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Here*Columns N-R contain our new data. Please note that all of these columns are based on formulas and will be made erroneous if edited.*Column N is the # of weeks for an accelerator program, gathered via VLookup from The File to Rule Them All.*Column O is the Actual Date we want to record, and was gathered by subtracting the # of weeks from a date '''if'''s the listed page was a project update on '''recap'''.*Columns P and Q are the Month and Years stripped from Column O.*Finally, Column R is the work that has been done since coming to McNairseason variable, as Ed said it should be coded.
===The Equity Variables: COMPLETE===We have also gone through and removed all bad data, all duplicates, and all rows without timing info. These is the most complete list possible.
==An Overview==This project will information can be used to determine which accelerators are found in the most effective at churning out successful startups, as well as what characteristics are exhibited by these accelerators. First, we need to gather as much data as we can about as many accelerators as we can various '''Founders''' sheets in order to look at factors that differentiate successful vs. unsuccessful ventures. Next, we need to create a web crawling program which will gather information about accelerators across the world by accessing their websites and extracting information. I believe that our overall goal with this research project is to gain insight into the methods of successful accelerators, as well as '''The File to find out what exactly differentiates very successful accelerators from dead acceleratorsRule Them All'''.
Helpful Links: ===Finding Company URLs===See http://seedrankingsmcnair.bakerinstitute.comorg/wiki/URL_Finder_(Tool)#Summer_2018_URL_Finder_work for more details.
This project is developing broad and near-population data ===Seed DB Parser===See [[Seed DB Parser]] for information on accelerators and their cohort companies. The objective is to identify which cohorts of which accelerators a cohort company was trained in, obtain details of the accelerators, and obtain details of the cohort companies, including information about any venture capital investment that the cohort company might have received and any IPO or acquisition the company may have experiencedfunctionality.
However, this ==An Overview==This project can also provide useful data will be used to other academic papers ([[Urban Start-up Agglomeration]]determine which accelerators are the most effective at churning out successful startups, [[Hubs (Academic Paper)]]as well as what characteristics are exhibited by these accelerators. First, and [[Hubs Scorecard (Academic Paper)]])we need to gather as much data as we can about as many accelerators as we can in order to look at factors that differentiate successful vs. unsuccessful ventures. Next, projects ([[Houston Entrepreneurship]]) we need to create a web crawling program which will gather information about accelerators across the world by accessing their websites and blog posts (under extracting information. I believe that our overall goal with this research project is to gain insight into the [[Emerging Ecosystems]] umbrella project)methods of successful accelerators, as well as to find out what exactly differentiates very successful accelerators from dead accelerators.
(OUTDATED) The most recent update provided on [[Accelerator Seed List (Data)]] was on 05/21/2018. This update included the most recent '''master file''' of accelerator data, found at EHelpful Links://McNair/Projects/Accelerators/Summer 2018/Connor Accelerator Work/Accelerator Master Variable List - Revised by Ed V2.xlsx (OUTDATED) The Google Sheets Master Sheet is found here httpshttp://docs.googleseedrankings.com/spreadsheets/d/1ikuxYwp9JIRrjz4qQcbdwTpbHOne-q2PterYTjzofjw/edit?ts=5aa2f1f9#gid=0
