Patent Coordinator/Patent Administrator
*IP Portfolio Specialist
*MTA Coordinator
*Sponsored Research Administrator
*Technology Transfer Specialist/Technology Transfer Associate
*Contracts Associate
*Portfolio Director
*Contracts Specialist
*Industry Contracts Analyst
*Patent Prosecution Analyst
*(Associate) Director of Intellectual Property
*(Associate) Director of Technology Transfer Policy
*(Associate) Director of Technology Transactions
*(Associate) Director of Agreement Administration
*Senior Associate - watch
*Patent Attorney/Patent Agent/Patent Counsel/Paralegal - watch

====TTO Names====
*Office of Technology Transfer/Technology Transfer Office
*Office of Technology Licensing/Technology Licensing Office
*Office of Technology Development
*Technology Ventures
*Innovation Services
*Intellectual Property & Industry Research Alliances
*InnovationAccess
*Invention Transfer Group
*Technology Development Group
*Office of Business Development
*Office of Technology Commercialization
*Office of Innovation and Commercialization
*Innovation, Technology & Alliances
*Technology & Industry Alliances
*Office for Management of Intellectual Property
*Innovation & Partnerships Office

===University-Affiliated Startups (Patent Assignees)===

==What to get from other people==

Avesh has clinical trial data on wiki and bulk drive (FDA Trials Data), need to build it into normal form, use clinical trials data to rank R&D engagement of universities, will be building up portfolios of different types of companies

Marcela is cleaning up patent data, has given patent assignee names -- got it! Could we filter by country and get strictly American names?

Catherine has zip codes of medical centers, use to look through patent data

==Questions==
*How innovative are universities compared to publicly-traded firms, etc.? (firms: 100 active patents at any given time)
*How do universities license?
*What does the average portfolio look like for universities? (compared to publicly traded, VC-backed, etc)
*What can explain the differences in rankings? (size, quality of universities, TTOs and quality/experience of workers - searched LinkedIns, geography, entrepreneurship programs, NIH/NSF grants)

==To Do==

1. lit review (look at for 1-2 days), look for holistic picture, what has/hasn’t been done? what are the questions people are asking? (DONE)

2. look at patent data, determine how to find universities in patent database: board of regents, universities in patent data (find patterns associated with university assignees) (DONE)

3. get list of patent assignees with countries attached (DONE - Marcela gave us a list of all american assignees)
===What We Have===

*List of all post-secondary institutions (University Accreditation 3.2016_trim) - U.S. Department of Education
*Classification of universities (Carnegie Classification 2015) - Carnegie Classification
** includes all accredited degree-granting colleges and universities that are included in the National Center for Education Statistics Integrated Postsecondary Education Data System (IPEDS).
** Coverage: 4666 institutions of higher learning
** Variables: includes 94 variables
*** Enrollment data - subdivided into graduate and undergraduate
*** degrees conferred - divided into level and division
*** information on faculty (number, divided into levels i.e. assistant, assoc. and full time)
**** coverage for this variable is REALLY LOW
*** non-faculty research staff (includes post docs)
*** Science and Engineering Research and Development expenditures
*** Non-STEM research and Development expenditures
*Amount spent on R&D (Higher Ed R&D Rankings) - National Science Foundation
** includes just total R&D expenditures
*STTR full data 1995-2015 (STTRData) - Small Business Administration
*University Patent Numbers 1969-2012 - USPTO
*Patents that resulted from NIH grants
*Information about NSF grants

===What We Need===

*List of university-affiliated startups
**looks like AUTM STATT data has this because it was used in a study by Yael Hochberg [https://papers.ssrn.com/sol3/papers2.cfm?abstract_id=2418000]
**[https://www.forbes.com/sites/liyanchen/2015/07/29/americas-most-entrepreneurial-research-universities-2015/#3cb9829b3823| Rankings of Research Universities (2015)]
**FORBES ranked the country’s most entrepreneurial schools based on the numbers of alumni and students who have identified themselves as founders and business owners on LinkedIn (adjusted to total student body size). This year we rank both research universities and [https://www.forbes.com/sites/liyanchen/2015/07/29/americas-most-entrepreneurial-colleges-2015/#2b2909e04604| smaller colleges] separately.
*data about TTOs (# and quality of employees)
**LinkedIn crawler: working with Jeemin and Peter
*AUTM academic licensing data [http://www.autm.net/statt]

==Lit Reviews==

===Thursby, J. & Thursby, M.: Who Is Selling the Ivory Tower? Sources of Growth in University Licensing (2002)===

[http://pubsonline.informs.org/doi/pdf/10.1287/mnsc.48.1.90.14271]

@article{thursby2002who,
title={Who Is Selling the Ivory Tower? Sources of Growth in University Licensing},
author={Thursby, Jerry G. and Thursby, Marie C.},
journal={Management Science},
volume={48},
number={1},
pages={90--104},
year={2002},
publisher={INFORMS},
filename={Thursby Thursby (2002) - Who Is Selling the Ivory Tower}
}

*Reliance of industry on university inventions has increased
**AUTM surveys show 7.1% growth in yearly inventions disclosure from 1994-1998 for 64 universities that responded every year
*Primary reason for more disclosures may be increased propensity for faculty to disclose, rather than change in research focus
*Universities becoming more receptive to industry contracts
*Negative total TFP growth of licenses executed (-1.7% annual growth) - growth in disclosures and patent applications greater than the corresponding growth in licenses executed.
**Marginal university innovation offered to the market has declined in commercial appeal
**Universities are delving more deeply into the available pool of innovations to increase commercial activities
*No evidence on the importance of learning by doing on the part of TTOs except to note negative association between TTO growth and TFP growth in licensing
**Suggests at least the possibility of learning by doing effects

'''Other literature'''

*On the role of patents and publications in the transfer process: Adams 1990, Henderson et al. 1998, and Jaffe et al. 1993
*On consulting, sponsored research or institutional ties: Cohen et al. 1998; Mansfield 1995; Zucker et al. 1994, 1998
*On the nature of university licensing: Jensen and Thursby 2001, Mowery et al. 2001a,b, Mowery et al. 2001, Siegel et al. 1999, Thursby et al. 2001, Thursby and Kemp 2001

===Thursby, J., Jensen, Thursby, M.: Objectives, Characteristics and Outcomes of University Licensing: A Survey of Major U.S. Universities (2001)===

[https://pdfs.semanticscholar.org/637f/048c05ee83eb84a914f69e087f52acea1b6c.pdf]

@article{thursby2001objectives,
title={Objectives, Characteristics and Outcomes of University Licensing: A Survey of Major U.S. Universities},
author={Thursby, Jerry G., Jensen, Richard, and Thursby, Marie C.},
journal={The Journal of Technology Transfer},
volume={26},
number={1},
pages={59--72},
year={2001},
publisher={Springer},
abstract={This paper describes results of our survey of licensing at 62 research universities. We consider ownership, income splits, stage of development, marketing, license policies and characteristics, goals of licensing and the role of the inventor in licensing. Based on these results we analyze the relationship between licensing outcomes and both the objectives of the TTO and the characteristics of the technologies. Patent applications grow one-to-one with disclosures, while sponsored research grows similarly with licenses executed. Royalties are typically larger the higher the quality of the faculty and the higher the fraction of licenses that are executed at latter stages of development. Sponsored research is more likely to be included in a license if the new technology is at an early stage of development or if the TTO evaluates it as important. We find that additional disclosures generate smaller percentage increases in licenses, and those increases in licenses generate smaller percentage increases in royalties.},
filename={Thursby et al (2001) - Objectives, Characteristics and Outcomes of University Licensing}
}

*University licensing has increased dramatically post-Bayh-Dole (1980)
**According to AUTM 1996, licenses executed increased 75% from 1991-1996, (total: 13,087)
*Survey of TTOs of 62 major US universities
**Majority of universities retain titles to inventions
**All universities split income with inventors
**Royalties generate most of the revenue of licensing

*Open question: Is the increased propensity of faculty to disclose a response to financial incentives or an increase in the effectiveness of TTOs in inducing disclosure?

Survey
*62/135 universities responded
*63% public, and 62% of public universities that responded were land-grant
*37% private
*average industry sponsored research $16.9 mil, federally sponsored $149.6 mil (1996)
*average TTO: 26.3 licenses executed, 92.3 invention disclosures, 30.1 new patent apps, $4.2 mil income (1996)
*35% of respondents had reorganized TTO since 1990
*90% of universities allow faculty to establish and operate businesses based on technology owned by university but developed in faculty's research
*Inventions disclosed: 33% med schools, 29% engineering, 22% science, 6% agriculture, 10% other
*Majority of invention disclosures in nascent stage (proof of concept - 45% or prototype - 37%)
*Patents often applied for after knowing commercial viability, licensed technologies often not protected by patents
*60% of universities said small companies more likely to take early stage technologies and large companies more likely to take late stage - small firms may have advantage in "innovative" research (Holmstrom 1989)
*TTOs obtain smaller upfront fees the more uncertain the technology being licensed is
*Universities usually do not take equity in the license

Regression of licensing outcomes

[[File:LicensingOutcomeReg.png|500px]]

*Dependent variables: royalties, sponsored research, patents (new applications), licenses executed
*Independent variables: importance of outcome to TTO, types of inventions, measure of size of university's licensing operation/potential
*Logs of all variables except indicator variables
*Probit for frequency of sponsored research
*INVDIS: number of disclosures
*TTOSIZE: number of licensing individuals
*TTOEVAL_1 = 1: if TTOs that said licenses/patents are "not very important"
*TTOEVAL_2 = 1: if TTOs that said licenses/patents are "moderately important"
*PROOF: % of licensed disclosures that were "proof of concept but no prototype"
*PTYPE: "Prototype available but only lab scale"
*MEDSCHL: 1 if med school exists
*QUAL: academic quality of faculty (1993 NRC's survey results of academic quality of Ph.D. granting departments)
*LICENSES: number of licenses executed
*SPONRES: amount of sponsored research
*SPONFREQ: frequency that sponsored research is tied to license (according to TTO)
*patent apps grow 1-to-1 with disclosures
*sponsored research grows with licenses executed
*more licenses executed at universities with large TTOs and med schools
*higher royalties with higher quality of faculty and higher fraction of licenses executed at later stages of development
*additional disclosures generate smaller % increases in licenses, which generate smaller % increases in royalties (TTOs generally effective at tapping pool of available technologies in their universities)

===Thursby, J., Fuller, Thursby, M.: US Faculty Patenting: Inside and Outside the University (2009)===

[http://www.nber.org/papers/w13256.pdf]

@article{thursby2009us,
title = "US Faculty Patenting: Inside and Outside the University",
author = "Jerry G. Thursby, Anne W. Fuller, and Marie C. Thursby",
journal={Research Policy},
volume={38},
number={1},
pages={14--25},
year={2009},
publisher={Elsevier},
abstract = {This paper examines the empirical anomaly that in a sample of 5811 patents on which US faculty are listed as inventors, 26% of the patents are assigned solely to firms rather than to the faculty member's university as is dictated by US university employment policies or the Bayh Dole Act. In this paper we estimate a series of probability models of assignment as a function of patent characteristics, university policy, and inventor fields in order to examine the extent to which outside assignment is nefarious or comes from legitimate activities, such as consulting. Patents assigned to firms (whether established or start-ups with inventor as principal) are less basic than those assigned to universities suggesting these patents result from faculty consulting. A higher inventor share increases the likelihood of university assignment as compared with assignment to a firm in which the inventor is a principal but it has no effect on consulting with established firms versus assignment to the university. Faculty in the physical sciences and engineering are more likely to assign their patents to established firms than those in biological sciences.},
filename={Thursby et al (2009) - US Faculty Patenting},
}

*only 62.4% of patents by university faculty members of 87 universities were assigned solely to universities
*identifying US university patents by institutional assignment misses significant percentage of faculty innovation in US universities
*higher inventor share increases likelihood of university assignment compared with assignment to a firm where inventor is principal
*possibilities: faculty in low share universities may be more willing to seek outside remuneration via assignment to start-up where they are principal; revenue shares may not affect startup activity but simply reduce number of inventions disclosed to university

Sources
*Faculty names from NRC
*Compared with inventor names in NBER Patent Database
*Excluded faculty who do not patent

Patent/Inventor Pairs
*MIT: 315
*Wisconsin: 232
*Stanford: 223
*UC San Diego: 216
*UC Berkeley: 207

Out of 5811 patents:
*1513 assigned solely to firms
*241 assigned to both firms and universities
*327 unassigned
*faculty are principals in assignee firms for 32.3% of patents assigned solely to firms and 24% of patents assigned to both (lower bound)

=== Valdivia: University Start-ups: Critical for Improving Technology Transfer (2013) ===

[https://www.brookings.edu/wp-content/uploads/2016/06/Valdivia_Tech-Transfer_v29_No-Embargo.pdf]

*Current emphasis on licensing patents, but most university TTOs do not generate enough to cover operating expenses
*Asymmetry in distribution of resources across the university system, only a few universities benefit from high licensing revenues
**top 8 universities took 50% of licensing income, top 16 universities took nearly 75% of income
**only 37 universities have been in the top 20 during the last decade (listed in University Patents > LicensingGrossIncome2003-2012.txt)
*Universities face much more pressure to demonstrate the economic impact of their R&D contracts
**97.6% of total public contracts obtained by universities are for basic/applied research
**2% of university research delivers ready-to-use technologies
**academic research is much more dependent on government funding than industry research is
*Government pressure for universities to be more responsive to market forces, more entrepreneurial, more attuned to needs of industry
*TTOs are costly to universities
*1979: 30 universities with TTO -> 1999: 174 universities (AUTM)
*2010: 206 US universities have very high or high research activity, all with TTOs (but not all report to AUTM) (Carnegie Classification of Higher Education)
*Over last 20 years, 87% of universities did not break even
*Clash between aims of university (non-profit) and TTO (essentially a business unit)
*By nurturing start-ups, TTOs can add most economic value to an invention disclosure
*2003: universities initiated 330 startups, 2012: 647 startups
*2012: 3715 operating university startups, almost double the number in 2000 (AUTM 2013)
*Startups mitigate financial risk by reducing reliance on blockbuster patents, increase diversification of portfolio
*Policy proposal: the government should increase funding for Small Business Technology Transfer Program (directed to university start-ups)
**H.R.2981: reapportions STTR funds at 0.05% in the next 2 years and 0.1% henceforth for university enterprises at proof of concept stage
*Should increase portion that agencies set aside for STTR
**STTR should have Phase III like SBIR to fund commercialization efforts
*Need equitable distribution across university system

=== The Bayh-Dole Act and High-Technology Entrepreneurship in U.S. Universities: Chicken, Egg, or Something Else? (2004) ===

[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.484.1612&rep=rep1&type=pdf]

==== Findings ====

* University research has an unusually significant impact on industrial innovation in the biomedical sector
* " This work also suggests that academic research rarely produces “prototypes” of inventions for development
and commercialization by industry—instead, academic research informs the methods and disciplines
employed by firms in their R&D facilities."
* The U.S. higher education system is much larger and more heterogenous than other developed countries - this encourages competition
* The passage of the Bayh-Dole Act was one part of a broader shift in U.S. policy toward stronger
intellectual property rights
* "Universities increased their share of patenting from less than 0.3% in 1963 to nearly 4% by 1999, but the rate of growth in this share begins to accelerate before rather than after 1980."
* "the Act's provisions expressed Congressional support for the negotiation of exclusive licenses between universities and industrial firms for the results of federally funded research"
* licensing revenues account for only a miniscule portion of universities' overall academic budgets
* the acceleration in growth of patenting and licensing began before the passage of the Bayh-Dole Act so this acceleration cannot be wholly attributed to the Act
* "the flow of knowledge and technology between university and industrial research is a two-way flow," despite previous characterization as wholly from academia to industry
* patents seem to be "especially important channels for technology transfer" in the biomedical sector

==== Data Sources ====
* 5 different case studies
1. Cotransformation: a process to transfer genes into mammalian cells (Columbia University).

2. Gallium Nitride: a semiconductor with both military and commercial applications (University of California).

3. Xalatan: a glaucoma treatment (Columbia University).

4. Ames II Tests: a bacteria assay for testing potential carcinogenic properties of pharmaceuticals and cosmetics (University of California).

5. Soluble CD4: a prototype for a drug to fight AIDS (Columbia University).

==== Critiques ====
* focuses on case studies as source of data

===Dornbusch, Schmoch, Schulze, Bethke: Identification of University-Based Patents: A New Large-Scale Approach (2012)===

[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.722.1368&rep=rep1&type=pdf]

Specific for German case, but certain points can help us

European convergence to US model (Bayh-Dole seen as main driver behind growing patent portfolios of US universities)

*University-owned patents (assigned to universities or their TTOs) and university-invented patents (assigned to university-affiliated authors)

Matching lists: traditional matching of lists of university staff/professors with inventor data
*time-consuming, costly, possibly not updated
*typically limited to tenured professors
*does not include Ph.D. students, assistants, lecturers

Matched authors of scientific publications and inventors on patents
*beware of homonyms

Patent data from EPO Worldwide Patent Statistical Database (PATSTAT)

Publication data from Elsevier (Scopus)

Country of origin: Inventor Country/Assignee Country/Applicant Country = Germany, Location of Organization to which author is affiliated =Germany
*Restrict dataset to authors from German organizations and inventors with residence in Germany

The organization

Names: To keep precision high, leave out names with initials only

Location: Postal/zip codes (PATSTAT provides address of inventor's residence, SCOPUS provides info for organization, 96.5% of first digit of inventor and organization postal codes are the same, 85.9% first two digits)

Time window: 2-year window between application and publication date

=== Singh A. and Wong P.K: University patenting activities and their link to the quantity and quality of scientific publications (2009) ===

[https://pdfs.semanticscholar.org/bb3a/df09ca693cdcff6c1f6aaf18113cabec2655.pdf]
==== Findings ====
* patenting by 281 leading world universities has consistently grown faster than general American patenting from 1977 - 2000
* North American university patenting growth has slowed relative to universities outside North America since the mid-1990s
* Between 2003-2005, they found that university patenting output has significant correlation with the both the quality and quantity of scientific publishing in North America
* In European and Australian universities, patenting correlated only with the quantity of scientific publishing, not with the quality
* In universities Europe, Australia, and North America, patenting correlated only with the quality of scientific publishing

==== Data Sources ====
* USPTO Patenting Data
* Shanghai Jiao Tong University's Academic Ranking of World Universities (ARWU)
* Times Higher Education Supplement's World University Ranking (WUR)
* Quantity was measured by counts of publications
* Quality was measured by citations to said publications
* the relationship between research and patenting was evaluated in two ways
** At the institutional level: patents assigned to universities
** At the individual level: patents with university researchers as the inventors

==== Critiques ====
* citations are not really a perfect measure of research quality and citations have little to do with practical use of the study (i.e. how much technological innovation is generated as a result of academic research publications)

==== Other Discoveries ====

* Study by Landry R., Amara N., and Saihi, M. (2006)
* (Owen Smith and Powell 2003) found that "organizations involved in technological commercialization tend to have higher publication rates than those who are not"
* (Lach and Schankerman 2003) found that "licensing revenues at the university level are positively influenced by publication citations per faculty"

University Patents

2017-03-03T19:42:26Z

Meghanapannala:

{{McNair Projects
|Has title=University Patents
|Has owner=Julia Wang, Meghana Pannala,
|Has keywords=Patent
|Has project status=Active
}}
==Project Overview==
Goal: list of all universities and # of patents associated with each university and patent licensing activity

patent reassignment to startups associated with these universities

clinical trials (from Catherine) data to rank universities R&D engagement

identify list of universities: board of regents, universities in patent data (find patterns associated with university assignees) -- @Julia: Where did we get this list? I'd love to be able filter by country - Meghana

AUTM?

==Key Words==

===Universities (Patent Assignees)===
BOARD OF REGENTS - pretty much exclusively describes universities

UNIVERSITY - also exclusively describes universities
*Can we do a close match with University? (its the only word on this list that's frequently misspelled)

SCHOOL - often used in combination with medicine or medical to describe medical schools
*also are used to describe actual schools (i.e. HISD) and other businesses
*sometimes present in addresses - can we cut off the adresses?
*also used in combination with Business (i.e. Harvard Business School)
*use school only in conjuction with medical, medicine, and business

COLLEGE
*need to cut off addresses for this to work
*need to ensure that we include the space after
*excl. College Boulevard, college blvd, etc.
*double check everything with College Park

INSTITUTE OF TECHNOLOGY - almost exclusively describes universities but sometimes describes external research institutes

POLYTECHNIC - exclusively university (i.e. RPI, Virginia Tech)

RESEARCH FOUNDATION: VAST majority are university
*Exclusions: it's really difficult to distinguish between university affiliated and not, besides just looking them up on the google
**Novartis
**Progeria
**Washington Research Foundation
**Blood Center of Wisconsins
**Mental Hygiene
**Celiac Sprue
**Fidia
**Samuel Waxman Cancer Center
***founded by a faculty member at Mt. Sinai Medical School,not affil w/a single university but researchers are also usually faculty at various universities
**lifenet
**HealthPartners
**Dr. Susan Love
**La Jolla Cancer Research Foundation
**Children's Hospital (? grants degrees but is a hospital system)
**Medforte
**International Mask
**Palo Alto Medical Foundation

====Exclusions====
*LLC
*LLP

===Technology Transfer Offices===

====Job Titles====
*Patent Portfolio Manager
*Intellectual Property Manager
*Licensing Associate/Licensing Liaison
*Biological Materials Specialist
*Industrial Contracts Officer
*Technology Licensing Officer
*Associate Officer
*Technology Licensing Associates
*Patent Coordinator/Patent Administrator
*IP Portfolio Specialist
*MTA Coordinator
*Sponsored Research Administrator
*Technology Transfer Specialist/Technology Transfer Associate
*Contracts Associate
*Portfolio Director
*Contracts Specialist
*Industry Contracts Analyst
*Patent Prosecution Analyst
*(Associate) Director of Intellectual Property
*(Associate) Director of Technology Transfer Policy
*(Associate) Director of Technology Transactions
*(Associate) Director of Agreement Administration
*Senior Associate - watch
*Patent Attorney/Patent Agent/Patent Counsel/Paralegal - watch

====TTO Names====
*Office of Technology Transfer/Technology Transfer Office
*Office of Technology Licensing/Technology Licensing Office
*Office of Technology Development
*Technology Ventures
*Innovation Services
*Intellectual Property & Industry Research Alliances
*InnovationAccess
*Invention Transfer Group
*Technology Development Group
*Office of Business Development
*Office of Technology Commercialization
*Office of Innovation and Commercialization
*Innovation, Technology & Alliances
*Technology & Industry Alliances
*Office for Management of Intellectual Property
*Innovation & Partnerships Office

===University-Affiliated Startups (Patent Assignees)===

==What to get from other people==

Avesh has clinical trial data on wiki and bulk drive (FDA Trials Data), need to build it into normal form, use clinical trials data to rank R&D engagement of universities, will be building up portfolios of different types of companies

Marcela is cleaning up patent data, has given patent assignee names -- got it! Could we filter by country and get strictly American names?

Catherine has zip codes of medical centers, use to look through patent data

==Questions==
*How innovative are universities compared to publicly-traded firms, etc.? (firms: 100 active patents at any given time)
*How do universities license?
*What does the average portfolio look like for universities? (compared to publicly traded, VC-backed, etc)
*What can explain the differences in rankings? (size, quality of universities, TTOs and quality/experience of workers - searched LinkedIns, geography, entrepreneurship programs, NIH/NSF grants)

==To Do==

1. lit review (look at for 1-2 days), look for holistic picture, what has/hasn’t been done? what are the questions people are asking? (DONE)

2. look at patent data, determine how to find universities in patent database: board of regents, universities in patent data (find patterns associated with university assignees) (DONE)

3. get list of patent assignees with countries attached (DONE - Marcela gave us a list of all american assignees)
===What We Have===

*List of all post-secondary institutions (University Accreditation 3.2016_trim) - U.S. Department of Education
*Classification of universities (Carnegie Classification 2015) - Carnegie Classification
** includes all accredited degree-granting colleges and universities that are included in the National Center for Education Statistics Integrated Postsecondary Education Data System (IPEDS).
** Coverage: 4666 institutions of higher learning
** Variables: includes 94 variables
*** Enrollment data - subdivided into graduate and undergraduate
*** degrees conferred - divided into level and division
*** information on faculty (number, divided into levels i.e. assistant, assoc. and full time)
*** non-faculty research staff (includes post docs)
*** Science and Engineering Research and Development expenditures
*** Non-STEM research and Development expenditures
*Amount spent on R&D (Higher Ed R&D Rankings) - National Science Foundation
** includes just total R&D expenditures
*STTR full data 1995-2015 (STTRData) - Small Business Administration
*University Patent Numbers 1969-2012 - USPTO
*Wikipedia crawler for university pages - Endowment, Academic staff, Administrative staff, Students, Undergraduates, Postgraduates -- we have most of this data in the Carnegie except for Endowment
*Patents from NIH grants

===What We Need===

*List of university-affiliated startups
**looks like AUTM STATT data has this because it was used in a study by Yael Hochberg [https://papers.ssrn.com/sol3/papers2.cfm?abstract_id=2418000]
**[https://www.forbes.com/sites/liyanchen/2015/07/29/americas-most-entrepreneurial-research-universities-2015/#3cb9829b3823| Rankings of Research Universities (2015)]
**FORBES ranked the country’s most entrepreneurial schools based on the numbers of alumni and students who have identified themselves as founders and business owners on LinkedIn (adjusted to total student body size). This year we rank both research universities and [https://www.forbes.com/sites/liyanchen/2015/07/29/americas-most-entrepreneurial-colleges-2015/#2b2909e04604| smaller colleges] separately.
*data about TTOs (# and quality of employees)
**LinkedIn crawler: working with Jeemin and Peter
*AUTM academic licensing data [http://www.autm.net/statt]

==Lit Reviews==

===Thursby, J. & Thursby, M.: Who Is Selling the Ivory Tower? Sources of Growth in University Licensing (2002)===

[http://pubsonline.informs.org/doi/pdf/10.1287/mnsc.48.1.90.14271]

@article{thursby2002who,
title={Who Is Selling the Ivory Tower? Sources of Growth in University Licensing},
author={Thursby, Jerry G. and Thursby, Marie C.},
journal={Management Science},
volume={48},
number={1},
pages={90--104},
year={2002},
publisher={INFORMS},
filename={Thursby Thursby (2002) - Who Is Selling the Ivory Tower}
}

*Reliance of industry on university inventions has increased
**AUTM surveys show 7.1% growth in yearly inventions disclosure from 1994-1998 for 64 universities that responded every year
*Primary reason for more disclosures may be increased propensity for faculty to disclose, rather than change in research focus
*Universities becoming more receptive to industry contracts
*Negative total TFP growth of licenses executed (-1.7% annual growth) - growth in disclosures and patent applications greater than the corresponding growth in licenses executed.
**Marginal university innovation offered to the market has declined in commercial appeal
**Universities are delving more deeply into the available pool of innovations to increase commercial activities
*No evidence on the importance of learning by doing on the part of TTOs except to note negative association between TTO growth and TFP growth in licensing
**Suggests at least the possibility of learning by doing effects

'''Other literature'''

*On the role of patents and publications in the transfer process: Adams 1990, Henderson et al. 1998, and Jaffe et al. 1993
*On consulting, sponsored research or institutional ties: Cohen et al. 1998; Mansfield 1995; Zucker et al. 1994, 1998
*On the nature of university licensing: Jensen and Thursby 2001, Mowery et al. 2001a,b, Mowery et al. 2001, Siegel et al. 1999, Thursby et al. 2001, Thursby and Kemp 2001

===Thursby, J., Jensen, Thursby, M.: Objectives, Characteristics and Outcomes of University Licensing: A Survey of Major U.S. Universities (2001)===

[https://pdfs.semanticscholar.org/637f/048c05ee83eb84a914f69e087f52acea1b6c.pdf]

@article{thursby2001objectives,
title={Objectives, Characteristics and Outcomes of University Licensing: A Survey of Major U.S. Universities},
author={Thursby, Jerry G., Jensen, Richard, and Thursby, Marie C.},
journal={The Journal of Technology Transfer},
volume={26},
number={1},
pages={59--72},
year={2001},
publisher={Springer},
abstract={This paper describes results of our survey of licensing at 62 research universities. We consider ownership, income splits, stage of development, marketing, license policies and characteristics, goals of licensing and the role of the inventor in licensing. Based on these results we analyze the relationship between licensing outcomes and both the objectives of the TTO and the characteristics of the technologies. Patent applications grow one-to-one with disclosures, while sponsored research grows similarly with licenses executed. Royalties are typically larger the higher the quality of the faculty and the higher the fraction of licenses that are executed at latter stages of development. Sponsored research is more likely to be included in a license if the new technology is at an early stage of development or if the TTO evaluates it as important. We find that additional disclosures generate smaller percentage increases in licenses, and those increases in licenses generate smaller percentage increases in royalties.},
filename={Thursby et al (2001) - Objectives, Characteristics and Outcomes of University Licensing}
}

*University licensing has increased dramatically post-Bayh-Dole (1980)
**According to AUTM 1996, licenses executed increased 75% from 1991-1996, (total: 13,087)
*Survey of TTOs of 62 major US universities
**Majority of universities retain titles to inventions
**All universities split income with inventors
**Royalties generate most of the revenue of licensing

*Open question: Is the increased propensity of faculty to disclose a response to financial incentives or an increase in the effectiveness of TTOs in inducing disclosure?

Survey
*62/135 universities responded
*63% public, and 62% of public universities that responded were land-grant
*37% private
*average industry sponsored research $16.9 mil, federally sponsored $149.6 mil (1996)
*average TTO: 26.3 licenses executed, 92.3 invention disclosures, 30.1 new patent apps, $4.2 mil income (1996)
*35% of respondents had reorganized TTO since 1990
*90% of universities allow faculty to establish and operate businesses based on technology owned by university but developed in faculty's research
*Inventions disclosed: 33% med schools, 29% engineering, 22% science, 6% agriculture, 10% other
*Majority of invention disclosures in nascent stage (proof of concept - 45% or prototype - 37%)
*Patents often applied for after knowing commercial viability, licensed technologies often not protected by patents
*60% of universities said small companies more likely to take early stage technologies and large companies more likely to take late stage - small firms may have advantage in "innovative" research (Holmstrom 1989)
*TTOs obtain smaller upfront fees the more uncertain the technology being licensed is
*Universities usually do not take equity in the license

Regression of licensing outcomes

[[File:LicensingOutcomeReg.png|500px]]

*Dependent variables: royalties, sponsored research, patents (new applications), licenses executed
*Independent variables: importance of outcome to TTO, types of inventions, measure of size of university's licensing operation/potential
*Logs of all variables except indicator variables
*Probit for frequency of sponsored research
*INVDIS: number of disclosures
*TTOSIZE: number of licensing individuals
*TTOEVAL_1 = 1: if TTOs that said licenses/patents are "not very important"
*TTOEVAL_2 = 1: if TTOs that said licenses/patents are "moderately important"
*PROOF: % of licensed disclosures that were "proof of concept but no prototype"
*PTYPE: "Prototype available but only lab scale"
*MEDSCHL: 1 if med school exists
*QUAL: academic quality of faculty (1993 NRC's survey results of academic quality of Ph.D. granting departments)
*LICENSES: number of licenses executed
*SPONRES: amount of sponsored research
*SPONFREQ: frequency that sponsored research is tied to license (according to TTO)
*patent apps grow 1-to-1 with disclosures
*sponsored research grows with licenses executed
*more licenses executed at universities with large TTOs and med schools
*higher royalties with higher quality of faculty and higher fraction of licenses executed at later stages of development
*additional disclosures generate smaller % increases in licenses, which generate smaller % increases in royalties (TTOs generally effective at tapping pool of available technologies in their universities)

===Thursby, J., Fuller, Thursby, M.: US Faculty Patenting: Inside and Outside the University (2009)===

[http://www.nber.org/papers/w13256.pdf]

@article{thursby2009us,
title = "US Faculty Patenting: Inside and Outside the University",
author = "Jerry G. Thursby, Anne W. Fuller, and Marie C. Thursby",
journal={Research Policy},
volume={38},
number={1},
pages={14--25},
year={2009},
publisher={Elsevier},
abstract = {This paper examines the empirical anomaly that in a sample of 5811 patents on which US faculty are listed as inventors, 26% of the patents are assigned solely to firms rather than to the faculty member's university as is dictated by US university employment policies or the Bayh Dole Act. In this paper we estimate a series of probability models of assignment as a function of patent characteristics, university policy, and inventor fields in order to examine the extent to which outside assignment is nefarious or comes from legitimate activities, such as consulting. Patents assigned to firms (whether established or start-ups with inventor as principal) are less basic than those assigned to universities suggesting these patents result from faculty consulting. A higher inventor share increases the likelihood of university assignment as compared with assignment to a firm in which the inventor is a principal but it has no effect on consulting with established firms versus assignment to the university. Faculty in the physical sciences and engineering are more likely to assign their patents to established firms than those in biological sciences.},
filename={Thursby et al (2009) - US Faculty Patenting},
}

*only 62.4% of patents by university faculty members of 87 universities were assigned solely to universities
*identifying US university patents by institutional assignment misses significant percentage of faculty innovation in US universities
*higher inventor share increases likelihood of university assignment compared with assignment to a firm where inventor is principal
*possibilities: faculty in low share universities may be more willing to seek outside remuneration via assignment to start-up where they are principal; revenue shares may not affect startup activity but simply reduce number of inventions disclosed to university

Sources
*Faculty names from NRC
*Compared with inventor names in NBER Patent Database
*Excluded faculty who do not patent

Patent/Inventor Pairs
*MIT: 315
*Wisconsin: 232
*Stanford: 223
*UC San Diego: 216
*UC Berkeley: 207

Out of 5811 patents:
*1513 assigned solely to firms
*241 assigned to both firms and universities
*327 unassigned
*faculty are principals in assignee firms for 32.3% of patents assigned solely to firms and 24% of patents assigned to both (lower bound)

=== Valdivia: University Start-ups: Critical for Improving Technology Transfer (2013) ===

[https://www.brookings.edu/wp-content/uploads/2016/06/Valdivia_Tech-Transfer_v29_No-Embargo.pdf]

*Current emphasis on licensing patents, but most university TTOs do not generate enough to cover operating expenses
*Asymmetry in distribution of resources across the university system, only a few universities benefit from high licensing revenues
**top 8 universities took 50% of licensing income, top 16 universities took nearly 75% of income
**only 37 universities have been in the top 20 during the last decade (listed in University Patents > LicensingGrossIncome2003-2012.txt)
*Universities face much more pressure to demonstrate the economic impact of their R&D contracts
**97.6% of total public contracts obtained by universities are for basic/applied research
**2% of university research delivers ready-to-use technologies
**academic research is much more dependent on government funding than industry research is
*Government pressure for universities to be more responsive to market forces, more entrepreneurial, more attuned to needs of industry
*TTOs are costly to universities
*1979: 30 universities with TTO -> 1999: 174 universities (AUTM)
*2010: 206 US universities have very high or high research activity, all with TTOs (but not all report to AUTM) (Carnegie Classification of Higher Education)
*Over last 20 years, 87% of universities did not break even
*Clash between aims of university (non-profit) and TTO (essentially a business unit)
*By nurturing start-ups, TTOs can add most economic value to an invention disclosure
*2003: universities initiated 330 startups, 2012: 647 startups
*2012: 3715 operating university startups, almost double the number in 2000 (AUTM 2013)
*Startups mitigate financial risk by reducing reliance on blockbuster patents, increase diversification of portfolio
*Policy proposal: the government should increase funding for Small Business Technology Transfer Program (directed to university start-ups)
**H.R.2981: reapportions STTR funds at 0.05% in the next 2 years and 0.1% henceforth for university enterprises at proof of concept stage
*Should increase portion that agencies set aside for STTR
**STTR should have Phase III like SBIR to fund commercialization efforts
*Need equitable distribution across university system

=== The Bayh-Dole Act and High-Technology Entrepreneurship in U.S. Universities: Chicken, Egg, or Something Else? (2004) ===

[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.484.1612&rep=rep1&type=pdf]

==== Findings ====

* University research has an unusually significant impact on industrial innovation in the biomedical sector
* " This work also suggests that academic research rarely produces “prototypes” of inventions for development
and commercialization by industry—instead, academic research informs the methods and disciplines
employed by firms in their R&D facilities."
* The U.S. higher education system is much larger and more heterogenous than other developed countries - this encourages competition
* The passage of the Bayh-Dole Act was one part of a broader shift in U.S. policy toward stronger
intellectual property rights
* "Universities increased their share of patenting from less than 0.3% in 1963 to nearly 4% by 1999, but the rate of growth in this share begins to accelerate before rather than after 1980."
* "the Act's provisions expressed Congressional support for the negotiation of exclusive licenses between universities and industrial firms for the results of federally funded research"
* licensing revenues account for only a miniscule portion of universities' overall academic budgets
* the acceleration in growth of patenting and licensing began before the passage of the Bayh-Dole Act so this acceleration cannot be wholly attributed to the Act
* "the flow of knowledge and technology between university and industrial research is a two-way flow," despite previous characterization as wholly from academia to industry
* patents seem to be "especially important channels for technology transfer" in the biomedical sector

==== Data Sources ====
* 5 different case studies
1. Cotransformation: a process to transfer genes into mammalian cells (Columbia University).

2. Gallium Nitride: a semiconductor with both military and commercial applications (University of California).

3. Xalatan: a glaucoma treatment (Columbia University).

4. Ames II Tests: a bacteria assay for testing potential carcinogenic properties of pharmaceuticals and cosmetics (University of California).

5. Soluble CD4: a prototype for a drug to fight AIDS (Columbia University).

==== Critiques ====
* focuses on case studies as source of data

===Dornbusch, Schmoch, Schulze, Bethke: Identification of University-Based Patents: A New Large-Scale Approach (2012)===

[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.722.1368&rep=rep1&type=pdf]

Specific for German case, but certain points can help us

European convergence to US model (Bayh-Dole seen as main driver behind growing patent portfolios of US universities)

*University-owned patents (assigned to universities or their TTOs) and university-invented patents (assigned to university-affiliated authors)

Matching lists: traditional matching of lists of university staff/professors with inventor data
*time-consuming, costly, possibly not updated
*typically limited to tenured professors
*does not include Ph.D. students, assistants, lecturers

Matched authors of scientific publications and inventors on patents
*beware of homonyms

Patent data from EPO Worldwide Patent Statistical Database (PATSTAT)

Publication data from Elsevier (Scopus)

Country of origin: Inventor Country/Assignee Country/Applicant Country = Germany, Location of Organization to which author is affiliated =Germany
*Restrict dataset to authors from German organizations and inventors with residence in Germany

The organization

Names: To keep precision high, leave out names with initials only

Location: Postal/zip codes (PATSTAT provides address of inventor's residence, SCOPUS provides info for organization, 96.5% of first digit of inventor and organization postal codes are the same, 85.9% first two digits)

Time window: 2-year window between application and publication date

=== Singh A. and Wong P.K: University patenting activities and their link to the quantity and quality of scientific publications (2009) ===

[https://pdfs.semanticscholar.org/bb3a/df09ca693cdcff6c1f6aaf18113cabec2655.pdf]
==== Findings ====
* patenting by 281 leading world universities has consistently grown faster than general American patenting from 1977 - 2000
* North American university patenting growth has slowed relative to universities outside North America since the mid-1990s
* Between 2003-2005, they found that university patenting output has significant correlation with the both the quality and quantity of scientific publishing in North America
* In European and Australian universities, patenting correlated only with the quantity of scientific publishing, not with the quality
* In universities Europe, Australia, and North America, patenting correlated only with the quality of scientific publishing

==== Data Sources ====
* USPTO Patenting Data
* Shanghai Jia Tong University's Academic Ranking of World Universities (ARWU)
* Times Higher Education Supplement's World University Ranking (WUR)
* Quantity was measured by counts of publications
* Quality was measured by citations to said publications
* the relationship between research and patenting was evaluated in two ways
** At the institutional level: patents assigned to universities
** At the individual level: patents with university researchers as the inventors

==== Critiques ====
* citations are not really a perfect measure of research quality and citations have little to do with practical use of the study (i.e. how much technological innovation is generated as a result of academic research publications)

==== Other Discoveries ====

* Study by Landry R., Amara N., and Saihi, M. (2006)
* (Owen Smith and Powell 2003) found that "organizations involved in technological commercialization tend to have higher publication rates than those who are not"
* (Lach and Schankerman 2003) found that "licensing revenues at the university level are positively influenced by publication citations per faculty"

University Patents

2017-03-03T19:42:08Z

Meghanapannala:

{{McNair Projects
|Has title=University Patents
|Has owner=Julia Wang
|Has keywords=Patent
|Has project status=Active
}}
==Project Overview==
Goal: list of all universities and # of patents associated with each university and patent licensing activity

patent reassignment to startups associated with these universities

clinical trials (from Catherine) data to rank universities R&D engagement

identify list of universities: board of regents, universities in patent data (find patterns associated with university assignees) -- @Julia: Where did we get this list? I'd love to be able filter by country - Meghana

AUTM?

==Key Words==

===Universities (Patent Assignees)===
BOARD OF REGENTS - pretty much exclusively describes universities

UNIVERSITY - also exclusively describes universities
*Can we do a close match with University? (its the only word on this list that's frequently misspelled)

SCHOOL - often used in combination with medicine or medical to describe medical schools
*also are used to describe actual schools (i.e. HISD) and other businesses
*sometimes present in addresses - can we cut off the adresses?
*also used in combination with Business (i.e. Harvard Business School)
*use school only in conjuction with medical, medicine, and business

COLLEGE
*need to cut off addresses for this to work
*need to ensure that we include the space after
*excl. College Boulevard, college blvd, etc.
*double check everything with College Park

INSTITUTE OF TECHNOLOGY - almost exclusively describes universities but sometimes describes external research institutes

POLYTECHNIC - exclusively university (i.e. RPI, Virginia Tech)

RESEARCH FOUNDATION: VAST majority are university
*Exclusions: it's really difficult to distinguish between university affiliated and not, besides just looking them up on the google
**Novartis
**Progeria
**Washington Research Foundation
**Blood Center of Wisconsins
**Mental Hygiene
**Celiac Sprue
**Fidia
**Samuel Waxman Cancer Center
***founded by a faculty member at Mt. Sinai Medical School,not affil w/a single university but researchers are also usually faculty at various universities
**lifenet
**HealthPartners
**Dr. Susan Love
**La Jolla Cancer Research Foundation
**Children's Hospital (? grants degrees but is a hospital system)
**Medforte
**International Mask
**Palo Alto Medical Foundation

====Exclusions====
*LLC
*LLP

===Technology Transfer Offices===

====Job Titles====
*Patent Portfolio Manager
*Intellectual Property Manager
*Licensing Associate/Licensing Liaison
*Biological Materials Specialist
*Industrial Contracts Officer
*Technology Licensing Officer
*Associate Officer
*Technology Licensing Associates
*Patent Coordinator/Patent Administrator
*IP Portfolio Specialist
*MTA Coordinator
*Sponsored Research Administrator
*Technology Transfer Specialist/Technology Transfer Associate
*Contracts Associate
*Portfolio Director
*Contracts Specialist
*Industry Contracts Analyst
*Patent Prosecution Analyst
*(Associate) Director of Intellectual Property
*(Associate) Director of Technology Transfer Policy
*(Associate) Director of Technology Transactions
*(Associate) Director of Agreement Administration
*Senior Associate - watch
*Patent Attorney/Patent Agent/Patent Counsel/Paralegal - watch

====TTO Names====
*Office of Technology Transfer/Technology Transfer Office
*Office of Technology Licensing/Technology Licensing Office
*Office of Technology Development
*Technology Ventures
*Innovation Services
*Intellectual Property & Industry Research Alliances
*InnovationAccess
*Invention Transfer Group
*Technology Development Group
*Office of Business Development
*Office of Technology Commercialization
*Office of Innovation and Commercialization
*Innovation, Technology & Alliances
*Technology & Industry Alliances
*Office for Management of Intellectual Property
*Innovation & Partnerships Office

===University-Affiliated Startups (Patent Assignees)===

==What to get from other people==

Avesh has clinical trial data on wiki and bulk drive (FDA Trials Data), need to build it into normal form, use clinical trials data to rank R&D engagement of universities, will be building up portfolios of different types of companies

Marcela is cleaning up patent data, has given patent assignee names -- got it! Could we filter by country and get strictly American names?

Catherine has zip codes of medical centers, use to look through patent data

==Questions==
*How innovative are universities compared to publicly-traded firms, etc.? (firms: 100 active patents at any given time)
*How do universities license?
*What does the average portfolio look like for universities? (compared to publicly traded, VC-backed, etc)
*What can explain the differences in rankings? (size, quality of universities, TTOs and quality/experience of workers - searched LinkedIns, geography, entrepreneurship programs, NIH/NSF grants)

==To Do==

1. lit review (look at for 1-2 days), look for holistic picture, what has/hasn’t been done? what are the questions people are asking? (DONE)

2. look at patent data, determine how to find universities in patent database: board of regents, universities in patent data (find patterns associated with university assignees) (DONE)

3. get list of patent assignees with countries attached (DONE - Marcela gave us a list of all american assignees)
===What We Have===

*List of all post-secondary institutions (University Accreditation 3.2016_trim) - U.S. Department of Education
*Classification of universities (Carnegie Classification 2015) - Carnegie Classification
** includes all accredited degree-granting colleges and universities that are included in the National Center for Education Statistics Integrated Postsecondary Education Data System (IPEDS).
** Coverage: 4666 institutions of higher learning
** Variables: includes 94 variables
*** Enrollment data - subdivided into graduate and undergraduate
*** degrees conferred - divided into level and division
*** information on faculty (number, divided into levels i.e. assistant, assoc. and full time)
*** non-faculty research staff (includes post docs)
*** Science and Engineering Research and Development expenditures
*** Non-STEM research and Development expenditures
*Amount spent on R&D (Higher Ed R&D Rankings) - National Science Foundation
** includes just total R&D expenditures
*STTR full data 1995-2015 (STTRData) - Small Business Administration
*University Patent Numbers 1969-2012 - USPTO
*Wikipedia crawler for university pages - Endowment, Academic staff, Administrative staff, Students, Undergraduates, Postgraduates -- we have most of this data in the Carnegie except for Endowment
*Patents from NIH grants

===What We Need===

*List of university-affiliated startups
**looks like AUTM STATT data has this because it was used in a study by Yael Hochberg [https://papers.ssrn.com/sol3/papers2.cfm?abstract_id=2418000]
**[https://www.forbes.com/sites/liyanchen/2015/07/29/americas-most-entrepreneurial-research-universities-2015/#3cb9829b3823| Rankings of Research Universities (2015)]
**FORBES ranked the country’s most entrepreneurial schools based on the numbers of alumni and students who have identified themselves as founders and business owners on LinkedIn (adjusted to total student body size). This year we rank both research universities and [https://www.forbes.com/sites/liyanchen/2015/07/29/americas-most-entrepreneurial-colleges-2015/#2b2909e04604| smaller colleges] separately.
*data about TTOs (# and quality of employees)
**LinkedIn crawler: working with Jeemin and Peter
*AUTM academic licensing data [http://www.autm.net/statt]

==Lit Reviews==

===Thursby, J. & Thursby, M.: Who Is Selling the Ivory Tower? Sources of Growth in University Licensing (2002)===

[http://pubsonline.informs.org/doi/pdf/10.1287/mnsc.48.1.90.14271]

@article{thursby2002who,
title={Who Is Selling the Ivory Tower? Sources of Growth in University Licensing},
author={Thursby, Jerry G. and Thursby, Marie C.},
journal={Management Science},
volume={48},
number={1},
pages={90--104},
year={2002},
publisher={INFORMS},
filename={Thursby Thursby (2002) - Who Is Selling the Ivory Tower}
}

*Reliance of industry on university inventions has increased
**AUTM surveys show 7.1% growth in yearly inventions disclosure from 1994-1998 for 64 universities that responded every year
*Primary reason for more disclosures may be increased propensity for faculty to disclose, rather than change in research focus
*Universities becoming more receptive to industry contracts
*Negative total TFP growth of licenses executed (-1.7% annual growth) - growth in disclosures and patent applications greater than the corresponding growth in licenses executed.
**Marginal university innovation offered to the market has declined in commercial appeal
**Universities are delving more deeply into the available pool of innovations to increase commercial activities
*No evidence on the importance of learning by doing on the part of TTOs except to note negative association between TTO growth and TFP growth in licensing
**Suggests at least the possibility of learning by doing effects

'''Other literature'''

*On the role of patents and publications in the transfer process: Adams 1990, Henderson et al. 1998, and Jaffe et al. 1993
*On consulting, sponsored research or institutional ties: Cohen et al. 1998; Mansfield 1995; Zucker et al. 1994, 1998
*On the nature of university licensing: Jensen and Thursby 2001, Mowery et al. 2001a,b, Mowery et al. 2001, Siegel et al. 1999, Thursby et al. 2001, Thursby and Kemp 2001

===Thursby, J., Jensen, Thursby, M.: Objectives, Characteristics and Outcomes of University Licensing: A Survey of Major U.S. Universities (2001)===

[https://pdfs.semanticscholar.org/637f/048c05ee83eb84a914f69e087f52acea1b6c.pdf]

@article{thursby2001objectives,
title={Objectives, Characteristics and Outcomes of University Licensing: A Survey of Major U.S. Universities},
author={Thursby, Jerry G., Jensen, Richard, and Thursby, Marie C.},
journal={The Journal of Technology Transfer},
volume={26},
number={1},
pages={59--72},
year={2001},
publisher={Springer},
abstract={This paper describes results of our survey of licensing at 62 research universities. We consider ownership, income splits, stage of development, marketing, license policies and characteristics, goals of licensing and the role of the inventor in licensing. Based on these results we analyze the relationship between licensing outcomes and both the objectives of the TTO and the characteristics of the technologies. Patent applications grow one-to-one with disclosures, while sponsored research grows similarly with licenses executed. Royalties are typically larger the higher the quality of the faculty and the higher the fraction of licenses that are executed at latter stages of development. Sponsored research is more likely to be included in a license if the new technology is at an early stage of development or if the TTO evaluates it as important. We find that additional disclosures generate smaller percentage increases in licenses, and those increases in licenses generate smaller percentage increases in royalties.},
filename={Thursby et al (2001) - Objectives, Characteristics and Outcomes of University Licensing}
}

*University licensing has increased dramatically post-Bayh-Dole (1980)
**According to AUTM 1996, licenses executed increased 75% from 1991-1996, (total: 13,087)
*Survey of TTOs of 62 major US universities
**Majority of universities retain titles to inventions
**All universities split income with inventors
**Royalties generate most of the revenue of licensing

*Open question: Is the increased propensity of faculty to disclose a response to financial incentives or an increase in the effectiveness of TTOs in inducing disclosure?

