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=BackgroundHubs Pages=This *The main page represents the work used for mechanical turks for the paperHubs can be found: [[Hubs (Academic Paper)]]. *For the current work in progress for building the Hubs datasheet for the scorecard As of Spring 2016, go to: [[Hubs: Hubs Scorecard]]*For a list tracker of potential work in progress for the dataset building for the scorecard go to [[Hubs: Hubs with Data Building]]*For a set high-level overview of characteristics was created. Many of these are not what will be defined as Hubs. We will be creating a the variables for the scorecard go to help subjectively define [[Hubs: Hubs based on certain characteristics. Data]]
=List of Variables=For a more information on Mechanical Turks in general, -depth of the variables and procedure please see : [[Mechanical Turk (Tool)Hubs: Hubs Scorecard]]. This page will reflect the variables being collected separated into three categories. Each variable will include a breakdown of levels being collected if the definition is not trivial and an approximate approach.
The main goal of the mechanical turk is to automate the collection of variables for potential hubs as much as possible. The key steps for the project are:
#Creating a '''comprehensive''' list of potential hubs
#Determining the best variables for the scorecard
#Building '''"filters"''' for automating the collection
#'''Running''' and '''auditing''' of the automation
#Collecting the remaining manual data
=Variables to be Used=
==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
#Onsite mentors
#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=='''07/29''' Ariel: code Hubs variable for Hubs There are a few categories the majority of the variables fall under:<code>E:/McNair/Projects/Hubs/Hubs Variable-Ariel</code>
'''Group 1: Low Hanging Fruit'''
Variables in this group are very easy to find and automate.
#Price for a space + office
#Twitter Activity
#Founding Date
#URL
#Mission Statement
#Nonprofit
#Sponsors/Partners
#Specific Industry
'''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---vs. other mentors???  '''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  '''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 ==Filters/Scorecard=====General Approach===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 As 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% Week of firms, but never misspecifies the existence of mentors), and auditing of the results. ===Example==='''Curriculum'''*'''Desc''': The potential hub provides training programs for the founders of startups that might have human capital deficits that will lead to them not being about to adequately implement their ideas.*'''Characteristics''': **Education that is for a founder (as opposed to code schools which can be for people who just want to join a startup)***Code schools are for startup labor supply**Active input into a current entrepreneurial endeavor***e.g. " The program is designed to augment and support the real-life business experiences that the students are facing every day in their entrepreneurial endeavors" **Not an ad hoc session, not a one time meeting but a full "course", evidence of this could be**Has evidence of a integrated curriculum leading to a new compentance **Has evidence of a set fixed start and end dates that last XXX long**Is a session linked to others that regularly occurs*'''TBD points'''**Do we care about outsourcing?*'''Potential Turk''' '''Code School'''*'''Desc''': training programs that teach coding, data processing, webpage building and other technical skills.