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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)
'''As of Week of 7/25'''
===Group 1===
'''Variables Difficult to Obtain'''
#'''Founding Date''' ''(date_founded)''
#*''' ''Difficulty:'' ''' Finding date based on our strategies
#*''' ''New Approach:'' '''
#*#Whois.net Date
#*#Factavia/other press release searches
#'''Multiple locations within city + Franchise''' (as of now just addresses) ''(multi_address)''
#*''' ''Difficulty:'' ''' Company or establishment level will impact measurements
#*''' ''New Approach:'' ''' Will record all addresses at company level
#'''Onsite Venture Capital v. Angel Investors''' (e.g. # and Assets Under Management) ''(onsite_Vc_bin)/(onsite_vc_list)'' ''(onsite_angel_bin)/etc.''
#*''' ''Levels:'' ''' Binary, list of investors
#*''' ''Difficulty:'' ''' Hub website usually does not include investors
#*''' ''New Approach:'' '''
#*#Google key terms with address of Hub
#*#Start with partners and use google/crunchbase
===Group 2==='''Variables Comfortable, Not Complete''' (rough order of most difficult to least difficult)#'''Onsite accelerator''' ''(onsite_accel_bin)/(onsite_accel_cnt)/(onsite_accel_list)''#*'''Group 3''Levels:'' ''' Binary, count, list#*''' ''Difficulty:'' ''' Usually not a list, which requires more scrubbing as many other variables just require us to find one page on a website. #*''' ''Approach: In Between 1 '' '''#*#Google searches and 2procedure to use on website yields decent results#*#Similar procedure to onsite investors#'''Size (# members)''' ''(num_members)''Variables #*''' ''Levels:'' ''' Count for companies (currently not planning to include list of companies given that arensome potential hubs have 200+ members)#*'t too easy '' ''Difficulty:'' ''' 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:'' ''' For companies that have a list, we will count. For those with select members, we will count those they listed and try to see if there is a comment about how many they have. For those that just have a statement "with over," we will write the number and + (e.g. "120+).#'''Office hours investors''' and '''Office hours mentor/advisors''' ''(OH_bin)/(OH_inv_bin)/(OH_inv_list)/etc.''#*''' ''Levels:'' ''' Binary for OH, binary for two separate OH, list of names/descriptions of OH#*''' ''Difficulty:'' ''' Some companies do not list who OH are with, not always obvious if investor, mentor, or difficult advisor, sometimes not clear if mentor is investor/future investor#*''' ''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:'' ''' Binary for do they exist, count for each#*''' ''Difficulty:'' ''' Difficult for Turkers to differentiate between these two and also other potential events (e.g. symposiums)#*''' ''Approach:'' ''' Uses key search terms (e.g. Java/etc.) to find separate out workshops and automatekey terms (e.g.lunch/happy hour) for networking meetings#'''Onsite acceleratorcode school''' and '''Curriculum''' ''(onsite_long_term_courses)/(onsite_code_school_bin)''#*''' ''Levels:'' ''' Binary for do they exist, binary for each#Alumni mentor*''' ''Difficulty:'' ''' Difficult for Turkers to differentiate between long---vsterm 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.''#*''' ''Levels:'' ''' Count, list of sponsors/partners (if exist), separate columns for university and corporate#*''' ''Difficulty:'' ''' Not all companies will list sponsors, partnesrs, or either. Not always clear the difference among sponsors, partners, investors. other #*''' ''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"#*''' ''Approach:'' ''' Include all that have lists#'''Size (sqft)''' ''(size_sqft)''#*''' ''Levels:'' ''' Number in sqft#*''' ''Difficulty:'' ''' Not all companies list square feet online#*''' ''Approach:'' '''#*#Google search with key words#*#If results do 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)#*''' ''Difficulty:'' ''' Not all companies list mentors???- bigger issue is onsite investors#*''' ''Approach:'' ''' Use two different levels and use of google search
