7,612
edits
Changes
Jump to navigation
Jump to search
Hubs Scorecard (Academic Paper) (view source)
Revision as of 14:43, 15 March 2017
, 14:43, 15 March 2017no edit summary
{{McNair ProjectsAcademicPaper|Project TitleHas title=Hubs Scorecard(Academic Paper)|Topic AreaHas author=Entrepreneurship EcosystemsEd Egan, Yael Hochberg|OwnerHas RAs=Todd Rachowin, Ariel Sun|Start Term=Summer 2016|Status=Active|Deliverable=Academic Paper|Audience=Academics|Keywords=Hubs, Incubators, Accelerators, Venture, Capital, Angel, Investor, Startups|Primary BillingHas paper status=AccNBER01Tabled
}}
=Abstract=
As of Spring 2016, a list of potential Hubs with a set of characteristics was created. Many of these are not what will be defined as Hubs. We will be creating a scorecard to help subjectively define Hubs based on certain characteristics.
#Collecting the remaining manual data (next step)
*For the detailed current work in progress for building the Hubs datasheet for the scorecard go to: [[Hubs: Hubs Scorecard]]
*For a tracker of work in progress for the dataset building for the scorecard go to [[Hubs: Hubs Data Building]]
*For a high-level overview of the variables for the scorecard go to [[Hubs: Hubs Data]]
##<code>E:\McNair\Projects\Hubs\Raw Program List</code> Contains 600 entities - vast majority are firmly not hubs (file pedigree unknown)
##<code>E:\McNair\Projects\Hubs\Hubs Data</code> - Contains 125 entities - many are not hubs (overlap with above file unknown, this file's pedigree from old Hubs project).
==Hubs Data==
'''(7/27 Onwards)'''
Collected variables for 30 hubs that are surely hubs. The results are here:
*<code>E:\McNair\Projects\Hubs\Hubs Variables -Ariel.xls</code>
'''(Until 7/27)'''
See [[Hubs: Hubs Scorecard]]
'''(Week of 7/11)'''
1) We published the twitter count on mechanical turk and received results.
2) We have audited the results and updated the amazon.
3) We are creating additional potential turks on the amazon site (See [[Hubs: Hubs Scorecard]])
4) We are finding more potential hubs from members of international national business innovation association
'''(Week of 7/4)'''
1) We have created the list and commented our thoughts after ---. For determining the variables, we have separated the list into two parts: a list of desired variables and ones that were previously collected, many of which are desired variables.
2) We have also created an example of how to write mechanical turks for collecting certain variables
==Variables to be Used==
Old variable list (see Hubs Data.xls) contains 18+3 variables. Overlap with new variable list is ~50%
===Current Complete List===
'''As of Week of 7/11'''
#Onsite Venture Capital
#*Assets Under Management
#*Number
#Onsite Angel Investors
#Onsite Mentors
#Founding Date
#Site URL
#Office hours investors
#Office hours mentor/advisors
#Onsite temporary workshops
#Networking Meetups
#Sponsors/Partners
#*University
#*Corporate
#Curriculum
#Onsite code school
#Alumni Network
#Nonprofit status
#Mission statement
#Specific Industry
#Price for a space
#Price for office
#Twitter activity
#Size (sqft)
#Size (# companies)
#Onsite accelerator
#Community membership??
#Franchise
#Multiple locations within city
===Grouping of Variables===
There are a few categories the majority of the variables fall under
'''Group 1: Low Hanging Fruit'''
Variables in this group are very easy to find and automate.
#Twitter Activity
#URL
#Address
#Mission Statement
#Specific Industry
#Nonprofit
#Sponsors/Partners
#Price for a space + office
#Founding Date
'''Group 2: The Difficult to Find'''
There are certain variables where the information is not readily available online or difficult to find.
#Size (can try to find press releases)
'''Group 3: In Between 1 and 2'''
Variables that aren't too easy or difficult to find and automate.
#Onsite accelerator
#Alumni mentor
'''Group 4: The Hard to Differentiate'''
The key property of this group is that there are several similar variables, which would be difficult for a turk to differentiate. In order to fix this, we will need to create filters akin to the DSM5 scorecard. See the below section.
#Onsite VC v. Angel Investors
#Onsite OH Investors v. mentors
#Onsite temporary workshops v. networking events
#Curriculum v. code school
=====General Approach Group 4=====
The Scorecard will be broken down into three main parts: description, characteristics, andTBD parts. The procedure for creating these will be as follows: the description will be determined, develop the characteristics after looking over examples, the creation of possible mechanical turks that have complete accuracy even if not comprehension (e.g. a task will that always guarantees that there is an onsite mentor that covers only 40% of firms, but never misspecifies the existence of mentors), and auditing of the results.
'''Group 5: The Need further Discussion Before Collection'''
Variables that need to be developed more prior to collection.
#Franchise and multiple locations within a city
#Community Membership