*'''Characteristics''':**Target group are the developers or people who want to join the startups but not the founders themselves**Scheduled classes, not a one time meeting (as opposed to workshops) '''Temporary Workshops'''*'''Desc''':a discussion7/learning of a group of people on specific subjects*'''Characteristic''':**One time**Have a topic/subject/goal ***e.g. learn to code workshop: Java script 101 =Additional Resources=#[[Mechanical Turk (Tool)]]#Veeral has created a google automating procedure for different lists   =Work in Progress===Goals for WIP==#For GROUP 1, creation of mechanical turk steps:#*'''EXAMPLE:'''#*'''Twitter Activity'''#**'''STATUS''': Complete/In Progress/Not Started#**'''Previously Collected''': Yes/No#**25'''Published on Mechanical Turk''': Yes/No#**'''Audited''': Yes/No#**'''Updates''':#**'''Code''':#For GROUP 4:##Scorecard Example##Potential Mechanical Turk Steps (e.g. if specific organization is on website)##Mechanical Turk Example (GROUP 1)##Add Comments on:###How much manual work remains/What is missing###Any remaining difficulties#For GROUPS 2 and 3:##Brainstorm potential ways to find data##Follow Steps in Group1 ==Steps Needed to Complete==#Establish automation process for Groups 1-3#*Status (7/19):#*Begin Date: Started#*Reach Goal: Complete By Friday 7/22#Differentiate variables in Group 4 #*Status (7/19): #*Begin Date: Started#*Reach Goal: Complete by Wednesday 7/27#Test processes and audit #*Status (7/19): NS#*Begin Date: Thursday 7/21#*Reach Goal: Complete by Friday 7/28#Have a comprehensive list of potential hubs#*Status (7/19): NS#*Begin Date: Thursday 7/21#*Reach Goal: Complete by Tuesday 7/26#Fill in Remaining Data Manually#*Status: NS#*Begin Date: Monday 7/25#*Reach Goal: Complete by Friday 7/29 ==Actual WIP==
===Group 1===
#Twitter Activity#*'''STATUSVariables Difficult to Obtain''': Complete#*'''Previously CollectedFounding Date''': YES/NO - Recorded 2/1/0 to represent activity level, but not same as we are#*'''Published on Mechanical Turk'(date_founded)'': Yes#*'''AUDITED'''Difficulty: Yes#**'''Audit Results''': Comparing to 30 that manually done, for '''twitter handle,''' all 3 turkers agreed with our results 81% of the time, but at least 2 turkers agreed with our results 98% (the exception was a company that had several twitter handles Finding date based on location). Results were 52% and 89% respectively.#*'''UPDATES''':#**'''UPDATE (7/14)''': Updated turk to reflect our desired formats#**'''UPDATE (7/12)''': Auditedstrategies#**'''UPDATE (7/11)'''New Approach: uploaded and published on amazon's mechanical turk site. Given the time cost to either record number of tweets in a month or look up more than 10 tweets, we decided to record the date of the last 10th tweet. Using a sample of ~10 companies, We noticed minimal differences in data observations among using 10,20, and 30 tweets.''#*'''CODE'''#*#Copy the text in the Search Text into a search engineWhois.net Date#*#Click on result from twitter.com with the company name. If the link does not appear on the first 3 pages, record DNE for both outputs#*#Record the company's Twitter Handle into Twitter Handle#*#Record the date (MMFactavia/DD/YY) of that tweet for Twitter Activity. If there are less than 10 tweets, record DNE.#URLother press release searches #*'''STATUS''': In Progress#*'''Previously Collected''': YES#*'''Published on Mechanical Turk''': NO#*''Multiple locations within city + Franchise'AUDITED''': NO#**'''Audit Results''': TBD#*'''UPDATES''':#**'''UPDATE (7/18as of now just addresses)''': Code written, expected time for each assignment is <15 seconds - pay rate, therefore, recommended $.04 #*'''CODE'''#*#Copy the text in the Search Text into a search engine.#*#Record the URL of the first result in the following format www.___.__/ (e.g. if url is example.us/other, record www.example.us/multi_address)#Mission Statement#*'''STATUS''': In Progress#*'''Previously Collected'''Difficulty: YES#*'''Published on Mechanical Turk''': NOCompany or establishment level will impact measurements#*'''AUDITED'''New Approach: NO#**'''Audit Results''': TBD#*'''UPDATES''':Will record all addresses at company level#**'''UPDATE (7/18)''': Code written, expected time for each assignment is 20-30 seconds - pay rate, therefore, recommended $Onsite Venture Capital v.08 #*'''CODE'Angel Investors''#*#Copy the text in the Search Text 1 into a search engine (will include site:__ from Company's URL).#*#Click on first link that is a subsection (e.g. "Mission", "About") from company's website (see Company's URL)#*#If this does not exist, repeat steps 1 and 2 with Search Text 2#*#If this does not exist, got to Company's URL#*#Record the main text on the page up to five paragraphs (some of these will be a single lineAssets Under Management). Do NOT record subsections.