TODO: McNair/Projects/Accelerators/Fall 2017/unfound_founders.txtA 0 means we don't have founder data for that accelerator.Specs: A tab delimited text file with the following fields: Accelerator First Name Last Name LinkedInURL(if possible)Getting the LinkedInURL will ensure accuracy, but will work without it. *Shrey: Find "demo day" keywords, so that we can search AcceleratorName Year Keyword and get back potential demo day pages It is unclear if any of these tasks have been done since the update on 05/21. I will begin by seeing which of these things have been carried out. ==Other Listed To Dos== *We have compiled a very long list of accelerators from many different databases. For the past couple of weeks, everyone in the center has been going through this list, 20 at a time, classifying each one as an accelerator or not an accelerator, and then proceeding to gather data on the accelerator using the process outlined below. This process went very smoothly. We have successfully gone through about 80% of the list. We are still missing information on the last hundred or so names. All of the collected data is located on the RDP, within the "Accelerators" folder under "Data" or on the [https://docs.google.com/spreadsheets/d/1ikuxYwp9JIRrjz4qQcbdwTpbHOne-q2PterYTjzofjw/edit?ts=5aa2f1f9#gid=1132417337 "Accelerator Master Variable List" Google sheet].*We have listed all of the startups from the accelerators that have break out cohorts on their website on the [https://docs.google.com/spreadsheets/d/1ikuxYwp9JIRrjz4qQcbdwTpbHOne-q2PterYTjzofjw/edit?ts=5aa2f1f9#gid=1132417337 "Accelerator Master Variable List" Google sheet]. This contains the following information in the "Cohort List (new)" sheet: accelerator name, year, cohort name, company name, description, founders, category/sector, and location. *Next steps include going through the demo day pages that have been downloaded and writing notes on the different types if possible (see [[Demo Day Page Google Classifier]]Outdated). ==Moving ForwardNecessary Steps==
no edit summary
{{Project|Has project output=Data,Tool|Has sponsor=McNair ProjectsCenter
|Has title=U.S. Seed Accelerators
|Has owner=Connor Rothschild,
|Does subsume=Accelerator Data, Accelerator Seed List (Data),
}}
<onlyinclude>The [[U.S. Seed Accelerators]] project subsumes several related projects. These projects were intended to assemble near-population data on high-growth high-tech seed accelerators in the U.S. and understand how to automate the data collection process. As such, the project includes both a dataset and prototypes. Some of the prototypes were used in the [[Kauffman Incubator Project]].</onlyinclude>
==Project Location==
The master file can be found at
/bulk/McNair/Projects/Accelerators/Summer 2018/'''The File to Rule Them All.xlsx'''
Note that TFTRTA-AcceleratorFinal.txt in E:\projects\accelerators was updated to included all creation dates and dead dates.
==Relevant Former Projects==
Both of these projects (and as a corollary, this project) are dependent on the [[Demo Day Page Parser]], [[Industry Classifier]], and the [[Whois Parser]].
==7Update for Hira== ===Final MTurk Push=== Minh and I pushed a final batch of HITs to MTurk. We found that, among our data even after MTurk, we were missing timing info for around 1000 companies. Upon further inspection, we realized that around 800 of these companies belonged to only ~10 accelerators. We think the problem was that Google searches most recent results first, so we missed out on old cohorts for large accelerators. We therefore re-ran Minh's crawler on these accelerators with different year parameters. We got 650 results. Upon pushing these to MTurk, we got good results for 144 companies. This number was the product of filtering out accelerators with no companies listed, no date listed, and no accelerator listed (after searching manually). We removed duplicates and removed accelerators we do not care about. The 144 companies collectively have 1,538 companies. This file can be found here: /bulk/McNair/Projects/Accelerators/Summer 2018/Final Turk Push.xlsx The next step is to plug this sheet into Grace's Python script which takes these companies and converts each company to its own row, so that it can be merged with our other data. ===Manual Searching=== For the other 170 companies we lacked timing info for (that were not worth crawling for because there were few companies assigned to each accelerator) McNair Center interns manually searched for timing info. Of the 170 companies we searched for, we found timing information for 128 of them. The sheet can be found here: https://docs.google.com/spreadsheets/d/1hGgxNwLph0tWtqO_8bNUGM-kzVXTeb-N26ojwL3TTuk/edit?usp=sharing And is ready to merge in with our existing data. ===Recoded Founders' Experience=== I have updated and reclassified Founders' job titles. We began with 451 unique job titles, and were able to condense them into 16 categories, which are:*Academic*Advisor*Board*C-level*CEO*Director*Founder*Investment*Management*Marketing*Partner*President*VP*Other The formulas used to recode, the old data, and the newest, updated data can be found on this Google Sheet: https://docs.google.com/spreadsheets/d/179ML4c1cO_1zooCGj4yjuXXUPwTDKZu52656_8uoNig/edit?usp=sharing This has been merged into the File to Rule Them All. ===Recoded Stage=== I have updated and cleaned up the "what stage accs look for companies in" by splitting it up into three categories:*seed*early stage venture*late Other classifications were collapsed into these three or were not significant (n<2) enough to be coded as a classification. The Google Sheet used to recode the stage variable can be found here: https:/9/18 Updatedocs.google.com/spreadsheets/d/1G_XbIrHB6YOU5tWs0dqZot6_eJLDsp-nxoAIuHM9_Yc/edit?usp=sharing It has been merged into The File To Rule Them All. ===Recoded Dead Accelerators=== We have updated dead accelerators on the following Google Sheet https://docs.google.com/spreadsheets/d/1_mZ8QgEXwSoTeyVbiEg2ZfoQukvCHfr0NKSk2QMGYnI/edit?usp=sharing This has been merged this into The File To Rule Them All. ===Recoded Equity/Investment=== The Google Sheet with this work is here: https://docs.google.com/spreadsheets/d/1xFlFR1OAoHY4XgesB8ZAugL99DgT0OehxIEzcmYuMB8/edit?usp=sharing It has also been merged into The File To Rule Them All. I have updated equity from data from https://www.seed-db.com/accelerators. I have also updated the columns with a new normalized version of investment. Within the File To Rule Them All, you will find two normalizations of investment:*the midpoint normalization, used by taking an average of the accelerators' investment ranges.*the upper bound normalization, used by taking an average of the highest amount accelerators will invest. This dual normalization was performed because many accelerators say they invest "Up to $__,___" so a midpoint may not accurately reflect actual investment amounts. The average investment when using the midpoint is $40,164 and the average investment when using the upper limit is $48,313. '''NOTE: There may be one outlier to control for, as Boost VC says they offer **between $50,000 and $500,000**. This is a huge range and the upper limit of $500,00 may throw off our analysis. By removing Boost VC's investment amounts, the average using midpoint drops to $37,555 (~$3,000 less) and the average using upper limits drops to $43,293 (~$5,000 less). The distance between the two averages drops from ~$8,000 to ~$6,000. We should consider/discuss removing or controlling for Boost VC.''' ===Amazon Mechanical Turk Pricing===Information can be found here [http://mcnair.bakerinstitute.org/wiki/Accelerator_Demo_Day#Pricing] ===Recoded Founders Education=== I have recoded two components of the founders' education sheet: 1) Degree name has been reclassified into nine categories:*High School*Associates*Bachelors*Masters*Certificate*JD*MBA*PhD*Other 2) Majors have also been recoded into nine categories:*H = Humanities*SS = Social Sciences*NS = Natural Sciences*E = Engineering (includes computer science)*B = Business and Economics*L = Leadership*MBA*JD*O = Other The Google Sheet I used to reclassify can be found here: https://docs.google.com/spreadsheets/d/1XWtCTeaof8WxAuOCbn3XEFaK0sh-ZIif2JqcdbkH72I/edit?usp=sharing With the Sheets '''OLD''' containing old, outdated data, '''WORK''' containing the process/formulas of reclassifying, and '''Updated Info''' containing only good, updated data. The data has been merged into '''The File to Rule Them All'''. Old data has not yet been deleted but can at any time, considering we have it saved in the Google Sheet '''OLD''' (just wanted the go ahead from Hira or Ed). ===Recoded multiple campuses and cohorts=== The File to Rule Them All contains an updated address variable. 139 of our 166 accelerators have addresses that are available online. The ones we could not find information for are left blank. The collaborative sheet that Hira, Maxine, and I worked on to update this list can be accessed here: https://docs.google.com/spreadsheets/d/1nktgJZfm3L8IsSCHgYbPasSdvKb7QHKxZp8K5Si2iNo/edit?usp=sharing We have also added a new cohort list. Under The File To Rule Them All, the sheet '''Multiple Campuses''' contains the different locations for accelerators with multiple campuses. Column B can be used to filter out multiple location accelerators. ===Fixed Manual Data from Google Sheet=== We created a new sheet with only data we want to keep, and cleaned it up. That sheet is called "Good Data Only", at the same link: https://docs.google.com/spreadsheets/d/16Suyp364lMkmUuUmK2dy_9MeSoS1X4DfFl3dYYDGPT4/edit?usp=sharing I first used our "recap" and "announced" classification to standardize and fix the dates.