Survey
*62/135 universities responded
*63% public, and 62% of public universities that responded were land-grant
*37% private
*average industry sponsored research $16.9 mil, federally sponsored $149.6 mil (1996)
*average TTO: 26.3 licenses executed, 92.3 invention disclosures, 30.1 new patent apps, $4.2 mil income (1996)
*35% of respondents had reorganized TTO since 1990
*90% of universities allow faculty to establish and operate businesses based on technology owned by university but developed in faculty's research
*Inventions disclosed: 33% med schools, 29% engineering, 22% science, 6% agriculture, 10% other
*Majority of invention disclosures in nascent stage (proof of concept - 45% or prototype - 37%)
*Patents often applied for after knowing commercial viability, licensed technologies often not protected by patents
*60% of universities said small companies more likely to take early stage technologies and large companies more likely to take late stage - small firms may have advantage in "innovative" research (Holmstrom 1989)
*TTOs obtain smaller upfront fees the more uncertain the technology being licensed is
*Universities usually do not take equity in the license

Regression of licensing outcomes

[[File:LicensingOutcomeReg.png|500px]]

*Dependent variables: royalties, sponsored research, patents (new applications), licenses executed
*Independent variables: importance of outcome to TTO, types of inventions, measure of size of university's licensing operation/potential
*Logs of all variables except indicator variables
*Probit for frequency of sponsored research
*INVDIS: number of disclosures
*TTOSIZE: number of licensing individuals
*TTOEVAL_1 = 1: if TTOs that said licenses/patents are "not very important"
*TTOEVAL_2 = 1: if TTOs that said licenses/patents are "moderately important"
*PROOF: % of licensed disclosures that were "proof of concept but no prototype"
*PTYPE: "Prototype available but only lab scale"
*MEDSCHL: 1 if med school exists
*QUAL: academic quality of faculty (1993 NRC's survey results of academic quality of Ph.D. granting departments)
*LICENSES: number of licenses executed
*SPONRES: amount of sponsored research
*SPONFREQ: frequency that sponsored research is tied to license (according to TTO)
*patent apps grow 1-to-1 with disclosures
*sponsored research grows with licenses executed
*more licenses executed at universities with large TTOs and med schools
*higher royalties with higher quality of faculty and higher fraction of licenses executed at later stages of development
*additional disclosures generate smaller % increases in licenses, which generate smaller % increases in royalties (TTOs generally effective at tapping pool of available technologies in their universities)

===Thursby, J., Fuller, Thursby, M.: US Faculty Patenting: Inside and Outside the University (2009)===

[http://www.nber.org/papers/w13256.pdf]

@article{thursby2009us,
title = "US Faculty Patenting: Inside and Outside the University",
author = "Jerry G. Thursby, Anne W. Fuller, and Marie C. Thursby",
journal={Research Policy},
volume={38},
number={1},
pages={14--25},
year={2009},
publisher={Elsevier},
abstract = {This paper examines the empirical anomaly that in a sample of 5811 patents on which US faculty are listed as inventors, 26% of the patents are assigned solely to firms rather than to the faculty member's university as is dictated by US university employment policies or the Bayh Dole Act. In this paper we estimate a series of probability models of assignment as a function of patent characteristics, university policy, and inventor fields in order to examine the extent to which outside assignment is nefarious or comes from legitimate activities, such as consulting. Patents assigned to firms (whether established or start-ups with inventor as principal) are less basic than those assigned to universities suggesting these patents result from faculty consulting. A higher inventor share increases the likelihood of university assignment as compared with assignment to a firm in which the inventor is a principal but it has no effect on consulting with established firms versus assignment to the university. Faculty in the physical sciences and engineering are more likely to assign their patents to established firms than those in biological sciences.},
filename={Thursby et al (2009) - US Faculty Patenting},
}

*only 62.4% of patents by university faculty members of 87 universities were assigned solely to universities
*identifying US university patents by institutional assignment misses significant percentage of faculty innovation in US universities
*higher inventor share increases likelihood of university assignment compared with assignment to a firm where inventor is principal
*possibilities: faculty in low share universities may be more willing to seek outside remuneration via assignment to start-up where they are principal; revenue shares may not affect startup activity but simply reduce number of inventions disclosed to university

Sources
*Faculty names from NRC
*Compared with inventor names in NBER Patent Database
*Excluded faculty who do not patent

Patent/Inventor Pairs
*MIT: 315
*Wisconsin: 232
*Stanford: 223
*UC San Diego: 216
*UC Berkeley: 207

Out of 5811 patents:
*1513 assigned solely to firms
*241 assigned to both firms and universities
*327 unassigned
*faculty are principals in assignee firms for 32.3% of patents assigned solely to firms and 24% of patents assigned to both (lower bound)

=== Valdivia: University Start-ups: Critical for Improving Technology Transfer (2013) ===

[https://www.brookings.edu/wp-content/uploads/2016/06/Valdivia_Tech-Transfer_v29_No-Embargo.pdf]

*Current emphasis on licensing patents, but most university TTOs do not generate enough to cover operating expenses
*Asymmetry in distribution of resources across the university system, only a few universities benefit from high licensing revenues
**top 8 universities took 50% of licensing income, top 16 universities took nearly 75% of income
**only 37 universities have been in the top 20 during the last decade (listed in University Patents > LicensingGrossIncome2003-2012.txt)
*Universities face much more pressure to demonstrate the economic impact of their R&D contracts
**97.6% of total public contracts obtained by universities are for basic/applied research
**2% of university research delivers ready-to-use technologies
**academic research is much more dependent on government funding than industry research is
*Government pressure for universities to be more responsive to market forces, more entrepreneurial, more attuned to needs of industry
*TTOs are costly to universities
*1979: 30 universities with TTO -> 1999: 174 universities (AUTM)
*2010: 206 US universities have very high or high research activity, all with TTOs (but not all report to AUTM) (Carnegie Classification of Higher Education)
*Over last 20 years, 87% of universities did not break even
*Clash between aims of university (non-profit) and TTO (essentially a business unit)
*By nurturing start-ups, TTOs can add most economic value to an invention disclosure
*2003: universities initiated 330 startups, 2012: 647 startups
*2012: 3715 operating university startups, almost double the number in 2000 (AUTM 2013)
*Startups mitigate financial risk by reducing reliance on blockbuster patents, increase diversification of portfolio
*Policy proposal: the government should increase funding for Small Business Technology Transfer Program (directed to university start-ups)
**H.R.2981: reapportions STTR funds at 0.05% in the next 2 years and 0.1% henceforth for university enterprises at proof of concept stage
*Should increase portion that agencies set aside for STTR
**STTR should have Phase III like SBIR to fund commercialization efforts
*Need equitable distribution across university system

=== The Bayh-Dole Act and High-Technology Entrepreneurship in U.S. Universities: Chicken, Egg, or Something Else? (2004) ===

[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.484.1612&rep=rep1&type=pdf]

==== Findings ====

* University research has an unusually significant impact on industrial innovation in the biomedical sector
* " This work also suggests that academic research rarely produces “prototypes” of inventions for development
and commercialization by industry—instead, academic research informs the methods and disciplines
employed by firms in their R&D facilities."
* The U.S. higher education system is much larger and more heterogenous than other developed countries - this encourages competition
* The passage of the Bayh-Dole Act was one part of a broader shift in U.S. policy toward stronger
intellectual property rights
* "Universities increased their share of patenting from less than 0.3% in 1963 to nearly 4% by 1999, but the rate of growth in this share begins to accelerate before rather than after 1980."
* "the Act's provisions expressed Congressional support for the negotiation of exclusive licenses between universities and industrial firms for the results of federally funded research"
* licensing revenues account for only a miniscule portion of universities' overall academic budgets
* the acceleration in growth of patenting and licensing began before the passage of the Bayh-Dole Act so this acceleration cannot be wholly attributed to the Act
* "the flow of knowledge and technology between university and industrial research is a two-way flow," despite previous characterization as wholly from academia to industry
* patents seem to be "especially important channels for technology transfer" in the biomedical sector

==== Data Sources ====
* 5 different case studies
1. Cotransformation: a process to transfer genes into mammalian cells (Columbia University).

2. Gallium Nitride: a semiconductor with both military and commercial applications (University of California).

3. Xalatan: a glaucoma treatment (Columbia University).

4. Ames II Tests: a bacteria assay for testing potential carcinogenic properties of pharmaceuticals and cosmetics (University of California).

5. Soluble CD4: a prototype for a drug to fight AIDS (Columbia University).

==== Critiques ====
* focuses on case studies as source of data

===Dornbusch, Schmoch, Schulze, Bethke: Identification of University-Based Patents: A New Large-Scale Approach (2012)===

[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.722.1368&rep=rep1&type=pdf]

Specific for German case, but certain points can help us

European convergence to US model (Bayh-Dole seen as main driver behind growing patent portfolios of US universities)

*University-owned patents (assigned to universities or their TTOs) and university-invented patents (assigned to university-affiliated authors)

Matching lists: traditional matching of lists of university staff/professors with inventor data
*time-consuming, costly, possibly not updated
*typically limited to tenured professors
*does not include Ph.D. students, assistants, lecturers

Matched authors of scientific publications and inventors on patents
*beware of homonyms

Patent data from EPO Worldwide Patent Statistical Database (PATSTAT)

Publication data from Elsevier (Scopus)

Country of origin: Inventor Country/Assignee Country/Applicant Country = Germany, Location of Organization to which author is affiliated =Germany
*Restrict dataset to authors from German organizations and inventors with residence in Germany

The organization

Names: To keep precision high, leave out names with initials only

Location: Postal/zip codes (PATSTAT provides address of inventor's residence, SCOPUS provides info for organization, 96.5% of first digit of inventor and organization postal codes are the same, 85.9% first two digits)

Time window: 2-year window between application and publication date

=== Singh A. and Wong P.K: University patenting activities and their link to the quantity and quality of scientific publications (2009) ===

[https://pdfs.semanticscholar.org/bb3a/df09ca693cdcff6c1f6aaf18113cabec2655.pdf]
==== Findings ====
* patenting by 281 leading world universities has consistently grown faster than general American patenting from 1977 - 2000
* North American university patenting growth has slowed relative to universities outside North America since the mid-1990s
* Between 2003-2005, they found that university patenting output has significant correlation with the both the quality and quantity of scientific publishing in North America
* In European and Australian universities, patenting correlated only with the quantity of scientific publishing, not with the quality
* In universities Europe, Australia, and North America, patenting correlated only with the quality of scientific publishing

==== Data Sources ====
* USPTO Patenting Data
* Shanghai Jia Tong University's Academic Ranking of World Universities (ARWU)
* Times Higher Education Supplement's World University Ranking (WUR)
* Quantity was measured by counts of publications
* Quality was measured by citations to said publications
* the relationship between research and patenting was evaluated in two ways
** At the institutional level: patents assigned to universities
** At the individual level: patents with university researchers as the inventors

==== Critiques ====
* citations are not really a perfect measure of research quality and citations have little to do with practical use of the study (i.e. how much technological innovation is generated as a result of academic research publications)

==== Other Discoveries ====

* Study by Landry R., Amara N., and Saihi, M. (2006)
* (Owen Smith and Powell 2003) found that "organizations involved in technological commercialization tend to have higher publication rates than those who are not"
* (Lach and Schankerman 2003) found that "licensing revenues at the university level are positively influenced by publication citations per faculty"

University Patents

2017-03-03T19:21:56Z

Meghanapannala: /* What We Have */

{{McNair Projects
|Has title=University Patents
|Has owner=Julia Wang
|Has keywords=Patent
|Has notes=
|Is dependent on=
|Depends upon it=
|Has project status=Active
}}

==Project Overview==
Goal: list of all universities and # of patents associated with each university and patent licensing activity

patent reassignment to startups associated with these universities

clinical trials (from Catherine) data to rank universities R&D engagement

identify list of universities: board of regents, universities in patent data (find patterns associated with university assignees) -- @Julia: Where did we get this list? I'd love to be able filter by country - Meghana

AUTM?

==Key Words==

===Universities (Patent Assignees)===
BOARD OF REGENTS - pretty much exclusively describes universities

UNIVERSITY - also exclusively describes universities
*Can we do a close match with University? (its the only word on this list that's frequently misspelled)

SCHOOL - often used in combination with medicine or medical to describe medical schools
*also are used to describe actual schools (i.e. HISD) and other businesses
*sometimes present in addresses - can we cut off the adresses?
*also used in combination with Business (i.e. Harvard Business School)
*use school only in conjuction with medical, medicine, and business

COLLEGE
*need to cut off addresses for this to work
*need to ensure that we include the space after
*excl. College Boulevard, college blvd, etc.
*double check everything with College Park

INSTITUTE OF TECHNOLOGY - almost exclusively describes universities but sometimes describes external research institutes

POLYTECHNIC - exclusively university (i.e. RPI, Virginia Tech)

RESEARCH FOUNDATION: VAST majority are university
*Exclusions: it's really difficult to distinguish between university affiliated and not, besides just looking them up on the google
**Novartis
**Progeria
**Washington Research Foundation
**Blood Center of Wisconsins
**Mental Hygiene
**Celiac Sprue
**Fidia
**Samuel Waxman Cancer Center
***founded by a faculty member at Mt. Sinai Medical School,not affil w/a single university but researchers are also usually faculty at various universities
**lifenet
**HealthPartners
**Dr. Susan Love
**La Jolla Cancer Research Foundation
**Children's Hospital (? grants degrees but is a hospital system)
**Medforte
**International Mask
**Palo Alto Medical Foundation

====Exclusions====
*LLC
*LLP

===Technology Transfer Offices===

====Job Titles====
*Patent Portfolio Manager
*Intellectual Property Manager
*Licensing Associate/Licensing Liaison
*Biological Materials Specialist
*Industrial Contracts Officer
*Technology Licensing Officer
*Associate Officer
*Technology Licensing Associates
*Patent Coordinator/Patent Administrator
*IP Portfolio Specialist
*MTA Coordinator
*Sponsored Research Administrator
*Technology Transfer Specialist/Technology Transfer Associate
*Contracts Associate
*Portfolio Director
*Contracts Specialist
*Industry Contracts Analyst
*Patent Prosecution Analyst
*(Associate) Director of Intellectual Property
*(Associate) Director of Technology Transfer Policy
*(Associate) Director of Technology Transactions
*(Associate) Director of Agreement Administration
*Senior Associate - watch
*Patent Attorney/Patent Agent/Patent Counsel/Paralegal - watch

====TTO Names====
*Office of Technology Transfer/Technology Transfer Office
*Office of Technology Licensing/Technology Licensing Office
*Office of Technology Development
*Technology Ventures
*Innovation Services
*Intellectual Property & Industry Research Alliances
*InnovationAccess
*Invention Transfer Group
*Technology Development Group
*Office of Business Development
*Office of Technology Commercialization
*Office of Innovation and Commercialization
*Innovation, Technology & Alliances
*Technology & Industry Alliances
*Office for Management of Intellectual Property
*Innovation & Partnerships Office

===University-Affiliated Startups (Patent Assignees)===

==What to get from other people==

Avesh has clinical trial data on wiki and bulk drive (FDA Trials Data), need to build it into normal form, use clinical trials data to rank R&D engagement of universities, will be building up portfolios of different types of companies

Marcela is cleaning up patent data, has given patent assignee names -- got it! Could we filter by country and get strictly American names?

Catherine has zip codes of medical centers, use to look through patent data

==Questions==
*How innovative are universities compared to publicly-traded firms, etc.? (firms: 100 active patents at any given time)
*How do universities license?
*What does the average portfolio look like for universities? (compared to publicly traded, VC-backed, etc)
*What can explain the differences in rankings? (size, quality of universities, TTOs and quality/experience of workers - searched LinkedIns, geography, entrepreneurship programs, NIH/NSF grants)

==To Do==

1. lit review (look at for 1-2 days), look for holistic picture, what has/hasn’t been done? what are the questions people are asking? (DONE)

2. look at patent data, determine how to find universities in patent database: board of regents, universities in patent data (find patterns associated with university assignees) (DONE)

3. get list of patent assignees with countries attached (DONE - Marcela gave us a list of all american assignees)
===What We Have===

*List of all post-secondary institutions (University Accreditation 3.2016_trim) - U.S. Department of Education
*Classification of universities (Carnegie Classification 2015) - Carnegie Classification
** includes all accredited degree-granting colleges and universities that are included in the National Center for Education Statistics Integrated Postsecondary Education Data System (IPEDS).
** Coverage: 4666 institutions of higher learning
** Variables: includes 94 variables
*** Enrollment data - subdivided into graduate and undergraduate
*** degrees conferred - divided into level and division
*** information on faculty (number, divided into levels i.e. assistant, assoc. and full time)
*** non-faculty research staff (includes post docs)
*** Science and Engineering Research and Development expenditures
*** Non-STEM research and Development expenditures
*Amount spent on R&D (Higher Ed R&D Rankings) - National Science Foundation
** includes just total R&D expenditures
*STTR full data 1995-2015 (STTRData) - Small Business Administration
*University Patent Numbers 1969-2012 - USPTO
*Wikipedia crawler for university pages - Endowment, Academic staff, Administrative staff, Students, Undergraduates, Postgraduates -- we have most of this data in the Carnegie except for Endowment
*Patents from NIH grants

===What We Need===

*List of university-affiliated startups
**looks like AUTM STATT data has this because it was used in a study by Yael Hochberg [https://papers.ssrn.com/sol3/papers2.cfm?abstract_id=2418000]
**[https://www.forbes.com/sites/liyanchen/2015/07/29/americas-most-entrepreneurial-research-universities-2015/#3cb9829b3823| Rankings of Research Universities (2015)]
**FORBES ranked the country’s most entrepreneurial schools based on the numbers of alumni and students who have identified themselves as founders and business owners on LinkedIn (adjusted to total student body size). This year we rank both research universities and [https://www.forbes.com/sites/liyanchen/2015/07/29/americas-most-entrepreneurial-colleges-2015/#2b2909e04604| smaller colleges] separately.
*data about TTOs (# and quality of employees)
**LinkedIn crawler: working with Jeemin and Peter
*AUTM academic licensing data [http://www.autm.net/statt]

==Lit Reviews==

===Thursby, J. & Thursby, M.: Who Is Selling the Ivory Tower? Sources of Growth in University Licensing (2002)===

[http://pubsonline.informs.org/doi/pdf/10.1287/mnsc.48.1.90.14271]

@article{thursby2002who,
title={Who Is Selling the Ivory Tower? Sources of Growth in University Licensing},
author={Thursby, Jerry G. and Thursby, Marie C.},
journal={Management Science},
volume={48},
number={1},
pages={90--104},
year={2002},
publisher={INFORMS},
filename={Thursby Thursby (2002) - Who Is Selling the Ivory Tower}
}

*Reliance of industry on university inventions has increased
**AUTM surveys show 7.1% growth in yearly inventions disclosure from 1994-1998 for 64 universities that responded every year
*Primary reason for more disclosures may be increased propensity for faculty to disclose, rather than change in research focus
*Universities becoming more receptive to industry contracts
*Negative total TFP growth of licenses executed (-1.7% annual growth) - growth in disclosures and patent applications greater than the corresponding growth in licenses executed.
**Marginal university innovation offered to the market has declined in commercial appeal
**Universities are delving more deeply into the available pool of innovations to increase commercial activities
*No evidence on the importance of learning by doing on the part of TTOs except to note negative association between TTO growth and TFP growth in licensing
**Suggests at least the possibility of learning by doing effects

'''Other literature'''

*On the role of patents and publications in the transfer process: Adams 1990, Henderson et al. 1998, and Jaffe et al. 1993
*On consulting, sponsored research or institutional ties: Cohen et al. 1998; Mansfield 1995; Zucker et al. 1994, 1998
*On the nature of university licensing: Jensen and Thursby 2001, Mowery et al. 2001a,b, Mowery et al. 2001, Siegel et al. 1999, Thursby et al. 2001, Thursby and Kemp 2001

===Thursby, J., Jensen, Thursby, M.: Objectives, Characteristics and Outcomes of University Licensing: A Survey of Major U.S. Universities (2001)===

[https://pdfs.semanticscholar.org/637f/048c05ee83eb84a914f69e087f52acea1b6c.pdf]

@article{thursby2001objectives,
title={Objectives, Characteristics and Outcomes of University Licensing: A Survey of Major U.S. Universities},
author={Thursby, Jerry G., Jensen, Richard, and Thursby, Marie C.},
journal={The Journal of Technology Transfer},
volume={26},
number={1},
pages={59--72},
year={2001},
publisher={Springer},
abstract={This paper describes results of our survey of licensing at 62 research universities. We consider ownership, income splits, stage of development, marketing, license policies and characteristics, goals of licensing and the role of the inventor in licensing. Based on these results we analyze the relationship between licensing outcomes and both the objectives of the TTO and the characteristics of the technologies. Patent applications grow one-to-one with disclosures, while sponsored research grows similarly with licenses executed. Royalties are typically larger the higher the quality of the faculty and the higher the fraction of licenses that are executed at latter stages of development. Sponsored research is more likely to be included in a license if the new technology is at an early stage of development or if the TTO evaluates it as important. We find that additional disclosures generate smaller percentage increases in licenses, and those increases in licenses generate smaller percentage increases in royalties.},
filename={Thursby et al (2001) - Objectives, Characteristics and Outcomes of University Licensing}
}

*University licensing has increased dramatically post-Bayh-Dole (1980)
**According to AUTM 1996, licenses executed increased 75% from 1991-1996, (total: 13,087)
*Survey of TTOs of 62 major US universities
**Majority of universities retain titles to inventions
**All universities split income with inventors
**Royalties generate most of the revenue of licensing

*Open question: Is the increased propensity of faculty to disclose a response to financial incentives or an increase in the effectiveness of TTOs in inducing disclosure?

Survey
*62/135 universities responded
*63% public, and 62% of public universities that responded were land-grant
*37% private
*average industry sponsored research $16.9 mil, federally sponsored $149.6 mil (1996)
*average TTO: 26.3 licenses executed, 92.3 invention disclosures, 30.1 new patent apps, $4.2 mil income (1996)
*35% of respondents had reorganized TTO since 1990
*90% of universities allow faculty to establish and operate businesses based on technology owned by university but developed in faculty's research
*Inventions disclosed: 33% med schools, 29% engineering, 22% science, 6% agriculture, 10% other
*Majority of invention disclosures in nascent stage (proof of concept - 45% or prototype - 37%)
*Patents often applied for after knowing commercial viability, licensed technologies often not protected by patents
*60% of universities said small companies more likely to take early stage technologies and large companies more likely to take late stage - small firms may have advantage in "innovative" research (Holmstrom 1989)
*TTOs obtain smaller upfront fees the more uncertain the technology being licensed is
*Universities usually do not take equity in the license

Regression of licensing outcomes

[[File:LicensingOutcomeReg.png|500px]]

*Dependent variables: royalties, sponsored research, patents (new applications), licenses executed
*Independent variables: importance of outcome to TTO, types of inventions, measure of size of university's licensing operation/potential
*Logs of all variables except indicator variables
*Probit for frequency of sponsored research
*INVDIS: number of disclosures
*TTOSIZE: number of licensing individuals
*TTOEVAL_1 = 1: if TTOs that said licenses/patents are "not very important"
*TTOEVAL_2 = 1: if TTOs that said licenses/patents are "moderately important"
*PROOF: % of licensed disclosures that were "proof of concept but no prototype"
*PTYPE: "Prototype available but only lab scale"
*MEDSCHL: 1 if med school exists
*QUAL: academic quality of faculty (1993 NRC's survey results of academic quality of Ph.D. granting departments)
*LICENSES: number of licenses executed
*SPONRES: amount of sponsored research
*SPONFREQ: frequency that sponsored research is tied to license (according to TTO)
*patent apps grow 1-to-1 with disclosures
*sponsored research grows with licenses executed
*more licenses executed at universities with large TTOs and med schools
*higher royalties with higher quality of faculty and higher fraction of licenses executed at later stages of development
*additional disclosures generate smaller % increases in licenses, which generate smaller % increases in royalties (TTOs generally effective at tapping pool of available technologies in their universities)

===Thursby, J., Fuller, Thursby, M.: US Faculty Patenting: Inside and Outside the University (2009)===

[http://www.nber.org/papers/w13256.pdf]

@article{thursby2009us,
title = "US Faculty Patenting: Inside and Outside the University",
author = "Jerry G. Thursby, Anne W. Fuller, and Marie C. Thursby",
journal={Research Policy},
volume={38},
number={1},
pages={14--25},
year={2009},
publisher={Elsevier},
abstract = {This paper examines the empirical anomaly that in a sample of 5811 patents on which US faculty are listed as inventors, 26% of the patents are assigned solely to firms rather than to the faculty member's university as is dictated by US university employment policies or the Bayh Dole Act. In this paper we estimate a series of probability models of assignment as a function of patent characteristics, university policy, and inventor fields in order to examine the extent to which outside assignment is nefarious or comes from legitimate activities, such as consulting. Patents assigned to firms (whether established or start-ups with inventor as principal) are less basic than those assigned to universities suggesting these patents result from faculty consulting. A higher inventor share increases the likelihood of university assignment as compared with assignment to a firm in which the inventor is a principal but it has no effect on consulting with established firms versus assignment to the university. Faculty in the physical sciences and engineering are more likely to assign their patents to established firms than those in biological sciences.},
filename={Thursby et al (2009) - US Faculty Patenting},
}

*only 62.4% of patents by university faculty members of 87 universities were assigned solely to universities
*identifying US university patents by institutional assignment misses significant percentage of faculty innovation in US universities
*higher inventor share increases likelihood of university assignment compared with assignment to a firm where inventor is principal
*possibilities: faculty in low share universities may be more willing to seek outside remuneration via assignment to start-up where they are principal; revenue shares may not affect startup activity but simply reduce number of inventions disclosed to university

Sources
*Faculty names from NRC
*Compared with inventor names in NBER Patent Database
*Excluded faculty who do not patent

Patent/Inventor Pairs
*MIT: 315
*Wisconsin: 232
*Stanford: 223
*UC San Diego: 216
*UC Berkeley: 207

Out of 5811 patents:
*1513 assigned solely to firms
*241 assigned to both firms and universities
*327 unassigned
*faculty are principals in assignee firms for 32.3% of patents assigned solely to firms and 24% of patents assigned to both (lower bound)

=== Valdivia: University Start-ups: Critical for Improving Technology Transfer (2013) ===

[https://www.brookings.edu/wp-content/uploads/2016/06/Valdivia_Tech-Transfer_v29_No-Embargo.pdf]

*Current emphasis on licensing patents, but most university TTOs do not generate enough to cover operating expenses
*Asymmetry in distribution of resources across the university system, only a few universities benefit from high licensing revenues
**top 8 universities took 50% of licensing income, top 16 universities took nearly 75% of income
**only 37 universities have been in the top 20 during the last decade (listed in University Patents > LicensingGrossIncome2003-2012.txt)
*Universities face much more pressure to demonstrate the economic impact of their R&D contracts
**97.6% of total public contracts obtained by universities are for basic/applied research
**2% of university research delivers ready-to-use technologies
**academic research is much more dependent on government funding than industry research is
*Government pressure for universities to be more responsive to market forces, more entrepreneurial, more attuned to needs of industry
*TTOs are costly to universities
*1979: 30 universities with TTO -> 1999: 174 universities (AUTM)
*2010: 206 US universities have very high or high research activity, all with TTOs (but not all report to AUTM) (Carnegie Classification of Higher Education)
*Over last 20 years, 87% of universities did not break even
*Clash between aims of university (non-profit) and TTO (essentially a business unit)
*By nurturing start-ups, TTOs can add most economic value to an invention disclosure
*2003: universities initiated 330 startups, 2012: 647 startups
*2012: 3715 operating university startups, almost double the number in 2000 (AUTM 2013)
*Startups mitigate financial risk by reducing reliance on blockbuster patents, increase diversification of portfolio
*Policy proposal: the government should increase funding for Small Business Technology Transfer Program (directed to university start-ups)
**H.R.2981: reapportions STTR funds at 0.05% in the next 2 years and 0.1% henceforth for university enterprises at proof of concept stage
*Should increase portion that agencies set aside for STTR
**STTR should have Phase III like SBIR to fund commercialization efforts
*Need equitable distribution across university system

=== The Bayh-Dole Act and High-Technology Entrepreneurship in U.S. Universities: Chicken, Egg, or Something Else? (2004) ===

[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.484.1612&rep=rep1&type=pdf]

==== Findings ====

* University research has an unusually significant impact on industrial innovation in the biomedical sector
* " This work also suggests that academic research rarely produces “prototypes” of inventions for development
and commercialization by industry—instead, academic research informs the methods and disciplines
employed by firms in their R&D facilities."
* The U.S. higher education system is much larger and more heterogenous than other developed countries - this encourages competition
* The passage of the Bayh-Dole Act was one part of a broader shift in U.S. policy toward stronger
intellectual property rights
* "Universities increased their share of patenting from less than 0.3% in 1963 to nearly 4% by 1999, but the rate of growth in this share begins to accelerate before rather than after 1980."
* "the Act's provisions expressed Congressional support for the negotiation of exclusive licenses between universities and industrial firms for the results of federally funded research"
* licensing revenues account for only a miniscule portion of universities' overall academic budgets
* the acceleration in growth of patenting and licensing began before the passage of the Bayh-Dole Act so this acceleration cannot be wholly attributed to the Act
* "the flow of knowledge and technology between university and industrial research is a two-way flow," despite previous characterization as wholly from academia to industry
* patents seem to be "especially important channels for technology transfer" in the biomedical sector

==== Data Sources ====
* 5 different case studies
1. Cotransformation: a process to transfer genes into mammalian cells (Columbia University).

2. Gallium Nitride: a semiconductor with both military and commercial applications (University of California).

3. Xalatan: a glaucoma treatment (Columbia University).

4. Ames II Tests: a bacteria assay for testing potential carcinogenic properties of pharmaceuticals and cosmetics (University of California).

5. Soluble CD4: a prototype for a drug to fight AIDS (Columbia University).

==== Critiques ====
* focuses on case studies as source of data

===Dornbusch, Schmoch, Schulze, Bethke: Identification of University-Based Patents: A New Large-Scale Approach (2012)===

[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.722.1368&rep=rep1&type=pdf]

Specific for German case, but certain points can help us

European convergence to US model (Bayh-Dole seen as main driver behind growing patent portfolios of US universities)

*University-owned patents (assigned to universities or their TTOs) and university-invented patents (assigned to university-affiliated authors)

Matching lists: traditional matching of lists of university staff/professors with inventor data
*time-consuming, costly, possibly not updated
*typically limited to tenured professors
*does not include Ph.D. students, assistants, lecturers

Matched authors of scientific publications and inventors on patents
*beware of homonyms

Patent data from EPO Worldwide Patent Statistical Database (PATSTAT)

Publication data from Elsevier (Scopus)

Country of origin: Inventor Country/Assignee Country/Applicant Country = Germany, Location of Organization to which author is affiliated =Germany
*Restrict dataset to authors from German organizations and inventors with residence in Germany

The organization

Names: To keep precision high, leave out names with initials only

Location: Postal/zip codes (PATSTAT provides address of inventor's residence, SCOPUS provides info for organization, 96.5% of first digit of inventor and organization postal codes are the same, 85.9% first two digits)

Time window: 2-year window between application and publication date

=== Singh A. and Wong P.K: University patenting activities and their link to the quantity and quality of scientific publications (2009) ===

[https://pdfs.semanticscholar.org/bb3a/df09ca693cdcff6c1f6aaf18113cabec2655.pdf]
==== Findings ====
* patenting by 281 leading world universities has consistently grown faster than general American patenting from 1977 - 2000
* North American university patenting growth has slowed relative to universities outside North America since the mid-1990s
* Between 2003-2005, they found that university patenting output has significant correlation with the both the quality and quantity of scientific publishing in North America
* In European and Australian universities, patenting correlated only with the quantity of scientific publishing, not with the quality
* In universities Europe, Australia, and North America, patenting correlated only with the quality of scientific publishing

==== Data Sources ====
* USPTO Patenting Data
* Shanghai Jia Tong University's Academic Ranking of World Universities (ARWU)
* Times Higher Education Supplement's World University Ranking (WUR)
* Quantity was measured by counts of publications
* Quality was measured by citations to said publications
* the relationship between research and patenting was evaluated in two ways
** At the institutional level: patents assigned to universities
** At the individual level: patents with university researchers as the inventors

==== Critiques ====
* citations are not really a perfect measure of research quality and citations have little to do with practical use of the study (i.e. how much technological innovation is generated as a result of academic research publications)

==== Other Discoveries ====

* Study by Landry R., Amara N., and Saihi, M. (2006)
* (Owen Smith and Powell 2003) found that "organizations involved in technological commercialization tend to have higher publication rates than those who are not"
* (Lach and Schankerman 2003) found that "licensing revenues at the university level are positively influenced by publication citations per faculty"

Meghana Pannala (Work Log)

2017-03-03T19:20:35Z

Meghanapannala:

University Patents

2017-03-03T17:05:38Z

Meghanapannala: /* What We Have */

{{McNair Projects
|Has title=University Patents
|Has owner=Julia Wang
|Has keywords=Patent
|Has notes=
|Is dependent on=
|Depends upon it=
|Has project status=Active
}}

==Project Overview==
Goal: list of all universities and # of patents associated with each university and patent licensing activity

patent reassignment to startups associated with these universities

clinical trials (from Catherine) data to rank universities R&D engagement

identify list of universities: board of regents, universities in patent data (find patterns associated with university assignees) -- @Julia: Where did we get this list? I'd love to be able filter by country - Meghana

AUTM?

==Key Words==

===Universities (Patent Assignees)===
BOARD OF REGENTS - pretty much exclusively describes universities

UNIVERSITY - also exclusively describes universities
*Can we do a close match with University? (its the only word on this list that's frequently misspelled)

SCHOOL - often used in combination with medicine or medical to describe medical schools
*also are used to describe actual schools (i.e. HISD) and other businesses
*sometimes present in addresses - can we cut off the adresses?
*also used in combination with Business (i.e. Harvard Business School)
*use school only in conjuction with medical, medicine, and business

COLLEGE
*need to cut off addresses for this to work
*need to ensure that we include the space after
*excl. College Boulevard, college blvd, etc.
*double check everything with College Park

INSTITUTE OF TECHNOLOGY - almost exclusively describes universities but sometimes describes external research institutes

POLYTECHNIC - exclusively university (i.e. RPI, Virginia Tech)

RESEARCH FOUNDATION: VAST majority are university
*Exclusions: it's really difficult to distinguish between university affiliated and not, besides just looking them up on the google
**Novartis
**Progeria
**Washington Research Foundation
**Blood Center of Wisconsins
**Mental Hygiene
**Celiac Sprue
**Fidia
**Samuel Waxman Cancer Center
***founded by a faculty member at Mt. Sinai Medical School,not affil w/a single university but researchers are also usually faculty at various universities
**lifenet
**HealthPartners
**Dr. Susan Love
**La Jolla Cancer Research Foundation
**Children's Hospital (? grants degrees but is a hospital system)
**Medforte
**International Mask
**Palo Alto Medical Foundation

====Exclusions====
*LLC
*LLP

===Technology Transfer Offices===

====Job Titles====
*Patent Portfolio Manager
*Intellectual Property Manager
*Licensing Associate/Licensing Liaison
*Biological Materials Specialist
*Industrial Contracts Officer
*Technology Licensing Officer
*Associate Officer
*Technology Licensing Associates
*Patent Coordinator/Patent Administrator
*IP Portfolio Specialist
*MTA Coordinator
*Sponsored Research Administrator
*Technology Transfer Specialist/Technology Transfer Associate
*Contracts Associate
*Portfolio Director
*Contracts Specialist
*Industry Contracts Analyst
*Patent Prosecution Analyst
*(Associate) Director of Intellectual Property
*(Associate) Director of Technology Transfer Policy
*(Associate) Director of Technology Transactions
*(Associate) Director of Agreement Administration
*Senior Associate - watch
*Patent Attorney/Patent Agent/Patent Counsel/Paralegal - watch

====TTO Names====
*Office of Technology Transfer/Technology Transfer Office
*Office of Technology Licensing/Technology Licensing Office
*Office of Technology Development
*Technology Ventures
*Innovation Services
*Intellectual Property & Industry Research Alliances
*InnovationAccess
*Invention Transfer Group
*Technology Development Group
*Office of Business Development
*Office of Technology Commercialization
*Office of Innovation and Commercialization
*Innovation, Technology & Alliances
*Technology & Industry Alliances
*Office for Management of Intellectual Property
*Innovation & Partnerships Office

===University-Affiliated Startups (Patent Assignees)===

==What to get from other people==

Avesh has clinical trial data on wiki and bulk drive (FDA Trials Data), need to build it into normal form, use clinical trials data to rank R&D engagement of universities, will be building up portfolios of different types of companies

Marcela is cleaning up patent data, has given patent assignee names -- got it! Could we filter by country and get strictly American names?

Catherine has zip codes of medical centers, use to look through patent data

==Questions==
*How innovative are universities compared to publicly-traded firms, etc.? (firms: 100 active patents at any given time)
*How do universities license?
*What does the average portfolio look like for universities? (compared to publicly traded, VC-backed, etc)
*What can explain the differences in rankings? (size, quality of universities, TTOs and quality/experience of workers - searched LinkedIns, geography, entrepreneurship programs, NIH/NSF grants)

==To Do==

1. lit review (look at for 1-2 days), look for holistic picture, what has/hasn’t been done? what are the questions people are asking? (DONE)

2. look at patent data, determine how to find universities in patent database: board of regents, universities in patent data (find patterns associated with university assignees) (DONE)

3. get list of patent assignees with countries attached (DONE - Marcela gave us a list of all american assignees)
===What We Have===

*List of all post-secondary institutions (University Accreditation 3.2016_trim) - U.S. Department of Education
*Classification of universities (Carnegie Classification 2015) - Carnegie Classification
** includes all accredited degree-granting colleges and universities that are included in the National Center for Education Statistics Integrated Postsecondary Education Data System (IPEDS).
** Coverage: 4666 institutions of higher learning
** Variables: includes 94 variables
*** Enrollment data - subdivided into graduate and undergraduate
*** degrees conferred - divided into level and division
*** information on faculty (number, divided into levels i.e. assistant, assoc. and full time)
*** non-faculty research staff (includes post docs)
*** Science and Engineering Research and Development expenditures
*** Non-STEM research and Development expenditures
*Amount spent on R&D (Higher Ed R&D Rankings) - National Science Foundation
** includes just total R&D expenditures
*STTR full data 1995-2015 (STTRData) - Small Business Administration
*University Patent Numbers 1969-2012 - USPTO
*Wikipedia crawler for university pages - Endowment, Academic staff, Administrative staff, Students, Undergraduates, Postgraduates -- we have most of this data in the Carnegie except for Endowment

===What We Need===

*List of university-affiliated startups
**looks like AUTM STATT data has this because it was used in a study by Yael Hochberg [https://papers.ssrn.com/sol3/papers2.cfm?abstract_id=2418000]
**[https://www.forbes.com/sites/liyanchen/2015/07/29/americas-most-entrepreneurial-research-universities-2015/#3cb9829b3823| Rankings of Research Universities (2015)]
**FORBES ranked the country’s most entrepreneurial schools based on the numbers of alumni and students who have identified themselves as founders and business owners on LinkedIn (adjusted to total student body size). This year we rank both research universities and [https://www.forbes.com/sites/liyanchen/2015/07/29/americas-most-entrepreneurial-colleges-2015/#2b2909e04604| smaller colleges] separately.
*data about TTOs (# and quality of employees)
**LinkedIn crawler: working with Jeemin and Peter
*AUTM academic licensing data [http://www.autm.net/statt]

==Lit Reviews==

===Thursby, J. & Thursby, M.: Who Is Selling the Ivory Tower? Sources of Growth in University Licensing (2002)===

[http://pubsonline.informs.org/doi/pdf/10.1287/mnsc.48.1.90.14271]

@article{thursby2002who,
title={Who Is Selling the Ivory Tower? Sources of Growth in University Licensing},
author={Thursby, Jerry G. and Thursby, Marie C.},
journal={Management Science},
volume={48},
number={1},
pages={90--104},
year={2002},
publisher={INFORMS},
filename={Thursby Thursby (2002) - Who Is Selling the Ivory Tower}
}

*Reliance of industry on university inventions has increased
**AUTM surveys show 7.1% growth in yearly inventions disclosure from 1994-1998 for 64 universities that responded every year
*Primary reason for more disclosures may be increased propensity for faculty to disclose, rather than change in research focus
*Universities becoming more receptive to industry contracts
*Negative total TFP growth of licenses executed (-1.7% annual growth) - growth in disclosures and patent applications greater than the corresponding growth in licenses executed.
**Marginal university innovation offered to the market has declined in commercial appeal
**Universities are delving more deeply into the available pool of innovations to increase commercial activities
*No evidence on the importance of learning by doing on the part of TTOs except to note negative association between TTO growth and TFP growth in licensing
**Suggests at least the possibility of learning by doing effects

'''Other literature'''

*On the role of patents and publications in the transfer process: Adams 1990, Henderson et al. 1998, and Jaffe et al. 1993
*On consulting, sponsored research or institutional ties: Cohen et al. 1998; Mansfield 1995; Zucker et al. 1994, 1998
*On the nature of university licensing: Jensen and Thursby 2001, Mowery et al. 2001a,b, Mowery et al. 2001, Siegel et al. 1999, Thursby et al. 2001, Thursby and Kemp 2001

===Thursby, J., Jensen, Thursby, M.: Objectives, Characteristics and Outcomes of University Licensing: A Survey of Major U.S. Universities (2001)===

[https://pdfs.semanticscholar.org/637f/048c05ee83eb84a914f69e087f52acea1b6c.pdf]

@article{thursby2001objectives,
title={Objectives, Characteristics and Outcomes of University Licensing: A Survey of Major U.S. Universities},
author={Thursby, Jerry G., Jensen, Richard, and Thursby, Marie C.},
journal={The Journal of Technology Transfer},
volume={26},
number={1},
pages={59--72},
year={2001},
publisher={Springer},
abstract={This paper describes results of our survey of licensing at 62 research universities. We consider ownership, income splits, stage of development, marketing, license policies and characteristics, goals of licensing and the role of the inventor in licensing. Based on these results we analyze the relationship between licensing outcomes and both the objectives of the TTO and the characteristics of the technologies. Patent applications grow one-to-one with disclosures, while sponsored research grows similarly with licenses executed. Royalties are typically larger the higher the quality of the faculty and the higher the fraction of licenses that are executed at latter stages of development. Sponsored research is more likely to be included in a license if the new technology is at an early stage of development or if the TTO evaluates it as important. We find that additional disclosures generate smaller percentage increases in licenses, and those increases in licenses generate smaller percentage increases in royalties.},
filename={Thursby et al (2001) - Objectives, Characteristics and Outcomes of University Licensing}
}

*University licensing has increased dramatically post-Bayh-Dole (1980)
**According to AUTM 1996, licenses executed increased 75% from 1991-1996, (total: 13,087)
*Survey of TTOs of 62 major US universities
**Majority of universities retain titles to inventions
**All universities split income with inventors
**Royalties generate most of the revenue of licensing

*Open question: Is the increased propensity of faculty to disclose a response to financial incentives or an increase in the effectiveness of TTOs in inducing disclosure?