#*#If locating the main text in the prior step is unclear, record "Unclear"#*#If no text exists, record "DNE"#Specific Industry#*'''STATUS''': In Progress#*'''Previously Collected''': YES/NO, based on LinkedIn identifier#*'''Published on Mechanical Turk''': NO#*'''AUDITED''': NO#**'''Audit Results''': TBD#*'''UPDATES''':#**'''UPDATE (7/21onsite_Vc_bin)''': Given that most companies include their specialty in mission statement and difficulty to turk, we will manually check each mission statement and mark it accordingly. #*'''CODE'''#*#NONE#Nonprofit#*'''STATUS''': In Progress#*'''Previously Collected''': NO#*'''Published on Mechanical Turk''': NO#*'''AUDITED''': NO#**'''Audit Results''': TBD#**'''REQUIRES ADDITIONAL STEPS''': YES (need to double check results)#*'''UPDATES''':#**'''UPDATE (7/19)''': Code written, code 2 of 2 is believed to be more accurate and efficient. Expected time to complete is 15 seconds - pay rate, therefore, recommended $.04 #*'''CODE 1 of 2'''#*#Go to Company's URL.#*#Go to links (sometimes will be sections of the URL pageonsite_vc_list) that describe the company, usually they are labelled: 'About', 'Our Story,' 'Mission'.#*#If none of these exist, record DNE for PAGES#*#Look for the word 'profit'/'nonprofit'/'non-profit'/'not-for-profit' (with or without -onsite_angel_bin)#*#If any of the key words exist is identified, record as 1, otherwise 0 for EXISTS (1/0).#*#If it is marked as 1, record all sentences that the word is found in under SENTENCESetc. #*#If the links do exist, record the name of the link under PAGES#*#Repeat steps 4, 5, and 6 on the pages that were linked.#*'''CODE 2 of 2'''#*#Copy the text from Search Text into the search bar at http://www.guidestar.org/.#*#Record all Organization Names that appear#*#If no results appear, record DNE#Sponsors/Partners#*'''STATUS'''Levels: In Progress#*'''Previously Collected''': NOBinary, list of investors#*'''Published on Mechanical Turk'''Difficulty: NO#*'''AUDITED''': NO#**'''Audit Results''': TBD#*'''UPDATES''':#**'''UPDATE (7/21)''': Code written, but may require additional manual work. Expected time to complete is 45 seconds due to a potential list of a lot of sponsors/partners - pay rate, therefore, recommended $.12. #*'''CODE'''#*#Choose first result from Search Text 1 and Search Text 2 (allintext: Sponsors/Partnerrs site:URL)#*#Record all Sponsors from Search Text 1 into SPONSORS. If there Hub website usually does not exist a list or the link was for only 1 sponsor, record DNE.#*#If any Sponsors from Search Text 1 include a University or College (will be listed in name), record them into UNIVERSITY SPONSORSinvestors#*#Record all Partners from Search Text 2 into PARTNERS. If there does not exist a list or the link was for only 1 partner, record DNE.#*#If any Partners from Search Text 2 include a University or College (will be listed in name), record them into UNIVERSITY PARTNERS#Price for a space + office#*'''STATUS'''New Approach: Not Started#*'''Previously Collected''': YES#*'''Published on Mechanical Turk''': NO#*'''AUDITED''': NO#**'''Audit Results''': TBDGoogle key terms with address of Hub#*'''UPDATES''':#**'''UPDATE (7/_)''': TBD #*'''CODE'''#*#Copy the text in the Search Text into a search engine.#*#TBD#Founding Date#*'''STATUS''': Not Started#*'''Previously Collected''': YES, but only year#*'''Published on Mechanical Turk''': NO#*'''AUDITED''': NO#**'''Audit Results''': TBD#*'''UPDATES''':#**'''UPDATE (7Start with partners and use google/_)''': TBD #*'''CODE'''#*#Copy the text in the Search Text into a search engine.#*#TBDcrunchbase
===Group 2===