===Recoded employee count=== I have added a new column in Cohorts Final (of the File to Rule Them All) yet left the old column in case you would prefer to edit/classify differently.Column AB (emp_count_scale) contains a variable coded on a scale of 1 to 9, with each number corresponding to one of the employee_count classifications (1 the lowest, 9 the highest). The exact output can be modified (1 could instead be tiny, 2 be small... 9 be huge). The employee count column is standardized and can easily be edited given some modification of the Excel formula. ==Recent Work== Here's a project update on the work that has been done since coming to McNair. The most recent file is /bulk/McNair/Projects/Accelerators/Summer 2018/'''The File to Rule Them All.xlsx''' ===Merging Cohort Companies with Crunchbase Info=== More information on this part of the project can be found on the page [[Merging Existing Data with Crunchbase]]. The newest updated sheet of cohort company info is under the '''Cohorts Final''' sheet of '''The File to Rule Them All.xlsx'''. Working with [[Maxine Tao]], we have matched companies to their respective pages and information found in Crunchbase (via UUID). We ensured single matches by doing a 1-1-1-1 match with our data and with Crunchbase (using the Matcher). We then received additional information on 8092 companies. The following new information (on top of what we already had) is included in the sheet:*short_description*long_description*category_list (details the company's category)*category_group_list (a less refined, more all-encompassing category classification)*founded_on date*employee_count*linkedin_url*address And the following information was also pulled from Crunchbase and '''merged''' with our existing data: *URL (was merged with courl cells) *city (was merged with colocation)*state_code (was merged with colocation)*country_code (was merged with colocation)*status (was merged with costatus) ===The Equity Variables=== [[Maxine Tao]] and I have added five six new variables to the '''Accelerator Master Variable List - Revised by Ed V2Accelerators Final''' filesheet. Those variables are:
*Terms of joining - terms of joining accelerator and important details about program
*Investment Notes - anything to comment on previous 4 columns
These five six variables tell us more about the characteristics of accelerators; specifically, which ones take equity and which ones do not, and how much equity accelerators take.
Relevant information:
*The average % of equity among accelerators who take equity (rough estimate--do not use for anything official) is 6.49% (got this number by only looking at accelerators who take equity, averaging equity amount for accelerators who report a range (e.g. 4%-10% equity would be coded as 7% equity) and took mean.
===Matching Accelerators to UUIDs: COMPLETEvia Crunchbase=== We've also added UUIDs for 163 of our 166 accelerators. The UUIDs can be found in Column AE of the '''Accelerators Final''' sheet.
The file with accelerators matched to Crunchbase UUIDs can be found at:
This is the master file and should never be modified unless we find a UUID changed. ALL OTHER SHEETS with UUIDs are linked to this sheet so its changes will be reflected elsewhere.
More information can be found on the [[Crunchbase Data ]] page.
===Linking Accelerators to Founders/LinkedIn Crawling: COMPLETE===
[[Grace Tan]] got the [[LinkedIn Crawler (Python)]] to work, which means we currently have the following information about accelerator founders:
*Societies
The primary use of this data results from crawling Seed DB gave us more information for 257 companies. This is for an academic paper detailed on the [[Matching Entrepreneurs to Accelerators and VCs located in (Academic Papersheet: final)]] page: E:\McNair\Projects\Seed DB\merging work. xlsx
==Remaining To Dos==
**What stage do they look for?
'''Acquiring the necessary data to complete the Accelerator Master Variable List and the Cohort List will require the following (not necessarily in this order):'''
===Step Zero: Connect to Crunchbase and Link Data - COMPLETE===
Complete - more info: [[Crunchbase Data]]
===Step One: LinkedIn Founders Data===