Survey
*62/135 universities responded
*63% public, and 62% of public universities that responded were land-grant
*37% private
*average industry sponsored research $16.9 mil, federally sponsored $149.6 mil (1996)
*average TTO: 26.3 licenses executed, 92.3 invention disclosures, 30.1 new patent apps, $4.2 mil income (1996)
*35% of respondents had reorganized TTO since 1990
*90% of universities allow faculty to establish and operate businesses based on technology owned by university but developed in faculty's research
*Inventions disclosed: 33% med schools, 29% engineering, 22% science, 6% agriculture, 10% other
*Majority of invention disclosures in nascent stage (proof of concept - 45% or prototype - 37%)
*Patents often applied for after knowing commercial viability, licensed technologies often not protected by patents
*60% of universities said small companies more likely to take early stage technologies and large companies more likely to take late stage - small firms may have advantage in "innovative" research (Holmstrom 1989)
*TTOs obtain smaller upfront fees the more uncertain the technology being licensed is
*Universities usually do not take equity in the license

Regression of licensing outcomes

[[File:LicensingOutcomeReg.png|500px]]

*Dependent variables: royalties, sponsored research, patents (new applications), licenses executed
*Independent variables: importance of outcome to TTO, types of inventions, measure of size of university's licensing operation/potential
*Logs of all variables except indicator variables
*Probit for frequency of sponsored research
*INVDIS: number of disclosures
*TTOSIZE: number of licensing individuals
*TTOEVAL_1 = 1: if TTOs that said licenses/patents are "not very important"
*TTOEVAL_2 = 1: if TTOs that said licenses/patents are "moderately important"
*PROOF: % of licensed disclosures that were "proof of concept but no prototype"
*PTYPE: "Prototype available but only lab scale"
*MEDSCHL: 1 if med school exists
*QUAL: academic quality of faculty (1993 NRC's survey results of academic quality of Ph.D. granting departments)
*LICENSES: number of licenses executed
*SPONRES: amount of sponsored research
*SPONFREQ: frequency that sponsored research is tied to license (according to TTO)
*patent apps grow 1-to-1 with disclosures
*sponsored research grows with licenses executed
*more licenses executed at universities with large TTOs and med schools
*higher royalties with higher quality of faculty and higher fraction of licenses executed at later stages of development
*additional disclosures generate smaller % increases in licenses, which generate smaller % increases in royalties (TTOs generally effective at tapping pool of available technologies in their universities)

===Thursby, J., Fuller, Thursby, M.: US Faculty Patenting: Inside and Outside the University (2009)===

[http://www.nber.org/papers/w13256.pdf]

@article{thursby2009us,
title = "US Faculty Patenting: Inside and Outside the University",
author = "Jerry G. Thursby, Anne W. Fuller, and Marie C. Thursby",
journal={Research Policy},
volume={38},
number={1},
pages={14--25},
year={2009},
publisher={Elsevier},
abstract = {This paper examines the empirical anomaly that in a sample of 5811 patents on which US faculty are listed as inventors, 26% of the patents are assigned solely to firms rather than to the faculty member's university as is dictated by US university employment policies or the Bayh Dole Act. In this paper we estimate a series of probability models of assignment as a function of patent characteristics, university policy, and inventor fields in order to examine the extent to which outside assignment is nefarious or comes from legitimate activities, such as consulting. Patents assigned to firms (whether established or start-ups with inventor as principal) are less basic than those assigned to universities suggesting these patents result from faculty consulting. A higher inventor share increases the likelihood of university assignment as compared with assignment to a firm in which the inventor is a principal but it has no effect on consulting with established firms versus assignment to the university. Faculty in the physical sciences and engineering are more likely to assign their patents to established firms than those in biological sciences.},
filename={Thursby et al (2009) - US Faculty Patenting},
}

*only 62.4% of patents by university faculty members of 87 universities were assigned solely to universities
*identifying US university patents by institutional assignment misses significant percentage of faculty innovation in US universities
*higher inventor share increases likelihood of university assignment compared with assignment to a firm where inventor is principal
*possibilities: faculty in low share universities may be more willing to seek outside remuneration via assignment to start-up where they are principal; revenue shares may not affect startup activity but simply reduce number of inventions disclosed to university

Sources
*Faculty names from NRC
*Compared with inventor names in NBER Patent Database
*Excluded faculty who do not patent

Patent/Inventor Pairs
*MIT: 315
*Wisconsin: 232
*Stanford: 223
*UC San Diego: 216
*UC Berkeley: 207

Out of 5811 patents:
*1513 assigned solely to firms
*241 assigned to both firms and universities
*327 unassigned
*faculty are principals in assignee firms for 32.3% of patents assigned solely to firms and 24% of patents assigned to both (lower bound)

=== Valdivia: University Start-ups: Critical for Improving Technology Transfer (2013) ===

[https://www.brookings.edu/wp-content/uploads/2016/06/Valdivia_Tech-Transfer_v29_No-Embargo.pdf]

*Current emphasis on licensing patents, but most university TTOs do not generate enough to cover operating expenses
*Asymmetry in distribution of resources across the university system, only a few universities benefit from high licensing revenues
**top 8 universities took 50% of licensing income, top 16 universities took nearly 75% of income
**only 37 universities have been in the top 20 during the last decade (listed in University Patents > LicensingGrossIncome2003-2012.txt)
*Universities face much more pressure to demonstrate the economic impact of their R&D contracts
**97.6% of total public contracts obtained by universities are for basic/applied research
**2% of university research delivers ready-to-use technologies
**academic research is much more dependent on government funding than industry research is
*Government pressure for universities to be more responsive to market forces, more entrepreneurial, more attuned to needs of industry
*TTOs are costly to universities
*1979: 30 universities with TTO -> 1999: 174 universities (AUTM)
*2010: 206 US universities have very high or high research activity, all with TTOs (but not all report to AUTM) (Carnegie Classification of Higher Education)
*Over last 20 years, 87% of universities did not break even
*Clash between aims of university (non-profit) and TTO (essentially a business unit)
*By nurturing start-ups, TTOs can add most economic value to an invention disclosure
*2003: universities initiated 330 startups, 2012: 647 startups
*2012: 3715 operating university startups, almost double the number in 2000 (AUTM 2013)
*Startups mitigate financial risk by reducing reliance on blockbuster patents, increase diversification of portfolio
*Policy proposal: the government should increase funding for Small Business Technology Transfer Program (directed to university start-ups)
**H.R.2981: reapportions STTR funds at 0.05% in the next 2 years and 0.1% henceforth for university enterprises at proof of concept stage
*Should increase portion that agencies set aside for STTR
**STTR should have Phase III like SBIR to fund commercialization efforts
*Need equitable distribution across university system

=== The Bayh-Dole Act and High-Technology Entrepreneurship in U.S. Universities: Chicken, Egg, or Something Else? (2004) ===

[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.484.1612&rep=rep1&type=pdf]

==== Findings ====

* University research has an unusually significant impact on industrial innovation in the biomedical sector
* " This work also suggests that academic research rarely produces “prototypes” of inventions for development
and commercialization by industry—instead, academic research informs the methods and disciplines
employed by firms in their R&D facilities."
* The U.S. higher education system is much larger and more heterogenous than other developed countries - this encourages competition
* The passage of the Bayh-Dole Act was one part of a broader shift in U.S. policy toward stronger
intellectual property rights
* "Universities increased their share of patenting from less than 0.3% in 1963 to nearly 4% by 1999, but the rate of growth in this share begins to accelerate before rather than after 1980."
* "the Act's provisions expressed Congressional support for the negotiation of exclusive licenses between universities and industrial firms for the results of federally funded research"
* licensing revenues account for only a miniscule portion of universities' overall academic budgets
* the acceleration in growth of patenting and licensing began before the passage of the Bayh-Dole Act so this acceleration cannot be wholly attributed to the Act
* "the flow of knowledge and technology between university and industrial research is a two-way flow," despite previous characterization as wholly from academia to industry
* patents seem to be "especially important channels for technology transfer" in the biomedical sector

==== Data Sources ====
* 5 different case studies
1. Cotransformation: a process to transfer genes into mammalian cells (Columbia University).

2. Gallium Nitride: a semiconductor with both military and commercial applications (University of California).

3. Xalatan: a glaucoma treatment (Columbia University).

4. Ames II Tests: a bacteria assay for testing potential carcinogenic properties of pharmaceuticals and cosmetics (University of California).

5. Soluble CD4: a prototype for a drug to fight AIDS (Columbia University).

==== Critiques ====
* focuses on case studies as source of data

===Dornbusch, Schmoch, Schulze, Bethke: Identification of University-Based Patents: A New Large-Scale Approach (2012)===

[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.722.1368&rep=rep1&type=pdf]

Specific for German case, but certain points can help us

European convergence to US model (Bayh-Dole seen as main driver behind growing patent portfolios of US universities)

*University-owned patents (assigned to universities or their TTOs) and university-invented patents (assigned to university-affiliated authors)

Matching lists: traditional matching of lists of university staff/professors with inventor data
*time-consuming, costly, possibly not updated
*typically limited to tenured professors
*does not include Ph.D. students, assistants, lecturers

Matched authors of scientific publications and inventors on patents
*beware of homonyms

Patent data from EPO Worldwide Patent Statistical Database (PATSTAT)

Publication data from Elsevier (Scopus)

Country of origin: Inventor Country/Assignee Country/Applicant Country = Germany, Location of Organization to which author is affiliated =Germany
*Restrict dataset to authors from German organizations and inventors with residence in Germany

The organization

Names: To keep precision high, leave out names with initials only

Location: Postal/zip codes (PATSTAT provides address of inventor's residence, SCOPUS provides info for organization, 96.5% of first digit of inventor and organization postal codes are the same, 85.9% first two digits)

Time window: 2-year window between application and publication date

=== Singh A. and Wong P.K: University patenting activities and their link to the quantity and quality of scientific publications (2009) ===

[https://pdfs.semanticscholar.org/bb3a/df09ca693cdcff6c1f6aaf18113cabec2655.pdf]
==== Findings ====
* patenting by 281 leading world universities has consistently grown faster than general American patenting from 1977 - 2000
* North American university patenting growth has slowed relative to universities outside North America since the mid-1990s
* Between 2003-2005, they found that university patenting output has significant correlation with the both the quality and quantity of scientific publishing in North America
* In European and Australian universities, patenting correlated only with the quantity of scientific publishing, not with the quality
* In universities Europe, Australia, and North America, patenting correlated only with the quality of scientific publishing

==== Data Sources ====
* USPTO Patenting Data
* Shanghai Jia Tong University's Academic Ranking of World Universities (ARWU)
* Times Higher Education Supplement's World University Ranking (WUR)
* Quantity was measured by counts of publications
* Quality was measured by citations to said publications
* the relationship between research and patenting was evaluated in two ways
** At the institutional level: patents assigned to universities
** At the individual level: patents with university researchers as the inventors

==== Critiques ====
* citations are not really a perfect measure of research quality and citations have little to do with practical use of the study (i.e. how much technological innovation is generated as a result of academic research publications)

==== Other Discoveries ====

* Study by Landry R., Amara N., and Saihi, M. (2006)
* (Owen Smith and Powell 2003) found that "organizations involved in technological commercialization tend to have higher publication rates than those who are not"
* (Lach and Schankerman 2003) found that "licensing revenues at the university level are positively influenced by publication citations per faculty"

University Patents

2017-03-03T16:41:52Z

Meghanapannala: /* What We Have */

{{McNair Projects
|Has title=University Patents
|Has owner=Julia Wang
|Has keywords=Patent
|Has notes=
|Is dependent on=
|Depends upon it=
|Has project status=Active
}}

==Project Overview==
Goal: list of all universities and # of patents associated with each university and patent licensing activity

patent reassignment to startups associated with these universities

clinical trials (from Catherine) data to rank universities R&D engagement

identify list of universities: board of regents, universities in patent data (find patterns associated with university assignees) -- @Julia: Where did we get this list? I'd love to be able filter by country - Meghana

AUTM?

==Key Words==

===Universities (Patent Assignees)===
BOARD OF REGENTS - pretty much exclusively describes universities

UNIVERSITY - also exclusively describes universities
*Can we do a close match with University? (its the only word on this list that's frequently misspelled)

SCHOOL - often used in combination with medicine or medical to describe medical schools
*also are used to describe actual schools (i.e. HISD) and other businesses
*sometimes present in addresses - can we cut off the adresses?
*also used in combination with Business (i.e. Harvard Business School)
*use school only in conjuction with medical, medicine, and business

COLLEGE
*need to cut off addresses for this to work
*need to ensure that we include the space after
*excl. College Boulevard, college blvd, etc.
*double check everything with College Park

INSTITUTE OF TECHNOLOGY - almost exclusively describes universities but sometimes describes external research institutes

POLYTECHNIC - exclusively university (i.e. RPI, Virginia Tech)

RESEARCH FOUNDATION: VAST majority are university
*Exclusions: it's really difficult to distinguish between university affiliated and not, besides just looking them up on the google
**Novartis
**Progeria
**Washington Research Foundation
**Blood Center of Wisconsins
**Mental Hygiene
**Celiac Sprue
**Fidia
**Samuel Waxman Cancer Center
***founded by a faculty member at Mt. Sinai Medical School,not affil w/a single university but researchers are also usually faculty at various universities
**lifenet
**HealthPartners
**Dr. Susan Love
**La Jolla Cancer Research Foundation
**Children's Hospital (? grants degrees but is a hospital system)
**Medforte
**International Mask
**Palo Alto Medical Foundation

====Exclusions====
*LLC
*LLP

===Technology Transfer Offices===

====Job Titles====
*Patent Portfolio Manager
*Intellectual Property Manager
*Licensing Associate/Licensing Liaison
*Biological Materials Specialist
*Industrial Contracts Officer
*Technology Licensing Officer
*Associate Officer
*Technology Licensing Associates
*Patent Coordinator/Patent Administrator
*IP Portfolio Specialist
*MTA Coordinator
*Sponsored Research Administrator
*Technology Transfer Specialist/Technology Transfer Associate
*Contracts Associate
*Portfolio Director
*Contracts Specialist
*Industry Contracts Analyst
*Patent Prosecution Analyst
*(Associate) Director of Intellectual Property
*(Associate) Director of Technology Transfer Policy
*(Associate) Director of Technology Transactions
*(Associate) Director of Agreement Administration
*Senior Associate - watch
*Patent Attorney/Patent Agent/Patent Counsel/Paralegal - watch

====TTO Names====
*Office of Technology Transfer/Technology Transfer Office
*Office of Technology Licensing/Technology Licensing Office
*Office of Technology Development
*Technology Ventures
*Innovation Services
*Intellectual Property & Industry Research Alliances
*InnovationAccess
*Invention Transfer Group
*Technology Development Group
*Office of Business Development
*Office of Technology Commercialization
*Office of Innovation and Commercialization
*Innovation, Technology & Alliances
*Technology & Industry Alliances
*Office for Management of Intellectual Property
*Innovation & Partnerships Office

===University-Affiliated Startups (Patent Assignees)===

==What to get from other people==

Avesh has clinical trial data on wiki and bulk drive (FDA Trials Data), need to build it into normal form, use clinical trials data to rank R&D engagement of universities, will be building up portfolios of different types of companies

Marcela is cleaning up patent data, has given patent assignee names -- got it! Could we filter by country and get strictly American names?

Catherine has zip codes of medical centers, use to look through patent data

==Questions==
*How innovative are universities compared to publicly-traded firms, etc.? (firms: 100 active patents at any given time)
*How do universities license?
*What does the average portfolio look like for universities? (compared to publicly traded, VC-backed, etc)
*What can explain the differences in rankings? (size, quality of universities, TTOs and quality/experience of workers - searched LinkedIns, geography, entrepreneurship programs, NIH/NSF grants)

==To Do==

1. lit review (look at for 1-2 days), look for holistic picture, what has/hasn’t been done? what are the questions people are asking? (DONE)

2. look at patent data, determine how to find universities in patent database: board of regents, universities in patent data (find patterns associated with university assignees) (DONE)

3. get list of patent assignees with countries attached (DONE - Marcela gave us a list of all american assignees)
===What We Have===

*List of all post-secondary institutions (University Accreditation 3.2016_trim) - U.S. Department of Education
*Classification of universities (Carnegie Classification 2015) - Carnegie Classification
** includes all accredited degree-granting colleges and universities that are included in the National Center for Education Statistics Integrated Postsecondary Education Data System (IPEDS).
** Coverage: 4666 institutions of higher learning
** Variables: includes 94 variables
*** Enrollment data - subdivided into graduate and undergraduate
*** degrees conferred - divided into level and division
*** information on faculty (number, divided into levels i.e. assistant, assoc. and full time)
*** non-faculty research staff (includes post docs)
*** Science and Engineering Research and Development expenditures
*** Non-STEM research and Development expenditures
*Amount spent on R&D (Higher Ed R&D Rankings) - National Science Foundation
*STTR full data 1995-2015 (STTRData) - Small Business Administration
*University Patent Numbers 1969-2012 - USPTO
*Wikipedia crawler for university pages - Endowment, Academic staff, Administrative staff, Students, Undergraduates, Postgraduates -- we have most of this data in the Carnegie except for Endowment

===What We Need===

*List of university-affiliated startups
**looks like AUTM STATT data has this because it was used in a study by Yael Hochberg [https://papers.ssrn.com/sol3/papers2.cfm?abstract_id=2418000]
**[https://www.forbes.com/sites/liyanchen/2015/07/29/americas-most-entrepreneurial-research-universities-2015/#3cb9829b3823| Rankings of Research Universities (2015)]
**FORBES ranked the country’s most entrepreneurial schools based on the numbers of alumni and students who have identified themselves as founders and business owners on LinkedIn (adjusted to total student body size). This year we rank both research universities and [https://www.forbes.com/sites/liyanchen/2015/07/29/americas-most-entrepreneurial-colleges-2015/#2b2909e04604| smaller colleges] separately.
*data about TTOs (# and quality of employees)
**LinkedIn crawler: working with Jeemin and Peter
*AUTM academic licensing data [http://www.autm.net/statt]

==Lit Reviews==

===Thursby, J. & Thursby, M.: Who Is Selling the Ivory Tower? Sources of Growth in University Licensing (2002)===

[http://pubsonline.informs.org/doi/pdf/10.1287/mnsc.48.1.90.14271]

@article{thursby2002who,
title={Who Is Selling the Ivory Tower? Sources of Growth in University Licensing},
author={Thursby, Jerry G. and Thursby, Marie C.},
journal={Management Science},
volume={48},
number={1},
pages={90--104},
year={2002},
publisher={INFORMS},
filename={Thursby Thursby (2002) - Who Is Selling the Ivory Tower}
}

*Reliance of industry on university inventions has increased
**AUTM surveys show 7.1% growth in yearly inventions disclosure from 1994-1998 for 64 universities that responded every year
*Primary reason for more disclosures may be increased propensity for faculty to disclose, rather than change in research focus
*Universities becoming more receptive to industry contracts
*Negative total TFP growth of licenses executed (-1.7% annual growth) - growth in disclosures and patent applications greater than the corresponding growth in licenses executed.
**Marginal university innovation offered to the market has declined in commercial appeal
**Universities are delving more deeply into the available pool of innovations to increase commercial activities
*No evidence on the importance of learning by doing on the part of TTOs except to note negative association between TTO growth and TFP growth in licensing
**Suggests at least the possibility of learning by doing effects

'''Other literature'''

*On the role of patents and publications in the transfer process: Adams 1990, Henderson et al. 1998, and Jaffe et al. 1993
*On consulting, sponsored research or institutional ties: Cohen et al. 1998; Mansfield 1995; Zucker et al. 1994, 1998
*On the nature of university licensing: Jensen and Thursby 2001, Mowery et al. 2001a,b, Mowery et al. 2001, Siegel et al. 1999, Thursby et al. 2001, Thursby and Kemp 2001

===Thursby, J., Jensen, Thursby, M.: Objectives, Characteristics and Outcomes of University Licensing: A Survey of Major U.S. Universities (2001)===

[https://pdfs.semanticscholar.org/637f/048c05ee83eb84a914f69e087f52acea1b6c.pdf]

@article{thursby2001objectives,
title={Objectives, Characteristics and Outcomes of University Licensing: A Survey of Major U.S. Universities},
author={Thursby, Jerry G., Jensen, Richard, and Thursby, Marie C.},
journal={The Journal of Technology Transfer},
volume={26},
number={1},
pages={59--72},
year={2001},
publisher={Springer},
abstract={This paper describes results of our survey of licensing at 62 research universities. We consider ownership, income splits, stage of development, marketing, license policies and characteristics, goals of licensing and the role of the inventor in licensing. Based on these results we analyze the relationship between licensing outcomes and both the objectives of the TTO and the characteristics of the technologies. Patent applications grow one-to-one with disclosures, while sponsored research grows similarly with licenses executed. Royalties are typically larger the higher the quality of the faculty and the higher the fraction of licenses that are executed at latter stages of development. Sponsored research is more likely to be included in a license if the new technology is at an early stage of development or if the TTO evaluates it as important. We find that additional disclosures generate smaller percentage increases in licenses, and those increases in licenses generate smaller percentage increases in royalties.},
filename={Thursby et al (2001) - Objectives, Characteristics and Outcomes of University Licensing}
}

*University licensing has increased dramatically post-Bayh-Dole (1980)
**According to AUTM 1996, licenses executed increased 75% from 1991-1996, (total: 13,087)
*Survey of TTOs of 62 major US universities
**Majority of universities retain titles to inventions
**All universities split income with inventors
**Royalties generate most of the revenue of licensing

*Open question: Is the increased propensity of faculty to disclose a response to financial incentives or an increase in the effectiveness of TTOs in inducing disclosure?

Survey
*62/135 universities responded
*63% public, and 62% of public universities that responded were land-grant
*37% private
*average industry sponsored research $16.9 mil, federally sponsored $149.6 mil (1996)
*average TTO: 26.3 licenses executed, 92.3 invention disclosures, 30.1 new patent apps, $4.2 mil income (1996)
*35% of respondents had reorganized TTO since 1990
*90% of universities allow faculty to establish and operate businesses based on technology owned by university but developed in faculty's research
*Inventions disclosed: 33% med schools, 29% engineering, 22% science, 6% agriculture, 10% other
*Majority of invention disclosures in nascent stage (proof of concept - 45% or prototype - 37%)
*Patents often applied for after knowing commercial viability, licensed technologies often not protected by patents
*60% of universities said small companies more likely to take early stage technologies and large companies more likely to take late stage - small firms may have advantage in "innovative" research (Holmstrom 1989)
*TTOs obtain smaller upfront fees the more uncertain the technology being licensed is
*Universities usually do not take equity in the license

Regression of licensing outcomes

[[File:LicensingOutcomeReg.png|500px]]

*Dependent variables: royalties, sponsored research, patents (new applications), licenses executed
*Independent variables: importance of outcome to TTO, types of inventions, measure of size of university's licensing operation/potential
*Logs of all variables except indicator variables
*Probit for frequency of sponsored research
*INVDIS: number of disclosures
*TTOSIZE: number of licensing individuals
*TTOEVAL_1 = 1: if TTOs that said licenses/patents are "not very important"
*TTOEVAL_2 = 1: if TTOs that said licenses/patents are "moderately important"
*PROOF: % of licensed disclosures that were "proof of concept but no prototype"
*PTYPE: "Prototype available but only lab scale"
*MEDSCHL: 1 if med school exists
*QUAL: academic quality of faculty (1993 NRC's survey results of academic quality of Ph.D. granting departments)
*LICENSES: number of licenses executed
*SPONRES: amount of sponsored research
*SPONFREQ: frequency that sponsored research is tied to license (according to TTO)
*patent apps grow 1-to-1 with disclosures
*sponsored research grows with licenses executed
*more licenses executed at universities with large TTOs and med schools
*higher royalties with higher quality of faculty and higher fraction of licenses executed at later stages of development
*additional disclosures generate smaller % increases in licenses, which generate smaller % increases in royalties (TTOs generally effective at tapping pool of available technologies in their universities)

===Thursby, J., Fuller, Thursby, M.: US Faculty Patenting: Inside and Outside the University (2009)===

[http://www.nber.org/papers/w13256.pdf]

@article{thursby2009us,
title = "US Faculty Patenting: Inside and Outside the University",
author = "Jerry G. Thursby, Anne W. Fuller, and Marie C. Thursby",
journal={Research Policy},
volume={38},
number={1},
pages={14--25},
year={2009},
publisher={Elsevier},
abstract = {This paper examines the empirical anomaly that in a sample of 5811 patents on which US faculty are listed as inventors, 26% of the patents are assigned solely to firms rather than to the faculty member's university as is dictated by US university employment policies or the Bayh Dole Act. In this paper we estimate a series of probability models of assignment as a function of patent characteristics, university policy, and inventor fields in order to examine the extent to which outside assignment is nefarious or comes from legitimate activities, such as consulting. Patents assigned to firms (whether established or start-ups with inventor as principal) are less basic than those assigned to universities suggesting these patents result from faculty consulting. A higher inventor share increases the likelihood of university assignment as compared with assignment to a firm in which the inventor is a principal but it has no effect on consulting with established firms versus assignment to the university. Faculty in the physical sciences and engineering are more likely to assign their patents to established firms than those in biological sciences.},
filename={Thursby et al (2009) - US Faculty Patenting},
}

*only 62.4% of patents by university faculty members of 87 universities were assigned solely to universities
*identifying US university patents by institutional assignment misses significant percentage of faculty innovation in US universities
*higher inventor share increases likelihood of university assignment compared with assignment to a firm where inventor is principal
*possibilities: faculty in low share universities may be more willing to seek outside remuneration via assignment to start-up where they are principal; revenue shares may not affect startup activity but simply reduce number of inventions disclosed to university

Sources
*Faculty names from NRC
*Compared with inventor names in NBER Patent Database
*Excluded faculty who do not patent

Patent/Inventor Pairs
*MIT: 315
*Wisconsin: 232
*Stanford: 223
*UC San Diego: 216
*UC Berkeley: 207

Out of 5811 patents:
*1513 assigned solely to firms
*241 assigned to both firms and universities
*327 unassigned
*faculty are principals in assignee firms for 32.3% of patents assigned solely to firms and 24% of patents assigned to both (lower bound)

=== Valdivia: University Start-ups: Critical for Improving Technology Transfer (2013) ===

[https://www.brookings.edu/wp-content/uploads/2016/06/Valdivia_Tech-Transfer_v29_No-Embargo.pdf]

*Current emphasis on licensing patents, but most university TTOs do not generate enough to cover operating expenses
*Asymmetry in distribution of resources across the university system, only a few universities benefit from high licensing revenues
**top 8 universities took 50% of licensing income, top 16 universities took nearly 75% of income
**only 37 universities have been in the top 20 during the last decade (listed in University Patents > LicensingGrossIncome2003-2012.txt)
*Universities face much more pressure to demonstrate the economic impact of their R&D contracts
**97.6% of total public contracts obtained by universities are for basic/applied research
**2% of university research delivers ready-to-use technologies
**academic research is much more dependent on government funding than industry research is
*Government pressure for universities to be more responsive to market forces, more entrepreneurial, more attuned to needs of industry
*TTOs are costly to universities
*1979: 30 universities with TTO -> 1999: 174 universities (AUTM)
*2010: 206 US universities have very high or high research activity, all with TTOs (but not all report to AUTM) (Carnegie Classification of Higher Education)
*Over last 20 years, 87% of universities did not break even
*Clash between aims of university (non-profit) and TTO (essentially a business unit)
*By nurturing start-ups, TTOs can add most economic value to an invention disclosure
*2003: universities initiated 330 startups, 2012: 647 startups
*2012: 3715 operating university startups, almost double the number in 2000 (AUTM 2013)
*Startups mitigate financial risk by reducing reliance on blockbuster patents, increase diversification of portfolio
*Policy proposal: the government should increase funding for Small Business Technology Transfer Program (directed to university start-ups)
**H.R.2981: reapportions STTR funds at 0.05% in the next 2 years and 0.1% henceforth for university enterprises at proof of concept stage
*Should increase portion that agencies set aside for STTR
**STTR should have Phase III like SBIR to fund commercialization efforts
*Need equitable distribution across university system

=== The Bayh-Dole Act and High-Technology Entrepreneurship in U.S. Universities: Chicken, Egg, or Something Else? (2004) ===

[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.484.1612&rep=rep1&type=pdf]

==== Findings ====

* University research has an unusually significant impact on industrial innovation in the biomedical sector
* " This work also suggests that academic research rarely produces “prototypes” of inventions for development
and commercialization by industry—instead, academic research informs the methods and disciplines
employed by firms in their R&D facilities."
* The U.S. higher education system is much larger and more heterogenous than other developed countries - this encourages competition
* The passage of the Bayh-Dole Act was one part of a broader shift in U.S. policy toward stronger
intellectual property rights
* "Universities increased their share of patenting from less than 0.3% in 1963 to nearly 4% by 1999, but the rate of growth in this share begins to accelerate before rather than after 1980."
* "the Act's provisions expressed Congressional support for the negotiation of exclusive licenses between universities and industrial firms for the results of federally funded research"
* licensing revenues account for only a miniscule portion of universities' overall academic budgets
* the acceleration in growth of patenting and licensing began before the passage of the Bayh-Dole Act so this acceleration cannot be wholly attributed to the Act
* "the flow of knowledge and technology between university and industrial research is a two-way flow," despite previous characterization as wholly from academia to industry
* patents seem to be "especially important channels for technology transfer" in the biomedical sector

==== Data Sources ====
* 5 different case studies
1. Cotransformation: a process to transfer genes into mammalian cells (Columbia University).

2. Gallium Nitride: a semiconductor with both military and commercial applications (University of California).

3. Xalatan: a glaucoma treatment (Columbia University).

4. Ames II Tests: a bacteria assay for testing potential carcinogenic properties of pharmaceuticals and cosmetics (University of California).

5. Soluble CD4: a prototype for a drug to fight AIDS (Columbia University).

==== Critiques ====
* focuses on case studies as source of data

===Dornbusch, Schmoch, Schulze, Bethke: Identification of University-Based Patents: A New Large-Scale Approach (2012)===

[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.722.1368&rep=rep1&type=pdf]

Specific for German case, but certain points can help us

European convergence to US model (Bayh-Dole seen as main driver behind growing patent portfolios of US universities)

*University-owned patents (assigned to universities or their TTOs) and university-invented patents (assigned to university-affiliated authors)

Matching lists: traditional matching of lists of university staff/professors with inventor data
*time-consuming, costly, possibly not updated
*typically limited to tenured professors
*does not include Ph.D. students, assistants, lecturers

Matched authors of scientific publications and inventors on patents
*beware of homonyms

Patent data from EPO Worldwide Patent Statistical Database (PATSTAT)

Publication data from Elsevier (Scopus)

Country of origin: Inventor Country/Assignee Country/Applicant Country = Germany, Location of Organization to which author is affiliated =Germany
*Restrict dataset to authors from German organizations and inventors with residence in Germany

The organization

Names: To keep precision high, leave out names with initials only

Location: Postal/zip codes (PATSTAT provides address of inventor's residence, SCOPUS provides info for organization, 96.5% of first digit of inventor and organization postal codes are the same, 85.9% first two digits)

Time window: 2-year window between application and publication date

=== Singh A. and Wong P.K: University patenting activities and their link to the quantity and quality of scientific publications (2009) ===

[https://pdfs.semanticscholar.org/bb3a/df09ca693cdcff6c1f6aaf18113cabec2655.pdf]
==== Findings ====
* patenting by 281 leading world universities has consistently grown faster than general American patenting from 1977 - 2000
* North American university patenting growth has slowed relative to universities outside North America since the mid-1990s
* Between 2003-2005, they found that university patenting output has significant correlation with the both the quality and quantity of scientific publishing in North America
* In European and Australian universities, patenting correlated only with the quantity of scientific publishing, not with the quality
* In universities Europe, Australia, and North America, patenting correlated only with the quality of scientific publishing

==== Data Sources ====
* USPTO Patenting Data
* Shanghai Jia Tong University's Academic Ranking of World Universities (ARWU)
* Times Higher Education Supplement's World University Ranking (WUR)
* Quantity was measured by counts of publications
* Quality was measured by citations to said publications
* the relationship between research and patenting was evaluated in two ways
** At the institutional level: patents assigned to universities
** At the individual level: patents with university researchers as the inventors

==== Critiques ====
* citations are not really a perfect measure of research quality and citations have little to do with practical use of the study (i.e. how much technological innovation is generated as a result of academic research publications)

==== Other Discoveries ====

* Study by Landry R., Amara N., and Saihi, M. (2006)
* (Owen Smith and Powell 2003) found that "organizations involved in technological commercialization tend to have higher publication rates than those who are not"
* (Lach and Schankerman 2003) found that "licensing revenues at the university level are positively influenced by publication citations per faculty"

University Patents

2017-03-01T17:48:41Z

Meghanapannala: /* What We Have */

{{McNair Projects
|Has title=University Patents
|Has owner=Julia Wang
|Has keywords=Patent
|Has notes=
|Has project status=
|Is dependent on=
|Depends upon it=
}}

==Project Overview==
Goal: list of all universities and # of patents associated with each university and patent licensing activity

patent reassignment to startups associated with these universities

clinical trials (from Catherine) data to rank universities R&D engagement

identify list of universities: board of regents, universities in patent data (find patterns associated with university assignees) -- @Julia: Where did we get this list? I'd love to be able filter by country - Meghana

AUTM?

==Key Words==

===Universities (Patent Assignees)===
BOARD OF REGENTS - pretty much exclusively describes universities

UNIVERSITY - also exclusively describes universities
*Can we do a close match with University? (its the only word on this list that's frequently misspelled)

SCHOOL - often used in combination with medicine or medical to describe medical schools
*also are used to describe actual schools (i.e. HISD) and other businesses
*sometimes present in addresses - can we cut off the adresses?
*also used in combination with Business (i.e. Harvard Business School)
*use school only in conjuction with medical, medicine, and business

COLLEGE
*need to cut off addresses for this to work
*need to ensure that we include the space after
*excl. College Boulevard, college blvd, etc.
*double check everything with College Park

INSTITUTE OF TECHNOLOGY - almost exclusively describes universities but sometimes describes external research institutes

POLYTECHNIC - exclusively university (i.e. RPI, Virginia Tech)

RESEARCH FOUNDATION: VAST majority are university
*Exclusions: it's really difficult to distinguish between university affiliated and not, besides just looking them up on the google
**Novartis
**Progeria
**Washington Research Foundation
**Blood Center of Wisconsins
**Mental Hygiene
**Celiac Sprue
**Fidia
**Samuel Waxman Cancer Center
***founded by a faculty member at Mt. Sinai Medical School,not affil w/a single university but researchers are also usually faculty at various universities
**lifenet
**HealthPartners
**Dr. Susan Love
**La Jolla Cancer Research Foundation
**Children's Hospital (? grants degrees but is a hospital system)
**Medforte
**International Mask
**Palo Alto Medical Foundation

====Exclusions====
*LLC
*LLP

===Technology Transfer Offices===

====Job Titles====
*Patent Portfolio Manager
*Intellectual Property Manager
*Licensing Associate/Licensing Liaison
*Biological Materials Specialist
*Industrial Contracts Officer
*Technology Licensing Officer
*Associate Officer
*Technology Licensing Associates
*Patent Coordinator/Patent Administrator
*IP Portfolio Specialist
*MTA Coordinator
*Sponsored Research Administrator
*Technology Transfer Specialist/Technology Transfer Associate
*Contracts Associate
*Portfolio Director
*Contracts Specialist
*Industry Contracts Analyst
*Patent Prosecution Analyst
*(Associate) Director of Intellectual Property
*(Associate) Director of Technology Transfer Policy
*(Associate) Director of Technology Transactions
*(Associate) Director of Agreement Administration
*Senior Associate - watch
*Patent Attorney/Patent Agent/Patent Counsel/Paralegal - watch

====TTO Names====
*Office of Technology Transfer/Technology Transfer Office
*Office of Technology Licensing/Technology Licensing Office
*Office of Technology Development
*Technology Ventures
*Innovation Services
*Intellectual Property & Industry Research Alliances
*InnovationAccess
*Invention Transfer Group
*Technology Development Group
*Office of Business Development
*Office of Technology Commercialization
*Office of Innovation and Commercialization
*Innovation, Technology & Alliances
*Technology & Industry Alliances
*Office for Management of Intellectual Property
*Innovation & Partnerships Office

===University-Affiliated Startups (Patent Assignees)===

==What to get from other people==

Avesh has clinical trial data on wiki and bulk drive (FDA Trials Data), need to build it into normal form, use clinical trials data to rank R&D engagement of universities, will be building up portfolios of different types of companies

Marcela is cleaning up patent data, has given patent assignee names -- got it! Could we filter by country and get strictly American names?

Catherine has zip codes of medical centers, use to look through patent data

==Questions==
*How innovative are universities compared to publicly-traded firms, etc.? (firms: 100 active patents at any given time)
*How do universities license?
*What does the average portfolio look like for universities? (compared to publicly traded, VC-backed, etc)
*What can explain the differences in rankings? (size, quality of universities, TTOs and quality/experience of workers - searched LinkedIns, geography, entrepreneurship programs, NIH/NSF grants)

==To Do==

1. lit review (look at for 1-2 days), look for holistic picture, what has/hasn’t been done? what are the questions people are asking? (DONE)

2. look at patent data, determine how to find universities in patent database: board of regents, universities in patent data (find patterns associated with university assignees) (DONE)

3. get list of patent assignees with countries attached (DONE - Marcela gave us a list of all american assignees)
===What We Have===

*List of all post-secondary institutions (University Accreditation 3.2016_trim) - U.S. Department of Education
*Classification of universities (Carnegie Classification 2015) - Carnegie Classification
** includes all accredited degree-granting colleges and universities that are included in the National Center for Education Statistics Integrated Postsecondary Education Data System (IPEDS).
** Coverage: 4666 institutions of higher learning
** Variables: includes 94 variables
*** Enrollment data - subdivided into graduate and undergraduate
*** degrees conferred - divided into level and division
*** information on faculty (number, divided into levels i.e. assistant, assoc. and full time)
*** non-faculty research staff (includes post docs)
*** Science and Engineering Research and Development expenditures
*** Non-STEM research and Development expenditures
*Amount spent on R&D (Higher Ed R&D Rankings) - National Science Foundation
*STTR full data 1995-2015 (STTRData) - Small Business Administration
*University Patent Numbers 1969-2012 - USPTO
*Wikipedia crawler for university pages - Endowment, Academic staff, Administrative staff, Students, Undergraduates, Postgraduates

===What We Need===

*List of university-affiliated startups
**looks like AUTM STATT data has this because it was used in a study by Yael Hochberg [https://papers.ssrn.com/sol3/papers2.cfm?abstract_id=2418000]
**[https://www.forbes.com/sites/liyanchen/2015/07/29/americas-most-entrepreneurial-research-universities-2015/#3cb9829b3823| Rankings of Research Universities (2015)]
**FORBES ranked the country’s most entrepreneurial schools based on the numbers of alumni and students who have identified themselves as founders and business owners on LinkedIn (adjusted to total student body size). This year we rank both research universities and [https://www.forbes.com/sites/liyanchen/2015/07/29/americas-most-entrepreneurial-colleges-2015/#2b2909e04604| smaller colleges] separately.
*data about TTOs (# and quality of employees)
**LinkedIn crawler: working with Jeemin and Peter
*AUTM academic licensing data [http://www.autm.net/statt]

==Lit Reviews==

===Thursby, J. & Thursby, M.: Who Is Selling the Ivory Tower? Sources of Growth in University Licensing (2002)===

[http://pubsonline.informs.org/doi/pdf/10.1287/mnsc.48.1.90.14271]

@article{thursby2002who,
title={Who Is Selling the Ivory Tower? Sources of Growth in University Licensing},
author={Thursby, Jerry G. and Thursby, Marie C.},
journal={Management Science},
volume={48},
number={1},
pages={90--104},
year={2002},
publisher={INFORMS},
filename={Thursby Thursby (2002) - Who Is Selling the Ivory Tower}
}

*Reliance of industry on university inventions has increased
**AUTM surveys show 7.1% growth in yearly inventions disclosure from 1994-1998 for 64 universities that responded every year
*Primary reason for more disclosures may be increased propensity for faculty to disclose, rather than change in research focus
*Universities becoming more receptive to industry contracts
*Negative total TFP growth of licenses executed (-1.7% annual growth) - growth in disclosures and patent applications greater than the corresponding growth in licenses executed.
**Marginal university innovation offered to the market has declined in commercial appeal
**Universities are delving more deeply into the available pool of innovations to increase commercial activities
*No evidence on the importance of learning by doing on the part of TTOs except to note negative association between TTO growth and TFP growth in licensing
**Suggests at least the possibility of learning by doing effects

'''Other literature'''

*On the role of patents and publications in the transfer process: Adams 1990, Henderson et al. 1998, and Jaffe et al. 1993
*On consulting, sponsored research or institutional ties: Cohen et al. 1998; Mansfield 1995; Zucker et al. 1994, 1998
*On the nature of university licensing: Jensen and Thursby 2001, Mowery et al. 2001a,b, Mowery et al. 2001, Siegel et al. 1999, Thursby et al. 2001, Thursby and Kemp 2001

===Thursby, J., Jensen, Thursby, M.: Objectives, Characteristics and Outcomes of University Licensing: A Survey of Major U.S. Universities (2001)===

[https://pdfs.semanticscholar.org/637f/048c05ee83eb84a914f69e087f52acea1b6c.pdf]

@article{thursby2001objectives,
title={Objectives, Characteristics and Outcomes of University Licensing: A Survey of Major U.S. Universities},
author={Thursby, Jerry G., Jensen, Richard, and Thursby, Marie C.},
journal={The Journal of Technology Transfer},
volume={26},
number={1},
pages={59--72},
year={2001},
publisher={Springer},
abstract={This paper describes results of our survey of licensing at 62 research universities. We consider ownership, income splits, stage of development, marketing, license policies and characteristics, goals of licensing and the role of the inventor in licensing. Based on these results we analyze the relationship between licensing outcomes and both the objectives of the TTO and the characteristics of the technologies. Patent applications grow one-to-one with disclosures, while sponsored research grows similarly with licenses executed. Royalties are typically larger the higher the quality of the faculty and the higher the fraction of licenses that are executed at latter stages of development. Sponsored research is more likely to be included in a license if the new technology is at an early stage of development or if the TTO evaluates it as important. We find that additional disclosures generate smaller percentage increases in licenses, and those increases in licenses generate smaller percentage increases in royalties.},
filename={Thursby et al (2001) - Objectives, Characteristics and Outcomes of University Licensing}
}

*University licensing has increased dramatically post-Bayh-Dole (1980)
**According to AUTM 1996, licenses executed increased 75% from 1991-1996, (total: 13,087)
*Survey of TTOs of 62 major US universities
**Majority of universities retain titles to inventions
**All universities split income with inventors
**Royalties generate most of the revenue of licensing

*Open question: Is the increased propensity of faculty to disclose a response to financial incentives or an increase in the effectiveness of TTOs in inducing disclosure?

Survey
*62/135 universities responded
*63% public, and 62% of public universities that responded were land-grant
*37% private
*average industry sponsored research $16.9 mil, federally sponsored $149.6 mil (1996)
*average TTO: 26.3 licenses executed, 92.3 invention disclosures, 30.1 new patent apps, $4.2 mil income (1996)
*35% of respondents had reorganized TTO since 1990
*90% of universities allow faculty to establish and operate businesses based on technology owned by university but developed in faculty's research
*Inventions disclosed: 33% med schools, 29% engineering, 22% science, 6% agriculture, 10% other
*Majority of invention disclosures in nascent stage (proof of concept - 45% or prototype - 37%)
*Patents often applied for after knowing commercial viability, licensed technologies often not protected by patents
*60% of universities said small companies more likely to take early stage technologies and large companies more likely to take late stage - small firms may have advantage in "innovative" research (Holmstrom 1989)
*TTOs obtain smaller upfront fees the more uncertain the technology being licensed is
*Universities usually do not take equity in the license

Regression of licensing outcomes

[[File:LicensingOutcomeReg.png|500px]]

*Dependent variables: royalties, sponsored research, patents (new applications), licenses executed
*Independent variables: importance of outcome to TTO, types of inventions, measure of size of university's licensing operation/potential
*Logs of all variables except indicator variables
*Probit for frequency of sponsored research
*INVDIS: number of disclosures
*TTOSIZE: number of licensing individuals
*TTOEVAL_1 = 1: if TTOs that said licenses/patents are "not very important"
*TTOEVAL_2 = 1: if TTOs that said licenses/patents are "moderately important"
*PROOF: % of licensed disclosures that were "proof of concept but no prototype"
*PTYPE: "Prototype available but only lab scale"
*MEDSCHL: 1 if med school exists
*QUAL: academic quality of faculty (1993 NRC's survey results of academic quality of Ph.D. granting departments)
*LICENSES: number of licenses executed
*SPONRES: amount of sponsored research
*SPONFREQ: frequency that sponsored research is tied to license (according to TTO)
*patent apps grow 1-to-1 with disclosures
*sponsored research grows with licenses executed
*more licenses executed at universities with large TTOs and med schools
*higher royalties with higher quality of faculty and higher fraction of licenses executed at later stages of development
*additional disclosures generate smaller % increases in licenses, which generate smaller % increases in royalties (TTOs generally effective at tapping pool of available technologies in their universities)

===Thursby, J., Fuller, Thursby, M.: US Faculty Patenting: Inside and Outside the University (2009)===

[http://www.nber.org/papers/w13256.pdf]

@article{thursby2009us,
title = "US Faculty Patenting: Inside and Outside the University",
author = "Jerry G. Thursby, Anne W. Fuller, and Marie C. Thursby",
journal={Research Policy},
volume={38},
number={1},
pages={14--25},
year={2009},
publisher={Elsevier},
abstract = {This paper examines the empirical anomaly that in a sample of 5811 patents on which US faculty are listed as inventors, 26% of the patents are assigned solely to firms rather than to the faculty member's university as is dictated by US university employment policies or the Bayh Dole Act. In this paper we estimate a series of probability models of assignment as a function of patent characteristics, university policy, and inventor fields in order to examine the extent to which outside assignment is nefarious or comes from legitimate activities, such as consulting. Patents assigned to firms (whether established or start-ups with inventor as principal) are less basic than those assigned to universities suggesting these patents result from faculty consulting. A higher inventor share increases the likelihood of university assignment as compared with assignment to a firm in which the inventor is a principal but it has no effect on consulting with established firms versus assignment to the university. Faculty in the physical sciences and engineering are more likely to assign their patents to established firms than those in biological sciences.},
filename={Thursby et al (2009) - US Faculty Patenting},
}

*only 62.4% of patents by university faculty members of 87 universities were assigned solely to universities
*identifying US university patents by institutional assignment misses significant percentage of faculty innovation in US universities
*higher inventor share increases likelihood of university assignment compared with assignment to a firm where inventor is principal
*possibilities: faculty in low share universities may be more willing to seek outside remuneration via assignment to start-up where they are principal; revenue shares may not affect startup activity but simply reduce number of inventions disclosed to university

Sources
*Faculty names from NRC
*Compared with inventor names in NBER Patent Database
*Excluded faculty who do not patent

Patent/Inventor Pairs
*MIT: 315
*Wisconsin: 232
*Stanford: 223
*UC San Diego: 216
*UC Berkeley: 207

Out of 5811 patents:
*1513 assigned solely to firms
*241 assigned to both firms and universities
*327 unassigned
*faculty are principals in assignee firms for 32.3% of patents assigned solely to firms and 24% of patents assigned to both (lower bound)

=== Valdivia: University Start-ups: Critical for Improving Technology Transfer (2013) ===

[https://www.brookings.edu/wp-content/uploads/2016/06/Valdivia_Tech-Transfer_v29_No-Embargo.pdf]

*Current emphasis on licensing patents, but most university TTOs do not generate enough to cover operating expenses
*Asymmetry in distribution of resources across the university system, only a few universities benefit from high licensing revenues
**top 8 universities took 50% of licensing income, top 16 universities took nearly 75% of income
**only 37 universities have been in the top 20 during the last decade (listed in University Patents > LicensingGrossIncome2003-2012.txt)
*Universities face much more pressure to demonstrate the economic impact of their R&D contracts
**97.6% of total public contracts obtained by universities are for basic/applied research
**2% of university research delivers ready-to-use technologies
**academic research is much more dependent on government funding than industry research is
*Government pressure for universities to be more responsive to market forces, more entrepreneurial, more attuned to needs of industry
*TTOs are costly to universities
*1979: 30 universities with TTO -> 1999: 174 universities (AUTM)
*2010: 206 US universities have very high or high research activity, all with TTOs (but not all report to AUTM) (Carnegie Classification of Higher Education)
*Over last 20 years, 87% of universities did not break even
*Clash between aims of university (non-profit) and TTO (essentially a business unit)
*By nurturing start-ups, TTOs can add most economic value to an invention disclosure
*2003: universities initiated 330 startups, 2012: 647 startups
*2012: 3715 operating university startups, almost double the number in 2000 (AUTM 2013)
*Startups mitigate financial risk by reducing reliance on blockbuster patents, increase diversification of portfolio
*Policy proposal: the government should increase funding for Small Business Technology Transfer Program (directed to university start-ups)
**H.R.2981: reapportions STTR funds at 0.05% in the next 2 years and 0.1% henceforth for university enterprises at proof of concept stage
*Should increase portion that agencies set aside for STTR
**STTR should have Phase III like SBIR to fund commercialization efforts
*Need equitable distribution across university system

=== The Bayh-Dole Act and High-Technology Entrepreneurship in U.S. Universities: Chicken, Egg, or Something Else? (2004) ===

[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.484.1612&rep=rep1&type=pdf]

==== Findings ====

* University research has an unusually significant impact on industrial innovation in the biomedical sector
* " This work also suggests that academic research rarely produces “prototypes” of inventions for development
and commercialization by industry—instead, academic research informs the methods and disciplines
employed by firms in their R&D facilities."
* The U.S. higher education system is much larger and more heterogenous than other developed countries - this encourages competition
* The passage of the Bayh-Dole Act was one part of a broader shift in U.S. policy toward stronger
intellectual property rights
* "Universities increased their share of patenting from less than 0.3% in 1963 to nearly 4% by 1999, but the rate of growth in this share begins to accelerate before rather than after 1980."
* "the Act's provisions expressed Congressional support for the negotiation of exclusive licenses between universities and industrial firms for the results of federally funded research"
* licensing revenues account for only a miniscule portion of universities' overall academic budgets
* the acceleration in growth of patenting and licensing began before the passage of the Bayh-Dole Act so this acceleration cannot be wholly attributed to the Act
* "the flow of knowledge and technology between university and industrial research is a two-way flow," despite previous characterization as wholly from academia to industry
* patents seem to be "especially important channels for technology transfer" in the biomedical sector

==== Data Sources ====
* 5 different case studies
1. Cotransformation: a process to transfer genes into mammalian cells (Columbia University).