===Group 3==='''Group 4: The Hard Variables Easy to DifferentiateObtain'''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 CollectionTwitter activity'''''Variables that need to be developed more prior to collection.#Franchise and multiple locations within a city#Community Membership ==Filters(twit_handle)/(twit_prev_mon_cnt_tweets)/(twit_cnt_followers)/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 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 mentorstwit_cnt_retweets), and auditing of the results. ===Example==='''Curriculum'''#*'''Desc'''Levels: 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 Twitter Handle, # Tweets in a current entrepreneurial endevour***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 sessionMonth, not a one time meeting but a full "course"# Followers, 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# Retweets#*'''TBD points''Approach:'' '''**Do we care about outsourcing? =Additional Resources=#[[Mechanical Easy to get twitter handle from Turk (Tool)]]#or Veeral has created 's code that allows us to run a series of searches on google automating procedure for different lists   =Work in Progress= #For GROUP 1, creation of mechanical turk steps:and then use Gunny's Twitter crawler to get other levels from handle#*'''EXAMPLE:Site URL'''#*'''Twitter Activity'(url)''#**'''STATUS'''Levels: Complete/In Progress/Not Started#**'''Previously Collected''': Yes/NoURL#**'''Published on Mechanical Turk'''Approach: Yes/No#**'''Audited''Google using Veeral': Yes/Nos code that allows us to search #**'''Updates''Whois Date':#**'''Code''':#For GROUP 4:##Scorecard Example##Potential Mechanical Turk Steps (e.g. if specific organization is on website)##Mechanical Turk Example (GROUP 1date_whois)##Add Comments on:###How much manual work remains/What is missing###Any remaining difficulties =Completed Work=  =OLD1=We will be creating a "Hubs scorecard" to determine how hub-like potential spaces are. In order to do so, we will evaluate the places based on certain variables. Previous variables for potential hubs were collected. Below, we list those as well as other variables we think might be helpful to build out the scorecard. Ideally, we would have the following variables (not collected previously):#Onsite VC/Angel/Investors (Count or binary)##Comments:##Mechanical Turk Comments:#Onsite Mentors (binary) --- ''Are these the same as advisers?''##Comments:##Mechanical Turk Comments:#"Office hours" with investors or mentors (binary)##Comments: Previously collected included number of events, but did not separate them into categories (e.g. networking events, workshops, etc.). We view this separation as important, BUT very difficult to collect##Mechanical Turk Comments: #Onsite temporary workshops (binary or count) *** '''see mechanical turk'''##Comments:##Mechanical Turk CommentsLevels:#Networking Meetups (Binary or count) *** '''see mechanical turk'''Date##Comments:##Mechanical Turk Comments:#Sponsors and Partners (binary and list) --- a*'''re these the same?''##Comments:##Mechanical Turk CommentsApproach:#Alumni Network (binary) --- ''not all potential hubslist this and the fact that some do might indicate its importance''##Comments:##Mechanical Turk Comments:#Num of Companies --- ''to help determine size as getting physical sqfootage is difficult''Date active website was registered##Comments:##Mechanical Turk Comments:#Nonprofit (binary) --- ''helpful in determining goals of potential hubs''##Comments:##Mechanical Turk Comments:#Mission Includes Key Buzzwords (e.g. "ecosystem", "community") --- 'Address'help separate simple coworking spaces form hubs'' Example of Prior Variables Collected:*Specific Industry -- ''defined as LinkedIN Self Identifier, no categories just plain text. We think what we really want is to see if they have a specialty (e.g. healthcareaddress)''#*Num of Events --- ''relatively complete inputs, but from March 2016 (see above as well)''*Price for Single Space --- ''defined as price for flexible desk, relatively complete inputs'Levels:'*Price for Office --- ''no inputs''Will include all addresses#*Twitter Activity (Multinomial or Count) --- ''High=2/Moderate=1/No=0, no explanations on how to categorize the activity. Also no handles''*Size (sqft) --- ''no records for majority of the companies'Approach:'*Num Conference Rooms --- ''no records for majority of the companies''*Onsite accelerator Google key terms (binarye.g. Contact Us) --- and URL using Veeral's code#''relatively complete inputs'Nonprofit status'*Onsite code school (binary) --- ''relatively complete inputs''*Community Membership (binarynonprofit_binary) --- ''relatively complete inputs'' =OLD2=#*'''Twitter activity'''Levels: '' '''UPDATE (7/14)''': Updated turk to reflect our desired formatsBinary variable indicating if the potential Hub is a nonprofit organization#*'''UPDATE (7/12)'''Approach: '''AUDIT RESULTS'''http: We noticed  '''UPDATE (7/11)''': uploaded and published on amazon's mechanical turk site/www.guidestar. Given the time cost to either record number of tweets in org/ is a month or look up more than 10 tweets, site that we decided can use 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.''#Copy the text in the Search Text into search if a search engine.