#Size'''Variables Comfortable, Not Complete''' (rough order of most difficult to least difficult)#*'''BRAINSTORMOnsite accelerator''''': (7onsite_accel_bin)/19(onsite_accel_cnt) 1/(onsite_accel_list)''#*''' ''Levels:'' ''' Binary, count, list#*''' ''Difficulty:'' ''' Usually not a list, 2which requires more scrubbing as many other variables just require us to find one page on a website. #*''' ''Approach:'' '''#*#Google searches and procedure to use on website yields decent results#*#Similar procedure to onsite investors#'''Size (# members), 3''' ''(num_members)''#*''' ''Levels: search allintext'' ''' Count for companies (currently not planning to include list of companies given that some potential hubs have 200+ members)#*''' ''Difficulty: sqft/square foot/square feet site'' ''' Some companies don’t list all members - only selective ones-, others do not separate current members and alumni, and some just write "we have served more than 120 startups..."#*''' ''Approach: company URL'' ''' For companies that have a list, we will count. 4) Company NameFor those with select members, city, square feet we will count those they listed and then choose frist resulttry to see if there is a comment about how many they have. Process might be easier For those that just have a statement "with over," we will write the number and + (e.g. "120+).#'''Office hours investors''' and cheaper'''Office hours mentor/advisors''' ''(OH_bin) if Veeral runs code firstto eliminate a bunch of 0 result returned/(OH_inv_bin)/(OH_inv_list)/etc.''#*'''STATUS''Levels:'' ''' Binary for OH, binary for two separate OH, list of names/descriptions of OH#*'''''Difficulty: In Progress'' ''' Some companies do not list who OH are with, not always obvious if investor, mentor, or advisor, sometimes not clear if mentor is investor/future investor#*'''Previously Collected''Approach:'' ''' Google approach to get to OH pages and then lookup key words in description to separate out#'''Onsite temporary workshops and Networking Meetups''' (Count) ''(onsite_temp_events_bin)/(onsite_temp_workshop_bin)/(onsite_temp_workshop_cnt)/etc.''#*''' ''Levels: YES/NO'' ''' Binary for do they exist, many missingcount for each#*'''Published on Mechanical Turk''Difficulty:'' ''' Difficult for Turkers to differentiate between these two and also other potential events (e.g. symposiums)#*'''''Approach: NO'' ''' Uses key search terms (e.g. Java/etc.) to separate out workshops and key terms (e.g. lunch/happy hour) for networking meetings#'''Onsite code school''' and '''Curriculum''' ''(onsite_long_term_courses)/(onsite_code_school_bin)''#*'''AUDITED''Levels:'' ''' Binary for do they exist, binary for each#*''' ''Difficulty: NO'' ''' Difficult for Turkers to differentiate between long-term coding programs for individuals and curriculum for startups#*''' ''Approach:'' ''' Uses key search terms (e.g. specific code schools) to separate out known code schools and also to look into key terms (e.g. leadership) for curriculum#'''Sponsors/Partners''' (University, Corporate) ''(sponsors_cnt)/(sponsors_list)/etc.''#*'''Audit Results''Levels:'' '''Count, list of sponsors/partners (if exist), separate columns for university and corporate#*''' ''Difficulty: TBD'' ''' Not all companies will list sponsors, partnesrs, or either. Not always clear the difference among sponsors, partners, investors.#*'''UPDATES''Approach:'' ''' Use two different levels and use of google search, then if list exists, separate by "college"/"university" and rest#'''Alumni Network''' ''(alumni_bin)/(alumni_list)''#*''' ''Levels:'' ''' Binary, list#*''' ''Difficulty:'' ''' Not all companies list alumni, some only list "selected"#*'''UPDATE ''Approach:'' ''' Include all that have lists#'''Size (7/19sqft)''' ''(size_sqft)''#*''' ''Levels:'' ''' Number in sqft#*'''''Difficulty: Brainstorm and code updated '' ''' Not all companies list square feet online#*'''CODE''Approach:'' '''#*#Copy the text in the Search Text 1 into a Google search engine.with key words#*#Record DNE if 0 If results returned in SEARCH 1do not appear, use of press releases is possible#'''Onsite Mentors''' ''(onsite_mentors_bin)/(onsite_mentors_cnt)/(onsite_mentors_list)''#*''' ''Levels:'' ''' Count and list of mentors (if exist)#If there *''' ''Difficulty:'' ''' Not all companies list mentors - bigger issue is a result, click first link in which result search text appears and record the sentence in which the text appears in SEARCH 1onsite investors#*#Repeat Steps 1-3 for Search Text 2 ''' ''Approach:'' ''' Use two different levels and 3 and record in respective SEARCH 2 and SEARCH 3 respectivelyuse of google search