2. Gallium Nitride: a semiconductor with both military and commercial applications (University of California).

3. Xalatan: a glaucoma treatment (Columbia University).

4. Ames II Tests: a bacteria assay for testing potential carcinogenic properties of pharmaceuticals and cosmetics (University of California).

5. Soluble CD4: a prototype for a drug to fight AIDS (Columbia University).

==== Critiques ====
* focuses on case studies as source of data

===Dornbusch, Schmoch, Schulze, Bethke: Identification of University-Based Patents: A New Large-Scale Approach (2012)===

[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.722.1368&rep=rep1&type=pdf]

Specific for German case, but certain points can help us

European convergence to US model (Bayh-Dole seen as main driver behind growing patent portfolios of US universities)

*University-owned patents (assigned to universities or their TTOs) and university-invented patents (assigned to university-affiliated authors)

Matching lists: traditional matching of lists of university staff/professors with inventor data
*time-consuming, costly, possibly not updated
*typically limited to tenured professors
*does not include Ph.D. students, assistants, lecturers

Matched authors of scientific publications and inventors on patents
*beware of homonyms

Patent data from EPO Worldwide Patent Statistical Database (PATSTAT)

Publication data from Elsevier (Scopus)

Country of origin: Inventor Country/Assignee Country/Applicant Country = Germany, Location of Organization to which author is affiliated =Germany
*Restrict dataset to authors from German organizations and inventors with residence in Germany

The organization

Names: To keep precision high, leave out names with initials only

Location: Postal/zip codes (PATSTAT provides address of inventor's residence, SCOPUS provides info for organization, 96.5% of first digit of inventor and organization postal codes are the same, 85.9% first two digits)

Time window: 2-year window between application and publication date

=== Singh A. and Wong P.K: University patenting activities and their link to the quantity and quality of scientific publications (2009) ===

[https://pdfs.semanticscholar.org/bb3a/df09ca693cdcff6c1f6aaf18113cabec2655.pdf]
==== Findings ====
* patenting by 281 leading world universities has consistently grown faster than general American patenting from 1977 - 2000
* North American university patenting growth has slowed relative to universities outside North America since the mid-1990s
* Between 2003-2005, they found that university patenting output has significant correlation with the both the quality and quantity of scientific publishing in North America
* In European and Australian universities, patenting correlated only with the quantity of scientific publishing, not with the quality
* In universities Europe, Australia, and North America, patenting correlated only with the quality of scientific publishing

==== Data Sources ====
* USPTO Patenting Data
* Shanghai Jia Tong University's Academic Ranking of World Universities (ARWU)
* Times Higher Education Supplement's World University Ranking (WUR)
* Quantity was measured by counts of publications
* Quality was measured by citations to said publications
* the relationship between research and patenting was evaluated in two ways
** At the institutional level: patents assigned to universities
** At the individual level: patents with university researchers as the inventors

==== Critiques ====
* citations are not really a perfect measure of research quality and citations have little to do with practical use of the study (i.e. how much technological innovation is generated as a result of academic research publications)

==== Other Discoveries ====

* Study by Landry R., Amara N., and Saihi, M. (2006)
* (Owen Smith and Powell 2003) found that "organizations involved in technological commercialization tend to have higher publication rates than those who are not"
* (Lach and Schankerman 2003) found that "licensing revenues at the university level are positively influenced by publication citations per faculty"

University Patents

2017-02-27T20:50:10Z

Meghanapannala: /* What We Need */

{{McNair Projects
|Project Title=University Patents,
|Topic Area=Patents and Innovation,
|Owner=Julia Wang,
|Keywords=Patent,
}}

==Project Overview==
Goal: list of all universities and # of patents each university and patent licensing

patent reassignment to startups associated with these universities

clinical trials (from Catherine) data to rank universities R&D engagement

identify list of universities: board of regents, universities in patent data (find patterns associated with university assignees) -- @Julia: Where did we get this list? I'd love to be able filter by country - Meghana

AUTM?

==Key Words==

===Universities (Patent Assignees)===
BOARD OF REGENTS - pretty much exclusively describes universities

UNIVERSITY - also exclusively describes universities
*Can we do a close match with University? (its the only word on this list that's frequently misspelled)

SCHOOL - often used in combination with medicine or medical to describe medical schools
*also are used to describe actual schools (i.e. HISD) and other businesses
*sometimes present in addresses - can we cut off the adresses?
*also used in combination with Business (i.e. Harvard Business School)
*use school only in conjuction with medical, medicine, and business

COLLEGE
*need to cut off addresses for this to work
*need to ensure that we include the space after
*excl. College Boulevard, college blvd, etc.
*double check everything with College Park

INSTITUTE OF TECHNOLOGY - almost exclusively describes universities but sometimes describes external research institutes

POLYTECHNIC - exclusively university (i.e. RPI, Virginia Tech)

RESEARCH FOUNDATION: VAST majority are university
*Exclusions: it's really difficult to distinguish between university affiliated and not, besides just looking them up on the google
**Novartis
**Progeria
**Washington Research Foundation
**Blood Center of Wisconsins
**Mental Hygiene
**Celiac Sprue
**Fidia
**Samuel Waxman Cancer Center
***founded by a faculty member at Mt. Sinai Medical School,not affil w/a single university but researchers are also usually faculty at various universities
**lifenet
**HealthPartners
**Dr. Susan Love
**La Jolla Cancer Research Foundation
**Children's Hospital (? grants degrees but is a hospital system)
**Medforte
**International Mask
**Palo Alto Medical Foundation

====Exclusions====
*LLC
*LLP

===Technology Transfer Offices===

====Job Titles====
*Patent Portfolio Manager
*Intellectual Property Manager
*Licensing Associate/Licensing Liaison
*Biological Materials Specialist
*Industrial Contracts Officer
*Technology Licensing Officer
*Associate Officer
*Technology Licensing Associates
*Patent Coordinator/Patent Administrator
*IP Portfolio Specialist
*MTA Coordinator
*Sponsored Research Administrator
*Technology Transfer Specialist/Technology Transfer Associate
*Contracts Associate
*Portfolio Director
*Contracts Specialist
*Industry Contracts Analyst
*Patent Prosecution Analyst
*(Associate) Director of Intellectual Property
*(Associate) Director of Technology Transfer Policy
*(Associate) Director of Technology Transactions
*(Associate) Director of Agreement Administration
*Senior Associate - watch
*Patent Attorney/Patent Agent/Patent Counsel/Paralegal - watch

====TTO Names====
*Office of Technology Transfer/Technology Transfer Office
*Office of Technology Licensing/Technology Licensing Office
*Office of Technology Development
*Technology Ventures
*Innovation Services
*Intellectual Property & Industry Research Alliances
*InnovationAccess
*Invention Transfer Group
*Technology Development Group
*Office of Business Development
*Office of Technology Commercialization
*Office of Innovation and Commercialization
*Innovation, Technology & Alliances
*Technology & Industry Alliances
*Office for Management of Intellectual Property
*Innovation & Partnerships Office

===University-Affiliated Startups (Patent Assignees)===

==What to get from other people==

Avesh has clinical trial data on wiki and bulk drive (FDA Trials Data), need to build it into normal form, use clinical trials data to rank R&D engagement of universities, will be building up portfolios of different types of companies

Marcela is cleaning up patent data, has given patent assignee names -- got it! Could we filter by country and get strictly American names?

Catherine has zip codes of medical centers, use to look through patent data

==Questions==
*How innovative are universities compared to publicly-traded firms, etc.? (firms: 100 active patents at any given time)
*How do universities license?
*What does the average portfolio look like for universities? (compared to publicly traded, VC-backed, etc)
*What can explain the differences in rankings? (size, quality of universities, TTOs and quality/experience of workers - searched LinkedIns, geography, entrepreneurship programs, NIH/NSF grants)

==To Do==

1. lit review (look at for 1-2 days), look for holistic picture, what has/hasn’t been done? what are the questions people are asking? (DONE)

2. look at patent data, determine how to find universities in patent database: board of regents, universities in patent data (find patterns associated with university assignees) (DONE)

3. get list of patent assignees with countries attached (DONE - Marcela gave us a list of all american assignees)
===What We Have===

*List of all post-secondary institutions (University Accreditation 3.2016_trim) - U.S. Department of Education
*Classification of universities (Carnegie Classification 2015) - Carnegie Classification
*Amount spent on R&D (Higher Ed R&D Rankings) - National Science Foundation
*STTR full data 1995-2015 (STTRData) - Small Business Administration
*University Patent Numbers 1969-2012 - USPTO

===What We Need===

*List of university-affiliated startups
**looks like AUTM STATT data has this because it was used in a study by Yael Hochberg [https://papers.ssrn.com/sol3/papers2.cfm?abstract_id=2418000]
**[https://www.forbes.com/sites/liyanchen/2015/07/29/americas-most-entrepreneurial-research-universities-2015/#3cb9829b3823| Rankings of Research Universities (2015)]
**FORBES ranked the country’s most entrepreneurial schools based on the numbers of alumni and students who have identified themselves as founders and business owners on LinkedIn (adjusted to total student body size). This year we rank both research universities and [https://www.forbes.com/sites/liyanchen/2015/07/29/americas-most-entrepreneurial-colleges-2015/#2b2909e04604| smaller colleges] separately.
*data about TTOs (# and quality of employees)
**LinkedIn crawler: working with Jeemin
*AUTM academic licensing data [http://www.autm.net/statt]

==Lit Reviews==

===Thursby, J. & Thursby, M.: Who Is Selling the Ivory Tower? Sources of Growth in University Licensing (2002)===

[http://pubsonline.informs.org/doi/pdf/10.1287/mnsc.48.1.90.14271]

@article{thursby2002who,
title={Who Is Selling the Ivory Tower? Sources of Growth in University Licensing},
author={Thursby, Jerry G. and Thursby, Marie C.},
journal={Management Science},
volume={48},
number={1},
pages={90--104},
year={2002},
publisher={INFORMS},
filename={Thursby Thursby (2002) - Who Is Selling the Ivory Tower}
}

*Reliance of industry on university inventions has increased
**AUTM surveys show 7.1% growth in yearly inventions disclosure from 1994-1998 for 64 universities that responded every year
*Primary reason for more disclosures may be increased propensity for faculty to disclose, rather than change in research focus
*Universities becoming more receptive to industry contracts
*Negative total TFP growth of licenses executed (-1.7% annual growth) - growth in disclosures and patent applications greater than the corresponding growth in licenses executed.
**Marginal university innovation offered to the market has declined in commercial appeal
**Universities are delving more deeply into the available pool of innovations to increase commercial activities
*No evidence on the importance of learning by doing on the part of TTOs except to note negative association between TTO growth and TFP growth in licensing
**Suggests at least the possibility of learning by doing effects

'''Other literature'''

*On the role of patents and publications in the transfer process: Adams 1990, Henderson et al. 1998, and Jaffe et al. 1993
*On consulting, sponsored research or institutional ties: Cohen et al. 1998; Mansfield 1995; Zucker et al. 1994, 1998
*On the nature of university licensing: Jensen and Thursby 2001, Mowery et al. 2001a,b, Mowery et al. 2001, Siegel et al. 1999, Thursby et al. 2001, Thursby and Kemp 2001

===Thursby, J., Jensen, Thursby, M.: Objectives, Characteristics and Outcomes of University Licensing: A Survey of Major U.S. Universities (2001)===

[https://pdfs.semanticscholar.org/637f/048c05ee83eb84a914f69e087f52acea1b6c.pdf]

@article{thursby2001objectives,
title={Objectives, Characteristics and Outcomes of University Licensing: A Survey of Major U.S. Universities},
author={Thursby, Jerry G., Jensen, Richard, and Thursby, Marie C.},
journal={The Journal of Technology Transfer},
volume={26},
number={1},
pages={59--72},
year={2001},
publisher={Springer},
abstract={This paper describes results of our survey of licensing at 62 research universities. We consider ownership, income splits, stage of development, marketing, license policies and characteristics, goals of licensing and the role of the inventor in licensing. Based on these results we analyze the relationship between licensing outcomes and both the objectives of the TTO and the characteristics of the technologies. Patent applications grow one-to-one with disclosures, while sponsored research grows similarly with licenses executed. Royalties are typically larger the higher the quality of the faculty and the higher the fraction of licenses that are executed at latter stages of development. Sponsored research is more likely to be included in a license if the new technology is at an early stage of development or if the TTO evaluates it as important. We find that additional disclosures generate smaller percentage increases in licenses, and those increases in licenses generate smaller percentage increases in royalties.},
filename={Thursby et al (2001) - Objectives, Characteristics and Outcomes of University Licensing}
}

*University licensing has increased dramatically post-Bayh-Dole (1980)
**According to AUTM 1996, licenses executed increased 75% from 1991-1996, (total: 13,087)
*Survey of TTOs of 62 major US universities
**Majority of universities retain titles to inventions
**All universities split income with inventors
**Royalties generate most of the revenue of licensing

*Open question: Is the increased propensity of faculty to disclose a response to financial incentives or an increase in the effectiveness of TTOs in inducing disclosure?

Survey
*62/135 universities responded
*63% public, and 62% of public universities that responded were land-grant
*37% private
*average industry sponsored research $16.9 mil, federally sponsored $149.6 mil (1996)
*average TTO: 26.3 licenses executed, 92.3 invention disclosures, 30.1 new patent apps, $4.2 mil income (1996)
*35% of respondents had reorganized TTO since 1990
*90% of universities allow faculty to establish and operate businesses based on technology owned by university but developed in faculty's research
*Inventions disclosed: 33% med schools, 29% engineering, 22% science, 6% agriculture, 10% other
*Majority of invention disclosures in nascent stage (proof of concept - 45% or prototype - 37%)
*Patents often applied for after knowing commercial viability, licensed technologies often not protected by patents
*60% of universities said small companies more likely to take early stage technologies and large companies more likely to take late stage - small firms may have advantage in "innovative" research (Holmstrom 1989)
*TTOs obtain smaller upfront fees the more uncertain the technology being licensed is
*Universities usually do not take equity in the license

Regression of licensing outcomes

[[File:LicensingOutcomeReg.png|500px]]

*Dependent variables: royalties, sponsored research, patents (new applications), licenses executed
*Independent variables: importance of outcome to TTO, types of inventions, measure of size of university's licensing operation/potential
*Logs of all variables except indicator variables
*Probit for frequency of sponsored research
*INVDIS: number of disclosures
*TTOSIZE: number of licensing individuals
*TTOEVAL_1 = 1: if TTOs that said licenses/patents are "not very important"
*TTOEVAL_2 = 1: if TTOs that said licenses/patents are "moderately important"
*PROOF: % of licensed disclosures that were "proof of concept but no prototype"
*PTYPE: "Prototype available but only lab scale"
*MEDSCHL: 1 if med school exists
*QUAL: academic quality of faculty (1993 NRC's survey results of academic quality of Ph.D. granting departments)
*LICENSES: number of licenses executed
*SPONRES: amount of sponsored research
*SPONFREQ: frequency that sponsored research is tied to license (according to TTO)
*patent apps grow 1-to-1 with disclosures
*sponsored research grows with licenses executed
*more licenses executed at universities with large TTOs and med schools
*higher royalties with higher quality of faculty and higher fraction of licenses executed at later stages of development
*additional disclosures generate smaller % increases in licenses, which generate smaller % increases in royalties (TTOs generally effective at tapping pool of available technologies in their universities)

===Thursby, J., Fuller, Thursby, M.: US Faculty Patenting: Inside and Outside the University (2009)===

[http://www.nber.org/papers/w13256.pdf]

@article{thursby2009us,
title = "US Faculty Patenting: Inside and Outside the University",
author = "Jerry G. Thursby, Anne W. Fuller, and Marie C. Thursby",
journal={Research Policy},
volume={38},
number={1},
pages={14--25},
year={2009},
publisher={Elsevier},
abstract = {This paper examines the empirical anomaly that in a sample of 5811 patents on which US faculty are listed as inventors, 26% of the patents are assigned solely to firms rather than to the faculty member's university as is dictated by US university employment policies or the Bayh Dole Act. In this paper we estimate a series of probability models of assignment as a function of patent characteristics, university policy, and inventor fields in order to examine the extent to which outside assignment is nefarious or comes from legitimate activities, such as consulting. Patents assigned to firms (whether established or start-ups with inventor as principal) are less basic than those assigned to universities suggesting these patents result from faculty consulting. A higher inventor share increases the likelihood of university assignment as compared with assignment to a firm in which the inventor is a principal but it has no effect on consulting with established firms versus assignment to the university. Faculty in the physical sciences and engineering are more likely to assign their patents to established firms than those in biological sciences.},
filename={Thursby et al (2009) - US Faculty Patenting},
}

*only 62.4% of patents by university faculty members of 87 universities were assigned solely to universities
*identifying US university patents by institutional assignment misses significant percentage of faculty innovation in US universities
*higher inventor share increases likelihood of university assignment compared with assignment to a firm where inventor is principal
*possibilities: faculty in low share universities may be more willing to seek outside remuneration via assignment to start-up where they are principal; revenue shares may not affect startup activity but simply reduce number of inventions disclosed to university

Sources
*Faculty names from NRC
*Compared with inventor names in NBER Patent Database
*Excluded faculty who do not patent

Patent/Inventor Pairs
*MIT: 315
*Wisconsin: 232
*Stanford: 223
*UC San Diego: 216
*UC Berkeley: 207

Out of 5811 patents:
*1513 assigned solely to firms
*241 assigned to both firms and universities
*327 unassigned
*faculty are principals in assignee firms for 32.3% of patents assigned solely to firms and 24% of patents assigned to both (lower bound)

=== Valdivia: University Start-ups: Critical for Improving Technology Transfer (2013) ===

[https://www.brookings.edu/wp-content/uploads/2016/06/Valdivia_Tech-Transfer_v29_No-Embargo.pdf]

*Current emphasis on licensing patents, but most university TTOs do not generate enough to cover operating expenses
*Asymmetry in distribution of resources across the university system, only a few universities benefit from high licensing revenues
**top 8 universities took 50% of licensing income, top 16 universities took nearly 75% of income
**only 37 universities have been in the top 20 during the last decade (listed in University Patents > LicensingGrossIncome2003-2012.txt)
*Universities face much more pressure to demonstrate the economic impact of their R&D contracts
**97.6% of total public contracts obtained by universities are for basic/applied research
**2% of university research delivers ready-to-use technologies
**academic research is much more dependent on government funding than industry research is
*Government pressure for universities to be more responsive to market forces, more entrepreneurial, more attuned to needs of industry
*TTOs are costly to universities
*1979: 30 universities with TTO -> 1999: 174 universities (AUTM)
*2010: 206 US universities have very high or high research activity, all with TTOs (but not all report to AUTM) (Carnegie Classification of Higher Education)
*Over last 20 years, 87% of universities did not break even
*Clash between aims of university (non-profit) and TTO (essentially a business unit)
*By nurturing start-ups, TTOs can add most economic value to an invention disclosure
*2003: universities initiated 330 startups, 2012: 647 startups
*2012: 3715 operating university startups, almost double the number in 2000 (AUTM 2013)
*Startups mitigate financial risk by reducing reliance on blockbuster patents, increase diversification of portfolio
*Policy proposal: the government should increase funding for Small Business Technology Transfer Program (directed to university start-ups)
**H.R.2981: reapportions STTR funds at 0.05% in the next 2 years and 0.1% henceforth for university enterprises at proof of concept stage
*Should increase portion that agencies set aside for STTR
**STTR should have Phase III like SBIR to fund commercialization efforts
*Need equitable distribution across university system

=== The Bayh-Dole Act and High-Technology Entrepreneurship in U.S. Universities: Chicken, Egg, or Something Else? (2004) ===

[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.484.1612&rep=rep1&type=pdf]

==== Findings ====

* University research has an unusually significant impact on industrial innovation in the biomedical sector
* " This work also suggests that academic research rarely produces “prototypes” of inventions for development
and commercialization by industry—instead, academic research informs the methods and disciplines
employed by firms in their R&D facilities."
* The U.S. higher education system is much larger and more heterogenous than other developed countries - this encourages competition
* The passage of the Bayh-Dole Act was one part of a broader shift in U.S. policy toward stronger
intellectual property rights
* "Universities increased their share of patenting from less than 0.3% in 1963 to nearly 4% by 1999, but the rate of growth in this share begins to accelerate before rather than after 1980."
* "the Act's provisions expressed Congressional support for the negotiation of exclusive licenses between universities and industrial firms for the results of federally funded research"
* licensing revenues account for only a miniscule portion of universities' overall academic budgets
* the acceleration in growth of patenting and licensing began before the passage of the Bayh-Dole Act so this acceleration cannot be wholly attributed to the Act
* "the flow of knowledge and technology between university and industrial research is a two-way flow," despite previous characterization as wholly from academia to industry
* patents seem to be "especially important channels for technology transfer" in the biomedical sector

==== Data Sources ====
* 5 different case studies
1. Cotransformation: a process to transfer genes into mammalian cells (Columbia University).

2. Gallium Nitride: a semiconductor with both military and commercial applications (University of California).

3. Xalatan: a glaucoma treatment (Columbia University).

4. Ames II Tests: a bacteria assay for testing potential carcinogenic properties of pharmaceuticals and cosmetics (University of California).

5. Soluble CD4: a prototype for a drug to fight AIDS (Columbia University).

==== Critiques ====
* focuses on case studies as source of data

===Dornbusch, Schmoch, Schulze, Bethke: Identification of University-Based Patents: A New Large-Scale Approach (2012)===

[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.722.1368&rep=rep1&type=pdf]

Specific for German case, but certain points can help us

European convergence to US model (Bayh-Dole seen as main driver behind growing patent portfolios of US universities)

*University-owned patents (assigned to universities or their TTOs) and university-invented patents (assigned to university-affiliated authors)

Matching lists: traditional matching of lists of university staff/professors with inventor data
*time-consuming, costly, possibly not updated
*typically limited to tenured professors
*does not include Ph.D. students, assistants, lecturers

Matched authors of scientific publications and inventors on patents
*beware of homonyms

Patent data from EPO Worldwide Patent Statistical Database (PATSTAT)

Publication data from Elsevier (Scopus)

Country of origin: Inventor Country/Assignee Country/Applicant Country = Germany, Location of Organization to which author is affiliated =Germany
*Restrict dataset to authors from German organizations and inventors with residence in Germany

The organization

Names: To keep precision high, leave out names with initials only

Location: Postal/zip codes (PATSTAT provides address of inventor's residence, SCOPUS provides info for organization, 96.5% of first digit of inventor and organization postal codes are the same, 85.9% first two digits)

Time window: 2-year window between application and publication date

=== Singh A. and Wong P.K: University patenting activities and their link to the quantity and quality of scientific publications (2009) ===

[https://pdfs.semanticscholar.org/bb3a/df09ca693cdcff6c1f6aaf18113cabec2655.pdf]
==== Findings ====
* patenting by 281 leading world universities has consistently grown faster than general American patenting from 1977 - 2000
* North American university patenting growth has slowed relative to universities outside North America since the mid-1990s
* Between 2003-2005, they found that university patenting output has significant correlation with the both the quality and quantity of scientific publishing in North America
* In European and Australian universities, patenting correlated only with the quantity of scientific publishing, not with the quality
* In universities Europe, Australia, and North America, patenting correlated only with the quality of scientific publishing

==== Data Sources ====
* USPTO Patenting Data
* Shanghai Jia Tong University's Academic Ranking of World Universities (ARWU)
* Times Higher Education Supplement's World University Ranking (WUR)
* Quantity was measured by counts of publications
* Quality was measured by citations to said publications
* the relationship between research and patenting was evaluated in two ways
** At the institutional level: patents assigned to universities
** At the individual level: patents with university researchers as the inventors

==== Critiques ====
* citations are not really a perfect measure of research quality and citations have little to do with practical use of the study (i.e. how much technological innovation is generated as a result of academic research publications)

==== Other Discoveries ====

* Study by Landry R., Amara N., and Saihi, M. (2006)
* (Owen Smith and Powell 2003) found that "organizations involved in technological commercialization tend to have higher publication rates than those who are not"
* (Lach and Schankerman 2003) found that "licensing revenues at the university level are positively influenced by publication citations per faculty"

University Patents

2017-02-27T20:48:11Z

Meghanapannala: /* To Do */

{{McNair Projects
|Project Title=University Patents,
|Topic Area=Patents and Innovation,
|Owner=Julia Wang,
|Keywords=Patent,
}}

==Project Overview==
Goal: list of all universities and # of patents each university and patent licensing

patent reassignment to startups associated with these universities

clinical trials (from Catherine) data to rank universities R&D engagement

identify list of universities: board of regents, universities in patent data (find patterns associated with university assignees) -- @Julia: Where did we get this list? I'd love to be able filter by country - Meghana

AUTM?

==Key Words==

===Universities (Patent Assignees)===
BOARD OF REGENTS - pretty much exclusively describes universities

UNIVERSITY - also exclusively describes universities
*Can we do a close match with University? (its the only word on this list that's frequently misspelled)

SCHOOL - often used in combination with medicine or medical to describe medical schools
*also are used to describe actual schools (i.e. HISD) and other businesses
*sometimes present in addresses - can we cut off the adresses?
*also used in combination with Business (i.e. Harvard Business School)
*use school only in conjuction with medical, medicine, and business

COLLEGE
*need to cut off addresses for this to work
*need to ensure that we include the space after
*excl. College Boulevard, college blvd, etc.
*double check everything with College Park

INSTITUTE OF TECHNOLOGY - almost exclusively describes universities but sometimes describes external research institutes

POLYTECHNIC - exclusively university (i.e. RPI, Virginia Tech)

RESEARCH FOUNDATION: VAST majority are university
*Exclusions: it's really difficult to distinguish between university affiliated and not, besides just looking them up on the google
**Novartis
**Progeria
**Washington Research Foundation
**Blood Center of Wisconsins
**Mental Hygiene
**Celiac Sprue
**Fidia
**Samuel Waxman Cancer Center
***founded by a faculty member at Mt. Sinai Medical School,not affil w/a single university but researchers are also usually faculty at various universities
**lifenet
**HealthPartners
**Dr. Susan Love
**La Jolla Cancer Research Foundation
**Children's Hospital (? grants degrees but is a hospital system)
**Medforte
**International Mask
**Palo Alto Medical Foundation

====Exclusions====
*LLC
*LLP

===Technology Transfer Offices===

====Job Titles====
*Patent Portfolio Manager
*Intellectual Property Manager
*Licensing Associate/Licensing Liaison
*Biological Materials Specialist
*Industrial Contracts Officer
*Technology Licensing Officer
*Associate Officer
*Technology Licensing Associates
*Patent Coordinator/Patent Administrator
*IP Portfolio Specialist
*MTA Coordinator
*Sponsored Research Administrator
*Technology Transfer Specialist/Technology Transfer Associate
*Contracts Associate
*Portfolio Director
*Contracts Specialist
*Industry Contracts Analyst
*Patent Prosecution Analyst
*(Associate) Director of Intellectual Property
*(Associate) Director of Technology Transfer Policy
*(Associate) Director of Technology Transactions
*(Associate) Director of Agreement Administration
*Senior Associate - watch
*Patent Attorney/Patent Agent/Patent Counsel/Paralegal - watch

====TTO Names====
*Office of Technology Transfer/Technology Transfer Office
*Office of Technology Licensing/Technology Licensing Office
*Office of Technology Development
*Technology Ventures
*Innovation Services
*Intellectual Property & Industry Research Alliances
*InnovationAccess
*Invention Transfer Group
*Technology Development Group
*Office of Business Development
*Office of Technology Commercialization
*Office of Innovation and Commercialization
*Innovation, Technology & Alliances
*Technology & Industry Alliances
*Office for Management of Intellectual Property
*Innovation & Partnerships Office

===University-Affiliated Startups (Patent Assignees)===

==What to get from other people==

Avesh has clinical trial data on wiki and bulk drive (FDA Trials Data), need to build it into normal form, use clinical trials data to rank R&D engagement of universities, will be building up portfolios of different types of companies

Marcela is cleaning up patent data, has given patent assignee names -- got it! Could we filter by country and get strictly American names?

Catherine has zip codes of medical centers, use to look through patent data

==Questions==
*How innovative are universities compared to publicly-traded firms, etc.? (firms: 100 active patents at any given time)
*How do universities license?
*What does the average portfolio look like for universities? (compared to publicly traded, VC-backed, etc)
*What can explain the differences in rankings? (size, quality of universities, TTOs and quality/experience of workers - searched LinkedIns, geography, entrepreneurship programs, NIH/NSF grants)

==To Do==

1. lit review (look at for 1-2 days), look for holistic picture, what has/hasn’t been done? what are the questions people are asking? (DONE)

2. look at patent data, determine how to find universities in patent database: board of regents, universities in patent data (find patterns associated with university assignees) (DONE)

3. get list of patent assignees with countries attached (DONE - Marcela gave us a list of all american assignees)
===What We Have===

*List of all post-secondary institutions (University Accreditation 3.2016_trim) - U.S. Department of Education
*Classification of universities (Carnegie Classification 2015) - Carnegie Classification
*Amount spent on R&D (Higher Ed R&D Rankings) - National Science Foundation
*STTR full data 1995-2015 (STTRData) - Small Business Administration
*University Patent Numbers 1969-2012 - USPTO

===What We Need===

*List of university-affiliated startups
**[https://www.forbes.com/sites/liyanchen/2015/07/29/americas-most-entrepreneurial-research-universities-2015/#3cb9829b3823| Rankings of Research Universities (2015)]
**FORBES ranked the country’s most entrepreneurial schools based on the numbers of alumni and students who have identified themselves as founders and business owners on LinkedIn (adjusted to total student body size). This year we rank both research universities and [https://www.forbes.com/sites/liyanchen/2015/07/29/americas-most-entrepreneurial-colleges-2015/#2b2909e04604| smaller colleges] separately.
*data about TTOs (# and quality of employees)
**LinkedIn crawler: working with Jeemin
*AUTM academic licensing data [http://www.autm.net/statt]

==Lit Reviews==

===Thursby, J. & Thursby, M.: Who Is Selling the Ivory Tower? Sources of Growth in University Licensing (2002)===

[http://pubsonline.informs.org/doi/pdf/10.1287/mnsc.48.1.90.14271]

@article{thursby2002who,
title={Who Is Selling the Ivory Tower? Sources of Growth in University Licensing},
author={Thursby, Jerry G. and Thursby, Marie C.},
journal={Management Science},
volume={48},
number={1},
pages={90--104},
year={2002},
publisher={INFORMS},
filename={Thursby Thursby (2002) - Who Is Selling the Ivory Tower}
}

*Reliance of industry on university inventions has increased
**AUTM surveys show 7.1% growth in yearly inventions disclosure from 1994-1998 for 64 universities that responded every year
*Primary reason for more disclosures may be increased propensity for faculty to disclose, rather than change in research focus
*Universities becoming more receptive to industry contracts
*Negative total TFP growth of licenses executed (-1.7% annual growth) - growth in disclosures and patent applications greater than the corresponding growth in licenses executed.
**Marginal university innovation offered to the market has declined in commercial appeal
**Universities are delving more deeply into the available pool of innovations to increase commercial activities
*No evidence on the importance of learning by doing on the part of TTOs except to note negative association between TTO growth and TFP growth in licensing
**Suggests at least the possibility of learning by doing effects

'''Other literature'''

*On the role of patents and publications in the transfer process: Adams 1990, Henderson et al. 1998, and Jaffe et al. 1993
*On consulting, sponsored research or institutional ties: Cohen et al. 1998; Mansfield 1995; Zucker et al. 1994, 1998
*On the nature of university licensing: Jensen and Thursby 2001, Mowery et al. 2001a,b, Mowery et al. 2001, Siegel et al. 1999, Thursby et al. 2001, Thursby and Kemp 2001

===Thursby, J., Jensen, Thursby, M.: Objectives, Characteristics and Outcomes of University Licensing: A Survey of Major U.S. Universities (2001)===

[https://pdfs.semanticscholar.org/637f/048c05ee83eb84a914f69e087f52acea1b6c.pdf]

@article{thursby2001objectives,
title={Objectives, Characteristics and Outcomes of University Licensing: A Survey of Major U.S. Universities},
author={Thursby, Jerry G., Jensen, Richard, and Thursby, Marie C.},
journal={The Journal of Technology Transfer},
volume={26},
number={1},
pages={59--72},
year={2001},
publisher={Springer},
abstract={This paper describes results of our survey of licensing at 62 research universities. We consider ownership, income splits, stage of development, marketing, license policies and characteristics, goals of licensing and the role of the inventor in licensing. Based on these results we analyze the relationship between licensing outcomes and both the objectives of the TTO and the characteristics of the technologies. Patent applications grow one-to-one with disclosures, while sponsored research grows similarly with licenses executed. Royalties are typically larger the higher the quality of the faculty and the higher the fraction of licenses that are executed at latter stages of development. Sponsored research is more likely to be included in a license if the new technology is at an early stage of development or if the TTO evaluates it as important. We find that additional disclosures generate smaller percentage increases in licenses, and those increases in licenses generate smaller percentage increases in royalties.},
filename={Thursby et al (2001) - Objectives, Characteristics and Outcomes of University Licensing}
}

*University licensing has increased dramatically post-Bayh-Dole (1980)
**According to AUTM 1996, licenses executed increased 75% from 1991-1996, (total: 13,087)
*Survey of TTOs of 62 major US universities
**Majority of universities retain titles to inventions
**All universities split income with inventors
**Royalties generate most of the revenue of licensing

*Open question: Is the increased propensity of faculty to disclose a response to financial incentives or an increase in the effectiveness of TTOs in inducing disclosure?

Survey
*62/135 universities responded
*63% public, and 62% of public universities that responded were land-grant
*37% private
*average industry sponsored research $16.9 mil, federally sponsored $149.6 mil (1996)
*average TTO: 26.3 licenses executed, 92.3 invention disclosures, 30.1 new patent apps, $4.2 mil income (1996)
*35% of respondents had reorganized TTO since 1990
*90% of universities allow faculty to establish and operate businesses based on technology owned by university but developed in faculty's research
*Inventions disclosed: 33% med schools, 29% engineering, 22% science, 6% agriculture, 10% other
*Majority of invention disclosures in nascent stage (proof of concept - 45% or prototype - 37%)
*Patents often applied for after knowing commercial viability, licensed technologies often not protected by patents
*60% of universities said small companies more likely to take early stage technologies and large companies more likely to take late stage - small firms may have advantage in "innovative" research (Holmstrom 1989)
*TTOs obtain smaller upfront fees the more uncertain the technology being licensed is
*Universities usually do not take equity in the license

Regression of licensing outcomes

[[File:LicensingOutcomeReg.png|500px]]

*Dependent variables: royalties, sponsored research, patents (new applications), licenses executed
*Independent variables: importance of outcome to TTO, types of inventions, measure of size of university's licensing operation/potential
*Logs of all variables except indicator variables
*Probit for frequency of sponsored research
*INVDIS: number of disclosures
*TTOSIZE: number of licensing individuals
*TTOEVAL_1 = 1: if TTOs that said licenses/patents are "not very important"
*TTOEVAL_2 = 1: if TTOs that said licenses/patents are "moderately important"
*PROOF: % of licensed disclosures that were "proof of concept but no prototype"
*PTYPE: "Prototype available but only lab scale"
*MEDSCHL: 1 if med school exists
*QUAL: academic quality of faculty (1993 NRC's survey results of academic quality of Ph.D. granting departments)
*LICENSES: number of licenses executed
*SPONRES: amount of sponsored research
*SPONFREQ: frequency that sponsored research is tied to license (according to TTO)
*patent apps grow 1-to-1 with disclosures
*sponsored research grows with licenses executed
*more licenses executed at universities with large TTOs and med schools
*higher royalties with higher quality of faculty and higher fraction of licenses executed at later stages of development
*additional disclosures generate smaller % increases in licenses, which generate smaller % increases in royalties (TTOs generally effective at tapping pool of available technologies in their universities)

===Thursby, J., Fuller, Thursby, M.: US Faculty Patenting: Inside and Outside the University (2009)===

[http://www.nber.org/papers/w13256.pdf]

@article{thursby2009us,
title = "US Faculty Patenting: Inside and Outside the University",
author = "Jerry G. Thursby, Anne W. Fuller, and Marie C. Thursby",
journal={Research Policy},
volume={38},
number={1},
pages={14--25},
year={2009},
publisher={Elsevier},
abstract = {This paper examines the empirical anomaly that in a sample of 5811 patents on which US faculty are listed as inventors, 26% of the patents are assigned solely to firms rather than to the faculty member's university as is dictated by US university employment policies or the Bayh Dole Act. In this paper we estimate a series of probability models of assignment as a function of patent characteristics, university policy, and inventor fields in order to examine the extent to which outside assignment is nefarious or comes from legitimate activities, such as consulting. Patents assigned to firms (whether established or start-ups with inventor as principal) are less basic than those assigned to universities suggesting these patents result from faculty consulting. A higher inventor share increases the likelihood of university assignment as compared with assignment to a firm in which the inventor is a principal but it has no effect on consulting with established firms versus assignment to the university. Faculty in the physical sciences and engineering are more likely to assign their patents to established firms than those in biological sciences.},
filename={Thursby et al (2009) - US Faculty Patenting},
}

*only 62.4% of patents by university faculty members of 87 universities were assigned solely to universities
*identifying US university patents by institutional assignment misses significant percentage of faculty innovation in US universities
*higher inventor share increases likelihood of university assignment compared with assignment to a firm where inventor is principal
*possibilities: faculty in low share universities may be more willing to seek outside remuneration via assignment to start-up where they are principal; revenue shares may not affect startup activity but simply reduce number of inventions disclosed to university

Sources
*Faculty names from NRC
*Compared with inventor names in NBER Patent Database
*Excluded faculty who do not patent

Patent/Inventor Pairs
*MIT: 315
*Wisconsin: 232
*Stanford: 223
*UC San Diego: 216
*UC Berkeley: 207

Out of 5811 patents:
*1513 assigned solely to firms
*241 assigned to both firms and universities
*327 unassigned
*faculty are principals in assignee firms for 32.3% of patents assigned solely to firms and 24% of patents assigned to both (lower bound)

=== Valdivia: University Start-ups: Critical for Improving Technology Transfer (2013) ===

[https://www.brookings.edu/wp-content/uploads/2016/06/Valdivia_Tech-Transfer_v29_No-Embargo.pdf]

*Current emphasis on licensing patents, but most university TTOs do not generate enough to cover operating expenses
*Asymmetry in distribution of resources across the university system, only a few universities benefit from high licensing revenues
**top 8 universities took 50% of licensing income, top 16 universities took nearly 75% of income
**only 37 universities have been in the top 20 during the last decade (listed in University Patents > LicensingGrossIncome2003-2012.txt)
*Universities face much more pressure to demonstrate the economic impact of their R&D contracts
**97.6% of total public contracts obtained by universities are for basic/applied research
**2% of university research delivers ready-to-use technologies
**academic research is much more dependent on government funding than industry research is
*Government pressure for universities to be more responsive to market forces, more entrepreneurial, more attuned to needs of industry
*TTOs are costly to universities
*1979: 30 universities with TTO -> 1999: 174 universities (AUTM)
*2010: 206 US universities have very high or high research activity, all with TTOs (but not all report to AUTM) (Carnegie Classification of Higher Education)
*Over last 20 years, 87% of universities did not break even
*Clash between aims of university (non-profit) and TTO (essentially a business unit)
*By nurturing start-ups, TTOs can add most economic value to an invention disclosure
*2003: universities initiated 330 startups, 2012: 647 startups
*2012: 3715 operating university startups, almost double the number in 2000 (AUTM 2013)
*Startups mitigate financial risk by reducing reliance on blockbuster patents, increase diversification of portfolio
*Policy proposal: the government should increase funding for Small Business Technology Transfer Program (directed to university start-ups)
**H.R.2981: reapportions STTR funds at 0.05% in the next 2 years and 0.1% henceforth for university enterprises at proof of concept stage
*Should increase portion that agencies set aside for STTR
**STTR should have Phase III like SBIR to fund commercialization efforts
*Need equitable distribution across university system

=== The Bayh-Dole Act and High-Technology Entrepreneurship in U.S. Universities: Chicken, Egg, or Something Else? (2004) ===

[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.484.1612&rep=rep1&type=pdf]

==== Findings ====

* University research has an unusually significant impact on industrial innovation in the biomedical sector
* " This work also suggests that academic research rarely produces “prototypes” of inventions for development
and commercialization by industry—instead, academic research informs the methods and disciplines
employed by firms in their R&D facilities."
* The U.S. higher education system is much larger and more heterogenous than other developed countries - this encourages competition
* The passage of the Bayh-Dole Act was one part of a broader shift in U.S. policy toward stronger
intellectual property rights
* "Universities increased their share of patenting from less than 0.3% in 1963 to nearly 4% by 1999, but the rate of growth in this share begins to accelerate before rather than after 1980."
* "the Act's provisions expressed Congressional support for the negotiation of exclusive licenses between universities and industrial firms for the results of federally funded research"
* licensing revenues account for only a miniscule portion of universities' overall academic budgets
* the acceleration in growth of patenting and licensing began before the passage of the Bayh-Dole Act so this acceleration cannot be wholly attributed to the Act
* "the flow of knowledge and technology between university and industrial research is a two-way flow," despite previous characterization as wholly from academia to industry
* patents seem to be "especially important channels for technology transfer" in the biomedical sector

==== Data Sources ====
* 5 different case studies
1. Cotransformation: a process to transfer genes into mammalian cells (Columbia University).

2. Gallium Nitride: a semiconductor with both military and commercial applications (University of California).

3. Xalatan: a glaucoma treatment (Columbia University).

4. Ames II Tests: a bacteria assay for testing potential carcinogenic properties of pharmaceuticals and cosmetics (University of California).

5. Soluble CD4: a prototype for a drug to fight AIDS (Columbia University).

==== Critiques ====
* focuses on case studies as source of data

===Dornbusch, Schmoch, Schulze, Bethke: Identification of University-Based Patents: A New Large-Scale Approach (2012)===

[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.722.1368&rep=rep1&type=pdf]

Specific for German case, but certain points can help us

European convergence to US model (Bayh-Dole seen as main driver behind growing patent portfolios of US universities)

*University-owned patents (assigned to universities or their TTOs) and university-invented patents (assigned to university-affiliated authors)

Matching lists: traditional matching of lists of university staff/professors with inventor data
*time-consuming, costly, possibly not updated
*typically limited to tenured professors
*does not include Ph.D. students, assistants, lecturers

Matched authors of scientific publications and inventors on patents
*beware of homonyms

Patent data from EPO Worldwide Patent Statistical Database (PATSTAT)

Publication data from Elsevier (Scopus)

Country of origin: Inventor Country/Assignee Country/Applicant Country = Germany, Location of Organization to which author is affiliated =Germany
*Restrict dataset to authors from German organizations and inventors with residence in Germany

The organization

Names: To keep precision high, leave out names with initials only

Location: Postal/zip codes (PATSTAT provides address of inventor's residence, SCOPUS provides info for organization, 96.5% of first digit of inventor and organization postal codes are the same, 85.9% first two digits)

Time window: 2-year window between application and publication date

=== Singh A. and Wong P.K: University patenting activities and their link to the quantity and quality of scientific publications (2009) ===

[https://pdfs.semanticscholar.org/bb3a/df09ca693cdcff6c1f6aaf18113cabec2655.pdf]
==== Findings ====
* patenting by 281 leading world universities has consistently grown faster than general American patenting from 1977 - 2000
* North American university patenting growth has slowed relative to universities outside North America since the mid-1990s
* Between 2003-2005, they found that university patenting output has significant correlation with the both the quality and quantity of scientific publishing in North America
* In European and Australian universities, patenting correlated only with the quantity of scientific publishing, not with the quality
* In universities Europe, Australia, and North America, patenting correlated only with the quality of scientific publishing

==== Data Sources ====
* USPTO Patenting Data
* Shanghai Jia Tong University's Academic Ranking of World Universities (ARWU)
* Times Higher Education Supplement's World University Ranking (WUR)
* Quantity was measured by counts of publications
* Quality was measured by citations to said publications
* the relationship between research and patenting was evaluated in two ways
** At the institutional level: patents assigned to universities
** At the individual level: patents with university researchers as the inventors

==== Critiques ====
* citations are not really a perfect measure of research quality and citations have little to do with practical use of the study (i.e. how much technological innovation is generated as a result of academic research publications)

==== Other Discoveries ====

* Study by Landry R., Amara N., and Saihi, M. (2006)
* (Owen Smith and Powell 2003) found that "organizations involved in technological commercialization tend to have higher publication rates than those who are not"
* (Lach and Schankerman 2003) found that "licensing revenues at the university level are positively influenced by publication citations per faculty"

University Patents

2017-02-27T20:47:46Z

Meghanapannala: /* To Do */

{{McNair Projects
|Project Title=University Patents,
|Topic Area=Patents and Innovation,
|Owner=Julia Wang,
|Keywords=Patent,
}}

==Project Overview==
Goal: list of all universities and # of patents each university and patent licensing

patent reassignment to startups associated with these universities

clinical trials (from Catherine) data to rank universities R&D engagement

identify list of universities: board of regents, universities in patent data (find patterns associated with university assignees) -- @Julia: Where did we get this list? I'd love to be able filter by country - Meghana

AUTM?

==Key Words==

===Universities (Patent Assignees)===
BOARD OF REGENTS - pretty much exclusively describes universities

UNIVERSITY - also exclusively describes universities
*Can we do a close match with University? (its the only word on this list that's frequently misspelled)

SCHOOL - often used in combination with medicine or medical to describe medical schools
*also are used to describe actual schools (i.e. HISD) and other businesses
*sometimes present in addresses - can we cut off the adresses?
*also used in combination with Business (i.e. Harvard Business School)
*use school only in conjuction with medical, medicine, and business

COLLEGE
*need to cut off addresses for this to work
*need to ensure that we include the space after
*excl. College Boulevard, college blvd, etc.
*double check everything with College Park

INSTITUTE OF TECHNOLOGY - almost exclusively describes universities but sometimes describes external research institutes

POLYTECHNIC - exclusively university (i.e. RPI, Virginia Tech)

RESEARCH FOUNDATION: VAST majority are university
*Exclusions: it's really difficult to distinguish between university affiliated and not, besides just looking them up on the google
**Novartis
**Progeria
**Washington Research Foundation
**Blood Center of Wisconsins
**Mental Hygiene
**Celiac Sprue
**Fidia
**Samuel Waxman Cancer Center
***founded by a faculty member at Mt. Sinai Medical School,not affil w/a single university but researchers are also usually faculty at various universities
**lifenet
**HealthPartners
**Dr. Susan Love
**La Jolla Cancer Research Foundation
**Children's Hospital (? grants degrees but is a hospital system)
**Medforte
**International Mask
**Palo Alto Medical Foundation

====Exclusions====
*LLC
*LLP

===Technology Transfer Offices===

====Job Titles====
*Patent Portfolio Manager
*Intellectual Property Manager
*Licensing Associate/Licensing Liaison
*Biological Materials Specialist
*Industrial Contracts Officer
*Technology Licensing Officer
*Associate Officer
*Technology Licensing Associates
*Patent Coordinator/Patent Administrator
*IP Portfolio Specialist
*MTA Coordinator
*Sponsored Research Administrator
*Technology Transfer Specialist/Technology Transfer Associate
*Contracts Associate
*Portfolio Director
*Contracts Specialist
*Industry Contracts Analyst
*Patent Prosecution Analyst
*(Associate) Director of Intellectual Property
*(Associate) Director of Technology Transfer Policy
*(Associate) Director of Technology Transactions
*(Associate) Director of Agreement Administration
*Senior Associate - watch
*Patent Attorney/Patent Agent/Patent Counsel/Paralegal - watch

====TTO Names====
*Office of Technology Transfer/Technology Transfer Office
*Office of Technology Licensing/Technology Licensing Office
*Office of Technology Development
*Technology Ventures
*Innovation Services
*Intellectual Property & Industry Research Alliances
*InnovationAccess
*Invention Transfer Group
*Technology Development Group
*Office of Business Development
*Office of Technology Commercialization
*Office of Innovation and Commercialization
*Innovation, Technology & Alliances
*Technology & Industry Alliances
*Office for Management of Intellectual Property
*Innovation & Partnerships Office

===University-Affiliated Startups (Patent Assignees)===

==What to get from other people==

Avesh has clinical trial data on wiki and bulk drive (FDA Trials Data), need to build it into normal form, use clinical trials data to rank R&D engagement of universities, will be building up portfolios of different types of companies

Marcela is cleaning up patent data, has given patent assignee names -- got it! Could we filter by country and get strictly American names?