#Click on result from twitter.com with the company name. If the link does is nonprofit or not appear on the first 3 pages, record DNE for both outputs#Record the company's Twitter Handle into Twitter Handle#Record the date (MM/DD/YY) of that tweet for Twitter Activity. If there are less than 10 tweets, record DNE.  *'''NUMBER OF EVENTSMission statement''': ''UPDATE: written, not published, on amazon's mechanical turk site(missions_stmt)''#*'''Considerations'''*Difficulties Encountered:*Expected Time to Complete:*Expectation of Results (accuracy of turk, comprehensiveness):*Other CommentsLevels: '''Procedure'''#Copy the text in the Search Text into a search engine.#Click on the result that is the website Official mission statement or description of the company. If there (if mission does not exist a listing on the first three pages, mark as DNE.)#Look for links related to events, such as *''Events' or 'Calendar' on the homepage. #If not found on the homepage, check Approach:''About' and check 'Community'#Count the number of events in July 2016 and record it. If there is no information of events on the websitenot explicitly stated mission statement, record DNE. Note***: ''Events will include meetups, workshops, info sessions etc. We do not want to count them separately since it is difficult to do so. Most companies put all the events "About" or statements on the same section and do not put event types in the titles of the events. We have to look into the details of the events to find out the type and even we do so some events descriptions do not allow us to determine the type easily. Differentiating the types of the events demands more time and effort and therefore is not suitable to be a mechanical turk project.''main page  *#'''Onsite Mentors'Specific Industry'': ''UPDATE: written, not published, on amazon's mechanical turk site(spec_industry)''#Copy the text in the Search Text into a search engine.#Click on the result that is the website of the company. If there does not exist a listing on the first three pages, mark as DNE.#Look for links related to mentorship such as *'mentors', 'mentorship' or 'mentoring programs'#If the key words can be identified, mark as 1#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., look for a subsection or mention of mentor/mentorship/mentoring#If these exist, mark as 1.#If not, go to links related to membership 'benefits,' 'perks,' or related.#Do same process as end of 4 and 5#If there is no mention of mentorship Industry included in these sections, type the company, city, and 'mentoring' into a search engine. If a link to a reliable website statement (such as Desktimeno aggregation) appears and mentorship can be found in the description, mark as 1.#If none of these steps result in a mark of 1, mark as 0   *'''Nonprofit'''Approach: ''UPDATE: written, not published, on amazon's mechanical turk site''#Copy the text in the Search Text into a search engine.#Click *Based on the result that is the website of the company. If there does Mission Statement, not exist a listing on the first three pages, mark as DNE.aggregated#Go to links that describe the company, usually they are labelled: 'About', 'Our Story,Price for a space/office' 'Mission'#Look for the key word 'nonprofit'/(price_space)'non-profit'#If 'nonprofit' is identified, mark as 1, otherwise 0.   *'''Number of Members'''Levels: ''UPDATE: written, not published, on amazon's mechanical turk site''#Copy the text in the Search Text into a search engine.#Click on the result that is the website of the company. If there does not exist a listing on the first three pages, mark as DNE.#Look Two prices one for the link 'Members' or 'Residents'shared, usually they are under the links 'Community', 'Membership', 'Our Space' or 'The Space'.#Count the number of members#If the link or section of 'Members' is not found, go the 'Community' and 'Coworking' and look other for the description on number of startups/founders/members in the community. Record the number.private#If number of members cannot be identified using above steps, record DNE.  *'''Sponsors and Partners'''Approach:''UPDATE: written, not published, on amazon's mechanical turk site''Uses google methodology with key terms and URL#Copy the text in the Search Text into a search engine.[[Category: Internal]]#Click on the result that is the website of the company. If there does not exist a listing on the first three pages, mark as DNE.#Look for the link or mention of 'Sponsors' or 'Partners', many times of which is often under the section of 'About', 'Community', or related sections#If sponsors or partners can be found mark as 1 and list them, otherwise mark as 0.[[Internal Classification: Legacy| ]]

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