===Group 3===
#Mentors#*'''BRAINSTORMVariables Easy to Obtain''': Current form of this variable seems to be too general.#*'''STATUSTwitter activity''': In Progress#*'''Previously Collected'(twit_handle)/(twit_prev_mon_cnt_tweets)/(twit_cnt_followers)/(twit_cnt_retweets)'': NO#*'''Published on Mechanical Turk'''Levels: NO#*'''AUDITED''': NOTwitter Handle, # Tweets in a Month, # Followers, # Retweets#**'''Audit Results'''Approach: TBD#*'''UPDATES''Easy to get twitter handle from Turk or Veeral':s code that allows us to run a series of searches on google and then use Gunny's Twitter crawler to get other levels from handle#**'''UPDATE (7/19)''Site URL': Two possible codes written. First one requires more manual work#*'''CODE 1 of 2'(url)''#*#Go to Company URL#*#Look for links related to mentorship such as 'mentors', 'mentorship' or 'mentoring programs'. #*#If the key words can be identified, record 1 in BINARY, copy the sentence it is included in SENTENCE, and record urlhome in PAGE. #*#If there is no explicit 'mentoring' section, look for links related to a description of the company, such asLevels: 'About,' 'Our Team,' 'Our Mission,' etc., and look for a subsection or mention of mentor/mentorship/mentoring. URL#*#If these exist, record 1 in BINARY, copy the sentence it is included in SENTENCE, and record the link name clicked in PAGE. #*#If not, go to links related to membership 'benefits,' 'perks,' or related and repeat Step 5.#*#If none of these steps result in a mark of 1, mark as 0.#*'Approach:'''CODE 2 of 2''Google using Veeral'#*#Copy Search Text into s code that allows us to search engine#*#Mark as 1 if reliable site is populated, 0 otherwise#Onsite Accelerator#*'''BRAINSTORM''Whois Date''': Need a count.#*'''STATUS'(date_whois)'': Not Started#*'''Previously Collected'''Levels: YES/NO, only a binary variable#*'''Published on Mechanical Turk''': NODate#*'''AUDITED'''Approach: NO#**'''Audit Results''': TBDDate active website was registered#*'''UPDATESAddress''':#**'''UPDATE (7/_address)''': TBD #*'''CODE'''#*#Copy the text in the Search Text into a search engine.#*#TBD ===Group 4=======Curriculum and Code School====Levels:'''Curriculum'''Will include all addresses#*'''Desc'''Approach: The potential hub provides training programs for the founders of startups that might have human capital deficits that will lead to them not being about to adequately implement their ideas.*'''Characteristics''': **Education that is for a founder Google key terms (as opposed to code schools which can be for people who just want to join a startup)***Code schools are for startup labor supply**Active input into a current entrepreneurial endeavor***e.g. " The program is designed to augment Contact Us) and support the real-life business experiences that the students are facing every day in their entrepreneurial endeavors" **Not an ad hoc session, not a one time meeting but a full "course", evidence of this could be**Has evidence of a integrated curriculum leading to a new compentance **Has evidence of a set fixed start and end dates that last XXX long**Cultivate leadership for entrepreneurs **Tagged "Business" as opposed to 'Tech' or 'DesignURL using Veeral's code**Is a session linked to others that regularly occurs*#'''TBD pointsNonprofit status'''**Do we care about outsourcing?*''(nonprofit_binary)'Potential Turks'''**'''Search Text''': Fullbridge, leadership program, business academy, business course, aspiring entrepreneurs#Google: "Search Text" site:URL#Record 0 if no result returns.#If there is a result, click first link in which result search text appears and record the sentence in which the text appears. '''Code School'''*'''Desc'''Levels: training programs that teach coding, data processing, webpage building and other technical skills.*'''Characteristics''':**Bootcamps**Target group are Binary variable indicating if the developers or people who want to join the startups but not the founders themselves**Scheduled classes, not potential Hub is a one time meeting (as opposed to workshops)*'''TBD points'''nonprofit organization#*'''Potential Turks'''**'''Search Text 1'''Approach: website design, coding, web development, software, bootcamp**'''Search Text 2'''http: General Assembly, Anyone Can Learn to Code, Umbraco, Designation, Boise CodeWorks, Grand Circus, DevMountain, Silicon Valley Data Academy, Academy Pittsburgh#Google: "Search Text" site:URL#Record 0 if no result returns//www.guidestar.