Catherine has zip codes of medical centers, use to look through patent data

==Questions==
*How innovative are universities compared to publicly-traded firms, etc.? (firms: 100 active patents at any given time)
*How do universities license?
*What does the average portfolio look like for universities? (compared to publicly traded, VC-backed, etc)
*What can explain the differences in rankings? (size, quality of universities, TTOs and quality/experience of workers - searched LinkedIns, geography, entrepreneurship programs, NIH/NSF grants)

==To Do==

1. lit review (look at for 1-2 days), look for holistic picture, what has/hasn’t been done? what are the questions people are asking? (DONE)

2. look at patent data, determine how to find universities in patent database: board of regents, universities in patent data (find patterns associated with university assignees) (DONE)

3. get list of patent assignees with countries attached (Marcela will hopefully get this by 2/27)
We have list for all American companies

===What We Have===

*List of all post-secondary institutions (University Accreditation 3.2016_trim) - U.S. Department of Education
*Classification of universities (Carnegie Classification 2015) - Carnegie Classification
*Amount spent on R&D (Higher Ed R&D Rankings) - National Science Foundation
*STTR full data 1995-2015 (STTRData) - Small Business Administration
*University Patent Numbers 1969-2012 - USPTO

===What We Need===

*List of university-affiliated startups
**[https://www.forbes.com/sites/liyanchen/2015/07/29/americas-most-entrepreneurial-research-universities-2015/#3cb9829b3823| Rankings of Research Universities (2015)]
**FORBES ranked the country’s most entrepreneurial schools based on the numbers of alumni and students who have identified themselves as founders and business owners on LinkedIn (adjusted to total student body size). This year we rank both research universities and [https://www.forbes.com/sites/liyanchen/2015/07/29/americas-most-entrepreneurial-colleges-2015/#2b2909e04604| smaller colleges] separately.
*data about TTOs (# and quality of employees)
**LinkedIn crawler: working with Jeemin
*AUTM academic licensing data [http://www.autm.net/statt]

==Lit Reviews==

===Thursby, J. & Thursby, M.: Who Is Selling the Ivory Tower? Sources of Growth in University Licensing (2002)===

[http://pubsonline.informs.org/doi/pdf/10.1287/mnsc.48.1.90.14271]

@article{thursby2002who,
title={Who Is Selling the Ivory Tower? Sources of Growth in University Licensing},
author={Thursby, Jerry G. and Thursby, Marie C.},
journal={Management Science},
volume={48},
number={1},
pages={90--104},
year={2002},
publisher={INFORMS},
filename={Thursby Thursby (2002) - Who Is Selling the Ivory Tower}
}

*Reliance of industry on university inventions has increased
**AUTM surveys show 7.1% growth in yearly inventions disclosure from 1994-1998 for 64 universities that responded every year
*Primary reason for more disclosures may be increased propensity for faculty to disclose, rather than change in research focus
*Universities becoming more receptive to industry contracts
*Negative total TFP growth of licenses executed (-1.7% annual growth) - growth in disclosures and patent applications greater than the corresponding growth in licenses executed.
**Marginal university innovation offered to the market has declined in commercial appeal
**Universities are delving more deeply into the available pool of innovations to increase commercial activities
*No evidence on the importance of learning by doing on the part of TTOs except to note negative association between TTO growth and TFP growth in licensing
**Suggests at least the possibility of learning by doing effects

'''Other literature'''

*On the role of patents and publications in the transfer process: Adams 1990, Henderson et al. 1998, and Jaffe et al. 1993
*On consulting, sponsored research or institutional ties: Cohen et al. 1998; Mansfield 1995; Zucker et al. 1994, 1998
*On the nature of university licensing: Jensen and Thursby 2001, Mowery et al. 2001a,b, Mowery et al. 2001, Siegel et al. 1999, Thursby et al. 2001, Thursby and Kemp 2001

===Thursby, J., Jensen, Thursby, M.: Objectives, Characteristics and Outcomes of University Licensing: A Survey of Major U.S. Universities (2001)===

[https://pdfs.semanticscholar.org/637f/048c05ee83eb84a914f69e087f52acea1b6c.pdf]

@article{thursby2001objectives,
title={Objectives, Characteristics and Outcomes of University Licensing: A Survey of Major U.S. Universities},
author={Thursby, Jerry G., Jensen, Richard, and Thursby, Marie C.},
journal={The Journal of Technology Transfer},
volume={26},
number={1},
pages={59--72},
year={2001},
publisher={Springer},
abstract={This paper describes results of our survey of licensing at 62 research universities. We consider ownership, income splits, stage of development, marketing, license policies and characteristics, goals of licensing and the role of the inventor in licensing. Based on these results we analyze the relationship between licensing outcomes and both the objectives of the TTO and the characteristics of the technologies. Patent applications grow one-to-one with disclosures, while sponsored research grows similarly with licenses executed. Royalties are typically larger the higher the quality of the faculty and the higher the fraction of licenses that are executed at latter stages of development. Sponsored research is more likely to be included in a license if the new technology is at an early stage of development or if the TTO evaluates it as important. We find that additional disclosures generate smaller percentage increases in licenses, and those increases in licenses generate smaller percentage increases in royalties.},
filename={Thursby et al (2001) - Objectives, Characteristics and Outcomes of University Licensing}
}

*University licensing has increased dramatically post-Bayh-Dole (1980)
**According to AUTM 1996, licenses executed increased 75% from 1991-1996, (total: 13,087)
*Survey of TTOs of 62 major US universities
**Majority of universities retain titles to inventions
**All universities split income with inventors
**Royalties generate most of the revenue of licensing

*Open question: Is the increased propensity of faculty to disclose a response to financial incentives or an increase in the effectiveness of TTOs in inducing disclosure?

Survey
*62/135 universities responded
*63% public, and 62% of public universities that responded were land-grant
*37% private
*average industry sponsored research $16.9 mil, federally sponsored $149.6 mil (1996)
*average TTO: 26.3 licenses executed, 92.3 invention disclosures, 30.1 new patent apps, $4.2 mil income (1996)
*35% of respondents had reorganized TTO since 1990
*90% of universities allow faculty to establish and operate businesses based on technology owned by university but developed in faculty's research
*Inventions disclosed: 33% med schools, 29% engineering, 22% science, 6% agriculture, 10% other
*Majority of invention disclosures in nascent stage (proof of concept - 45% or prototype - 37%)
*Patents often applied for after knowing commercial viability, licensed technologies often not protected by patents
*60% of universities said small companies more likely to take early stage technologies and large companies more likely to take late stage - small firms may have advantage in "innovative" research (Holmstrom 1989)
*TTOs obtain smaller upfront fees the more uncertain the technology being licensed is
*Universities usually do not take equity in the license

Regression of licensing outcomes

[[File:LicensingOutcomeReg.png|500px]]

*Dependent variables: royalties, sponsored research, patents (new applications), licenses executed
*Independent variables: importance of outcome to TTO, types of inventions, measure of size of university's licensing operation/potential
*Logs of all variables except indicator variables
*Probit for frequency of sponsored research
*INVDIS: number of disclosures
*TTOSIZE: number of licensing individuals
*TTOEVAL_1 = 1: if TTOs that said licenses/patents are "not very important"
*TTOEVAL_2 = 1: if TTOs that said licenses/patents are "moderately important"
*PROOF: % of licensed disclosures that were "proof of concept but no prototype"
*PTYPE: "Prototype available but only lab scale"
*MEDSCHL: 1 if med school exists
*QUAL: academic quality of faculty (1993 NRC's survey results of academic quality of Ph.D. granting departments)
*LICENSES: number of licenses executed
*SPONRES: amount of sponsored research
*SPONFREQ: frequency that sponsored research is tied to license (according to TTO)
*patent apps grow 1-to-1 with disclosures
*sponsored research grows with licenses executed
*more licenses executed at universities with large TTOs and med schools
*higher royalties with higher quality of faculty and higher fraction of licenses executed at later stages of development
*additional disclosures generate smaller % increases in licenses, which generate smaller % increases in royalties (TTOs generally effective at tapping pool of available technologies in their universities)

===Thursby, J., Fuller, Thursby, M.: US Faculty Patenting: Inside and Outside the University (2009)===

[http://www.nber.org/papers/w13256.pdf]

@article{thursby2009us,
title = "US Faculty Patenting: Inside and Outside the University",
author = "Jerry G. Thursby, Anne W. Fuller, and Marie C. Thursby",
journal={Research Policy},
volume={38},
number={1},
pages={14--25},
year={2009},
publisher={Elsevier},
abstract = {This paper examines the empirical anomaly that in a sample of 5811 patents on which US faculty are listed as inventors, 26% of the patents are assigned solely to firms rather than to the faculty member's university as is dictated by US university employment policies or the Bayh Dole Act. In this paper we estimate a series of probability models of assignment as a function of patent characteristics, university policy, and inventor fields in order to examine the extent to which outside assignment is nefarious or comes from legitimate activities, such as consulting. Patents assigned to firms (whether established or start-ups with inventor as principal) are less basic than those assigned to universities suggesting these patents result from faculty consulting. A higher inventor share increases the likelihood of university assignment as compared with assignment to a firm in which the inventor is a principal but it has no effect on consulting with established firms versus assignment to the university. Faculty in the physical sciences and engineering are more likely to assign their patents to established firms than those in biological sciences.},
filename={Thursby et al (2009) - US Faculty Patenting},
}

*only 62.4% of patents by university faculty members of 87 universities were assigned solely to universities
*identifying US university patents by institutional assignment misses significant percentage of faculty innovation in US universities
*higher inventor share increases likelihood of university assignment compared with assignment to a firm where inventor is principal
*possibilities: faculty in low share universities may be more willing to seek outside remuneration via assignment to start-up where they are principal; revenue shares may not affect startup activity but simply reduce number of inventions disclosed to university

Sources
*Faculty names from NRC
*Compared with inventor names in NBER Patent Database
*Excluded faculty who do not patent

Patent/Inventor Pairs
*MIT: 315
*Wisconsin: 232
*Stanford: 223
*UC San Diego: 216
*UC Berkeley: 207

Out of 5811 patents:
*1513 assigned solely to firms
*241 assigned to both firms and universities
*327 unassigned
*faculty are principals in assignee firms for 32.3% of patents assigned solely to firms and 24% of patents assigned to both (lower bound)

=== Valdivia: University Start-ups: Critical for Improving Technology Transfer (2013) ===

[https://www.brookings.edu/wp-content/uploads/2016/06/Valdivia_Tech-Transfer_v29_No-Embargo.pdf]

*Current emphasis on licensing patents, but most university TTOs do not generate enough to cover operating expenses
*Asymmetry in distribution of resources across the university system, only a few universities benefit from high licensing revenues
**top 8 universities took 50% of licensing income, top 16 universities took nearly 75% of income
**only 37 universities have been in the top 20 during the last decade (listed in University Patents > LicensingGrossIncome2003-2012.txt)
*Universities face much more pressure to demonstrate the economic impact of their R&D contracts
**97.6% of total public contracts obtained by universities are for basic/applied research
**2% of university research delivers ready-to-use technologies
**academic research is much more dependent on government funding than industry research is
*Government pressure for universities to be more responsive to market forces, more entrepreneurial, more attuned to needs of industry
*TTOs are costly to universities
*1979: 30 universities with TTO -> 1999: 174 universities (AUTM)
*2010: 206 US universities have very high or high research activity, all with TTOs (but not all report to AUTM) (Carnegie Classification of Higher Education)
*Over last 20 years, 87% of universities did not break even
*Clash between aims of university (non-profit) and TTO (essentially a business unit)
*By nurturing start-ups, TTOs can add most economic value to an invention disclosure
*2003: universities initiated 330 startups, 2012: 647 startups
*2012: 3715 operating university startups, almost double the number in 2000 (AUTM 2013)
*Startups mitigate financial risk by reducing reliance on blockbuster patents, increase diversification of portfolio
*Policy proposal: the government should increase funding for Small Business Technology Transfer Program (directed to university start-ups)
**H.R.2981: reapportions STTR funds at 0.05% in the next 2 years and 0.1% henceforth for university enterprises at proof of concept stage
*Should increase portion that agencies set aside for STTR
**STTR should have Phase III like SBIR to fund commercialization efforts
*Need equitable distribution across university system

=== The Bayh-Dole Act and High-Technology Entrepreneurship in U.S. Universities: Chicken, Egg, or Something Else? (2004) ===

[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.484.1612&rep=rep1&type=pdf]

==== Findings ====

* University research has an unusually significant impact on industrial innovation in the biomedical sector
* " This work also suggests that academic research rarely produces “prototypes” of inventions for development
and commercialization by industry—instead, academic research informs the methods and disciplines
employed by firms in their R&D facilities."
* The U.S. higher education system is much larger and more heterogenous than other developed countries - this encourages competition
* The passage of the Bayh-Dole Act was one part of a broader shift in U.S. policy toward stronger
intellectual property rights
* "Universities increased their share of patenting from less than 0.3% in 1963 to nearly 4% by 1999, but the rate of growth in this share begins to accelerate before rather than after 1980."
* "the Act's provisions expressed Congressional support for the negotiation of exclusive licenses between universities and industrial firms for the results of federally funded research"
* licensing revenues account for only a miniscule portion of universities' overall academic budgets
* the acceleration in growth of patenting and licensing began before the passage of the Bayh-Dole Act so this acceleration cannot be wholly attributed to the Act
* "the flow of knowledge and technology between university and industrial research is a two-way flow," despite previous characterization as wholly from academia to industry
* patents seem to be "especially important channels for technology transfer" in the biomedical sector

==== Data Sources ====
* 5 different case studies
1. Cotransformation: a process to transfer genes into mammalian cells (Columbia University).

2. Gallium Nitride: a semiconductor with both military and commercial applications (University of California).

3. Xalatan: a glaucoma treatment (Columbia University).

4. Ames II Tests: a bacteria assay for testing potential carcinogenic properties of pharmaceuticals and cosmetics (University of California).

5. Soluble CD4: a prototype for a drug to fight AIDS (Columbia University).

==== Critiques ====
* focuses on case studies as source of data

===Dornbusch, Schmoch, Schulze, Bethke: Identification of University-Based Patents: A New Large-Scale Approach (2012)===

[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.722.1368&rep=rep1&type=pdf]

Specific for German case, but certain points can help us

European convergence to US model (Bayh-Dole seen as main driver behind growing patent portfolios of US universities)

*University-owned patents (assigned to universities or their TTOs) and university-invented patents (assigned to university-affiliated authors)

Matching lists: traditional matching of lists of university staff/professors with inventor data
*time-consuming, costly, possibly not updated
*typically limited to tenured professors
*does not include Ph.D. students, assistants, lecturers

Matched authors of scientific publications and inventors on patents
*beware of homonyms

Patent data from EPO Worldwide Patent Statistical Database (PATSTAT)

Publication data from Elsevier (Scopus)

Country of origin: Inventor Country/Assignee Country/Applicant Country = Germany, Location of Organization to which author is affiliated =Germany
*Restrict dataset to authors from German organizations and inventors with residence in Germany

The organization

Names: To keep precision high, leave out names with initials only

Location: Postal/zip codes (PATSTAT provides address of inventor's residence, SCOPUS provides info for organization, 96.5% of first digit of inventor and organization postal codes are the same, 85.9% first two digits)

Time window: 2-year window between application and publication date

=== Singh A. and Wong P.K: University patenting activities and their link to the quantity and quality of scientific publications (2009) ===

[https://pdfs.semanticscholar.org/bb3a/df09ca693cdcff6c1f6aaf18113cabec2655.pdf]
==== Findings ====
* patenting by 281 leading world universities has consistently grown faster than general American patenting from 1977 - 2000
* North American university patenting growth has slowed relative to universities outside North America since the mid-1990s
* Between 2003-2005, they found that university patenting output has significant correlation with the both the quality and quantity of scientific publishing in North America
* In European and Australian universities, patenting correlated only with the quantity of scientific publishing, not with the quality
* In universities Europe, Australia, and North America, patenting correlated only with the quality of scientific publishing

==== Data Sources ====
* USPTO Patenting Data
* Shanghai Jia Tong University's Academic Ranking of World Universities (ARWU)
* Times Higher Education Supplement's World University Ranking (WUR)
* Quantity was measured by counts of publications
* Quality was measured by citations to said publications
* the relationship between research and patenting was evaluated in two ways
** At the institutional level: patents assigned to universities
** At the individual level: patents with university researchers as the inventors

==== Critiques ====
* citations are not really a perfect measure of research quality and citations have little to do with practical use of the study (i.e. how much technological innovation is generated as a result of academic research publications)

==== Other Discoveries ====

* Study by Landry R., Amara N., and Saihi, M. (2006)
* (Owen Smith and Powell 2003) found that "organizations involved in technological commercialization tend to have higher publication rates than those who are not"
* (Lach and Schankerman 2003) found that "licensing revenues at the university level are positively influenced by publication citations per faculty"

University Patents

2017-02-24T20:54:05Z

Meghanapannala: /* LIKELY USE OF KEY WORDS: */

{{McNair Projects
|Project Title=University Patents,
|Topic Area=Patents and Innovation,
|Owner=Julia Wang,
|Keywords=Patent,
}}

==Project Overview==
Goal: list of all universities and # of patents each university and patent licensing

patent reassignment to startups associated with these universities

clinical trials (from Catherine) data to rank universities R&D engagement

identify list of universities: board of regents, universities in patent data (find patterns associated with university assignees) -- @Julia: Where did we get this list? I'd love to be able filter by country - Meghana

AUTM?

=== Key Words for finding Universities ===

==KEY WORDS:==
BOARD OF REGENTS - pretty much exclusively describes Universities

UNIVERSITY - also exclusively describes Universities
*Can we do a close match with University? (its the only word on this list that's frequently misspelled)

SCHOOL - often used in combination with medicine or medical to describe medical schools

** also are used to describe actual schools (i.e. HISD) and other businesses
** sometimes present in addresses - can we cut off the adresses?
** also used in combination with Business (i.e. Harvard Business School)
** use school only in conjuction with medical, medicine, and business
COLLEGE
** need to cut off addresses for this to work
** need to ensure that we include the space after
** excl. College Boulevard, college blvd, etc.
** double check everything with College Park

INSTITUTE OF TECHNOLOGY - almost exclusively describes universities but sometimes describes external research institutes

POLYTECHNIC - exclusively university (i.e. RPI, Virginia Tech)

RESEARCH FOUNDATION: VAST majority are university
* Exclusions: it's really difficult to distinguish between university affiliated and not, besides just looking them up on the google
**Novartis
**Progeria
**Washington Research Foundation
**Blood Center of Wisconsins
**Mental Hygiene
**Celiac Sprue
**Fidia
**Samuel Waxman cancer center -
***founded by a faculty member at mt. sinai medical school,not affil w/a single university but researchers are also usually faculty at various universities
**lifenet
**HealthPartners
**Dr. Susan Love
**La Jolla Cancer Research Foundation
**children's hospital (? grants degrees but is a hospital system)
**medforte
**international mask
**palo alto medical foundation

==Exclusions==
LLC
LLP

==What to get from other people==

Avesh has clinical trial data on wiki and bulk drive (FDA Trials Data), need to build it into normal form, use clinical trials data to rank R&D engagement of universities, will be building up portfolios of different types of companies

Marcela is cleaning up patent data, has given patent assignee names -- got it! Could we filter by country and get strictly American names?

Catherine has zip codes of medical centers, use to look through patent data

==Questions==
*How innovative are universities compared to publicly-traded firms, etc.? (firms: 100 active patents at any given time)
*How do universities license?
*What does the average portfolio look like for universities? (compared to publicly traded, VC-backed, etc)
*What can explain the differences in rankings? (size, quality of universities, TTOs and quality/experience of workers - searched LinkedIns, geography, entrepreneurship programs, NIH/NSF grants)

==To Do==

1. lit review (look at for 1-2 days), look for holistic picture, what has/hasn’t been done? what are the questions people are asking? (DONE)

2. look at patent data, determine how to find universities in patent database: board of regents, universities in patent data (find patterns associated with university assignees) (DONE)

3. get list of patent assignees with countries attached (Marcela will hopefully get this by 2/24)

===What We Need===

*List of university-affiliated startups
**Figure out how to do this
*data about TTOs (# and quality of employees)
**LinkedIn crawler:
*AUTM academic licensing data [www.autm.net/statt]

==Lit Reviews==

===Thursby, J. & Thursby, M.: Who Is Selling the Ivory Tower? Sources of Growth in University Licensing (2002)===

[http://pubsonline.informs.org/doi/pdf/10.1287/mnsc.48.1.90.14271]

@article{thursby2002who,
title={Who Is Selling the Ivory Tower? Sources of Growth in University Licensing},
author={Thursby, Jerry G. and Thursby, Marie C.},
journal={Management Science},
volume={48},
number={1},
pages={90--104},
year={2002},
publisher={INFORMS},
filename={Thursby Thursby (2002) - Who Is Selling the Ivory Tower}
}

*Reliance of industry on university inventions has increased
**AUTM surveys show 7.1% growth in yearly inventions disclosure from 1994-1998 for 64 universities that responded every year
*Primary reason for more disclosures may be increased propensity for faculty to disclose, rather than change in research focus
*Universities becoming more receptive to industry contracts
*Negative total TFP growth of licenses executed (-1.7% annual growth) - growth in disclosures and patent applications greater than the corresponding growth in licenses executed.
**Marginal university innovation offered to the market has declined in commercial appeal
**Universities are delving more deeply into the available pool of innovations to increase commercial activities
*No evidence on the importance of learning by doing on the part of TTOs except to note negative association between TTO growth and TFP growth in licensing
**Suggests at least the possibility of learning by doing effects

'''Other literature'''

*On the role of patents and publications in the transfer process: Adams 1990, Henderson et al. 1998, and Jaffe et al. 1993
*On consulting, sponsored research or institutional ties: Cohen et al. 1998; Mansfield 1995; Zucker et al. 1994, 1998
*On the nature of university licensing: Jensen and Thursby 2001, Mowery et al. 2001a,b, Mowery et al. 2001, Siegel et al. 1999, Thursby et al. 2001, Thursby and Kemp 2001

===Thursby, J., Jensen, Thursby, M.: Objectives, Characteristics and Outcomes of University Licensing: A Survey of Major U.S. Universities (2001)===

[https://pdfs.semanticscholar.org/637f/048c05ee83eb84a914f69e087f52acea1b6c.pdf]

@article{thursby2001objectives,
title={Objectives, Characteristics and Outcomes of University Licensing: A Survey of Major U.S. Universities},
author={Thursby, Jerry G., Jensen, Richard, and Thursby, Marie C.},
journal={The Journal of Technology Transfer},
volume={26},
number={1},
pages={59--72},
year={2001},
publisher={Springer},
abstract={This paper describes results of our survey of licensing at 62 research universities. We consider ownership, income splits, stage of development, marketing, license policies and characteristics, goals of licensing and the role of the inventor in licensing. Based on these results we analyze the relationship between licensing outcomes and both the objectives of the TTO and the characteristics of the technologies. Patent applications grow one-to-one with disclosures, while sponsored research grows similarly with licenses executed. Royalties are typically larger the higher the quality of the faculty and the higher the fraction of licenses that are executed at latter stages of development. Sponsored research is more likely to be included in a license if the new technology is at an early stage of development or if the TTO evaluates it as important. We find that additional disclosures generate smaller percentage increases in licenses, and those increases in licenses generate smaller percentage increases in royalties.},
filename={Thursby et al (2001) - Objectives, Characteristics and Outcomes of University Licensing}
}

*University licensing has increased dramatically post-Bayh-Dole (1980)
**According to AUTM 1996, licenses executed increased 75% from 1991-1996, (total: 13,087)
*Survey of TTOs of 62 major US universities
**Majority of universities retain titles to inventions
**All universities split income with inventors
**Royalties generate most of the revenue of licensing

*Open question: Is the increased propensity of faculty to disclose a response to financial incentives or an increase in the effectiveness of TTOs in inducing disclosure?

Survey
*62/135 universities responded
*63% public, and 62% of public universities that responded were land-grant
*37% private
*average industry sponsored research $16.9 mil, federally sponsored $149.6 mil (1996)
*average TTO: 26.3 licenses executed, 92.3 invention disclosures, 30.1 new patent apps, $4.2 mil income (1996)
*35% of respondents had reorganized TTO since 1990
*90% of universities allow faculty to establish and operate businesses based on technology owned by university but developed in faculty's research
*Inventions disclosed: 33% med schools, 29% engineering, 22% science, 6% agriculture, 10% other
*Majority of invention disclosures in nascent stage (proof of concept - 45% or prototype - 37%)
*Patents often applied for after knowing commercial viability, licensed technologies often not protected by patents
*60% of universities said small companies more likely to take early stage technologies and large companies more likely to take late stage - small firms may have advantage in "innovative" research (Holmstrom 1989)
*TTOs obtain smaller upfront fees the more uncertain the technology being licensed is
*Universities usually do not take equity in the license

Regression of licensing outcomes

[[File:LicensingOutcomeReg.png|500px]]

*Dependent variables: royalties, sponsored research, patents (new applications), licenses executed
*Independent variables: importance of outcome to TTO, types of inventions, measure of size of university's licensing operation/potential
*Logs of all variables except indicator variables
*Probit for frequency of sponsored research
*INVDIS: number of disclosures
*TTOSIZE: number of licensing individuals
*TTOEVAL_1 = 1: if TTOs that said licenses/patents are "not very important"
*TTOEVAL_2 = 1: if TTOs that said licenses/patents are "moderately important"
*PROOF: % of licensed disclosures that were "proof of concept but no prototype"
*PTYPE: "Prototype available but only lab scale"
*MEDSCHL: 1 if med school exists
*QUAL: academic quality of faculty (1993 NRC's survey results of academic quality of Ph.D. granting departments)
*LICENSES: number of licenses executed
*SPONRES: amount of sponsored research
*SPONFREQ: frequency that sponsored research is tied to license (according to TTO)
*patent apps grow 1-to-1 with disclosures
*sponsored research grows with licenses executed
*more licenses executed at universities with large TTOs and med schools
*higher royalties with higher quality of faculty and higher fraction of licenses executed at later stages of development
*additional disclosures generate smaller % increases in licenses, which generate smaller % increases in royalties (TTOs generally effective at tapping pool of available technologies in their universities)

===Thursby, J., Fuller, Thursby, M.: US Faculty Patenting: Inside and Outside the University (2009)===

[http://www.nber.org/papers/w13256.pdf]

@article{thursby2009us,
title = "US Faculty Patenting: Inside and Outside the University",
author = "Jerry G. Thursby, Anne W. Fuller, and Marie C. Thursby",
journal={Research Policy},
volume={38},
number={1},
pages={14--25},
year={2009},
publisher={Elsevier},
abstract = {This paper examines the empirical anomaly that in a sample of 5811 patents on which US faculty are listed as inventors, 26% of the patents are assigned solely to firms rather than to the faculty member's university as is dictated by US university employment policies or the Bayh Dole Act. In this paper we estimate a series of probability models of assignment as a function of patent characteristics, university policy, and inventor fields in order to examine the extent to which outside assignment is nefarious or comes from legitimate activities, such as consulting. Patents assigned to firms (whether established or start-ups with inventor as principal) are less basic than those assigned to universities suggesting these patents result from faculty consulting. A higher inventor share increases the likelihood of university assignment as compared with assignment to a firm in which the inventor is a principal but it has no effect on consulting with established firms versus assignment to the university. Faculty in the physical sciences and engineering are more likely to assign their patents to established firms than those in biological sciences.},
filename={Thursby et al (2009) - US Faculty Patenting},
}

*only 62.4% of patents by university faculty members of 87 universities were assigned solely to universities
*identifying US university patents by institutional assignment misses significant percentage of faculty innovation in US universities
*higher inventor share increases likelihood of university assignment compared with assignment to a firm where inventor is principal
*possibilities: faculty in low share universities may be more willing to seek outside remuneration via assignment to start-up where they are principal; revenue shares may not affect startup activity but simply reduce number of inventions disclosed to university

Sources
*Faculty names from NRC
*Compared with inventor names in NBER Patent Database
*Excluded faculty who do not patent

Patent/Inventor Pairs
*MIT: 315
*Wisconsin: 232
*Stanford: 223
*UC San Diego: 216
*UC Berkeley: 207

Out of 5811 patents:
*1513 assigned solely to firms
*241 assigned to both firms and universities
*327 unassigned
*faculty are principals in assignee firms for 32.3% of patents assigned solely to firms and 24% of patents assigned to both (lower bound)

=== Valdivia: University Start-ups: Critical for Improving Technology Transfer (2013) ===

[https://www.brookings.edu/wp-content/uploads/2016/06/Valdivia_Tech-Transfer_v29_No-Embargo.pdf]

*Current emphasis on licensing patents, but most university TTOs do not generate enough to cover operating expenses
*Asymmetry in distribution of resources across the university system, only a few universities benefit from high licensing revenues
**top 8 universities took 50% of licensing income, top 16 universities took nearly 75% of income
**only 37 universities have been in the top 20 during the last decade (listed in University Patents > LicensingGrossIncome2003-2012.txt)
*Universities face much more pressure to demonstrate the economic impact of their R&D contracts
**97.6% of total public contracts obtained by universities are for basic/applied research
**2% of university research delivers ready-to-use technologies
**academic research is much more dependent on government funding than industry research is
*Government pressure for universities to be more responsive to market forces, more entrepreneurial, more attuned to needs of industry
*TTOs are costly to universities
*1979: 30 universities with TTO -> 1999: 174 universities (AUTM)
*2010: 206 US universities have very high or high research activity, all with TTOs (but not all report to AUTM) (Carnegie Classification of Higher Education)
*Over last 20 years, 87% of universities did not break even
*Clash between aims of university (non-profit) and TTO (essentially a business unit)
*By nurturing start-ups, TTOs can add most economic value to an invention disclosure
*2003: universities initiated 330 startups, 2012: 647 startups
*2012: 3715 operating university startups, almost double the number in 2000 (AUTM 2013)
*Startups mitigate financial risk by reducing reliance on blockbuster patents, increase diversification of portfolio
*Policy proposal: the government should increase funding for Small Business Technology Transfer Program (directed to university start-ups)
**H.R.2981: reapportions STTR funds at 0.05% in the next 2 years and 0.1% henceforth for university enterprises at proof of concept stage
*Should increase portion that agencies set aside for STTR
**STTR should have Phase III like SBIR to fund commercialization efforts
*Need equitable distribution across university system

=== The Bayh-Dole Act and High-Technology Entrepreneurship in U.S. Universities: Chicken, Egg, or Something Else? (2004) ===

[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.484.1612&rep=rep1&type=pdf]

==== Findings ====

* University research has an unusually significant impact on industrial innovation in the biomedical sector
* " This work also suggests that academic research rarely produces “prototypes” of inventions for development
and commercialization by industry—instead, academic research informs the methods and disciplines
employed by firms in their R&D facilities."
* The U.S. higher education system is much larger and more heterogenous than other developed countries - this encourages competition
* The passage of the Bayh-Dole Act was one part of a broader shift in U.S. policy toward stronger
intellectual property rights
* "Universities increased their share of patenting from less than 0.3% in 1963 to nearly 4% by 1999, but the rate of growth in this share begins to accelerate before rather than after 1980."
* "the Act's provisions expressed Congressional support for the negotiation of exclusive licenses between universities and industrial firms for the results of federally funded research"
* licensing revenues account for only a miniscule portion of universities' overall academic budgets
* the acceleration in growth of patenting and licensing began before the passage of the Bayh-Dole Act so this acceleration cannot be wholly attributed to the Act
* "the flow of knowledge and technology between university and industrial research is a two-way flow," despite previous characterization as wholly from academia to industry
* patents seem to be "especially important channels for technology transfer" in the biomedical sector

==== Data Sources ====
* 5 different case studies
1. Cotransformation: a process to transfer genes into mammalian cells (Columbia University).

2. Gallium Nitride: a semiconductor with both military and commercial applications (University of California).

3. Xalatan: a glaucoma treatment (Columbia University).

4. Ames II Tests: a bacteria assay for testing potential carcinogenic properties of pharmaceuticals and cosmetics (University of California).

5. Soluble CD4: a prototype for a drug to fight AIDS (Columbia University).

==== Critiques ====
* focuses on case studies as source of data

===Dornbusch, Schmoch, Schulze, Bethke: Identification of University-Based Patents: A New Large-Scale Approach (2012)===

[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.722.1368&rep=rep1&type=pdf]

Specific for German case, but certain points can help us

European convergence to US model (Bayh-Dole seen as main driver behind growing patent portfolios of US universities)

*University-owned patents (assigned to universities or their TTOs) and university-invented patents (assigned to university-affiliated authors)

Matching lists: traditional matching of lists of university staff/professors with inventor data
*time-consuming, costly, possibly not updated
*typically limited to tenured professors
*does not include Ph.D. students, assistants, lecturers

Matched authors of scientific publications and inventors on patents
*beware of homonyms

Patent data from EPO Worldwide Patent Statistical Database (PATSTAT)

Publication data from Elsevier (Scopus)

Country of origin: Inventor Country/Assignee Country/Applicant Country = Germany, Location of Organization to which author is affiliated =Germany
*Restrict dataset to authors from German organizations and inventors with residence in Germany

The organization

Names: To keep precision high, leave out names with initials only

Location: Postal/zip codes (PATSTAT provides address of inventor's residence, SCOPUS provides info for organization, 96.5% of first digit of inventor and organization postal codes are the same, 85.9% first two digits)

Time window: 2-year window between application and publication date

=== Singh A. and Wong P.K: University patenting activities and their link to the quantity and quality of scientific publications (2009) ===

[https://pdfs.semanticscholar.org/bb3a/df09ca693cdcff6c1f6aaf18113cabec2655.pdf]
==== Findings ====
* patenting by 281 leading world universities has consistently grown faster than general American patenting from 1977 - 2000
* North American university patenting growth has slowed relative to universities outside North America since the mid-1990s
* Between 2003-2005, they found that university patenting output has significant correlation with the both the quality and quantity of scientific publishing in North America
* In European and Australian universities, patenting correlated only with the quantity of scientific publishing, not with the quality
* In universities Europe, Australia, and North America, patenting correlated only with the quality of scientific publishing

==== Data Sources ====
* USPTO Patenting Data
* Shanghai Jia Tong University's Academic Ranking of World Universities (ARWU)
* Times Higher Education Supplement's World University Ranking (WUR)
* Quantity was measured by counts of publications
* Quality was measured by citations to said publications
* the relationship between research and patenting was evaluated in two ways
** At the institutional level: patents assigned to universities
** At the individual level: patents with university researchers as the inventors

==== Critiques ====
* citations are not really a perfect measure of research quality and citations have little to do with practical use of the study (i.e. how much technological innovation is generated as a result of academic research publications)

==== Other Discoveries ====

* Study by Landry R., Amara N., and Saihi, M. (2006)
* (Owen Smith and Powell 2003) found that "organizations involved in technological commercialization tend to have higher publication rates than those who are not"
* (Lach and Schankerman 2003) found that "licensing revenues at the university level are positively influenced by publication citations per faculty"

University Patents

2017-02-24T20:53:31Z

Meghanapannala: /* LIKELY USE OF KEY WORDS: */

{{McNair Projects
|Project Title=University Patents,
|Topic Area=Patents and Innovation,
|Owner=Julia Wang,
|Keywords=Patent,
}}

==Project Overview==
Goal: list of all universities and # of patents each university and patent licensing

patent reassignment to startups associated with these universities

clinical trials (from Catherine) data to rank universities R&D engagement

identify list of universities: board of regents, universities in patent data (find patterns associated with university assignees) -- @Julia: Where did we get this list? I'd love to be able filter by country - Meghana

AUTM?

=== Key Words for finding Universities ===

==LIKELY USE OF KEY WORDS:==
BOARD OF REGENTS - pretty much exclusively describes Universities

UNIVERSITY - also exclusively describes Universities
*Can we do a close match with University? (its the only word on this list that's frequently misspelled)

SCHOOL - often used in combination with medicine or medical to describe medical schools

** also are used to describe actual schools (i.e. HISD) and other businesses
** sometimes present in addresses - can we cut off the adresses?
** also used in combination with Business (i.e. Harvard Business School)
** use school only in conjuction with medical, medicine, and business
COLLEGE
** need to cut off addresses for this to work
** need to ensure that we include the space after
** excl. College Boulevard, college blvd, etc.
** double check everything with College Park

INSTITUTE OF TECHNOLOGY - almost exclusively describes universities but sometimes describes external research institutes

POLYTECHNIC - exclusively university (i.e. RPI, Virginia Tech)

RESEARCH FOUNDATION: VAST majority are university
* Exclusions: it's really difficult to distinguish between university affiliated and not, besides just looking them up on the google
**Novartis
**Progeria
**Washington Research Foundation
**Blood Center of Wisconsins
**Mental Hygiene
**Celiac Sprue
**Fidia
**Samuel Waxman cancer center -
***founded by a faculty member at mt. sinai medical school,not affil w/a single university but researchers are also usually faculty at various universities
**lifenet
**HealthPartners
**Dr. Susan Love
**La Jolla Cancer Research Foundation
**children's hospital (? grants degrees but is a hospital system)
**medforte
**international mask
**palo alto medical foundation

==What to get from other people==

Avesh has clinical trial data on wiki and bulk drive (FDA Trials Data), need to build it into normal form, use clinical trials data to rank R&D engagement of universities, will be building up portfolios of different types of companies

Marcela is cleaning up patent data, has given patent assignee names -- got it! Could we filter by country and get strictly American names?

Catherine has zip codes of medical centers, use to look through patent data

==Wish List==

*List of university-affiliated startups
*data about TTOs (# and quality of employees)
*AUTM academic licensing data [www.autm.net/statt]

==Questions==
*How innovative are universities compared to publicly-traded firms, etc.? (firms: 100 active patents at any given time)
*How do universities license?
*What does the average portfolio look like for universities? (compared to publicly traded, VC-backed, etc)
*What can explain the differences in rankings? (size, quality of universities, TTOs and quality/experience of workers - searched LinkedIns, geography, entrepreneurship programs, NIH/NSF grants)

==To Do==

1. lit review (look at for 1-2 days), look for holistic picture, what has/hasn’t been done? what are the questions people are asking? (DONE)

2. look at patent data, determine how to find universities in patent database: board of regents, universities in patent data (find patterns associated with university assignees) (DONE)

==Lit Reviews==

===Thursby, J. & Thursby, M.: Who Is Selling the Ivory Tower? Sources of Growth in University Licensing (2002)===

[http://pubsonline.informs.org/doi/pdf/10.1287/mnsc.48.1.90.14271]

@article{thursby2002who,
title={Who Is Selling the Ivory Tower? Sources of Growth in University Licensing},
author={Thursby, Jerry G. and Thursby, Marie C.},
journal={Management Science},
volume={48},
number={1},
pages={90--104},
year={2002},
publisher={INFORMS},
filename={Thursby Thursby (2002) - Who Is Selling the Ivory Tower}
}

*Reliance of industry on university inventions has increased
**AUTM surveys show 7.1% growth in yearly inventions disclosure from 1994-1998 for 64 universities that responded every year
*Primary reason for more disclosures may be increased propensity for faculty to disclose, rather than change in research focus
*Universities becoming more receptive to industry contracts
*Negative total TFP growth of licenses executed (-1.7% annual growth) - growth in disclosures and patent applications greater than the corresponding growth in licenses executed.
**Marginal university innovation offered to the market has declined in commercial appeal
**Universities are delving more deeply into the available pool of innovations to increase commercial activities
*No evidence on the importance of learning by doing on the part of TTOs except to note negative association between TTO growth and TFP growth in licensing
**Suggests at least the possibility of learning by doing effects

'''Other literature'''

*On the role of patents and publications in the transfer process: Adams 1990, Henderson et al. 1998, and Jaffe et al. 1993
*On consulting, sponsored research or institutional ties: Cohen et al. 1998; Mansfield 1995; Zucker et al. 1994, 1998
*On the nature of university licensing: Jensen and Thursby 2001, Mowery et al. 2001a,b, Mowery et al. 2001, Siegel et al. 1999, Thursby et al. 2001, Thursby and Kemp 2001

===Thursby, J., Jensen, Thursby, M.: Objectives, Characteristics and Outcomes of University Licensing: A Survey of Major U.S. Universities (2001)===

[https://pdfs.semanticscholar.org/637f/048c05ee83eb84a914f69e087f52acea1b6c.pdf]

@article{thursby2001objectives,
title={Objectives, Characteristics and Outcomes of University Licensing: A Survey of Major U.S. Universities},
author={Thursby, Jerry G., Jensen, Richard, and Thursby, Marie C.},
journal={The Journal of Technology Transfer},
volume={26},
number={1},
pages={59--72},
year={2001},
publisher={Springer},
abstract={This paper describes results of our survey of licensing at 62 research universities. We consider ownership, income splits, stage of development, marketing, license policies and characteristics, goals of licensing and the role of the inventor in licensing. Based on these results we analyze the relationship between licensing outcomes and both the objectives of the TTO and the characteristics of the technologies. Patent applications grow one-to-one with disclosures, while sponsored research grows similarly with licenses executed. Royalties are typically larger the higher the quality of the faculty and the higher the fraction of licenses that are executed at latter stages of development. Sponsored research is more likely to be included in a license if the new technology is at an early stage of development or if the TTO evaluates it as important. We find that additional disclosures generate smaller percentage increases in licenses, and those increases in licenses generate smaller percentage increases in royalties.},
filename={Thursby et al (2001) - Objectives, Characteristics and Outcomes of University Licensing}
}

*University licensing has increased dramatically post-Bayh-Dole (1980)
**According to AUTM 1996, licenses executed increased 75% from 1991-1996, (total: 13,087)
*Survey of TTOs of 62 major US universities
**Majority of universities retain titles to inventions
**All universities split income with inventors
**Royalties generate most of the revenue of licensing

*Open question: Is the increased propensity of faculty to disclose a response to financial incentives or an increase in the effectiveness of TTOs in inducing disclosure?

Survey
*62/135 universities responded
*63% public, and 62% of public universities that responded were land-grant
*37% private
*average industry sponsored research $16.9 mil, federally sponsored $149.6 mil (1996)
*average TTO: 26.3 licenses executed, 92.3 invention disclosures, 30.1 new patent apps, $4.2 mil income (1996)
*35% of respondents had reorganized TTO since 1990
*90% of universities allow faculty to establish and operate businesses based on technology owned by university but developed in faculty's research
*Inventions disclosed: 33% med schools, 29% engineering, 22% science, 6% agriculture, 10% other
*Majority of invention disclosures in nascent stage (proof of concept - 45% or prototype - 37%)
*Patents often applied for after knowing commercial viability, licensed technologies often not protected by patents
*60% of universities said small companies more likely to take early stage technologies and large companies more likely to take late stage - small firms may have advantage in "innovative" research (Holmstrom 1989)
*TTOs obtain smaller upfront fees the more uncertain the technology being licensed is
*Universities usually do not take equity in the license

Regression of licensing outcomes

[[File:LicensingOutcomeReg.png|500px]]

*Dependent variables: royalties, sponsored research, patents (new applications), licenses executed
*Independent variables: importance of outcome to TTO, types of inventions, measure of size of university's licensing operation/potential
*Logs of all variables except indicator variables
*Probit for frequency of sponsored research
*INVDIS: number of disclosures
*TTOSIZE: number of licensing individuals
*TTOEVAL_1 = 1: if TTOs that said licenses/patents are "not very important"
*TTOEVAL_2 = 1: if TTOs that said licenses/patents are "moderately important"
*PROOF: % of licensed disclosures that were "proof of concept but no prototype"
*PTYPE: "Prototype available but only lab scale"
*MEDSCHL: 1 if med school exists
*QUAL: academic quality of faculty (1993 NRC's survey results of academic quality of Ph.D. granting departments)
*LICENSES: number of licenses executed
*SPONRES: amount of sponsored research
*SPONFREQ: frequency that sponsored research is tied to license (according to TTO)
*patent apps grow 1-to-1 with disclosures
*sponsored research grows with licenses executed
*more licenses executed at universities with large TTOs and med schools
*higher royalties with higher quality of faculty and higher fraction of licenses executed at later stages of development
*additional disclosures generate smaller % increases in licenses, which generate smaller % increases in royalties (TTOs generally effective at tapping pool of available technologies in their universities)

===Thursby, J., Fuller, Thursby, M.: US Faculty Patenting: Inside and Outside the University (2009)===

[http://www.nber.org/papers/w13256.pdf]

@article{thursby2009us,
title = "US Faculty Patenting: Inside and Outside the University",
author = "Jerry G. Thursby, Anne W. Fuller, and Marie C. Thursby",
journal={Research Policy},
volume={38},
number={1},
pages={14--25},
year={2009},
publisher={Elsevier},
abstract = {This paper examines the empirical anomaly that in a sample of 5811 patents on which US faculty are listed as inventors, 26% of the patents are assigned solely to firms rather than to the faculty member's university as is dictated by US university employment policies or the Bayh Dole Act. In this paper we estimate a series of probability models of assignment as a function of patent characteristics, university policy, and inventor fields in order to examine the extent to which outside assignment is nefarious or comes from legitimate activities, such as consulting. Patents assigned to firms (whether established or start-ups with inventor as principal) are less basic than those assigned to universities suggesting these patents result from faculty consulting. A higher inventor share increases the likelihood of university assignment as compared with assignment to a firm in which the inventor is a principal but it has no effect on consulting with established firms versus assignment to the university. Faculty in the physical sciences and engineering are more likely to assign their patents to established firms than those in biological sciences.},
filename={Thursby et al (2009) - US Faculty Patenting},
}

*only 62.4% of patents by university faculty members of 87 universities were assigned solely to universities
*identifying US university patents by institutional assignment misses significant percentage of faculty innovation in US universities
*higher inventor share increases likelihood of university assignment compared with assignment to a firm where inventor is principal
*possibilities: faculty in low share universities may be more willing to seek outside remuneration via assignment to start-up where they are principal; revenue shares may not affect startup activity but simply reduce number of inventions disclosed to university

Sources
*Faculty names from NRC
*Compared with inventor names in NBER Patent Database
*Excluded faculty who do not patent

Patent/Inventor Pairs
*MIT: 315
*Wisconsin: 232
*Stanford: 223
*UC San Diego: 216
*UC Berkeley: 207

Out of 5811 patents:
*1513 assigned solely to firms
*241 assigned to both firms and universities
*327 unassigned
*faculty are principals in assignee firms for 32.3% of patents assigned solely to firms and 24% of patents assigned to both (lower bound)

=== Valdivia: University Start-ups: Critical for Improving Technology Transfer (2013) ===

[https://www.brookings.edu/wp-content/uploads/2016/06/Valdivia_Tech-Transfer_v29_No-Embargo.pdf]

*Current emphasis on licensing patents, but most university TTOs do not generate enough to cover operating expenses
*Asymmetry in distribution of resources across the university system, only a few universities benefit from high licensing revenues
**top 8 universities took 50% of licensing income, top 16 universities took nearly 75% of income
**only 37 universities have been in the top 20 during the last decade (listed in University Patents > LicensingGrossIncome2003-2012.txt)
*Universities face much more pressure to demonstrate the economic impact of their R&D contracts
**97.6% of total public contracts obtained by universities are for basic/applied research
**2% of university research delivers ready-to-use technologies
**academic research is much more dependent on government funding than industry research is
*Government pressure for universities to be more responsive to market forces, more entrepreneurial, more attuned to needs of industry
*TTOs are costly to universities
*1979: 30 universities with TTO -> 1999: 174 universities (AUTM)
*2010: 206 US universities have very high or high research activity, all with TTOs (but not all report to AUTM) (Carnegie Classification of Higher Education)
*Over last 20 years, 87% of universities did not break even
*Clash between aims of university (non-profit) and TTO (essentially a business unit)
*By nurturing start-ups, TTOs can add most economic value to an invention disclosure
*2003: universities initiated 330 startups, 2012: 647 startups
*2012: 3715 operating university startups, almost double the number in 2000 (AUTM 2013)
*Startups mitigate financial risk by reducing reliance on blockbuster patents, increase diversification of portfolio
*Policy proposal: the government should increase funding for Small Business Technology Transfer Program (directed to university start-ups)
**H.R.2981: reapportions STTR funds at 0.05% in the next 2 years and 0.1% henceforth for university enterprises at proof of concept stage
*Should increase portion that agencies set aside for STTR
**STTR should have Phase III like SBIR to fund commercialization efforts
*Need equitable distribution across university system

=== The Bayh-Dole Act and High-Technology Entrepreneurship in U.S. Universities: Chicken, Egg, or Something Else? (2004) ===

[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.484.1612&rep=rep1&type=pdf]

==== Findings ====

* University research has an unusually significant impact on industrial innovation in the biomedical sector
* " This work also suggests that academic research rarely produces “prototypes” of inventions for development
and commercialization by industry—instead, academic research informs the methods and disciplines
employed by firms in their R&D facilities."
* The U.S. higher education system is much larger and more heterogenous than other developed countries - this encourages competition
* The passage of the Bayh-Dole Act was one part of a broader shift in U.S. policy toward stronger
intellectual property rights
* "Universities increased their share of patenting from less than 0.3% in 1963 to nearly 4% by 1999, but the rate of growth in this share begins to accelerate before rather than after 1980."
* "the Act's provisions expressed Congressional support for the negotiation of exclusive licenses between universities and industrial firms for the results of federally funded research"
* licensing revenues account for only a miniscule portion of universities' overall academic budgets
* the acceleration in growth of patenting and licensing began before the passage of the Bayh-Dole Act so this acceleration cannot be wholly attributed to the Act
* "the flow of knowledge and technology between university and industrial research is a two-way flow," despite previous characterization as wholly from academia to industry
* patents seem to be "especially important channels for technology transfer" in the biomedical sector

==== Data Sources ====
* 5 different case studies
1. Cotransformation: a process to transfer genes into mammalian cells (Columbia University).

2. Gallium Nitride: a semiconductor with both military and commercial applications (University of California).

3. Xalatan: a glaucoma treatment (Columbia University).

4. Ames II Tests: a bacteria assay for testing potential carcinogenic properties of pharmaceuticals and cosmetics (University of California).

5. Soluble CD4: a prototype for a drug to fight AIDS (Columbia University).

==== Critiques ====
* focuses on case studies as source of data

===Dornbusch, Schmoch, Schulze, Bethke: Identification of University-Based Patents: A New Large-Scale Approach (2012)===

[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.722.1368&rep=rep1&type=pdf]

Specific for German case, but certain points can help us

European convergence to US model (Bayh-Dole seen as main driver behind growing patent portfolios of US universities)

*University-owned patents (assigned to universities or their TTOs) and university-invented patents (assigned to university-affiliated authors)

Matching lists: traditional matching of lists of university staff/professors with inventor data
*time-consuming, costly, possibly not updated
*typically limited to tenured professors
*does not include Ph.D. students, assistants, lecturers

Matched authors of scientific publications and inventors on patents
*beware of homonyms

Patent data from EPO Worldwide Patent Statistical Database (PATSTAT)

Publication data from Elsevier (Scopus)

Country of origin: Inventor Country/Assignee Country/Applicant Country = Germany, Location of Organization to which author is affiliated =Germany
*Restrict dataset to authors from German organizations and inventors with residence in Germany

The organization

Names: To keep precision high, leave out names with initials only

Location: Postal/zip codes (PATSTAT provides address of inventor's residence, SCOPUS provides info for organization, 96.5% of first digit of inventor and organization postal codes are the same, 85.9% first two digits)

Time window: 2-year window between application and publication date

=== Singh A. and Wong P.K: University patenting activities and their link to the quantity and quality of scientific publications (2009) ===

[https://pdfs.semanticscholar.org/bb3a/df09ca693cdcff6c1f6aaf18113cabec2655.pdf]
==== Findings ====
* patenting by 281 leading world universities has consistently grown faster than general American patenting from 1977 - 2000
* North American university patenting growth has slowed relative to universities outside North America since the mid-1990s
* Between 2003-2005, they found that university patenting output has significant correlation with the both the quality and quantity of scientific publishing in North America
* In European and Australian universities, patenting correlated only with the quantity of scientific publishing, not with the quality
* In universities Europe, Australia, and North America, patenting correlated only with the quality of scientific publishing

==== Data Sources ====
* USPTO Patenting Data
* Shanghai Jia Tong University's Academic Ranking of World Universities (ARWU)
* Times Higher Education Supplement's World University Ranking (WUR)
* Quantity was measured by counts of publications
* Quality was measured by citations to said publications
* the relationship between research and patenting was evaluated in two ways
** At the institutional level: patents assigned to universities
** At the individual level: patents with university researchers as the inventors

==== Critiques ====
* citations are not really a perfect measure of research quality and citations have little to do with practical use of the study (i.e. how much technological innovation is generated as a result of academic research publications)

==== Other Discoveries ====

* Study by Landry R., Amara N., and Saihi, M. (2006)
* (Owen Smith and Powell 2003) found that "organizations involved in technological commercialization tend to have higher publication rates than those who are not"
* (Lach and Schankerman 2003) found that "licensing revenues at the university level are positively influenced by publication citations per faculty"

University Patents

2017-02-24T20:50:00Z

Meghanapannala: /* LIKELY USE OF KEY WORDS: */

{{McNair Projects
|Project Title=University Patents,
|Topic Area=Patents and Innovation,
|Owner=Julia Wang,
|Keywords=Patent,
}}

==Project Overview==
Goal: list of all universities and # of patents each university and patent licensing

patent reassignment to startups associated with these universities

clinical trials (from Catherine) data to rank universities R&D engagement

identify list of universities: board of regents, universities in patent data (find patterns associated with university assignees) -- @Julia: Where did we get this list? I'd love to be able filter by country - Meghana

AUTM?

=== Key Words for finding Universities ===

==LIKELY USE OF KEY WORDS:==
BOARD OF REGENTS - pretty much exclusively describes Universities

UNIVERSITY - also exclusively describes Universities
*Can we do a close match with University? (its the only word on this list that's frequently misspelled)

SCHOOL - often used in combination with medicine or medical to describe medical schools

** also are used to describe actual schools (i.e. HISD) and other businesses
** sometimes present in addresses - can we cut off the adresses?
** also used in combination with Business (i.e. Harvard Business School)
** use school only in conjuction with medical, medicine, and business
COLLEGE
** need to cut off addresses for this to work
** need to ensure that we include the space after
** excl. College Boulevard, college blvd, etc.
** double check everything with College Park

INSTITUTE OF TECHNOLOGY - almost exclusively describes universities but sometimes describes external research institutes

POLYTECHNIC - exclusively university (i.e. RPI, Virginia Tech)

==What to get from other people==

Avesh has clinical trial data on wiki and bulk drive (FDA Trials Data), need to build it into normal form, use clinical trials data to rank R&D engagement of universities, will be building up portfolios of different types of companies

Marcela is cleaning up patent data, has given patent assignee names -- got it! Could we filter by country and get strictly American names?

Catherine has zip codes of medical centers, use to look through patent data

==Wish List==

*List of university-affiliated startups
*data about TTOs (# and quality of employees)
*AUTM academic licensing data [www.autm.net/statt]

==Questions==
*How innovative are universities compared to publicly-traded firms, etc.? (firms: 100 active patents at any given time)
*How do universities license?
*What does the average portfolio look like for universities? (compared to publicly traded, VC-backed, etc)
*What can explain the differences in rankings? (size, quality of universities, TTOs and quality/experience of workers - searched LinkedIns, geography, entrepreneurship programs, NIH/NSF grants)

==To Do==

1. lit review (look at for 1-2 days), look for holistic picture, what has/hasn’t been done? what are the questions people are asking? (DONE)

2. look at patent data, determine how to find universities in patent database: board of regents, universities in patent data (find patterns associated with university assignees) (DONE)

==Lit Reviews==

===Thursby, J. & Thursby, M.: Who Is Selling the Ivory Tower? Sources of Growth in University Licensing (2002)===

[http://pubsonline.informs.org/doi/pdf/10.1287/mnsc.48.1.90.14271]

@article{thursby2002who,
title={Who Is Selling the Ivory Tower? Sources of Growth in University Licensing},
author={Thursby, Jerry G. and Thursby, Marie C.},
journal={Management Science},
volume={48},
number={1},
pages={90--104},
year={2002},
publisher={INFORMS},
filename={Thursby Thursby (2002) - Who Is Selling the Ivory Tower}
}

*Reliance of industry on university inventions has increased
**AUTM surveys show 7.1% growth in yearly inventions disclosure from 1994-1998 for 64 universities that responded every year
*Primary reason for more disclosures may be increased propensity for faculty to disclose, rather than change in research focus
*Universities becoming more receptive to industry contracts
*Negative total TFP growth of licenses executed (-1.7% annual growth) - growth in disclosures and patent applications greater than the corresponding growth in licenses executed.
**Marginal university innovation offered to the market has declined in commercial appeal
**Universities are delving more deeply into the available pool of innovations to increase commercial activities
*No evidence on the importance of learning by doing on the part of TTOs except to note negative association between TTO growth and TFP growth in licensing
**Suggests at least the possibility of learning by doing effects

'''Other literature'''

*On the role of patents and publications in the transfer process: Adams 1990, Henderson et al. 1998, and Jaffe et al. 1993
*On consulting, sponsored research or institutional ties: Cohen et al. 1998; Mansfield 1995; Zucker et al. 1994, 1998
*On the nature of university licensing: Jensen and Thursby 2001, Mowery et al. 2001a,b, Mowery et al. 2001, Siegel et al. 1999, Thursby et al. 2001, Thursby and Kemp 2001

===Thursby, J., Jensen, Thursby, M.: Objectives, Characteristics and Outcomes of University Licensing: A Survey of Major U.S. Universities (2001)===

[https://pdfs.semanticscholar.org/637f/048c05ee83eb84a914f69e087f52acea1b6c.pdf]

@article{thursby2001objectives,
title={Objectives, Characteristics and Outcomes of University Licensing: A Survey of Major U.S. Universities},
author={Thursby, Jerry G., Jensen, Richard, and Thursby, Marie C.},
journal={The Journal of Technology Transfer},
volume={26},
number={1},
pages={59--72},
year={2001},
publisher={Springer},
abstract={This paper describes results of our survey of licensing at 62 research universities. We consider ownership, income splits, stage of development, marketing, license policies and characteristics, goals of licensing and the role of the inventor in licensing. Based on these results we analyze the relationship between licensing outcomes and both the objectives of the TTO and the characteristics of the technologies. Patent applications grow one-to-one with disclosures, while sponsored research grows similarly with licenses executed. Royalties are typically larger the higher the quality of the faculty and the higher the fraction of licenses that are executed at latter stages of development. Sponsored research is more likely to be included in a license if the new technology is at an early stage of development or if the TTO evaluates it as important. We find that additional disclosures generate smaller percentage increases in licenses, and those increases in licenses generate smaller percentage increases in royalties.},
filename={Thursby et al (2001) - Objectives, Characteristics and Outcomes of University Licensing}
}

*University licensing has increased dramatically post-Bayh-Dole (1980)
**According to AUTM 1996, licenses executed increased 75% from 1991-1996, (total: 13,087)
*Survey of TTOs of 62 major US universities
**Majority of universities retain titles to inventions
**All universities split income with inventors
**Royalties generate most of the revenue of licensing

*Open question: Is the increased propensity of faculty to disclose a response to financial incentives or an increase in the effectiveness of TTOs in inducing disclosure?

Survey
*62/135 universities responded
*63% public, and 62% of public universities that responded were land-grant
*37% private
*average industry sponsored research $16.9 mil, federally sponsored $149.6 mil (1996)
*average TTO: 26.3 licenses executed, 92.3 invention disclosures, 30.1 new patent apps, $4.2 mil income (1996)
*35% of respondents had reorganized TTO since 1990
*90% of universities allow faculty to establish and operate businesses based on technology owned by university but developed in faculty's research
*Inventions disclosed: 33% med schools, 29% engineering, 22% science, 6% agriculture, 10% other
*Majority of invention disclosures in nascent stage (proof of concept - 45% or prototype - 37%)
*Patents often applied for after knowing commercial viability, licensed technologies often not protected by patents
*60% of universities said small companies more likely to take early stage technologies and large companies more likely to take late stage - small firms may have advantage in "innovative" research (Holmstrom 1989)
*TTOs obtain smaller upfront fees the more uncertain the technology being licensed is
*Universities usually do not take equity in the license

Regression of licensing outcomes

[[File:LicensingOutcomeReg.png|500px]]

*Dependent variables: royalties, sponsored research, patents (new applications), licenses executed
*Independent variables: importance of outcome to TTO, types of inventions, measure of size of university's licensing operation/potential
*Logs of all variables except indicator variables
*Probit for frequency of sponsored research
*INVDIS: number of disclosures
*TTOSIZE: number of licensing individuals
*TTOEVAL_1 = 1: if TTOs that said licenses/patents are "not very important"
*TTOEVAL_2 = 1: if TTOs that said licenses/patents are "moderately important"
*PROOF: % of licensed disclosures that were "proof of concept but no prototype"
*PTYPE: "Prototype available but only lab scale"
*MEDSCHL: 1 if med school exists
*QUAL: academic quality of faculty (1993 NRC's survey results of academic quality of Ph.D. granting departments)
*LICENSES: number of licenses executed
*SPONRES: amount of sponsored research
*SPONFREQ: frequency that sponsored research is tied to license (according to TTO)
*patent apps grow 1-to-1 with disclosures
*sponsored research grows with licenses executed
*more licenses executed at universities with large TTOs and med schools
*higher royalties with higher quality of faculty and higher fraction of licenses executed at later stages of development
*additional disclosures generate smaller % increases in licenses, which generate smaller % increases in royalties (TTOs generally effective at tapping pool of available technologies in their universities)

===Thursby, J., Fuller, Thursby, M.: US Faculty Patenting: Inside and Outside the University (2009)===

[http://www.nber.org/papers/w13256.pdf]

@article{thursby2009us,
title = "US Faculty Patenting: Inside and Outside the University",
author = "Jerry G. Thursby, Anne W. Fuller, and Marie C. Thursby",
journal={Research Policy},
volume={38},
number={1},
pages={14--25},
year={2009},
publisher={Elsevier},
abstract = {This paper examines the empirical anomaly that in a sample of 5811 patents on which US faculty are listed as inventors, 26% of the patents are assigned solely to firms rather than to the faculty member's university as is dictated by US university employment policies or the Bayh Dole Act. In this paper we estimate a series of probability models of assignment as a function of patent characteristics, university policy, and inventor fields in order to examine the extent to which outside assignment is nefarious or comes from legitimate activities, such as consulting. Patents assigned to firms (whether established or start-ups with inventor as principal) are less basic than those assigned to universities suggesting these patents result from faculty consulting. A higher inventor share increases the likelihood of university assignment as compared with assignment to a firm in which the inventor is a principal but it has no effect on consulting with established firms versus assignment to the university. Faculty in the physical sciences and engineering are more likely to assign their patents to established firms than those in biological sciences.},
filename={Thursby et al (2009) - US Faculty Patenting},
}

*only 62.4% of patents by university faculty members of 87 universities were assigned solely to universities
*identifying US university patents by institutional assignment misses significant percentage of faculty innovation in US universities
*higher inventor share increases likelihood of university assignment compared with assignment to a firm where inventor is principal
*possibilities: faculty in low share universities may be more willing to seek outside remuneration via assignment to start-up where they are principal; revenue shares may not affect startup activity but simply reduce number of inventions disclosed to university

Sources
*Faculty names from NRC
*Compared with inventor names in NBER Patent Database
*Excluded faculty who do not patent

Patent/Inventor Pairs
*MIT: 315
*Wisconsin: 232
*Stanford: 223
*UC San Diego: 216
*UC Berkeley: 207

Out of 5811 patents:
*1513 assigned solely to firms
*241 assigned to both firms and universities
*327 unassigned
*faculty are principals in assignee firms for 32.3% of patents assigned solely to firms and 24% of patents assigned to both (lower bound)

=== Valdivia: University Start-ups: Critical for Improving Technology Transfer (2013) ===

[https://www.brookings.edu/wp-content/uploads/2016/06/Valdivia_Tech-Transfer_v29_No-Embargo.pdf]

*Current emphasis on licensing patents, but most university TTOs do not generate enough to cover operating expenses
*Asymmetry in distribution of resources across the university system, only a few universities benefit from high licensing revenues
**top 8 universities took 50% of licensing income, top 16 universities took nearly 75% of income
**only 37 universities have been in the top 20 during the last decade (listed in University Patents > LicensingGrossIncome2003-2012.txt)
*Universities face much more pressure to demonstrate the economic impact of their R&D contracts
**97.6% of total public contracts obtained by universities are for basic/applied research
**2% of university research delivers ready-to-use technologies
**academic research is much more dependent on government funding than industry research is
*Government pressure for universities to be more responsive to market forces, more entrepreneurial, more attuned to needs of industry
*TTOs are costly to universities
*1979: 30 universities with TTO -> 1999: 174 universities (AUTM)
*2010: 206 US universities have very high or high research activity, all with TTOs (but not all report to AUTM) (Carnegie Classification of Higher Education)
*Over last 20 years, 87% of universities did not break even
*Clash between aims of university (non-profit) and TTO (essentially a business unit)
*By nurturing start-ups, TTOs can add most economic value to an invention disclosure
*2003: universities initiated 330 startups, 2012: 647 startups
*2012: 3715 operating university startups, almost double the number in 2000 (AUTM 2013)
*Startups mitigate financial risk by reducing reliance on blockbuster patents, increase diversification of portfolio
*Policy proposal: the government should increase funding for Small Business Technology Transfer Program (directed to university start-ups)
**H.R.2981: reapportions STTR funds at 0.05% in the next 2 years and 0.1% henceforth for university enterprises at proof of concept stage
*Should increase portion that agencies set aside for STTR
**STTR should have Phase III like SBIR to fund commercialization efforts
*Need equitable distribution across university system

=== The Bayh-Dole Act and High-Technology Entrepreneurship in U.S. Universities: Chicken, Egg, or Something Else? (2004) ===

[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.484.1612&rep=rep1&type=pdf]

==== Findings ====

* University research has an unusually significant impact on industrial innovation in the biomedical sector
* " This work also suggests that academic research rarely produces “prototypes” of inventions for development
and commercialization by industry—instead, academic research informs the methods and disciplines
employed by firms in their R&D facilities."
* The U.S. higher education system is much larger and more heterogenous than other developed countries - this encourages competition
* The passage of the Bayh-Dole Act was one part of a broader shift in U.S. policy toward stronger
intellectual property rights
* "Universities increased their share of patenting from less than 0.3% in 1963 to nearly 4% by 1999, but the rate of growth in this share begins to accelerate before rather than after 1980."
* "the Act's provisions expressed Congressional support for the negotiation of exclusive licenses between universities and industrial firms for the results of federally funded research"
* licensing revenues account for only a miniscule portion of universities' overall academic budgets
* the acceleration in growth of patenting and licensing began before the passage of the Bayh-Dole Act so this acceleration cannot be wholly attributed to the Act
* "the flow of knowledge and technology between university and industrial research is a two-way flow," despite previous characterization as wholly from academia to industry
* patents seem to be "especially important channels for technology transfer" in the biomedical sector

==== Data Sources ====
* 5 different case studies
1. Cotransformation: a process to transfer genes into mammalian cells (Columbia University).

2. Gallium Nitride: a semiconductor with both military and commercial applications (University of California).

3. Xalatan: a glaucoma treatment (Columbia University).

4. Ames II Tests: a bacteria assay for testing potential carcinogenic properties of pharmaceuticals and cosmetics (University of California).

5. Soluble CD4: a prototype for a drug to fight AIDS (Columbia University).

==== Critiques ====
* focuses on case studies as source of data

===Dornbusch, Schmoch, Schulze, Bethke: Identification of University-Based Patents: A New Large-Scale Approach (2012)===

[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.722.1368&rep=rep1&type=pdf]

Specific for German case, but certain points can help us

European convergence to US model (Bayh-Dole seen as main driver behind growing patent portfolios of US universities)

*University-owned patents (assigned to universities or their TTOs) and university-invented patents (assigned to university-affiliated authors)

Matching lists: traditional matching of lists of university staff/professors with inventor data
*time-consuming, costly, possibly not updated
*typically limited to tenured professors
*does not include Ph.D. students, assistants, lecturers

Matched authors of scientific publications and inventors on patents
*beware of homonyms

Patent data from EPO Worldwide Patent Statistical Database (PATSTAT)

Publication data from Elsevier (Scopus)

Country of origin: Inventor Country/Assignee Country/Applicant Country = Germany, Location of Organization to which author is affiliated =Germany
*Restrict dataset to authors from German organizations and inventors with residence in Germany

The organization

Names: To keep precision high, leave out names with initials only

Location: Postal/zip codes (PATSTAT provides address of inventor's residence, SCOPUS provides info for organization, 96.5% of first digit of inventor and organization postal codes are the same, 85.9% first two digits)

Time window: 2-year window between application and publication date

=== Singh A. and Wong P.K: University patenting activities and their link to the quantity and quality of scientific publications (2009) ===

[https://pdfs.semanticscholar.org/bb3a/df09ca693cdcff6c1f6aaf18113cabec2655.pdf]
==== Findings ====
* patenting by 281 leading world universities has consistently grown faster than general American patenting from 1977 - 2000
* North American university patenting growth has slowed relative to universities outside North America since the mid-1990s
* Between 2003-2005, they found that university patenting output has significant correlation with the both the quality and quantity of scientific publishing in North America
* In European and Australian universities, patenting correlated only with the quantity of scientific publishing, not with the quality
* In universities Europe, Australia, and North America, patenting correlated only with the quality of scientific publishing

==== Data Sources ====
* USPTO Patenting Data
* Shanghai Jia Tong University's Academic Ranking of World Universities (ARWU)
* Times Higher Education Supplement's World University Ranking (WUR)
* Quantity was measured by counts of publications
* Quality was measured by citations to said publications
* the relationship between research and patenting was evaluated in two ways
** At the institutional level: patents assigned to universities
** At the individual level: patents with university researchers as the inventors

==== Critiques ====
* citations are not really a perfect measure of research quality and citations have little to do with practical use of the study (i.e. how much technological innovation is generated as a result of academic research publications)

==== Other Discoveries ====

* Study by Landry R., Amara N., and Saihi, M. (2006)
* (Owen Smith and Powell 2003) found that "organizations involved in technological commercialization tend to have higher publication rates than those who are not"
* (Lach and Schankerman 2003) found that "licensing revenues at the university level are positively influenced by publication citations per faculty"

University Patents

2017-02-24T20:49:42Z

Meghanapannala: /* LIKELY USE OF KEY WORDS: */

{{McNair Projects
|Project Title=University Patents,
|Topic Area=Patents and Innovation,
|Owner=Julia Wang,
|Keywords=Patent,
}}

==Project Overview==
Goal: list of all universities and # of patents each university and patent licensing

patent reassignment to startups associated with these universities

clinical trials (from Catherine) data to rank universities R&D engagement

identify list of universities: board of regents, universities in patent data (find patterns associated with university assignees) -- @Julia: Where did we get this list? I'd love to be able filter by country - Meghana

AUTM?

=== Key Words for finding Universities ===

==LIKELY USE OF KEY WORDS:==
BOARD OF REGENTS - pretty much exclusively describes Universities

UNIVERSITY - also exclusively describes Universities
*Can we do a close match with University? (its the only word on this list that's frequently misspelled)

SCHOOL - often used in combination with medicine or medical to describe medical schools

** also are used to describe actual schools (i.e. HISD) and other businesses
** sometimes present in addresses - can we cut off the adresses?
** also used in combination with Business (i.e. Harvard Business School)
** use school only in conjuction with medical, medicine, and business
COLLEGE
** need to cut off addresses for this to work
** need to ensure that we include the space after
** excl. College Boulevard, college blvd, etc.
** double check everything with College Park

INSTITUTE OF TECHNOLOGY - almost exclusively describes universities but sometimes describes external research institutes

POLYTECHNIC - exclusively university (i.e. RPI, Virginia Tech)

==What to get from other people==

Avesh has clinical trial data on wiki and bulk drive (FDA Trials Data), need to build it into normal form, use clinical trials data to rank R&D engagement of universities, will be building up portfolios of different types of companies

Marcela is cleaning up patent data, has given patent assignee names -- got it! Could we filter by country and get strictly American names?

Catherine has zip codes of medical centers, use to look through patent data

==Wish List==

*List of university-affiliated startups
*data about TTOs (# and quality of employees)
*AUTM academic licensing data [www.autm.net/statt]

==Questions==
*How innovative are universities compared to publicly-traded firms, etc.? (firms: 100 active patents at any given time)
*How do universities license?
*What does the average portfolio look like for universities? (compared to publicly traded, VC-backed, etc)
*What can explain the differences in rankings? (size, quality of universities, TTOs and quality/experience of workers - searched LinkedIns, geography, entrepreneurship programs, NIH/NSF grants)

==To Do==

1. lit review (look at for 1-2 days), look for holistic picture, what has/hasn’t been done? what are the questions people are asking? (DONE)

2. look at patent data, determine how to find universities in patent database: board of regents, universities in patent data (find patterns associated with university assignees) (DONE)

==Lit Reviews==

===Thursby, J. & Thursby, M.: Who Is Selling the Ivory Tower? Sources of Growth in University Licensing (2002)===

[http://pubsonline.informs.org/doi/pdf/10.1287/mnsc.48.1.90.14271]

@article{thursby2002who,
title={Who Is Selling the Ivory Tower? Sources of Growth in University Licensing},
author={Thursby, Jerry G. and Thursby, Marie C.},
journal={Management Science},
volume={48},
number={1},
pages={90--104},
year={2002},
publisher={INFORMS},
filename={Thursby Thursby (2002) - Who Is Selling the Ivory Tower}
}

*Reliance of industry on university inventions has increased
**AUTM surveys show 7.1% growth in yearly inventions disclosure from 1994-1998 for 64 universities that responded every year
*Primary reason for more disclosures may be increased propensity for faculty to disclose, rather than change in research focus
*Universities becoming more receptive to industry contracts
*Negative total TFP growth of licenses executed (-1.7% annual growth) - growth in disclosures and patent applications greater than the corresponding growth in licenses executed.
**Marginal university innovation offered to the market has declined in commercial appeal
**Universities are delving more deeply into the available pool of innovations to increase commercial activities
*No evidence on the importance of learning by doing on the part of TTOs except to note negative association between TTO growth and TFP growth in licensing
**Suggests at least the possibility of learning by doing effects

'''Other literature'''

*On the role of patents and publications in the transfer process: Adams 1990, Henderson et al. 1998, and Jaffe et al. 1993
*On consulting, sponsored research or institutional ties: Cohen et al. 1998; Mansfield 1995; Zucker et al. 1994, 1998
*On the nature of university licensing: Jensen and Thursby 2001, Mowery et al. 2001a,b, Mowery et al. 2001, Siegel et al. 1999, Thursby et al. 2001, Thursby and Kemp 2001

===Thursby, J., Jensen, Thursby, M.: Objectives, Characteristics and Outcomes of University Licensing: A Survey of Major U.S. Universities (2001)===

[https://pdfs.semanticscholar.org/637f/048c05ee83eb84a914f69e087f52acea1b6c.pdf]

@article{thursby2001objectives,
title={Objectives, Characteristics and Outcomes of University Licensing: A Survey of Major U.S. Universities},
author={Thursby, Jerry G., Jensen, Richard, and Thursby, Marie C.},
journal={The Journal of Technology Transfer},
volume={26},
number={1},
pages={59--72},
year={2001},
publisher={Springer},
abstract={This paper describes results of our survey of licensing at 62 research universities. We consider ownership, income splits, stage of development, marketing, license policies and characteristics, goals of licensing and the role of the inventor in licensing. Based on these results we analyze the relationship between licensing outcomes and both the objectives of the TTO and the characteristics of the technologies. Patent applications grow one-to-one with disclosures, while sponsored research grows similarly with licenses executed. Royalties are typically larger the higher the quality of the faculty and the higher the fraction of licenses that are executed at latter stages of development. Sponsored research is more likely to be included in a license if the new technology is at an early stage of development or if the TTO evaluates it as important. We find that additional disclosures generate smaller percentage increases in licenses, and those increases in licenses generate smaller percentage increases in royalties.},
filename={Thursby et al (2001) - Objectives, Characteristics and Outcomes of University Licensing}
}

*University licensing has increased dramatically post-Bayh-Dole (1980)
**According to AUTM 1996, licenses executed increased 75% from 1991-1996, (total: 13,087)
*Survey of TTOs of 62 major US universities
**Majority of universities retain titles to inventions
**All universities split income with inventors
**Royalties generate most of the revenue of licensing

*Open question: Is the increased propensity of faculty to disclose a response to financial incentives or an increase in the effectiveness of TTOs in inducing disclosure?

Survey
*62/135 universities responded
*63% public, and 62% of public universities that responded were land-grant
*37% private
*average industry sponsored research $16.9 mil, federally sponsored $149.6 mil (1996)
*average TTO: 26.3 licenses executed, 92.3 invention disclosures, 30.1 new patent apps, $4.2 mil income (1996)
*35% of respondents had reorganized TTO since 1990
*90% of universities allow faculty to establish and operate businesses based on technology owned by university but developed in faculty's research
*Inventions disclosed: 33% med schools, 29% engineering, 22% science, 6% agriculture, 10% other
*Majority of invention disclosures in nascent stage (proof of concept - 45% or prototype - 37%)
*Patents often applied for after knowing commercial viability, licensed technologies often not protected by patents
*60% of universities said small companies more likely to take early stage technologies and large companies more likely to take late stage - small firms may have advantage in "innovative" research (Holmstrom 1989)
*TTOs obtain smaller upfront fees the more uncertain the technology being licensed is
*Universities usually do not take equity in the license

Regression of licensing outcomes

[[File:LicensingOutcomeReg.png|500px]]

*Dependent variables: royalties, sponsored research, patents (new applications), licenses executed
*Independent variables: importance of outcome to TTO, types of inventions, measure of size of university's licensing operation/potential
*Logs of all variables except indicator variables
*Probit for frequency of sponsored research
*INVDIS: number of disclosures
*TTOSIZE: number of licensing individuals
*TTOEVAL_1 = 1: if TTOs that said licenses/patents are "not very important"
*TTOEVAL_2 = 1: if TTOs that said licenses/patents are "moderately important"
*PROOF: % of licensed disclosures that were "proof of concept but no prototype"
*PTYPE: "Prototype available but only lab scale"
*MEDSCHL: 1 if med school exists
*QUAL: academic quality of faculty (1993 NRC's survey results of academic quality of Ph.D. granting departments)
*LICENSES: number of licenses executed
*SPONRES: amount of sponsored research
*SPONFREQ: frequency that sponsored research is tied to license (according to TTO)
*patent apps grow 1-to-1 with disclosures
*sponsored research grows with licenses executed
*more licenses executed at universities with large TTOs and med schools
*higher royalties with higher quality of faculty and higher fraction of licenses executed at later stages of development
*additional disclosures generate smaller % increases in licenses, which generate smaller % increases in royalties (TTOs generally effective at tapping pool of available technologies in their universities)

===Thursby, J., Fuller, Thursby, M.: US Faculty Patenting: Inside and Outside the University (2009)===

[http://www.nber.org/papers/w13256.pdf]

@article{thursby2009us,
title = "US Faculty Patenting: Inside and Outside the University",
author = "Jerry G. Thursby, Anne W. Fuller, and Marie C. Thursby",
journal={Research Policy},
volume={38},
number={1},
pages={14--25},
year={2009},
publisher={Elsevier},
abstract = {This paper examines the empirical anomaly that in a sample of 5811 patents on which US faculty are listed as inventors, 26% of the patents are assigned solely to firms rather than to the faculty member's university as is dictated by US university employment policies or the Bayh Dole Act. In this paper we estimate a series of probability models of assignment as a function of patent characteristics, university policy, and inventor fields in order to examine the extent to which outside assignment is nefarious or comes from legitimate activities, such as consulting. Patents assigned to firms (whether established or start-ups with inventor as principal) are less basic than those assigned to universities suggesting these patents result from faculty consulting. A higher inventor share increases the likelihood of university assignment as compared with assignment to a firm in which the inventor is a principal but it has no effect on consulting with established firms versus assignment to the university. Faculty in the physical sciences and engineering are more likely to assign their patents to established firms than those in biological sciences.},
filename={Thursby et al (2009) - US Faculty Patenting},
}

*only 62.4% of patents by university faculty members of 87 universities were assigned solely to universities
*identifying US university patents by institutional assignment misses significant percentage of faculty innovation in US universities
*higher inventor share increases likelihood of university assignment compared with assignment to a firm where inventor is principal
*possibilities: faculty in low share universities may be more willing to seek outside remuneration via assignment to start-up where they are principal; revenue shares may not affect startup activity but simply reduce number of inventions disclosed to university

Sources
*Faculty names from NRC
*Compared with inventor names in NBER Patent Database
*Excluded faculty who do not patent

Patent/Inventor Pairs
*MIT: 315
*Wisconsin: 232
*Stanford: 223
*UC San Diego: 216
*UC Berkeley: 207

Out of 5811 patents:
*1513 assigned solely to firms
*241 assigned to both firms and universities
*327 unassigned
*faculty are principals in assignee firms for 32.3% of patents assigned solely to firms and 24% of patents assigned to both (lower bound)

=== Valdivia: University Start-ups: Critical for Improving Technology Transfer (2013) ===

[https://www.brookings.edu/wp-content/uploads/2016/06/Valdivia_Tech-Transfer_v29_No-Embargo.pdf]

*Current emphasis on licensing patents, but most university TTOs do not generate enough to cover operating expenses
*Asymmetry in distribution of resources across the university system, only a few universities benefit from high licensing revenues
**top 8 universities took 50% of licensing income, top 16 universities took nearly 75% of income
**only 37 universities have been in the top 20 during the last decade (listed in University Patents > LicensingGrossIncome2003-2012.txt)
*Universities face much more pressure to demonstrate the economic impact of their R&D contracts
**97.6% of total public contracts obtained by universities are for basic/applied research
**2% of university research delivers ready-to-use technologies
**academic research is much more dependent on government funding than industry research is
*Government pressure for universities to be more responsive to market forces, more entrepreneurial, more attuned to needs of industry
*TTOs are costly to universities
*1979: 30 universities with TTO -> 1999: 174 universities (AUTM)
*2010: 206 US universities have very high or high research activity, all with TTOs (but not all report to AUTM) (Carnegie Classification of Higher Education)
*Over last 20 years, 87% of universities did not break even
*Clash between aims of university (non-profit) and TTO (essentially a business unit)
*By nurturing start-ups, TTOs can add most economic value to an invention disclosure
*2003: universities initiated 330 startups, 2012: 647 startups
*2012: 3715 operating university startups, almost double the number in 2000 (AUTM 2013)
*Startups mitigate financial risk by reducing reliance on blockbuster patents, increase diversification of portfolio
*Policy proposal: the government should increase funding for Small Business Technology Transfer Program (directed to university start-ups)
**H.R.2981: reapportions STTR funds at 0.05% in the next 2 years and 0.1% henceforth for university enterprises at proof of concept stage
*Should increase portion that agencies set aside for STTR
**STTR should have Phase III like SBIR to fund commercialization efforts
*Need equitable distribution across university system

=== The Bayh-Dole Act and High-Technology Entrepreneurship in U.S. Universities: Chicken, Egg, or Something Else? (2004) ===

[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.484.1612&rep=rep1&type=pdf]

==== Findings ====

* University research has an unusually significant impact on industrial innovation in the biomedical sector
* " This work also suggests that academic research rarely produces “prototypes” of inventions for development
and commercialization by industry—instead, academic research informs the methods and disciplines
employed by firms in their R&D facilities."
* The U.S. higher education system is much larger and more heterogenous than other developed countries - this encourages competition
* The passage of the Bayh-Dole Act was one part of a broader shift in U.S. policy toward stronger
intellectual property rights
* "Universities increased their share of patenting from less than 0.3% in 1963 to nearly 4% by 1999, but the rate of growth in this share begins to accelerate before rather than after 1980."
* "the Act's provisions expressed Congressional support for the negotiation of exclusive licenses between universities and industrial firms for the results of federally funded research"
* licensing revenues account for only a miniscule portion of universities' overall academic budgets
* the acceleration in growth of patenting and licensing began before the passage of the Bayh-Dole Act so this acceleration cannot be wholly attributed to the Act
* "the flow of knowledge and technology between university and industrial research is a two-way flow," despite previous characterization as wholly from academia to industry
* patents seem to be "especially important channels for technology transfer" in the biomedical sector

==== Data Sources ====
* 5 different case studies
1. Cotransformation: a process to transfer genes into mammalian cells (Columbia University).

2. Gallium Nitride: a semiconductor with both military and commercial applications (University of California).

3. Xalatan: a glaucoma treatment (Columbia University).

4. Ames II Tests: a bacteria assay for testing potential carcinogenic properties of pharmaceuticals and cosmetics (University of California).

5. Soluble CD4: a prototype for a drug to fight AIDS (Columbia University).

==== Critiques ====
* focuses on case studies as source of data

===Dornbusch, Schmoch, Schulze, Bethke: Identification of University-Based Patents: A New Large-Scale Approach (2012)===

[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.722.1368&rep=rep1&type=pdf]

Specific for German case, but certain points can help us

European convergence to US model (Bayh-Dole seen as main driver behind growing patent portfolios of US universities)

*University-owned patents (assigned to universities or their TTOs) and university-invented patents (assigned to university-affiliated authors)

Matching lists: traditional matching of lists of university staff/professors with inventor data
*time-consuming, costly, possibly not updated
*typically limited to tenured professors
*does not include Ph.D. students, assistants, lecturers

Matched authors of scientific publications and inventors on patents
*beware of homonyms

Patent data from EPO Worldwide Patent Statistical Database (PATSTAT)

Publication data from Elsevier (Scopus)

Country of origin: Inventor Country/Assignee Country/Applicant Country = Germany, Location of Organization to which author is affiliated =Germany
*Restrict dataset to authors from German organizations and inventors with residence in Germany

The organization

Names: To keep precision high, leave out names with initials only

Location: Postal/zip codes (PATSTAT provides address of inventor's residence, SCOPUS provides info for organization, 96.5% of first digit of inventor and organization postal codes are the same, 85.9% first two digits)

Time window: 2-year window between application and publication date

=== Singh A. and Wong P.K: University patenting activities and their link to the quantity and quality of scientific publications (2009) ===

[https://pdfs.semanticscholar.org/bb3a/df09ca693cdcff6c1f6aaf18113cabec2655.pdf]
==== Findings ====
* patenting by 281 leading world universities has consistently grown faster than general American patenting from 1977 - 2000
* North American university patenting growth has slowed relative to universities outside North America since the mid-1990s
* Between 2003-2005, they found that university patenting output has significant correlation with the both the quality and quantity of scientific publishing in North America
* In European and Australian universities, patenting correlated only with the quantity of scientific publishing, not with the quality
* In universities Europe, Australia, and North America, patenting correlated only with the quality of scientific publishing

==== Data Sources ====
* USPTO Patenting Data
* Shanghai Jia Tong University's Academic Ranking of World Universities (ARWU)
* Times Higher Education Supplement's World University Ranking (WUR)
* Quantity was measured by counts of publications
* Quality was measured by citations to said publications
* the relationship between research and patenting was evaluated in two ways
** At the institutional level: patents assigned to universities
** At the individual level: patents with university researchers as the inventors

==== Critiques ====
* citations are not really a perfect measure of research quality and citations have little to do with practical use of the study (i.e. how much technological innovation is generated as a result of academic research publications)

==== Other Discoveries ====

* Study by Landry R., Amara N., and Saihi, M. (2006)
* (Owen Smith and Powell 2003) found that "organizations involved in technological commercialization tend to have higher publication rates than those who are not"
* (Lach and Schankerman 2003) found that "licensing revenues at the university level are positively influenced by publication citations per faculty"

University Patents

2017-02-24T20:49:24Z

Meghanapannala: /* Key Words for finding Universities */

{{McNair Projects
|Project Title=University Patents,
|Topic Area=Patents and Innovation,
|Owner=Julia Wang,
|Keywords=Patent,
}}

==Project Overview==
Goal: list of all universities and # of patents each university and patent licensing

patent reassignment to startups associated with these universities

clinical trials (from Catherine) data to rank universities R&D engagement

identify list of universities: board of regents, universities in patent data (find patterns associated with university assignees) -- @Julia: Where did we get this list? I'd love to be able filter by country - Meghana

AUTM?

=== Key Words for finding Universities ===

==LIKELY USE OF KEY WORDS:==
BOARD OF REGENTS - pretty much exclusively describes Universities

UNIVERSITY - also exclusively describes Universities
*Can we do a close match with University? (its the only word on this list that's frequently misspelled)

SCHOOL - often used in combination with medicine or medical to describe medical schools
** also are used to describe actual schools (i.e. HISD) and other businesses
** sometimes present in addresses - can we cut off the adresses?
** also used in combination with Business (i.e. Harvard Business School)
** use school only in conjuction with medical, medicine, and business
COLLEGE
** need to cut off addresses for this to work
** need to ensure that we include the space after
** excl. College Boulevard, college blvd, etc.
** double check everything with College Park

INSTITUTE OF TECHNOLOGY - almost exclusively describes universities but sometimes describes external research institutes

POLYTECHNIC - exclusively university (i.e. RPI, Virginia Tech)

==What to get from other people==

Avesh has clinical trial data on wiki and bulk drive (FDA Trials Data), need to build it into normal form, use clinical trials data to rank R&D engagement of universities, will be building up portfolios of different types of companies

Marcela is cleaning up patent data, has given patent assignee names -- got it! Could we filter by country and get strictly American names?

Catherine has zip codes of medical centers, use to look through patent data

==Wish List==

*List of university-affiliated startups
*data about TTOs (# and quality of employees)
*AUTM academic licensing data [www.autm.net/statt]

==Questions==
*How innovative are universities compared to publicly-traded firms, etc.? (firms: 100 active patents at any given time)
*How do universities license?
*What does the average portfolio look like for universities? (compared to publicly traded, VC-backed, etc)
*What can explain the differences in rankings? (size, quality of universities, TTOs and quality/experience of workers - searched LinkedIns, geography, entrepreneurship programs, NIH/NSF grants)

==To Do==

1. lit review (look at for 1-2 days), look for holistic picture, what has/hasn’t been done? what are the questions people are asking? (DONE)

2. look at patent data, determine how to find universities in patent database: board of regents, universities in patent data (find patterns associated with university assignees) (DONE)

==Lit Reviews==

===Thursby, J. & Thursby, M.: Who Is Selling the Ivory Tower? Sources of Growth in University Licensing (2002)===

[http://pubsonline.informs.org/doi/pdf/10.1287/mnsc.48.1.90.14271]

@article{thursby2002who,
title={Who Is Selling the Ivory Tower? Sources of Growth in University Licensing},
author={Thursby, Jerry G. and Thursby, Marie C.},
journal={Management Science},
volume={48},
number={1},
pages={90--104},
year={2002},
publisher={INFORMS},
filename={Thursby Thursby (2002) - Who Is Selling the Ivory Tower}
}

*Reliance of industry on university inventions has increased
**AUTM surveys show 7.1% growth in yearly inventions disclosure from 1994-1998 for 64 universities that responded every year
*Primary reason for more disclosures may be increased propensity for faculty to disclose, rather than change in research focus
*Universities becoming more receptive to industry contracts
*Negative total TFP growth of licenses executed (-1.7% annual growth) - growth in disclosures and patent applications greater than the corresponding growth in licenses executed.
**Marginal university innovation offered to the market has declined in commercial appeal
**Universities are delving more deeply into the available pool of innovations to increase commercial activities
*No evidence on the importance of learning by doing on the part of TTOs except to note negative association between TTO growth and TFP growth in licensing
**Suggests at least the possibility of learning by doing effects

'''Other literature'''

*On the role of patents and publications in the transfer process: Adams 1990, Henderson et al. 1998, and Jaffe et al. 1993
*On consulting, sponsored research or institutional ties: Cohen et al. 1998; Mansfield 1995; Zucker et al. 1994, 1998
*On the nature of university licensing: Jensen and Thursby 2001, Mowery et al. 2001a,b, Mowery et al. 2001, Siegel et al. 1999, Thursby et al. 2001, Thursby and Kemp 2001

===Thursby, J., Jensen, Thursby, M.: Objectives, Characteristics and Outcomes of University Licensing: A Survey of Major U.S. Universities (2001)===

[https://pdfs.semanticscholar.org/637f/048c05ee83eb84a914f69e087f52acea1b6c.pdf]

@article{thursby2001objectives,
title={Objectives, Characteristics and Outcomes of University Licensing: A Survey of Major U.S. Universities},
author={Thursby, Jerry G., Jensen, Richard, and Thursby, Marie C.},
journal={The Journal of Technology Transfer},
volume={26},
number={1},
pages={59--72},
year={2001},
publisher={Springer},
abstract={This paper describes results of our survey of licensing at 62 research universities. We consider ownership, income splits, stage of development, marketing, license policies and characteristics, goals of licensing and the role of the inventor in licensing. Based on these results we analyze the relationship between licensing outcomes and both the objectives of the TTO and the characteristics of the technologies. Patent applications grow one-to-one with disclosures, while sponsored research grows similarly with licenses executed. Royalties are typically larger the higher the quality of the faculty and the higher the fraction of licenses that are executed at latter stages of development. Sponsored research is more likely to be included in a license if the new technology is at an early stage of development or if the TTO evaluates it as important. We find that additional disclosures generate smaller percentage increases in licenses, and those increases in licenses generate smaller percentage increases in royalties.},
filename={Thursby et al (2001) - Objectives, Characteristics and Outcomes of University Licensing}
}

*University licensing has increased dramatically post-Bayh-Dole (1980)
**According to AUTM 1996, licenses executed increased 75% from 1991-1996, (total: 13,087)
*Survey of TTOs of 62 major US universities
**Majority of universities retain titles to inventions
**All universities split income with inventors
**Royalties generate most of the revenue of licensing

*Open question: Is the increased propensity of faculty to disclose a response to financial incentives or an increase in the effectiveness of TTOs in inducing disclosure?