#If there org/ is a result, click first link in which result site that we can use to search text appears and record the sentence in which the text appears.if a company is nonprofit or not  ====Onsite VC v. Angel Investors====  ====Onsite OH Investors v. mentors====Thoughts (Ariel, 07/20): The names listed on #''mentor' page/sections must all be mentors, and the same applies for investors/OH investors although few companies list their investors. So here the only thing we are trying to differentiate is whether the mentor is a investor. maybe via checking whether they are from a VC firm?? But even they are from VC companies doesnMission statement't mean they are going to invest on the startups of the Hubs they are mentoring on. Or another way to think about it is differentiating between mentors/OH mentors. Mentors tend to give the particular startups long term support and available when needed while OH mentors only gives advice on the spot.  '''Mentors'(missions_stmt)'' #*'''Desc'''Levels*'''Characteristics''':**Focus on improving entrepreneurial community through ongoing, recurring support**Help and guide the startups on: business plans and models, management, development, execution, technology innovation, marketing, sales**Common fields/occupations: founder/CEO Official mission statement or description of another company, business development, serial entrepreneur, marketing, sales, management consulting, technology and innovation, research professor etc.**Some companies offer mentor office hours(if mission does not exist)#*'''TBD Points'''Approach*'''Potential Turks''':If not explicitly stated mission statement, will include "About" or statements on main page#'''InvestorsSpecific Industry''' *''(spec_industry)'Desc''': #*'''Characteristics'''Levels:**Focus on investing on early stage or growth stage startups**Usually from VC firms**Common fields/ occupations: VC firm manager, VC firm partner, fund manager *'''TBD Points''':Industry included in statement (no aggregation)#*'''Potential Turks'''Approach====Onsite temporary workshops v. networking events===='''Temporary Workshops'''*Based on Mission Statement, not aggregated *#'''DescPrice for a space/office''': *'''Characteristics''':**The purpose is learning and discussing **Often have a specific topic: business issue (e.g. online marketingprice_space) or techniques learning (e.g. intro to Java script)**In the forms of: workshop, class, panel, project, XX session, seminar, series, intro to XX**Exception: tech meetup is usually a workshop(e.g. C++ programmer meetup, http://techranchaustin.com/events/) *'''TBD Points''': #*'''Potential Turks'''Levels: '''Networking Events'''Two prices one for shared, other for private #*'''Desc'''Approach*'''Characteristics''':**The purpose is to meet fellow entrepreneurs Uses google methodology with key terms and experts and networking with themURL**Focus on experience sharing or communication as opposed to discussing a specific topic or technical subject**In the forms of[[Category: meetup, networking, happy hour, info session?, luncheon, XX night, socials, talks??, community XXInternal]]*'''TBD Points''': *'''Potential Turks'''[[Internal Classification==Companies Used for Auditing/etc.== Capital Factory, Austin 1871, Chicago Rocket Space, San Francisco 1776, Washington D.C. Betamore, Baltimore Packard Place, Charlotte The venture Center, Little Rock GSV Labs, San Francisco The Hive, Palo Alto Innovation Pavilion, Denver OSC Tech Lab, Akron Speakeasy, Indianapolis Riverside.io, Riverside The Salt Mines, Columbus InNEVation, Las Vegas 804 RVA Impact Hub, Salt Lake Awesome Inc, Louisville Geekdom, San Antonio Alloy26, Pittsburg ReSET, Hartford Ansir Innovation Center, San Diego Domistation, Tallahassee Atlanta Tech Village, Atlanta Spark Labs, New York =Completed Work=Legacy| ]]

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