Survey
*62/135 universities responded
*63% public, and 62% of public universities that responded were land-grant
*37% private
*average industry sponsored research $16.9 mil, federally sponsored $149.6 mil (1996)
*average TTO: 26.3 licenses executed, 92.3 invention disclosures, 30.1 new patent apps, $4.2 mil income (1996)
*35% of respondents had reorganized TTO since 1990
*90% of universities allow faculty to establish and operate businesses based on technology owned by university but developed in faculty's research
*Inventions disclosed: 33% med schools, 29% engineering, 22% science, 6% agriculture, 10% other
*Majority of invention disclosures in nascent stage (proof of concept - 45% or prototype - 37%)
*Patents often applied for after knowing commercial viability, licensed technologies often not protected by patents
*60% of universities said small companies more likely to take early stage technologies and large companies more likely to take late stage - small firms may have advantage in "innovative" research (Holmstrom 1989)
*TTOs obtain smaller upfront fees the more uncertain the technology being licensed is
*Universities usually do not take equity in the license

Regression of licensing outcomes

[[File:LicensingOutcomeReg.png|500px]]

*Dependent variables: royalties, sponsored research, patents (new applications), licenses executed
*Independent variables: importance of outcome to TTO, types of inventions, measure of size of university's licensing operation/potential
*Logs of all variables except indicator variables
*Probit for frequency of sponsored research
*INVDIS: number of disclosures
*TTOSIZE: number of licensing individuals
*TTOEVAL_1 = 1: if TTOs that said licenses/patents are "not very important"
*TTOEVAL_2 = 1: if TTOs that said licenses/patents are "moderately important"
*PROOF: % of licensed disclosures that were "proof of concept but no prototype"
*PTYPE: "Prototype available but only lab scale"
*MEDSCHL: 1 if med school exists
*QUAL: academic quality of faculty (1993 NRC's survey results of academic quality of Ph.D. granting departments)
*LICENSES: number of licenses executed
*SPONRES: amount of sponsored research
*SPONFREQ: frequency that sponsored research is tied to license (according to TTO)
*patent apps grow 1-to-1 with disclosures
*sponsored research grows with licenses executed
*more licenses executed at universities with large TTOs and med schools
*higher royalties with higher quality of faculty and higher fraction of licenses executed at later stages of development
*additional disclosures generate smaller % increases in licenses, which generate smaller % increases in royalties (TTOs generally effective at tapping pool of available technologies in their universities)

===Thursby, J., Fuller, Thursby, M.: US Faculty Patenting: Inside and Outside the University (2009)===

[http://www.nber.org/papers/w13256.pdf]

@article{thursby2009us,
title = "US Faculty Patenting: Inside and Outside the University",
author = "Jerry G. Thursby, Anne W. Fuller, and Marie C. Thursby",
journal={Research Policy},
volume={38},
number={1},
pages={14--25},
year={2009},
publisher={Elsevier},
abstract = {This paper examines the empirical anomaly that in a sample of 5811 patents on which US faculty are listed as inventors, 26% of the patents are assigned solely to firms rather than to the faculty member's university as is dictated by US university employment policies or the Bayh Dole Act. In this paper we estimate a series of probability models of assignment as a function of patent characteristics, university policy, and inventor fields in order to examine the extent to which outside assignment is nefarious or comes from legitimate activities, such as consulting. Patents assigned to firms (whether established or start-ups with inventor as principal) are less basic than those assigned to universities suggesting these patents result from faculty consulting. A higher inventor share increases the likelihood of university assignment as compared with assignment to a firm in which the inventor is a principal but it has no effect on consulting with established firms versus assignment to the university. Faculty in the physical sciences and engineering are more likely to assign their patents to established firms than those in biological sciences.},
filename={Thursby et al (2009) - US Faculty Patenting},
}

*only 62.4% of patents by university faculty members of 87 universities were assigned solely to universities
*identifying US university patents by institutional assignment misses significant percentage of faculty innovation in US universities
*higher inventor share increases likelihood of university assignment compared with assignment to a firm where inventor is principal
*possibilities: faculty in low share universities may be more willing to seek outside remuneration via assignment to start-up where they are principal; revenue shares may not affect startup activity but simply reduce number of inventions disclosed to university

Sources
*Faculty names from NRC
*Compared with inventor names in NBER Patent Database
*Excluded faculty who do not patent

Patent/Inventor Pairs
*MIT: 315
*Wisconsin: 232
*Stanford: 223
*UC San Diego: 216
*UC Berkeley: 207

Out of 5811 patents:
*1513 assigned solely to firms
*241 assigned to both firms and universities
*327 unassigned
*faculty are principals in assignee firms for 32.3% of patents assigned solely to firms and 24% of patents assigned to both (lower bound)

=== Valdivia: University Start-ups: Critical for Improving Technology Transfer (2013) ===

[https://www.brookings.edu/wp-content/uploads/2016/06/Valdivia_Tech-Transfer_v29_No-Embargo.pdf]

*Current emphasis on licensing patents, but most university TTOs do not generate enough to cover operating expenses
*Asymmetry in distribution of resources across the university system, only a few universities benefit from high licensing revenues
**top 8 universities took 50% of licensing income, top 16 universities took nearly 75% of income
**only 37 universities have been in the top 20 during the last decade (listed in University Patents > LicensingGrossIncome2003-2012.txt)
*Universities face much more pressure to demonstrate the economic impact of their R&D contracts
**97.6% of total public contracts obtained by universities are for basic/applied research
**2% of university research delivers ready-to-use technologies
**academic research is much more dependent on government funding than industry research is
*Government pressure for universities to be more responsive to market forces, more entrepreneurial, more attuned to needs of industry
*TTOs are costly to universities
*1979: 30 universities with TTO -> 1999: 174 universities (AUTM)
*2010: 206 US universities have very high or high research activity, all with TTOs (but not all report to AUTM) (Carnegie Classification of Higher Education)
*Over last 20 years, 87% of universities did not break even
*Clash between aims of university (non-profit) and TTO (essentially a business unit)
*By nurturing start-ups, TTOs can add most economic value to an invention disclosure
*2003: universities initiated 330 startups, 2012: 647 startups
*2012: 3715 operating university startups, almost double the number in 2000 (AUTM 2013)
*Startups mitigate financial risk by reducing reliance on blockbuster patents, increase diversification of portfolio
*Policy proposal: the government should increase funding for Small Business Technology Transfer Program (directed to university start-ups)
**H.R.2981: reapportions STTR funds at 0.05% in the next 2 years and 0.1% henceforth for university enterprises at proof of concept stage
*Should increase portion that agencies set aside for STTR
**STTR should have Phase III like SBIR to fund commercialization efforts
*Need equitable distribution across university system

=== The Bayh-Dole Act and High-Technology Entrepreneurship in U.S. Universities: Chicken, Egg, or Something Else? (2004) ===

[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.484.1612&rep=rep1&type=pdf]

==== Findings ====

* University research has an unusually significant impact on industrial innovation in the biomedical sector
* " This work also suggests that academic research rarely produces “prototypes” of inventions for development
and commercialization by industry—instead, academic research informs the methods and disciplines
employed by firms in their R&D facilities."
* The U.S. higher education system is much larger and more heterogenous than other developed countries - this encourages competition
* The passage of the Bayh-Dole Act was one part of a broader shift in U.S. policy toward stronger
intellectual property rights
* "Universities increased their share of patenting from less than 0.3% in 1963 to nearly 4% by 1999, but the rate of growth in this share begins to accelerate before rather than after 1980."
* "the Act's provisions expressed Congressional support for the negotiation of exclusive licenses between universities and industrial firms for the results of federally funded research"
* licensing revenues account for only a miniscule portion of universities' overall academic budgets
* the acceleration in growth of patenting and licensing began before the passage of the Bayh-Dole Act so this acceleration cannot be wholly attributed to the Act
* "the flow of knowledge and technology between university and industrial research is a two-way flow," despite previous characterization as wholly from academia to industry
* patents seem to be "especially important channels for technology transfer" in the biomedical sector

==== Data Sources ====
* 5 different case studies
1. Cotransformation: a process to transfer genes into mammalian cells (Columbia University).

2. Gallium Nitride: a semiconductor with both military and commercial applications (University of California).

3. Xalatan: a glaucoma treatment (Columbia University).

4. Ames II Tests: a bacteria assay for testing potential carcinogenic properties of pharmaceuticals and cosmetics (University of California).

5. Soluble CD4: a prototype for a drug to fight AIDS (Columbia University).

==== Critiques ====
* focuses on case studies as source of data

===Dornbusch, Schmoch, Schulze, Bethke: Identification of University-Based Patents: A New Large-Scale Approach (2012)===

[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.722.1368&rep=rep1&type=pdf]

Specific for German case, but certain points can help us

European convergence to US model (Bayh-Dole seen as main driver behind growing patent portfolios of US universities)

*University-owned patents (assigned to universities or their TTOs) and university-invented patents (assigned to university-affiliated authors)

Matching lists: traditional matching of lists of university staff/professors with inventor data
*time-consuming, costly, possibly not updated
*typically limited to tenured professors
*does not include Ph.D. students, assistants, lecturers

Matched authors of scientific publications and inventors on patents
*beware of homonyms

Patent data from EPO Worldwide Patent Statistical Database (PATSTAT)

Publication data from Elsevier (Scopus)

Country of origin: Inventor Country/Assignee Country/Applicant Country = Germany, Location of Organization to which author is affiliated =Germany
*Restrict dataset to authors from German organizations and inventors with residence in Germany

The organization

Names: To keep precision high, leave out names with initials only

Location: Postal/zip codes (PATSTAT provides address of inventor's residence, SCOPUS provides info for organization, 96.5% of first digit of inventor and organization postal codes are the same, 85.9% first two digits)

Time window: 2-year window between application and publication date

=== Singh A. and Wong P.K: University patenting activities and their link to the quantity and quality of scientific publications (2009) ===

[https://pdfs.semanticscholar.org/bb3a/df09ca693cdcff6c1f6aaf18113cabec2655.pdf]
==== Findings ====
* patenting by 281 leading world universities has consistently grown faster than general American patenting from 1977 - 2000
* North American university patenting growth has slowed relative to universities outside North America since the mid-1990s
* Between 2003-2005, they found that university patenting output has significant correlation with the both the quality and quantity of scientific publishing in North America
* In European and Australian universities, patenting correlated only with the quantity of scientific publishing, not with the quality
* In universities Europe, Australia, and North America, patenting correlated only with the quality of scientific publishing

==== Data Sources ====
* USPTO Patenting Data
* Shanghai Jia Tong University's Academic Ranking of World Universities (ARWU)
* Times Higher Education Supplement's World University Ranking (WUR)
* Quantity was measured by counts of publications
* Quality was measured by citations to said publications
* the relationship between research and patenting was evaluated in two ways
** At the institutional level: patents assigned to universities
** At the individual level: patents with university researchers as the inventors

==== Critiques ====
* citations are not really a perfect measure of research quality and citations have little to do with practical use of the study (i.e. how much technological innovation is generated as a result of academic research publications)

==== Other Discoveries ====

* Study by Landry R., Amara N., and Saihi, M. (2006)
* (Owen Smith and Powell 2003) found that "organizations involved in technological commercialization tend to have higher publication rates than those who are not"
* (Lach and Schankerman 2003) found that "licensing revenues at the university level are positively influenced by publication citations per faculty"

Meghana Pannala (Work Log)

2017-02-24T16:44:32Z

Meghanapannala:

Meghana Pannala (Work Log)

2017-02-22T17:57:19Z

Meghanapannala:

University Patents

2017-02-22T17:56:20Z

Meghanapannala: /* Key Words for finding Universities */

{{McNair Projects
|Project Title=University Patents,
|Topic Area=Patents and Innovation,
|Owner=Julia Wang,
|Keywords=Patent,
}}

==Project Overview==
Goal: list of all universities and # of patents each university and patent licensing

patent reassignment to startups associated with these universities

clinical trials (from Catherine) data to rank universities R&D engagement

identify list of universities: board of regents, universities in patent data (find patterns associated with university assignees) -- @Julia: Where did we get this list? I'd love to be able filter by country - Meghana

AUTM?

=== Key Words for finding Universities ===

BOARD OF REGENTS - pretty much exclusively describes Universities

UNIVERSITY - also exclusively describes Universities

UNIVERITY (common misspelling)

SCHOOL - often used in combination with medicine or medical to describe medical schools
** also are used to describe actual schools (i.e. HISD) and other businesses
** sometimes present in addresses - can we cut off the adresses?
** also used in combination with Business (i.e. Harvard Business School)
** use school only in conjuction with medical, medicine, and business

COLLEGE - need to cut off addresses for this to work

INSTITUTE OF TECHNOLOGY - almost exclusively describes universities but sometimes describes external research institutes

How do we feel about affiliated, non-degree granting research institutes?

==What to get from other people==

Avesh has clinical trial data on wiki and bulk drive (FDA Trials Data), need to build it into normal form, use clinical trials data to rank R&D engagement of universities, will be building up portfolios of different types of companies

Marcela is cleaning up patent data, has given patent assignee names -- got it! Could we filter by country and get strictly American names?

Catherine has zip codes of medical centers, use to look through patent data

==Wish List==

*List of university-affiliated startups
*data about TTOs (# and quality of employees)

==Questions==
*How innovative are universities compared to publicly-traded firms, etc.? (firms: 100 active patents at any given time)
*How do universities license?
*What does the average portfolio look like for universities? (compared to publicly traded, VC-backed, etc)
*What can explain the differences in rankings? (size, quality of universities, TTOs and quality/experience of workers - searched LinkedIns, geography, entrepreneurship programs, NIH/NSF grants)

==To Do==

1. lit review (look at for 1-2 days), look for holistic picture, what has/hasn’t been done? what are the questions people are asking?

2. look at patent data, determine how to find universities in patent database: board of regents, universities in patent data (find patterns associated with university assignees)

==Lit Reviews==

===Thursby, J. & Thursby, M.: Who Is Selling the Ivory Tower? Sources of Growth in University Licensing (2002)===

[http://pubsonline.informs.org/doi/pdf/10.1287/mnsc.48.1.90.14271]

@article{thursby2002who,
title={Who Is Selling the Ivory Tower? Sources of Growth in University Licensing},
author={Thursby, Jerry G. and Thursby, Marie C.},
journal={Management Science},
volume={48},
number={1},
pages={90--104},
year={2002},
publisher={INFORMS},
filename={Thursby Thursby (2002) - Who Is Selling the Ivory Tower}
}

*Reliance of industry on university inventions has increased
**AUTM surveys show 7.1% growth in yearly inventions disclosure from 1994-1998 for 64 universities that responded every year
*Primary reason for more disclosures may be increased propensity for faculty to disclose, rather than change in research focus
*Universities becoming more receptive to industry contracts
*Negative total TFP growth of licenses executed (-1.7% annual growth) - growth in disclosures and patent applications greater than the corresponding growth in licenses executed.
**Marginal university innovation offered to the market has declined in commercial appeal
**Universities are delving more deeply into the available pool of innovations to increase commercial activities
*No evidence on the importance of learning by doing on the part of TTOs except to note negative association between TTO growth and TFP growth in licensing
**Suggests at least the possibility of learning by doing effects

'''Other literature'''

*On the role of patents and publications in the transfer process: Adams 1990, Henderson et al. 1998, and Jaffe et al. 1993
*On consulting, sponsored research or institutional ties: Cohen et al. 1998; Mansfield 1995; Zucker et al. 1994, 1998
*On the nature of university licensing: Jensen and Thursby 2001, Mowery et al. 2001a,b, Mowery et al. 2001, Siegel et al. 1999, Thursby et al. 2001, Thursby and Kemp 2001

===Thursby, J., Jensen, Thursby, M.: Objectives, Characteristics and Outcomes of University Licensing: A Survey of Major U.S. Universities (2001)===

[https://pdfs.semanticscholar.org/637f/048c05ee83eb84a914f69e087f52acea1b6c.pdf]

@article{thursby2001objectives,
title={Objectives, Characteristics and Outcomes of University Licensing: A Survey of Major U.S. Universities},
author={Thursby, Jerry G., Jensen, Richard, and Thursby, Marie C.},
journal={The Journal of Technology Transfer},
volume={26},
number={1},
pages={59--72},
year={2001},
publisher={Springer},
abstract={This paper describes results of our survey of licensing at 62 research universities. We consider ownership, income splits, stage of development, marketing, license policies and characteristics, goals of licensing and the role of the inventor in licensing. Based on these results we analyze the relationship between licensing outcomes and both the objectives of the TTO and the characteristics of the technologies. Patent applications grow one-to-one with disclosures, while sponsored research grows similarly with licenses executed. Royalties are typically larger the higher the quality of the faculty and the higher the fraction of licenses that are executed at latter stages of development. Sponsored research is more likely to be included in a license if the new technology is at an early stage of development or if the TTO evaluates it as important. We find that additional disclosures generate smaller percentage increases in licenses, and those increases in licenses generate smaller percentage increases in royalties.},
filename={Thursby et al (2001) - Objectives, Characteristics and Outcomes of University Licensing}
}

*University licensing has increased dramatically post-Bayh-Dole (1980)
**According to AUTM 1996, licenses executed increased 75% from 1991-1996, (total: 13,087)
*Survey of TTOs of 62 major US universities
**Majority of universities retain titles to inventions
**All universities split income with inventors
**Royalties generate most of the revenue of licensing

*Open question: Is the increased propensity of faculty to disclose a response to financial incentives or an increase in the effectiveness of TTOs in inducing disclosure?

Survey
*62/135 universities responded
*63% public, and 62% of public universities that responded were land-grant
*37% private
*average industry sponsored research $16.9 mil, federally sponsored $149.6 mil (1996)
*average TTO: 26.3 licenses executed, 92.3 invention disclosures, 30.1 new patent apps, $4.2 mil income (1996)
*35% of respondents had reorganized TTO since 1990
*90% of universities allow faculty to establish and operate businesses based on technology owned by university but developed in faculty's research
*Inventions disclosed: 33% med schools, 29% engineering, 22% science, 6% agriculture, 10% other
*Majority of invention disclosures in nascent stage (proof of concept - 45% or prototype - 37%)
*Patents often applied for after knowing commercial viability, licensed technologies often not protected by patents
*60% of universities said small companies more likely to take early stage technologies and large companies more likely to take late stage - small firms may have advantage in "innovative" research (Holmstrom 1989)
*TTOs obtain smaller upfront fees the more uncertain the technology being licensed is
*Universities usually do not take equity in the license

Regression of licensing outcomes

[[File:LicensingOutcomeReg.png|500px]]

*Dependent variables: royalties, sponsored research, patents (new applications), licenses executed
*Independent variables: importance of outcome to TTO, types of inventions, measure of size of university's licensing operation/potential
*Logs of all variables except indicator variables
*Probit for frequency of sponsored research
*INVDIS: number of disclosures
*TTOSIZE: number of licensing individuals
*TTOEVAL_1 = 1: if TTOs that said licenses/patents are "not very important"
*TTOEVAL_2 = 1: if TTOs that said licenses/patents are "moderately important"
*PROOF: % of licensed disclosures that were "proof of concept but no prototype"
*PTYPE: "Prototype available but only lab scale"
*MEDSCHL: 1 if med school exists
*QUAL: academic quality of faculty (1993 NRC's survey results of academic quality of Ph.D. granting departments)
*LICENSES: number of licenses executed
*SPONRES: amount of sponsored research
*SPONFREQ: frequency that sponsored research is tied to license (according to TTO)
*patent apps grow 1-to-1 with disclosures
*sponsored research grows with licenses executed
*more licenses executed at universities with large TTOs and med schools
*higher royalties with higher quality of faculty and higher fraction of licenses executed at later stages of development
*additional disclosures generate smaller % increases in licenses, which generate smaller % increases in royalties (TTOs generally effective at tapping pool of available technologies in their universities)

===Thursby, J., Fuller, Thursby, M.: US Faculty Patenting: Inside and Outside the University (2009)===

[http://www.nber.org/papers/w13256.pdf]

@article{thursby2009us,
title = "US Faculty Patenting: Inside and Outside the University",
author = "Jerry G. Thursby, Anne W. Fuller, and Marie C. Thursby",
journal={Research Policy},
volume={38},
number={1},
pages={14--25},
year={2009},
publisher={Elsevier},
abstract = {This paper examines the empirical anomaly that in a sample of 5811 patents on which US faculty are listed as inventors, 26% of the patents are assigned solely to firms rather than to the faculty member's university as is dictated by US university employment policies or the Bayh Dole Act. In this paper we estimate a series of probability models of assignment as a function of patent characteristics, university policy, and inventor fields in order to examine the extent to which outside assignment is nefarious or comes from legitimate activities, such as consulting. Patents assigned to firms (whether established or start-ups with inventor as principal) are less basic than those assigned to universities suggesting these patents result from faculty consulting. A higher inventor share increases the likelihood of university assignment as compared with assignment to a firm in which the inventor is a principal but it has no effect on consulting with established firms versus assignment to the university. Faculty in the physical sciences and engineering are more likely to assign their patents to established firms than those in biological sciences.},
filename={Thursby et al (2009) - US Faculty Patenting},
}

*only 62.4% of patents by university faculty members of 87 universities were assigned solely to universities
*identifying US university patents by institutional assignment misses significant percentage of faculty innovation in US universities
*higher inventor share increases likelihood of university assignment compared with assignment to a firm where inventor is principal
*possibilities: faculty in low share universities may be more willing to seek outside remuneration via assignment to start-up where they are principal; revenue shares may not affect startup activity but simply reduce number of inventions disclosed to university

Sources
*Faculty names from NRC
*Compared with inventor names in NBER Patent Database
*Excluded faculty who do not patent

Patent/Inventor Pairs
*MIT: 315
*Wisconsin: 232
*Stanford: 223
*UC San Diego: 216
*UC Berkeley: 207

Out of 5811 patents:
*1513 assigned solely to firms
*241 assigned to both firms and universities
*327 unassigned
*faculty are principals in assignee firms for 32.3% of patents assigned solely to firms and 24% of patents assigned to both (lower bound)

=== Valdivia: University Start-ups: Critical for Improving Technology Transfer (2013) ===

[https://www.brookings.edu/wp-content/uploads/2016/06/Valdivia_Tech-Transfer_v29_No-Embargo.pdf]

*Current emphasis on licensing patents, but most university TTOs do not generate enough to cover operating expenses
*Asymmetry in distribution of resources across the university system, only a few universities benefit from high licensing revenues
**top 8 universities took 50% of licensing income, top 16 universities took nearly 75% of income
**only 37 universities have been in the top 20 during the last decade (listed in University Patents > LicensingGrossIncome2003-2012.txt)
*Universities face much more pressure to demonstrate the economic impact of their R&D contracts
**97.6% of total public contracts obtained by universities are for basic/applied research
**2% of university research delivers ready-to-use technologies
**academic research is much more dependent on government funding than industry research is
*Government pressure for universities to be more responsive to market forces, more entrepreneurial, more attuned to needs of industry
*TTOs are costly to universities
*1979: 30 universities with TTO -> 1999: 174 universities (AUTM)
*2010: 206 US universities have very high or high research activity, all with TTOs (but not all report to AUTM) (Carnegie Classification of Higher Education)
*Over last 20 years, 87% of universities did not break even
*Clash between aims of university (non-profit) and TTO (essentially a business unit)
*By nurturing start-ups, TTOs can add most economic value to an invention disclosure
*2003: universities initiated 330 startups, 2012: 647 startups
*2012: 3715 operating university startups, almost double the number in 2000 (AUTM 2013)
*Startups mitigate financial risk by reducing reliance on blockbuster patents, increase diversification of portfolio
*Policy proposal: the government should increase funding for Small Business Technology Transfer Program (directed to university start-ups)
**H.R.2981: reapportions STTR funds at 0.05% in the next 2 years and 0.1% henceforth for university enterprises at proof of concept stage
*Should increase portion that agencies set aside for STTR
**STTR should have Phase III like SBIR to fund commercialization efforts
*Need equitable distribution across university system

=== The Bayh-Dole Act and High-Technology Entrepreneurship in U.S. Universities: Chicken, Egg, or Something Else? (2004) ===

[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.484.1612&rep=rep1&type=pdf]

==== Findings ====

* University research has an unusually significant impact on industrial innovation in the biomedical sector
* " This work also suggests that academic research rarely produces “prototypes” of inventions for development
and commercialization by industry—instead, academic research informs the methods and disciplines
employed by firms in their R&D facilities."
* The U.S. higher education system is much larger and more heterogenous than other developed countries - this encourages competition
* The passage of the Bayh-Dole Act was one part of a broader shift in U.S. policy toward stronger
intellectual property rights
* "Universities increased their share of patenting from less than 0.3% in 1963 to nearly 4% by 1999, but the rate of growth in this share begins to accelerate before rather than after 1980."
* "the Act's provisions expressed Congressional support for the negotiation of exclusive licenses between universities and industrial firms for the results of federally funded research"
* licensing revenues account for only a miniscule portion of universities' overall academic budgets
* the acceleration in growth of patenting and licensing began before the passage of the Bayh-Dole Act so this acceleration cannot be wholly attributed to the Act
* "the flow of knowledge and technology between university and industrial research is a two-way flow," despite previous characterization as wholly from academia to industry
* patents seem to be "especially important channels for technology transfer" in the biomedical sector

==== Data Sources ====
* 5 different case studies
1. Cotransformation: a process to transfer genes into mammalian cells (Columbia University).

2. Gallium Nitride: a semiconductor with both military and commercial applications (University of California).

3. Xalatan: a glaucoma treatment (Columbia University).

4. Ames II Tests: a bacteria assay for testing potential carcinogenic properties of pharmaceuticals and cosmetics (University of California).

5. Soluble CD4: a prototype for a drug to fight AIDS (Columbia University).

==== Critiques ====
* focuses on case studies as source of data

===Dornbusch, Schmoch, Schulze, Bethke: Identification of University-Based Patents: A New Large-Scale Approach (2012)===

[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.722.1368&rep=rep1&type=pdf]

Specific for German case, but certain points can help us

European convergence to US model (Bayh-Dole seen as main driver behind growing patent portfolios of US universities)

*University-owned patents (assigned to universities or their TTOs) and university-invented patents (assigned to university-affiliated authors)

*matching lists: matching lists of university staff/professors with inventor data
**time-consuming, costly, possibly not updated
**typically limited to tenured professors
**does not include Ph.D. students, assistants, lecturers
*matching authors of scientific publications and inventors on patents
**beware of homonyms

=== Singh A. and Wong P.K: University patenting activities and their link to the quantity and quality of scientific publications (2009) ===

[https://pdfs.semanticscholar.org/bb3a/df09ca693cdcff6c1f6aaf18113cabec2655.pdf]
==== Findings ====
* patenting by 281 leading world universities has consistently grown faster than general American patenting from 1977 - 2000
* North American university patenting growth has slowed relative to universities outside North America since the mid-1990s
* Between 2003-2005, they found that university patenting output has significant correlation with the both the quality and quantity of scientific publishing in North America
* In European and Australian universities, patenting correlated only with the quantity of scientific publishing, not with the quality
* In universities Europe, Australia, and North America, patenting correlated only with the quality of scientific publishing

==== Data Sources ====
* USPTO Patenting Data
* Shanghai Jia Tong University's Academic Ranking of World Universities (ARWU)
* Times Higher Education Supplement's World University Ranking (WUR)
* Quantity was measured by counts of publications
* Quality was measured by citations to said publications
* the relationship between research and patenting was evaluated in two ways
** At the institutional level: patents assigned to universities
** At the individual level: patents with university researchers as the inventors

==== Critiques ====
* citations are not really a perfect measure of research quality and citations have little to do with practical use of the study (i.e. how much technological innovation is generated as a result of academic research publications)

==== Other Discoveries ====

* Study by Landry R., Amara N., and Saihi, M. (2006)
* (Owen Smith and Powell 2003) found that "organizations involved in technological commercialization tend to have higher publication rates than those who are not"
* (Lach and Schankerman 2003) found that "licensing revenues at the university level are positively influenced by publication citations per faculty"

University Patents

2017-02-22T17:56:04Z

Meghanapannala: /* Key Words for finding Universities */

{{McNair Projects
|Project Title=University Patents,
|Topic Area=Patents and Innovation,
|Owner=Julia Wang,
|Keywords=Patent,
}}

==Project Overview==
Goal: list of all universities and # of patents each university and patent licensing

patent reassignment to startups associated with these universities

clinical trials (from Catherine) data to rank universities R&D engagement

identify list of universities: board of regents, universities in patent data (find patterns associated with university assignees) -- @Julia: Where did we get this list? I'd love to be able filter by country - Meghana

AUTM?

=== Key Words for finding Universities ===

BOARD OF REGENTS - pretty much exclusively describes Universities

UNIVERSITY - also exclusively describes Universities

UNIVERITY (common misspelling)

SCHOOL - often used in combination with medicine or medical to describe medical schools
** also are used to describe actual schools (i.e. HISD) and other businesses
** sometimes present in addresses - can we cut off the adresses?
** also used in combination with Business (i.e. Harvard Business School)
** use school only in conjuction with medical, medicine, and business

COLLEGE - need to cut off addresses for this to work

INSTITUTE OF TECHNOLOGY - almost exclusively describes universities but sometimes describes external research institutes

How do we feel about affiliated, non-degree granting research institutes?

==What to get from other people==

Avesh has clinical trial data on wiki and bulk drive (FDA Trials Data), need to build it into normal form, use clinical trials data to rank R&D engagement of universities, will be building up portfolios of different types of companies

Marcela is cleaning up patent data, has given patent assignee names -- got it! Could we filter by country and get strictly American names?

Catherine has zip codes of medical centers, use to look through patent data

==Wish List==

*List of university-affiliated startups
*data about TTOs (# and quality of employees)

==Questions==
*How innovative are universities compared to publicly-traded firms, etc.? (firms: 100 active patents at any given time)
*How do universities license?
*What does the average portfolio look like for universities? (compared to publicly traded, VC-backed, etc)
*What can explain the differences in rankings? (size, quality of universities, TTOs and quality/experience of workers - searched LinkedIns, geography, entrepreneurship programs, NIH/NSF grants)

==To Do==

1. lit review (look at for 1-2 days), look for holistic picture, what has/hasn’t been done? what are the questions people are asking?

2. look at patent data, determine how to find universities in patent database: board of regents, universities in patent data (find patterns associated with university assignees)

==Lit Reviews==

===Thursby, J. & Thursby, M.: Who Is Selling the Ivory Tower? Sources of Growth in University Licensing (2002)===

[http://pubsonline.informs.org/doi/pdf/10.1287/mnsc.48.1.90.14271]

@article{thursby2002who,
title={Who Is Selling the Ivory Tower? Sources of Growth in University Licensing},
author={Thursby, Jerry G. and Thursby, Marie C.},
journal={Management Science},
volume={48},
number={1},
pages={90--104},
year={2002},
publisher={INFORMS},
filename={Thursby Thursby (2002) - Who Is Selling the Ivory Tower}
}

*Reliance of industry on university inventions has increased
**AUTM surveys show 7.1% growth in yearly inventions disclosure from 1994-1998 for 64 universities that responded every year
*Primary reason for more disclosures may be increased propensity for faculty to disclose, rather than change in research focus
*Universities becoming more receptive to industry contracts
*Negative total TFP growth of licenses executed (-1.7% annual growth) - growth in disclosures and patent applications greater than the corresponding growth in licenses executed.
**Marginal university innovation offered to the market has declined in commercial appeal
**Universities are delving more deeply into the available pool of innovations to increase commercial activities
*No evidence on the importance of learning by doing on the part of TTOs except to note negative association between TTO growth and TFP growth in licensing
**Suggests at least the possibility of learning by doing effects

'''Other literature'''

*On the role of patents and publications in the transfer process: Adams 1990, Henderson et al. 1998, and Jaffe et al. 1993
*On consulting, sponsored research or institutional ties: Cohen et al. 1998; Mansfield 1995; Zucker et al. 1994, 1998
*On the nature of university licensing: Jensen and Thursby 2001, Mowery et al. 2001a,b, Mowery et al. 2001, Siegel et al. 1999, Thursby et al. 2001, Thursby and Kemp 2001

===Thursby, J., Jensen, Thursby, M.: Objectives, Characteristics and Outcomes of University Licensing: A Survey of Major U.S. Universities (2001)===

[https://pdfs.semanticscholar.org/637f/048c05ee83eb84a914f69e087f52acea1b6c.pdf]

@article{thursby2001objectives,
title={Objectives, Characteristics and Outcomes of University Licensing: A Survey of Major U.S. Universities},
author={Thursby, Jerry G., Jensen, Richard, and Thursby, Marie C.},
journal={The Journal of Technology Transfer},
volume={26},
number={1},
pages={59--72},
year={2001},
publisher={Springer},
abstract={This paper describes results of our survey of licensing at 62 research universities. We consider ownership, income splits, stage of development, marketing, license policies and characteristics, goals of licensing and the role of the inventor in licensing. Based on these results we analyze the relationship between licensing outcomes and both the objectives of the TTO and the characteristics of the technologies. Patent applications grow one-to-one with disclosures, while sponsored research grows similarly with licenses executed. Royalties are typically larger the higher the quality of the faculty and the higher the fraction of licenses that are executed at latter stages of development. Sponsored research is more likely to be included in a license if the new technology is at an early stage of development or if the TTO evaluates it as important. We find that additional disclosures generate smaller percentage increases in licenses, and those increases in licenses generate smaller percentage increases in royalties.},
filename={Thursby et al (2001) - Objectives, Characteristics and Outcomes of University Licensing}
}

*University licensing has increased dramatically post-Bayh-Dole (1980)
**According to AUTM 1996, licenses executed increased 75% from 1991-1996, (total: 13,087)
*Survey of TTOs of 62 major US universities
**Majority of universities retain titles to inventions
**All universities split income with inventors
**Royalties generate most of the revenue of licensing

*Open question: Is the increased propensity of faculty to disclose a response to financial incentives or an increase in the effectiveness of TTOs in inducing disclosure?

Survey
*62/135 universities responded
*63% public, and 62% of public universities that responded were land-grant
*37% private
*average industry sponsored research $16.9 mil, federally sponsored $149.6 mil (1996)
*average TTO: 26.3 licenses executed, 92.3 invention disclosures, 30.1 new patent apps, $4.2 mil income (1996)
*35% of respondents had reorganized TTO since 1990
*90% of universities allow faculty to establish and operate businesses based on technology owned by university but developed in faculty's research
*Inventions disclosed: 33% med schools, 29% engineering, 22% science, 6% agriculture, 10% other
*Majority of invention disclosures in nascent stage (proof of concept - 45% or prototype - 37%)
*Patents often applied for after knowing commercial viability, licensed technologies often not protected by patents
*60% of universities said small companies more likely to take early stage technologies and large companies more likely to take late stage - small firms may have advantage in "innovative" research (Holmstrom 1989)
*TTOs obtain smaller upfront fees the more uncertain the technology being licensed is
*Universities usually do not take equity in the license

Regression of licensing outcomes

[[File:LicensingOutcomeReg.png|500px]]

*Dependent variables: royalties, sponsored research, patents (new applications), licenses executed
*Independent variables: importance of outcome to TTO, types of inventions, measure of size of university's licensing operation/potential
*Logs of all variables except indicator variables
*Probit for frequency of sponsored research
*INVDIS: number of disclosures
*TTOSIZE: number of licensing individuals
*TTOEVAL_1 = 1: if TTOs that said licenses/patents are "not very important"
*TTOEVAL_2 = 1: if TTOs that said licenses/patents are "moderately important"
*PROOF: % of licensed disclosures that were "proof of concept but no prototype"
*PTYPE: "Prototype available but only lab scale"
*MEDSCHL: 1 if med school exists
*QUAL: academic quality of faculty (1993 NRC's survey results of academic quality of Ph.D. granting departments)
*LICENSES: number of licenses executed
*SPONRES: amount of sponsored research
*SPONFREQ: frequency that sponsored research is tied to license (according to TTO)
*patent apps grow 1-to-1 with disclosures
*sponsored research grows with licenses executed
*more licenses executed at universities with large TTOs and med schools
*higher royalties with higher quality of faculty and higher fraction of licenses executed at later stages of development
*additional disclosures generate smaller % increases in licenses, which generate smaller % increases in royalties (TTOs generally effective at tapping pool of available technologies in their universities)

===Thursby, J., Fuller, Thursby, M.: US Faculty Patenting: Inside and Outside the University (2009)===

[http://www.nber.org/papers/w13256.pdf]

@article{thursby2009us,
title = "US Faculty Patenting: Inside and Outside the University",
author = "Jerry G. Thursby, Anne W. Fuller, and Marie C. Thursby",
journal={Research Policy},
volume={38},
number={1},
pages={14--25},
year={2009},
publisher={Elsevier},
abstract = {This paper examines the empirical anomaly that in a sample of 5811 patents on which US faculty are listed as inventors, 26% of the patents are assigned solely to firms rather than to the faculty member's university as is dictated by US university employment policies or the Bayh Dole Act. In this paper we estimate a series of probability models of assignment as a function of patent characteristics, university policy, and inventor fields in order to examine the extent to which outside assignment is nefarious or comes from legitimate activities, such as consulting. Patents assigned to firms (whether established or start-ups with inventor as principal) are less basic than those assigned to universities suggesting these patents result from faculty consulting. A higher inventor share increases the likelihood of university assignment as compared with assignment to a firm in which the inventor is a principal but it has no effect on consulting with established firms versus assignment to the university. Faculty in the physical sciences and engineering are more likely to assign their patents to established firms than those in biological sciences.},
filename={Thursby et al (2009) - US Faculty Patenting},
}

*only 62.4% of patents by university faculty members of 87 universities were assigned solely to universities
*identifying US university patents by institutional assignment misses significant percentage of faculty innovation in US universities
*higher inventor share increases likelihood of university assignment compared with assignment to a firm where inventor is principal
*possibilities: faculty in low share universities may be more willing to seek outside remuneration via assignment to start-up where they are principal; revenue shares may not affect startup activity but simply reduce number of inventions disclosed to university

Sources
*Faculty names from NRC
*Compared with inventor names in NBER Patent Database
*Excluded faculty who do not patent

Patent/Inventor Pairs
*MIT: 315
*Wisconsin: 232
*Stanford: 223
*UC San Diego: 216
*UC Berkeley: 207

Out of 5811 patents:
*1513 assigned solely to firms
*241 assigned to both firms and universities
*327 unassigned
*faculty are principals in assignee firms for 32.3% of patents assigned solely to firms and 24% of patents assigned to both (lower bound)

=== Valdivia: University Start-ups: Critical for Improving Technology Transfer (2013) ===

[https://www.brookings.edu/wp-content/uploads/2016/06/Valdivia_Tech-Transfer_v29_No-Embargo.pdf]

*Current emphasis on licensing patents, but most university TTOs do not generate enough to cover operating expenses
*Asymmetry in distribution of resources across the university system, only a few universities benefit from high licensing revenues
**top 8 universities took 50% of licensing income, top 16 universities took nearly 75% of income
**only 37 universities have been in the top 20 during the last decade (listed in University Patents > LicensingGrossIncome2003-2012.txt)
*Universities face much more pressure to demonstrate the economic impact of their R&D contracts
**97.6% of total public contracts obtained by universities are for basic/applied research
**2% of university research delivers ready-to-use technologies
**academic research is much more dependent on government funding than industry research is
*Government pressure for universities to be more responsive to market forces, more entrepreneurial, more attuned to needs of industry
*TTOs are costly to universities
*1979: 30 universities with TTO -> 1999: 174 universities (AUTM)
*2010: 206 US universities have very high or high research activity, all with TTOs (but not all report to AUTM) (Carnegie Classification of Higher Education)
*Over last 20 years, 87% of universities did not break even
*Clash between aims of university (non-profit) and TTO (essentially a business unit)
*By nurturing start-ups, TTOs can add most economic value to an invention disclosure
*2003: universities initiated 330 startups, 2012: 647 startups
*2012: 3715 operating university startups, almost double the number in 2000 (AUTM 2013)
*Startups mitigate financial risk by reducing reliance on blockbuster patents, increase diversification of portfolio
*Policy proposal: the government should increase funding for Small Business Technology Transfer Program (directed to university start-ups)
**H.R.2981: reapportions STTR funds at 0.05% in the next 2 years and 0.1% henceforth for university enterprises at proof of concept stage
*Should increase portion that agencies set aside for STTR
**STTR should have Phase III like SBIR to fund commercialization efforts
*Need equitable distribution across university system

=== The Bayh-Dole Act and High-Technology Entrepreneurship in U.S. Universities: Chicken, Egg, or Something Else? (2004) ===

[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.484.1612&rep=rep1&type=pdf]

==== Findings ====

* University research has an unusually significant impact on industrial innovation in the biomedical sector
* " This work also suggests that academic research rarely produces “prototypes” of inventions for development
and commercialization by industry—instead, academic research informs the methods and disciplines
employed by firms in their R&D facilities."
* The U.S. higher education system is much larger and more heterogenous than other developed countries - this encourages competition
* The passage of the Bayh-Dole Act was one part of a broader shift in U.S. policy toward stronger
intellectual property rights
* "Universities increased their share of patenting from less than 0.3% in 1963 to nearly 4% by 1999, but the rate of growth in this share begins to accelerate before rather than after 1980."
* "the Act's provisions expressed Congressional support for the negotiation of exclusive licenses between universities and industrial firms for the results of federally funded research"
* licensing revenues account for only a miniscule portion of universities' overall academic budgets
* the acceleration in growth of patenting and licensing began before the passage of the Bayh-Dole Act so this acceleration cannot be wholly attributed to the Act
* "the flow of knowledge and technology between university and industrial research is a two-way flow," despite previous characterization as wholly from academia to industry
* patents seem to be "especially important channels for technology transfer" in the biomedical sector

==== Data Sources ====
* 5 different case studies
1. Cotransformation: a process to transfer genes into mammalian cells (Columbia University).

2. Gallium Nitride: a semiconductor with both military and commercial applications (University of California).

3. Xalatan: a glaucoma treatment (Columbia University).

4. Ames II Tests: a bacteria assay for testing potential carcinogenic properties of pharmaceuticals and cosmetics (University of California).

5. Soluble CD4: a prototype for a drug to fight AIDS (Columbia University).

==== Critiques ====
* focuses on case studies as source of data

===Dornbusch, Schmoch, Schulze, Bethke: Identification of University-Based Patents: A New Large-Scale Approach (2012)===

[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.722.1368&rep=rep1&type=pdf]

Specific for German case, but certain points can help us

European convergence to US model (Bayh-Dole seen as main driver behind growing patent portfolios of US universities)

*University-owned patents (assigned to universities or their TTOs) and university-invented patents (assigned to university-affiliated authors)

*matching lists: matching lists of university staff/professors with inventor data
**time-consuming, costly, possibly not updated
**typically limited to tenured professors
**does not include Ph.D. students, assistants, lecturers
*matching authors of scientific publications and inventors on patents
**beware of homonyms

=== Singh A. and Wong P.K: University patenting activities and their link to the quantity and quality of scientific publications (2009) ===

[https://pdfs.semanticscholar.org/bb3a/df09ca693cdcff6c1f6aaf18113cabec2655.pdf]
==== Findings ====
* patenting by 281 leading world universities has consistently grown faster than general American patenting from 1977 - 2000
* North American university patenting growth has slowed relative to universities outside North America since the mid-1990s
* Between 2003-2005, they found that university patenting output has significant correlation with the both the quality and quantity of scientific publishing in North America
* In European and Australian universities, patenting correlated only with the quantity of scientific publishing, not with the quality
* In universities Europe, Australia, and North America, patenting correlated only with the quality of scientific publishing

==== Data Sources ====
* USPTO Patenting Data
* Shanghai Jia Tong University's Academic Ranking of World Universities (ARWU)
* Times Higher Education Supplement's World University Ranking (WUR)
* Quantity was measured by counts of publications
* Quality was measured by citations to said publications
* the relationship between research and patenting was evaluated in two ways
** At the institutional level: patents assigned to universities
** At the individual level: patents with university researchers as the inventors

==== Critiques ====
* citations are not really a perfect measure of research quality and citations have little to do with practical use of the study (i.e. how much technological innovation is generated as a result of academic research publications)

==== Other Discoveries ====

* Study by Landry R., Amara N., and Saihi, M. (2006)
* (Owen Smith and Powell 2003) found that "organizations involved in technological commercialization tend to have higher publication rates than those who are not"
* (Lach and Schankerman 2003) found that "licensing revenues at the university level are positively influenced by publication citations per faculty"

University Patents

2017-02-22T17:55:43Z

Meghanapannala: /* Project Overview */

{{McNair Projects
|Project Title=University Patents,
|Topic Area=Patents and Innovation,
|Owner=Julia Wang,
|Keywords=Patent,
}}

==Project Overview==
Goal: list of all universities and # of patents each university and patent licensing

patent reassignment to startups associated with these universities

clinical trials (from Catherine) data to rank universities R&D engagement

identify list of universities: board of regents, universities in patent data (find patterns associated with university assignees) -- @Julia: Where did we get this list? I'd love to be able filter by country - Meghana

AUTM?

=== Key Words for finding Universities ===

BOARD OF REGENTS - pretty much exclusively describes Universities
UNIVERSITY - also exclusively describes Universities
UNIVERITY (common misspelling)
SCHOOL - often used in combination with medicine or medical to describe medical schools
** also are used to describe actual schools (i.e. HISD) and other businesses
** sometimes present in addresses - can we cut off the adresses?
** also used in combination with Business (i.e. Harvard Business School)
** use school only in conjuction with medical, medicine, and business
COLLEGE - need to cut off addresses for this to work
INSTITUTE OF TECHNOLOGY - almost exclusively describes universities but sometimes describes external research institutes
How do we feel about affiliated, non-degree granting research institutes?

==What to get from other people==

Avesh has clinical trial data on wiki and bulk drive (FDA Trials Data), need to build it into normal form, use clinical trials data to rank R&D engagement of universities, will be building up portfolios of different types of companies

Marcela is cleaning up patent data, has given patent assignee names -- got it! Could we filter by country and get strictly American names?

Catherine has zip codes of medical centers, use to look through patent data

==Wish List==

*List of university-affiliated startups
*data about TTOs (# and quality of employees)

==Questions==
*How innovative are universities compared to publicly-traded firms, etc.? (firms: 100 active patents at any given time)
*How do universities license?
*What does the average portfolio look like for universities? (compared to publicly traded, VC-backed, etc)
*What can explain the differences in rankings? (size, quality of universities, TTOs and quality/experience of workers - searched LinkedIns, geography, entrepreneurship programs, NIH/NSF grants)

==To Do==

1. lit review (look at for 1-2 days), look for holistic picture, what has/hasn’t been done? what are the questions people are asking?

2. look at patent data, determine how to find universities in patent database: board of regents, universities in patent data (find patterns associated with university assignees)

==Lit Reviews==

===Thursby, J. & Thursby, M.: Who Is Selling the Ivory Tower? Sources of Growth in University Licensing (2002)===

[http://pubsonline.informs.org/doi/pdf/10.1287/mnsc.48.1.90.14271]

@article{thursby2002who,
title={Who Is Selling the Ivory Tower? Sources of Growth in University Licensing},
author={Thursby, Jerry G. and Thursby, Marie C.},
journal={Management Science},
volume={48},
number={1},
pages={90--104},
year={2002},
publisher={INFORMS},
filename={Thursby Thursby (2002) - Who Is Selling the Ivory Tower}
}

*Reliance of industry on university inventions has increased
**AUTM surveys show 7.1% growth in yearly inventions disclosure from 1994-1998 for 64 universities that responded every year
*Primary reason for more disclosures may be increased propensity for faculty to disclose, rather than change in research focus
*Universities becoming more receptive to industry contracts
*Negative total TFP growth of licenses executed (-1.7% annual growth) - growth in disclosures and patent applications greater than the corresponding growth in licenses executed.
**Marginal university innovation offered to the market has declined in commercial appeal
**Universities are delving more deeply into the available pool of innovations to increase commercial activities
*No evidence on the importance of learning by doing on the part of TTOs except to note negative association between TTO growth and TFP growth in licensing
**Suggests at least the possibility of learning by doing effects

'''Other literature'''

*On the role of patents and publications in the transfer process: Adams 1990, Henderson et al. 1998, and Jaffe et al. 1993
*On consulting, sponsored research or institutional ties: Cohen et al. 1998; Mansfield 1995; Zucker et al. 1994, 1998
*On the nature of university licensing: Jensen and Thursby 2001, Mowery et al. 2001a,b, Mowery et al. 2001, Siegel et al. 1999, Thursby et al. 2001, Thursby and Kemp 2001

===Thursby, J., Jensen, Thursby, M.: Objectives, Characteristics and Outcomes of University Licensing: A Survey of Major U.S. Universities (2001)===

[https://pdfs.semanticscholar.org/637f/048c05ee83eb84a914f69e087f52acea1b6c.pdf]

@article{thursby2001objectives,
title={Objectives, Characteristics and Outcomes of University Licensing: A Survey of Major U.S. Universities},
author={Thursby, Jerry G., Jensen, Richard, and Thursby, Marie C.},
journal={The Journal of Technology Transfer},
volume={26},
number={1},
pages={59--72},
year={2001},
publisher={Springer},
abstract={This paper describes results of our survey of licensing at 62 research universities. We consider ownership, income splits, stage of development, marketing, license policies and characteristics, goals of licensing and the role of the inventor in licensing. Based on these results we analyze the relationship between licensing outcomes and both the objectives of the TTO and the characteristics of the technologies. Patent applications grow one-to-one with disclosures, while sponsored research grows similarly with licenses executed. Royalties are typically larger the higher the quality of the faculty and the higher the fraction of licenses that are executed at latter stages of development. Sponsored research is more likely to be included in a license if the new technology is at an early stage of development or if the TTO evaluates it as important. We find that additional disclosures generate smaller percentage increases in licenses, and those increases in licenses generate smaller percentage increases in royalties.},
filename={Thursby et al (2001) - Objectives, Characteristics and Outcomes of University Licensing}
}

*University licensing has increased dramatically post-Bayh-Dole (1980)
**According to AUTM 1996, licenses executed increased 75% from 1991-1996, (total: 13,087)
*Survey of TTOs of 62 major US universities
**Majority of universities retain titles to inventions
**All universities split income with inventors
**Royalties generate most of the revenue of licensing

*Open question: Is the increased propensity of faculty to disclose a response to financial incentives or an increase in the effectiveness of TTOs in inducing disclosure?

Survey
*62/135 universities responded
*63% public, and 62% of public universities that responded were land-grant
*37% private
*average industry sponsored research $16.9 mil, federally sponsored $149.6 mil (1996)
*average TTO: 26.3 licenses executed, 92.3 invention disclosures, 30.1 new patent apps, $4.2 mil income (1996)
*35% of respondents had reorganized TTO since 1990
*90% of universities allow faculty to establish and operate businesses based on technology owned by university but developed in faculty's research
*Inventions disclosed: 33% med schools, 29% engineering, 22% science, 6% agriculture, 10% other
*Majority of invention disclosures in nascent stage (proof of concept - 45% or prototype - 37%)
*Patents often applied for after knowing commercial viability, licensed technologies often not protected by patents
*60% of universities said small companies more likely to take early stage technologies and large companies more likely to take late stage - small firms may have advantage in "innovative" research (Holmstrom 1989)
*TTOs obtain smaller upfront fees the more uncertain the technology being licensed is
*Universities usually do not take equity in the license

Regression of licensing outcomes

[[File:LicensingOutcomeReg.png|500px]]

*Dependent variables: royalties, sponsored research, patents (new applications), licenses executed
*Independent variables: importance of outcome to TTO, types of inventions, measure of size of university's licensing operation/potential
*Logs of all variables except indicator variables
*Probit for frequency of sponsored research
*INVDIS: number of disclosures
*TTOSIZE: number of licensing individuals
*TTOEVAL_1 = 1: if TTOs that said licenses/patents are "not very important"
*TTOEVAL_2 = 1: if TTOs that said licenses/patents are "moderately important"
*PROOF: % of licensed disclosures that were "proof of concept but no prototype"
*PTYPE: "Prototype available but only lab scale"
*MEDSCHL: 1 if med school exists
*QUAL: academic quality of faculty (1993 NRC's survey results of academic quality of Ph.D. granting departments)
*LICENSES: number of licenses executed
*SPONRES: amount of sponsored research
*SPONFREQ: frequency that sponsored research is tied to license (according to TTO)
*patent apps grow 1-to-1 with disclosures
*sponsored research grows with licenses executed
*more licenses executed at universities with large TTOs and med schools
*higher royalties with higher quality of faculty and higher fraction of licenses executed at later stages of development
*additional disclosures generate smaller % increases in licenses, which generate smaller % increases in royalties (TTOs generally effective at tapping pool of available technologies in their universities)

===Thursby, J., Fuller, Thursby, M.: US Faculty Patenting: Inside and Outside the University (2009)===

[http://www.nber.org/papers/w13256.pdf]

@article{thursby2009us,
title = "US Faculty Patenting: Inside and Outside the University",
author = "Jerry G. Thursby, Anne W. Fuller, and Marie C. Thursby",
journal={Research Policy},
volume={38},
number={1},
pages={14--25},
year={2009},
publisher={Elsevier},
abstract = {This paper examines the empirical anomaly that in a sample of 5811 patents on which US faculty are listed as inventors, 26% of the patents are assigned solely to firms rather than to the faculty member's university as is dictated by US university employment policies or the Bayh Dole Act. In this paper we estimate a series of probability models of assignment as a function of patent characteristics, university policy, and inventor fields in order to examine the extent to which outside assignment is nefarious or comes from legitimate activities, such as consulting. Patents assigned to firms (whether established or start-ups with inventor as principal) are less basic than those assigned to universities suggesting these patents result from faculty consulting. A higher inventor share increases the likelihood of university assignment as compared with assignment to a firm in which the inventor is a principal but it has no effect on consulting with established firms versus assignment to the university. Faculty in the physical sciences and engineering are more likely to assign their patents to established firms than those in biological sciences.},
filename={Thursby et al (2009) - US Faculty Patenting},
}

*only 62.4% of patents by university faculty members of 87 universities were assigned solely to universities
*identifying US university patents by institutional assignment misses significant percentage of faculty innovation in US universities
*higher inventor share increases likelihood of university assignment compared with assignment to a firm where inventor is principal
*possibilities: faculty in low share universities may be more willing to seek outside remuneration via assignment to start-up where they are principal; revenue shares may not affect startup activity but simply reduce number of inventions disclosed to university

Sources
*Faculty names from NRC
*Compared with inventor names in NBER Patent Database
*Excluded faculty who do not patent

Patent/Inventor Pairs
*MIT: 315
*Wisconsin: 232
*Stanford: 223
*UC San Diego: 216
*UC Berkeley: 207

Out of 5811 patents:
*1513 assigned solely to firms
*241 assigned to both firms and universities
*327 unassigned
*faculty are principals in assignee firms for 32.3% of patents assigned solely to firms and 24% of patents assigned to both (lower bound)

=== Valdivia: University Start-ups: Critical for Improving Technology Transfer (2013) ===

[https://www.brookings.edu/wp-content/uploads/2016/06/Valdivia_Tech-Transfer_v29_No-Embargo.pdf]

*Current emphasis on licensing patents, but most university TTOs do not generate enough to cover operating expenses
*Asymmetry in distribution of resources across the university system, only a few universities benefit from high licensing revenues
**top 8 universities took 50% of licensing income, top 16 universities took nearly 75% of income
**only 37 universities have been in the top 20 during the last decade (listed in University Patents > LicensingGrossIncome2003-2012.txt)
*Universities face much more pressure to demonstrate the economic impact of their R&D contracts
**97.6% of total public contracts obtained by universities are for basic/applied research
**2% of university research delivers ready-to-use technologies
**academic research is much more dependent on government funding than industry research is
*Government pressure for universities to be more responsive to market forces, more entrepreneurial, more attuned to needs of industry
*TTOs are costly to universities
*1979: 30 universities with TTO -> 1999: 174 universities (AUTM)
*2010: 206 US universities have very high or high research activity, all with TTOs (but not all report to AUTM) (Carnegie Classification of Higher Education)
*Over last 20 years, 87% of universities did not break even
*Clash between aims of university (non-profit) and TTO (essentially a business unit)
*By nurturing start-ups, TTOs can add most economic value to an invention disclosure
*2003: universities initiated 330 startups, 2012: 647 startups
*2012: 3715 operating university startups, almost double the number in 2000 (AUTM 2013)
*Startups mitigate financial risk by reducing reliance on blockbuster patents, increase diversification of portfolio
*Policy proposal: the government should increase funding for Small Business Technology Transfer Program (directed to university start-ups)
**H.R.2981: reapportions STTR funds at 0.05% in the next 2 years and 0.1% henceforth for university enterprises at proof of concept stage
*Should increase portion that agencies set aside for STTR
**STTR should have Phase III like SBIR to fund commercialization efforts
*Need equitable distribution across university system

=== The Bayh-Dole Act and High-Technology Entrepreneurship in U.S. Universities: Chicken, Egg, or Something Else? (2004) ===

[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.484.1612&rep=rep1&type=pdf]

==== Findings ====

* University research has an unusually significant impact on industrial innovation in the biomedical sector
* " This work also suggests that academic research rarely produces “prototypes” of inventions for development
and commercialization by industry—instead, academic research informs the methods and disciplines
employed by firms in their R&D facilities."
* The U.S. higher education system is much larger and more heterogenous than other developed countries - this encourages competition
* The passage of the Bayh-Dole Act was one part of a broader shift in U.S. policy toward stronger
intellectual property rights
* "Universities increased their share of patenting from less than 0.3% in 1963 to nearly 4% by 1999, but the rate of growth in this share begins to accelerate before rather than after 1980."
* "the Act's provisions expressed Congressional support for the negotiation of exclusive licenses between universities and industrial firms for the results of federally funded research"
* licensing revenues account for only a miniscule portion of universities' overall academic budgets
* the acceleration in growth of patenting and licensing began before the passage of the Bayh-Dole Act so this acceleration cannot be wholly attributed to the Act
* "the flow of knowledge and technology between university and industrial research is a two-way flow," despite previous characterization as wholly from academia to industry
* patents seem to be "especially important channels for technology transfer" in the biomedical sector

==== Data Sources ====
* 5 different case studies
1. Cotransformation: a process to transfer genes into mammalian cells (Columbia University).

2. Gallium Nitride: a semiconductor with both military and commercial applications (University of California).

3. Xalatan: a glaucoma treatment (Columbia University).

4. Ames II Tests: a bacteria assay for testing potential carcinogenic properties of pharmaceuticals and cosmetics (University of California).

5. Soluble CD4: a prototype for a drug to fight AIDS (Columbia University).

==== Critiques ====
* focuses on case studies as source of data

===Dornbusch, Schmoch, Schulze, Bethke: Identification of University-Based Patents: A New Large-Scale Approach (2012)===

[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.722.1368&rep=rep1&type=pdf]

Specific for German case, but certain points can help us

European convergence to US model (Bayh-Dole seen as main driver behind growing patent portfolios of US universities)

*University-owned patents (assigned to universities or their TTOs) and university-invented patents (assigned to university-affiliated authors)

*matching lists: matching lists of university staff/professors with inventor data
**time-consuming, costly, possibly not updated
**typically limited to tenured professors
**does not include Ph.D. students, assistants, lecturers
*matching authors of scientific publications and inventors on patents
**beware of homonyms

=== Singh A. and Wong P.K: University patenting activities and their link to the quantity and quality of scientific publications (2009) ===

[https://pdfs.semanticscholar.org/bb3a/df09ca693cdcff6c1f6aaf18113cabec2655.pdf]
==== Findings ====
* patenting by 281 leading world universities has consistently grown faster than general American patenting from 1977 - 2000
* North American university patenting growth has slowed relative to universities outside North America since the mid-1990s
* Between 2003-2005, they found that university patenting output has significant correlation with the both the quality and quantity of scientific publishing in North America
* In European and Australian universities, patenting correlated only with the quantity of scientific publishing, not with the quality
* In universities Europe, Australia, and North America, patenting correlated only with the quality of scientific publishing

==== Data Sources ====
* USPTO Patenting Data
* Shanghai Jia Tong University's Academic Ranking of World Universities (ARWU)
* Times Higher Education Supplement's World University Ranking (WUR)
* Quantity was measured by counts of publications
* Quality was measured by citations to said publications
* the relationship between research and patenting was evaluated in two ways
** At the institutional level: patents assigned to universities
** At the individual level: patents with university researchers as the inventors

==== Critiques ====
* citations are not really a perfect measure of research quality and citations have little to do with practical use of the study (i.e. how much technological innovation is generated as a result of academic research publications)

==== Other Discoveries ====

* Study by Landry R., Amara N., and Saihi, M. (2006)
* (Owen Smith and Powell 2003) found that "organizations involved in technological commercialization tend to have higher publication rates than those who are not"
* (Lach and Schankerman 2003) found that "licensing revenues at the university level are positively influenced by publication citations per faculty"

University Patents

2017-02-22T17:32:38Z

Meghanapannala: /* What to get from other people */

{{McNair Projects
|Project Title=University Patents,
|Topic Area=Patents and Innovation,
|Owner=Julia Wang,
|Keywords=Patent,
}}

==Project Overview==
Goal: list of all universities and # of patents each university and patent licensing

patent reassignment to startups associated with these universities

clinical trials (from Catherine) data to rank universities R&D engagement

identify list of universities: board of regents, universities in patent data (find patterns associated with university assignees) -- @Julia: Where did we get this list? I'd love to be able filter by country - Meghana

AUTM?

==What to get from other people==

Avesh has clinical trial data on wiki and bulk drive (FDA Trials Data), need to build it into normal form, use clinical trials data to rank R&D engagement of universities, will be building up portfolios of different types of companies

Marcela is cleaning up patent data, has given patent assignee names -- got it! Could we filter by country and get strictly American names?

Catherine has zip codes of medical centers, use to look through patent data

==Wish List==

*List of university-affiliated startups
*data about TTOs (# and quality of employees)

==Questions==
*How innovative are universities compared to publicly-traded firms, etc.? (firms: 100 active patents at any given time)
*How do universities license?
*What does the average portfolio look like for universities? (compared to publicly traded, VC-backed, etc)
*What can explain the differences in rankings? (size, quality of universities, TTOs and quality/experience of workers - searched LinkedIns, geography, entrepreneurship programs, NIH/NSF grants)

==To Do==

1. lit review (look at for 1-2 days), look for holistic picture, what has/hasn’t been done? what are the questions people are asking?

2. look at patent data, determine how to find universities in patent database: board of regents, universities in patent data (find patterns associated with university assignees)

==Lit Reviews==

===Thursby, J. & Thursby, M.: Who Is Selling the Ivory Tower? Sources of Growth in University Licensing (2002)===

[http://pubsonline.informs.org/doi/pdf/10.1287/mnsc.48.1.90.14271]

@article{thursby2002who,
title={Who Is Selling the Ivory Tower? Sources of Growth in University Licensing},
author={Thursby, Jerry G. and Thursby, Marie C.},
journal={Management Science},
volume={48},
number={1},
pages={90--104},
year={2002},
publisher={INFORMS},
filename={Thursby Thursby (2002) - Who Is Selling the Ivory Tower}
}

*Reliance of industry on university inventions has increased
**AUTM surveys show 7.1% growth in yearly inventions disclosure from 1994-1998 for 64 universities that responded every year
*Primary reason for more disclosures may be increased propensity for faculty to disclose, rather than change in research focus
*Universities becoming more receptive to industry contracts
*Negative total TFP growth of licenses executed (-1.7% annual growth) - growth in disclosures and patent applications greater than the corresponding growth in licenses executed.
**Marginal university innovation offered to the market has declined in commercial appeal
**Universities are delving more deeply into the available pool of innovations to increase commercial activities
*No evidence on the importance of learning by doing on the part of TTOs except to note negative association between TTO growth and TFP growth in licensing
**Suggests at least the possibility of learning by doing effects

'''Other literature'''

*On the role of patents and publications in the transfer process: Adams 1990, Henderson et al. 1998, and Jaffe et al. 1993
*On consulting, sponsored research or institutional ties: Cohen et al. 1998; Mansfield 1995; Zucker et al. 1994, 1998
*On the nature of university licensing: Jensen and Thursby 2001, Mowery et al. 2001a,b, Mowery et al. 2001, Siegel et al. 1999, Thursby et al. 2001, Thursby and Kemp 2001

===Thursby, J., Jensen, Thursby, M.: Objectives, Characteristics and Outcomes of University Licensing: A Survey of Major U.S. Universities (2001)===

[https://pdfs.semanticscholar.org/637f/048c05ee83eb84a914f69e087f52acea1b6c.pdf]

@article{thursby2001objectives,
title={Objectives, Characteristics and Outcomes of University Licensing: A Survey of Major U.S. Universities},
author={Thursby, Jerry G., Jensen, Richard, and Thursby, Marie C.},
journal={The Journal of Technology Transfer},
volume={26},
number={1},
pages={59--72},
year={2001},
publisher={Springer},
abstract={This paper describes results of our survey of licensing at 62 research universities. We consider ownership, income splits, stage of development, marketing, license policies and characteristics, goals of licensing and the role of the inventor in licensing. Based on these results we analyze the relationship between licensing outcomes and both the objectives of the TTO and the characteristics of the technologies. Patent applications grow one-to-one with disclosures, while sponsored research grows similarly with licenses executed. Royalties are typically larger the higher the quality of the faculty and the higher the fraction of licenses that are executed at latter stages of development. Sponsored research is more likely to be included in a license if the new technology is at an early stage of development or if the TTO evaluates it as important. We find that additional disclosures generate smaller percentage increases in licenses, and those increases in licenses generate smaller percentage increases in royalties.},
filename={Thursby et al (2001) - Objectives, Characteristics and Outcomes of University Licensing}
}

*University licensing has increased dramatically post-Bayh-Dole (1980)
**According to AUTM 1996, licenses executed increased 75% from 1991-1996, (total: 13,087)
*Survey of TTOs of 62 major US universities
**Majority of universities retain titles to inventions
**All universities split income with inventors
**Royalties generate most of the revenue of licensing

*Open question: Is the increased propensity of faculty to disclose a response to financial incentives or an increase in the effectiveness of TTOs in inducing disclosure?

Survey
*62/135 universities responded
*63% public, and 62% of public universities that responded were land-grant
*37% private
*average industry sponsored research $16.9 mil, federally sponsored $149.6 mil (1996)
*average TTO: 26.3 licenses executed, 92.3 invention disclosures, 30.1 new patent apps, $4.2 mil income (1996)
*35% of respondents had reorganized TTO since 1990
*90% of universities allow faculty to establish and operate businesses based on technology owned by university but developed in faculty's research
*Inventions disclosed: 33% med schools, 29% engineering, 22% science, 6% agriculture, 10% other
*Majority of invention disclosures in nascent stage (proof of concept - 45% or prototype - 37%)
*Patents often applied for after knowing commercial viability, licensed technologies often not protected by patents
*60% of universities said small companies more likely to take early stage technologies and large companies more likely to take late stage - small firms may have advantage in "innovative" research (Holmstrom 1989)
*TTOs obtain smaller upfront fees the more uncertain the technology being licensed is
*Universities usually do not take equity in the license

Regression of licensing outcomes

[[File:LicensingOutcomeReg.png|500px]]

*Dependent variables: royalties, sponsored research, patents (new applications), licenses executed
*Independent variables: importance of outcome to TTO, types of inventions, measure of size of university's licensing operation/potential
*Logs of all variables except indicator variables
*Probit for frequency of sponsored research
*INVDIS: number of disclosures
*TTOSIZE: number of licensing individuals
*TTOEVAL_1 = 1: if TTOs that said licenses/patents are "not very important"
*TTOEVAL_2 = 1: if TTOs that said licenses/patents are "moderately important"
*PROOF: % of licensed disclosures that were "proof of concept but no prototype"
*PTYPE: "Prototype available but only lab scale"
*MEDSCHL: 1 if med school exists
*QUAL: academic quality of faculty (1993 NRC's survey results of academic quality of Ph.D. granting departments)
*LICENSES: number of licenses executed
*SPONRES: amount of sponsored research
*SPONFREQ: frequency that sponsored research is tied to license (according to TTO)
*patent apps grow 1-to-1 with disclosures
*sponsored research grows with licenses executed
*more licenses executed at universities with large TTOs and med schools
*higher royalties with higher quality of faculty and higher fraction of licenses executed at later stages of development
*additional disclosures generate smaller % increases in licenses, which generate smaller % increases in royalties (TTOs generally effective at tapping pool of available technologies in their universities)

===Thursby, J., Fuller, Thursby, M.: US Faculty Patenting: Inside and Outside the University (2009)===

[http://www.nber.org/papers/w13256.pdf]

@article{thursby2009us,
title = "US Faculty Patenting: Inside and Outside the University",
author = "Jerry G. Thursby, Anne W. Fuller, and Marie C. Thursby",
journal={Research Policy},
volume={38},
number={1},
pages={14--25},
year={2009},
publisher={Elsevier},
abstract = {This paper examines the empirical anomaly that in a sample of 5811 patents on which US faculty are listed as inventors, 26% of the patents are assigned solely to firms rather than to the faculty member's university as is dictated by US university employment policies or the Bayh Dole Act. In this paper we estimate a series of probability models of assignment as a function of patent characteristics, university policy, and inventor fields in order to examine the extent to which outside assignment is nefarious or comes from legitimate activities, such as consulting. Patents assigned to firms (whether established or start-ups with inventor as principal) are less basic than those assigned to universities suggesting these patents result from faculty consulting. A higher inventor share increases the likelihood of university assignment as compared with assignment to a firm in which the inventor is a principal but it has no effect on consulting with established firms versus assignment to the university. Faculty in the physical sciences and engineering are more likely to assign their patents to established firms than those in biological sciences.},
filename={Thursby et al (2009) - US Faculty Patenting},
}

*only 62.4% of patents by university faculty members of 87 universities were assigned solely to universities
*identifying US university patents by institutional assignment misses significant percentage of faculty innovation in US universities
*higher inventor share increases likelihood of university assignment compared with assignment to a firm where inventor is principal
*possibilities: faculty in low share universities may be more willing to seek outside remuneration via assignment to start-up where they are principal; revenue shares may not affect startup activity but simply reduce number of inventions disclosed to university

Sources
*Faculty names from NRC
*Compared with inventor names in NBER Patent Database
*Excluded faculty who do not patent

Patent/Inventor Pairs
*MIT: 315
*Wisconsin: 232
*Stanford: 223
*UC San Diego: 216
*UC Berkeley: 207

Out of 5811 patents:
*1513 assigned solely to firms
*241 assigned to both firms and universities
*327 unassigned
*faculty are principals in assignee firms for 32.3% of patents assigned solely to firms and 24% of patents assigned to both (lower bound)

=== Valdivia: University Start-ups: Critical for Improving Technology Transfer (2013) ===

[https://www.brookings.edu/wp-content/uploads/2016/06/Valdivia_Tech-Transfer_v29_No-Embargo.pdf]

*Current emphasis on licensing patents, but most university TTOs do not generate enough to cover operating expenses
*Asymmetry in distribution of resources across the university system, only a few universities benefit from high licensing revenues
**top 8 universities took 50% of licensing income, top 16 universities took nearly 75% of income
**only 37 universities have been in the top 20 during the last decade (listed in University Patents > LicensingGrossIncome2003-2012.txt)
*Universities face much more pressure to demonstrate the economic impact of their R&D contracts
**97.6% of total public contracts obtained by universities are for basic/applied research
**2% of university research delivers ready-to-use technologies
**academic research is much more dependent on government funding than industry research is
*Government pressure for universities to be more responsive to market forces, more entrepreneurial, more attuned to needs of industry
*TTOs are costly to universities
*1979: 30 universities with TTO -> 1999: 174 universities (AUTM)
*2010: 206 US universities have very high or high research activity, all with TTOs (but not all report to AUTM) (Carnegie Classification of Higher Education)
*Over last 20 years, 87% of universities did not break even
*Clash between aims of university (non-profit) and TTO (essentially a business unit)
*By nurturing start-ups, TTOs can add most economic value to an invention disclosure
*2003: universities initiated 330 startups, 2012: 647 startups
*2012: 3715 operating university startups, almost double the number in 2000 (AUTM 2013)
*Startups mitigate financial risk by reducing reliance on blockbuster patents, increase diversification of portfolio
*Policy proposal: the government should increase funding for Small Business Technology Transfer Program (directed to university start-ups)
**H.R.2981: reapportions STTR funds at 0.05% in the next 2 years and 0.1% henceforth for university enterprises at proof of concept stage
*Should increase portion that agencies set aside for STTR
**STTR should have Phase III like SBIR to fund commercialization efforts
*Need equitable distribution across university system

=== The Bayh-Dole Act and High-Technology Entrepreneurship in U.S. Universities: Chicken, Egg, or Something Else? (2004) ===

[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.484.1612&rep=rep1&type=pdf]

==== Findings ====

* University research has an unusually significant impact on industrial innovation in the biomedical sector
* " This work also suggests that academic research rarely produces “prototypes” of inventions for development
and commercialization by industry—instead, academic research informs the methods and disciplines
employed by firms in their R&D facilities."
* The U.S. higher education system is much larger and more heterogenous than other developed countries - this encourages competition
* The passage of the Bayh-Dole Act was one part of a broader shift in U.S. policy toward stronger
intellectual property rights
* "Universities increased their share of patenting from less than 0.3% in 1963 to nearly 4% by 1999, but the rate of growth in this share begins to accelerate before rather than after 1980."
* "the Act's provisions expressed Congressional support for the negotiation of exclusive licenses between universities and industrial firms for the results of federally funded research"
* licensing revenues account for only a miniscule portion of universities' overall academic budgets
* the acceleration in growth of patenting and licensing began before the passage of the Bayh-Dole Act so this acceleration cannot be wholly attributed to the Act
* "the flow of knowledge and technology between university and industrial research is a two-way flow," despite previous characterization as wholly from academia to industry
* patents seem to be "especially important channels for technology transfer" in the biomedical sector

==== Data Sources ====
* 5 different case studies
1. Cotransformation: a process to transfer genes into mammalian cells (Columbia University).

2. Gallium Nitride: a semiconductor with both military and commercial applications (University of California).

3. Xalatan: a glaucoma treatment (Columbia University).

4. Ames II Tests: a bacteria assay for testing potential carcinogenic properties of pharmaceuticals and cosmetics (University of California).

5. Soluble CD4: a prototype for a drug to fight AIDS (Columbia University).

==== Critiques ====
* focuses on case studies as source of data

===Dornbusch, Schmoch, Schulze, Bethke: Identification of University-Based Patents: A New Large-Scale Approach (2012)===

[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.722.1368&rep=rep1&type=pdf]

Specific for German case, but certain points can help us

European convergence to US model (Bayh-Dole seen as main driver behind growing patent portfolios of US universities)

*University-owned patents (assigned to universities or their TTOs) and university-invented patents (assigned to university-affiliated authors)

*matching lists: matching lists of university staff/professors with inventor data
**time-consuming, costly, possibly not updated
**typically limited to tenured professors
**does not include Ph.D. students, assistants, lecturers
*matching authors of scientific publications and inventors on patents
**beware of homonyms

=== Singh A. and Wong P.K: University patenting activities and their link to the quantity and quality of scientific publications (2009) ===

[https://pdfs.semanticscholar.org/bb3a/df09ca693cdcff6c1f6aaf18113cabec2655.pdf]
==== Findings ====
* patenting by 281 leading world universities has consistently grown faster than general American patenting from 1977 - 2000
* North American university patenting growth has slowed relative to universities outside North America since the mid-1990s
* Between 2003-2005, they found that university patenting output has significant correlation with the both the quality and quantity of scientific publishing in North America
* In European and Australian universities, patenting correlated only with the quantity of scientific publishing, not with the quality
* In universities Europe, Australia, and North America, patenting correlated only with the quality of scientific publishing

==== Data Sources ====
* USPTO Patenting Data
* Shanghai Jia Tong University's Academic Ranking of World Universities (ARWU)
* Times Higher Education Supplement's World University Ranking (WUR)
* Quantity was measured by counts of publications
* Quality was measured by citations to said publications
* the relationship between research and patenting was evaluated in two ways
** At the institutional level: patents assigned to universities
** At the individual level: patents with university researchers as the inventors

==== Critiques ====
* citations are not really a perfect measure of research quality and citations have little to do with practical use of the study (i.e. how much technological innovation is generated as a result of academic research publications)

==== Other Discoveries ====

* Study by Landry R., Amara N., and Saihi, M. (2006)
* (Owen Smith and Powell 2003) found that "organizations involved in technological commercialization tend to have higher publication rates than those who are not"
* (Lach and Schankerman 2003) found that "licensing revenues at the university level are positively influenced by publication citations per faculty"

University Patents

2017-02-22T17:31:10Z

Meghanapannala: /* Project Overview */

{{McNair Projects
|Project Title=University Patents,
|Topic Area=Patents and Innovation,
|Owner=Julia Wang,
|Keywords=Patent,
}}

==Project Overview==
Goal: list of all universities and # of patents each university and patent licensing

patent reassignment to startups associated with these universities

clinical trials (from Catherine) data to rank universities R&D engagement

identify list of universities: board of regents, universities in patent data (find patterns associated with university assignees) -- @Julia: Where did we get this list? I'd love to be able filter by country - Meghana

AUTM?

==What to get from other people==

Avesh has clinical trial data on wiki and bulk drive (FDA Trials Data), need to build it into normal form, use clinical trials data to rank R&D engagement of universities, will be building up portfolios of different types of companies

Marcela is cleaning up patent data, has given patent assignee names

Catherine has zip codes of medical centers, use to look through patent data

==Wish List==

*List of university-affiliated startups
*data about TTOs (# and quality of employees)

==Questions==
*How innovative are universities compared to publicly-traded firms, etc.? (firms: 100 active patents at any given time)
*How do universities license?
*What does the average portfolio look like for universities? (compared to publicly traded, VC-backed, etc)
*What can explain the differences in rankings? (size, quality of universities, TTOs and quality/experience of workers - searched LinkedIns, geography, entrepreneurship programs, NIH/NSF grants)

==To Do==

1. lit review (look at for 1-2 days), look for holistic picture, what has/hasn’t been done? what are the questions people are asking?

2. look at patent data, determine how to find universities in patent database: board of regents, universities in patent data (find patterns associated with university assignees)

==Lit Reviews==

===Thursby, J. & Thursby, M.: Who Is Selling the Ivory Tower? Sources of Growth in University Licensing (2002)===

[http://pubsonline.informs.org/doi/pdf/10.1287/mnsc.48.1.90.14271]

@article{thursby2002who,
title={Who Is Selling the Ivory Tower? Sources of Growth in University Licensing},
author={Thursby, Jerry G. and Thursby, Marie C.},
journal={Management Science},
volume={48},
number={1},
pages={90--104},
year={2002},
publisher={INFORMS},
filename={Thursby Thursby (2002) - Who Is Selling the Ivory Tower}
}

*Reliance of industry on university inventions has increased
**AUTM surveys show 7.1% growth in yearly inventions disclosure from 1994-1998 for 64 universities that responded every year
*Primary reason for more disclosures may be increased propensity for faculty to disclose, rather than change in research focus
*Universities becoming more receptive to industry contracts
*Negative total TFP growth of licenses executed (-1.7% annual growth) - growth in disclosures and patent applications greater than the corresponding growth in licenses executed.
**Marginal university innovation offered to the market has declined in commercial appeal
**Universities are delving more deeply into the available pool of innovations to increase commercial activities
*No evidence on the importance of learning by doing on the part of TTOs except to note negative association between TTO growth and TFP growth in licensing
**Suggests at least the possibility of learning by doing effects

'''Other literature'''

*On the role of patents and publications in the transfer process: Adams 1990, Henderson et al. 1998, and Jaffe et al. 1993
*On consulting, sponsored research or institutional ties: Cohen et al. 1998; Mansfield 1995; Zucker et al. 1994, 1998
*On the nature of university licensing: Jensen and Thursby 2001, Mowery et al. 2001a,b, Mowery et al. 2001, Siegel et al. 1999, Thursby et al. 2001, Thursby and Kemp 2001

===Thursby, J., Jensen, Thursby, M.: Objectives, Characteristics and Outcomes of University Licensing: A Survey of Major U.S. Universities (2001)===

[https://pdfs.semanticscholar.org/637f/048c05ee83eb84a914f69e087f52acea1b6c.pdf]

@article{thursby2001objectives,
title={Objectives, Characteristics and Outcomes of University Licensing: A Survey of Major U.S. Universities},
author={Thursby, Jerry G., Jensen, Richard, and Thursby, Marie C.},
journal={The Journal of Technology Transfer},
volume={26},
number={1},
pages={59--72},
year={2001},
publisher={Springer},
abstract={This paper describes results of our survey of licensing at 62 research universities. We consider ownership, income splits, stage of development, marketing, license policies and characteristics, goals of licensing and the role of the inventor in licensing. Based on these results we analyze the relationship between licensing outcomes and both the objectives of the TTO and the characteristics of the technologies. Patent applications grow one-to-one with disclosures, while sponsored research grows similarly with licenses executed. Royalties are typically larger the higher the quality of the faculty and the higher the fraction of licenses that are executed at latter stages of development. Sponsored research is more likely to be included in a license if the new technology is at an early stage of development or if the TTO evaluates it as important. We find that additional disclosures generate smaller percentage increases in licenses, and those increases in licenses generate smaller percentage increases in royalties.},
filename={Thursby et al (2001) - Objectives, Characteristics and Outcomes of University Licensing}
}

*University licensing has increased dramatically post-Bayh-Dole (1980)
**According to AUTM 1996, licenses executed increased 75% from 1991-1996, (total: 13,087)
*Survey of TTOs of 62 major US universities
**Majority of universities retain titles to inventions
**All universities split income with inventors
**Royalties generate most of the revenue of licensing

*Open question: Is the increased propensity of faculty to disclose a response to financial incentives or an increase in the effectiveness of TTOs in inducing disclosure?

Survey
*62/135 universities responded
*63% public, and 62% of public universities that responded were land-grant
*37% private
*average industry sponsored research $16.9 mil, federally sponsored $149.6 mil (1996)
*average TTO: 26.3 licenses executed, 92.3 invention disclosures, 30.1 new patent apps, $4.2 mil income (1996)
*35% of respondents had reorganized TTO since 1990
*90% of universities allow faculty to establish and operate businesses based on technology owned by university but developed in faculty's research
*Inventions disclosed: 33% med schools, 29% engineering, 22% science, 6% agriculture, 10% other
*Majority of invention disclosures in nascent stage (proof of concept - 45% or prototype - 37%)
*Patents often applied for after knowing commercial viability, licensed technologies often not protected by patents
*60% of universities said small companies more likely to take early stage technologies and large companies more likely to take late stage - small firms may have advantage in "innovative" research (Holmstrom 1989)
*TTOs obtain smaller upfront fees the more uncertain the technology being licensed is
*Universities usually do not take equity in the license

Regression of licensing outcomes

[[File:LicensingOutcomeReg.png|500px]]

*Dependent variables: royalties, sponsored research, patents (new applications), licenses executed
*Independent variables: importance of outcome to TTO, types of inventions, measure of size of university's licensing operation/potential
*Logs of all variables except indicator variables
*Probit for frequency of sponsored research
*INVDIS: number of disclosures
*TTOSIZE: number of licensing individuals
*TTOEVAL_1 = 1: if TTOs that said licenses/patents are "not very important"
*TTOEVAL_2 = 1: if TTOs that said licenses/patents are "moderately important"
*PROOF: % of licensed disclosures that were "proof of concept but no prototype"
*PTYPE: "Prototype available but only lab scale"
*MEDSCHL: 1 if med school exists
*QUAL: academic quality of faculty (1993 NRC's survey results of academic quality of Ph.D. granting departments)
*LICENSES: number of licenses executed
*SPONRES: amount of sponsored research
*SPONFREQ: frequency that sponsored research is tied to license (according to TTO)
*patent apps grow 1-to-1 with disclosures
*sponsored research grows with licenses executed
*more licenses executed at universities with large TTOs and med schools
*higher royalties with higher quality of faculty and higher fraction of licenses executed at later stages of development
*additional disclosures generate smaller % increases in licenses, which generate smaller % increases in royalties (TTOs generally effective at tapping pool of available technologies in their universities)

===Thursby, J., Fuller, Thursby, M.: US Faculty Patenting: Inside and Outside the University (2009)===

[http://www.nber.org/papers/w13256.pdf]

@article{thursby2009us,
title = "US Faculty Patenting: Inside and Outside the University",
author = "Jerry G. Thursby, Anne W. Fuller, and Marie C. Thursby",
journal={Research Policy},
volume={38},
number={1},
pages={14--25},
year={2009},
publisher={Elsevier},
abstract = {This paper examines the empirical anomaly that in a sample of 5811 patents on which US faculty are listed as inventors, 26% of the patents are assigned solely to firms rather than to the faculty member's university as is dictated by US university employment policies or the Bayh Dole Act. In this paper we estimate a series of probability models of assignment as a function of patent characteristics, university policy, and inventor fields in order to examine the extent to which outside assignment is nefarious or comes from legitimate activities, such as consulting. Patents assigned to firms (whether established or start-ups with inventor as principal) are less basic than those assigned to universities suggesting these patents result from faculty consulting. A higher inventor share increases the likelihood of university assignment as compared with assignment to a firm in which the inventor is a principal but it has no effect on consulting with established firms versus assignment to the university. Faculty in the physical sciences and engineering are more likely to assign their patents to established firms than those in biological sciences.},
filename={Thursby et al (2009) - US Faculty Patenting},
}

*only 62.4% of patents by university faculty members of 87 universities were assigned solely to universities
*identifying US university patents by institutional assignment misses significant percentage of faculty innovation in US universities
*higher inventor share increases likelihood of university assignment compared with assignment to a firm where inventor is principal
*possibilities: faculty in low share universities may be more willing to seek outside remuneration via assignment to start-up where they are principal; revenue shares may not affect startup activity but simply reduce number of inventions disclosed to university

Sources
*Faculty names from NRC
*Compared with inventor names in NBER Patent Database
*Excluded faculty who do not patent

Patent/Inventor Pairs
*MIT: 315
*Wisconsin: 232
*Stanford: 223
*UC San Diego: 216
*UC Berkeley: 207

Out of 5811 patents:
*1513 assigned solely to firms
*241 assigned to both firms and universities
*327 unassigned
*faculty are principals in assignee firms for 32.3% of patents assigned solely to firms and 24% of patents assigned to both (lower bound)

=== Valdivia: University Start-ups: Critical for Improving Technology Transfer (2013) ===

[https://www.brookings.edu/wp-content/uploads/2016/06/Valdivia_Tech-Transfer_v29_No-Embargo.pdf]

*Current emphasis on licensing patents, but most university TTOs do not generate enough to cover operating expenses
*Asymmetry in distribution of resources across the university system, only a few universities benefit from high licensing revenues
**top 8 universities took 50% of licensing income, top 16 universities took nearly 75% of income
**only 37 universities have been in the top 20 during the last decade (listed in University Patents > LicensingGrossIncome2003-2012.txt)
*Universities face much more pressure to demonstrate the economic impact of their R&D contracts
**97.6% of total public contracts obtained by universities are for basic/applied research
**2% of university research delivers ready-to-use technologies
**academic research is much more dependent on government funding than industry research is
*Government pressure for universities to be more responsive to market forces, more entrepreneurial, more attuned to needs of industry
*TTOs are costly to universities
*1979: 30 universities with TTO -> 1999: 174 universities (AUTM)
*2010: 206 US universities have very high or high research activity, all with TTOs (but not all report to AUTM) (Carnegie Classification of Higher Education)
*Over last 20 years, 87% of universities did not break even
*Clash between aims of university (non-profit) and TTO (essentially a business unit)
*By nurturing start-ups, TTOs can add most economic value to an invention disclosure
*2003: universities initiated 330 startups, 2012: 647 startups
*2012: 3715 operating university startups, almost double the number in 2000 (AUTM 2013)
*Startups mitigate financial risk by reducing reliance on blockbuster patents, increase diversification of portfolio
*Policy proposal: the government should increase funding for Small Business Technology Transfer Program (directed to university start-ups)
**H.R.2981: reapportions STTR funds at 0.05% in the next 2 years and 0.1% henceforth for university enterprises at proof of concept stage
*Should increase portion that agencies set aside for STTR
**STTR should have Phase III like SBIR to fund commercialization efforts
*Need equitable distribution across university system

=== The Bayh-Dole Act and High-Technology Entrepreneurship in U.S. Universities: Chicken, Egg, or Something Else? (2004) ===

[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.484.1612&rep=rep1&type=pdf]

==== Findings ====

* University research has an unusually significant impact on industrial innovation in the biomedical sector
* " This work also suggests that academic research rarely produces “prototypes” of inventions for development
and commercialization by industry—instead, academic research informs the methods and disciplines
employed by firms in their R&D facilities."
* The U.S. higher education system is much larger and more heterogenous than other developed countries - this encourages competition
* The passage of the Bayh-Dole Act was one part of a broader shift in U.S. policy toward stronger
intellectual property rights
* "Universities increased their share of patenting from less than 0.3% in 1963 to nearly 4% by 1999, but the rate of growth in this share begins to accelerate before rather than after 1980."
* "the Act's provisions expressed Congressional support for the negotiation of exclusive licenses between universities and industrial firms for the results of federally funded research"
* licensing revenues account for only a miniscule portion of universities' overall academic budgets
* the acceleration in growth of patenting and licensing began before the passage of the Bayh-Dole Act so this acceleration cannot be wholly attributed to the Act
* "the flow of knowledge and technology between university and industrial research is a two-way flow," despite previous characterization as wholly from academia to industry
* patents seem to be "especially important channels for technology transfer" in the biomedical sector

==== Data Sources ====
* 5 different case studies
1. Cotransformation: a process to transfer genes into mammalian cells (Columbia University).

2. Gallium Nitride: a semiconductor with both military and commercial applications (University of California).

3. Xalatan: a glaucoma treatment (Columbia University).

4. Ames II Tests: a bacteria assay for testing potential carcinogenic properties of pharmaceuticals and cosmetics (University of California).

5. Soluble CD4: a prototype for a drug to fight AIDS (Columbia University).

==== Critiques ====
* focuses on case studies as source of data

===Dornbusch, Schmoch, Schulze, Bethke: Identification of University-Based Patents: A New Large-Scale Approach (2012)===

[http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.722.1368&rep=rep1&type=pdf]

Specific for German case, but certain points can help us

European convergence to US model (Bayh-Dole seen as main driver behind growing patent portfolios of US universities)

*University-owned patents (assigned to universities or their TTOs) and university-invented patents (assigned to university-affiliated authors)

*matching lists: matching lists of university staff/professors with inventor data
**time-consuming, costly, possibly not updated
**typically limited to tenured professors
**does not include Ph.D. students, assistants, lecturers
*matching authors of scientific publications and inventors on patents
**beware of homonyms

=== Singh A. and Wong P.K: University patenting activities and their link to the quantity and quality of scientific publications (2009) ===

[https://pdfs.semanticscholar.org/bb3a/df09ca693cdcff6c1f6aaf18113cabec2655.pdf]
==== Findings ====
* patenting by 281 leading world universities has consistently grown faster than general American patenting from 1977 - 2000
* North American university patenting growth has slowed relative to universities outside North America since the mid-1990s
* Between 2003-2005, they found that university patenting output has significant correlation with the both the quality and quantity of scientific publishing in North America
* In European and Australian universities, patenting correlated only with the quantity of scientific publishing, not with the quality
* In universities Europe, Australia, and North America, patenting correlated only with the quality of scientific publishing

==== Data Sources ====
* USPTO Patenting Data
* Shanghai Jia Tong University's Academic Ranking of World Universities (ARWU)
* Times Higher Education Supplement's World University Ranking (WUR)
* Quantity was measured by counts of publications
* Quality was measured by citations to said publications
* the relationship between research and patenting was evaluated in two ways
** At the institutional level: patents assigned to universities
** At the individual level: patents with university researchers as the inventors

==== Critiques ====
* citations are not really a perfect measure of research quality and citations have little to do with practical use of the study (i.e. how much technological innovation is generated as a result of academic research publications)

==== Other Discoveries ====

* Study by Landry R., Amara N., and Saihi, M. (2006)
* (Owen Smith and Powell 2003) found that "organizations involved in technological commercialization tend to have higher publication rates than those who are not"
* (Lach and Schankerman 2003) found that "licensing revenues at the university level are positively influenced by publication citations per faculty"

Meghana Pannala (Work Log)

2017-02-20T21:09:05Z

Meghanapannala:

Meghana Pannala (Work Log)

2017-02-20T21:07:05Z

Meghanapannala:

Work Logs

2017-02-20T21:06:37Z

Meghanapannala: /* Content */

[[Category: McNair Admin]]

Work Logs are broken down within two divisions of McNair Center, the long-term deliverables of academic papers and short-term deliverables of general content. Individuals working within a division will be listed under the respective one. In case an individual works within both divisions, they will be listed in both locations.

=Academic Papers=

This division of the McNair Center pursues longer term projects, such as peer-reviewed academic papers.

==Jake Silberman==
{{:Jake Silberman (Work Log)}}

==Will Cleland==
{{:Will Cleland (Work Log)}}

==Todd Rachowin==
{{:Todd Rachowin (Work Log)}}

==Amir Kazempour==
{{:Amir Kazempour (Work Log)}}

=Content=

This division of the McNair Center focuses on shorter term projects, including blog posts, tweets, and issue briefs.

==Dylan Dickens==
{{:Dylan Dickens (Work Log)}}

9/23/2016 2:00-4:30 Introductory explanation/exploration, helped Catherine find source for Ed

9/26/2016 2:00-4:00 Began research for blog post about largely unknown entrepreneurial hubs, checked links on McNair Center blog

9/27/2016 4:00-6:00 Set up personal and work log pages, researched for blog post

==Eliza Martin==
{{:Eliza Martin (Work Log)}}

==Meghana Gaur==
{{:Meghana Gaur (Work Log)}}

==Marcela Interiano==
{{:Marcela Interiano (Work Log)}}

==Veeral Shah==
{{:Veeral Shah (Work Log)}}

==Ariel Sun==
{{:Ariel Sun (Work Log)}}

==Gunny Liu==
{{:Gunny Liu (Work Log)}}

[[admin_classification::General Information|:General Information]]

==Ben Baldazo==

{{:Ben Baldazo (Work Log)}}

==Shoeb Mohammed==
{{:Shoeb Mohammed (Work Log)}}

==James Chen==
{{:James Chen (Work Log)}}

==Albert Nabiullin==
{{:Albert Nabiullin (Work Log)}}

==Carlin Cherry==
{{:Carlin Cherry (Work Log)}}

==Julia Wang==
{{:Julia Wang (Work Log)}}

==Ramee Saleh==
{{:Ramee Saleh (Work Log)}}

==Avesh Krishna==
{{:Avesh Krishna (Work Log)}}

==Shrey Agarwal==
{{:Shrey Agarwal (Work Log)}}

==Tay Jacobe==
{{:Tay Jacobe (Work Log)}}

==Matthew Ringheanu==
{{:Matthew Ringheanu (Work Log)}}

== Meghana Pannala ==
{{: Meghana Pannala (Work Log)}}

=Technical=
==Harsh==
{{:Harsh Upadhyay (Work Log)}}

==Peter Jalbert==
{{:Peter Jalbert (Work Log)}}

=Administrative=
==Su Chen Teh==
{{:Su Chen Teh (Work Log)}}

=Archive=

This is the work log for archived members.

Meghana Pannala (Work Log)

2017-02-20T21:05:49Z

Meghanapannala: Created page with "Category: Work Log Category: Internal Meghana Pannala Work Logs (log page)"

[[Category: Work Log]]
[[Category: Internal]]

[[Meghana Pannala]] [[Work Logs]] [[Meghana Pannala (Work Log)|(log page)]]

Meghana Pannala

2017-02-20T21:04:40Z

Meghanapannala:

{{McNair Staff
|position=Research Team
|name=Meghana Pannala
|user_image=MeghanaP_picture.jpg
|degree=BA
|major=CAAM; MTEC
|class=2018
|join_date=2/08/2017
|skills=MATLAB, Python, R
|interests=Public Policy, Trivia, Science
|fun_fact=Learned to ride a motorcycle at age 13!
|email=mrp10@rice.edu
|status=Active
}}
Meghana is a 21 year old student at Rice University currently working as a Research Assistant for the James A. Baker III Institute for Public Policy's McNair Center for Entrepreneurship and Innovation.
==Biography==
Meghana was born in Hyderabad, India and immigrated, with her family, to the United States when she was three years old. Since then, she has lived in six different states: Ohio, California, Pennsylvania, Maine, Virginia, and Texas. She currently considers the Virginia suburbs of Washington, D.C. her home, where she lives with her parents and one younger sister.
==Education==
In Virginia, Meghana attended the Loudoun County Academy of Science, a magnet STEM high school, where she gained a passion for mathematics. She now studies both economics and applied mathematics as a third-year undergraduate at Rice University. She has a particular interest in macroeconomics, and optimization.

==Experience==

At Rice, Meghana spends her free time mentoring refugee youth, getting involved at her residential college, Lovett, and planning Rice's annual TEDx conference.

==Time at McNair==

[[Meghana Pannala (Work Log)]]

[[category:McNair Staff]]

Meghana Pannala

2017-02-20T20:59:13Z

Meghanapannala: /* Experience */

University Patents

2017-02-17T23:31:06Z

Meghanapannala: /* Dornbusch, Schmoch, Schulze, Bethke: Identification of University-Based Patents: A New Large-Scale Approach (2012) */

University Patents

2017-02-17T23:30:42Z

Meghanapannala: /* Dornbusch, Schmoch, Schulze, Bethke: Identification of University-Based Patents: A New Large-Scale Approach (2012) */

University Patents

2017-02-17T23:30:07Z

Meghanapannala: /* Singh A. and Wong P.K: University patenting activities and their link to the quantity and quality of scientific publications (2009) */

University Patents

2017-02-17T23:08:47Z

Meghanapannala: /* Data Sources */

University Patents

2017-02-17T23:08:30Z

Meghanapannala: /* Data Sources */

University Patents

2017-02-17T23:07:56Z

Meghanapannala: /* Data Sources */