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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.

===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 Twitter Handle, # Tweets in 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 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=  =Completed Work=  =OLD1=We will be creating a "Hubs scorecard" and then use Gunny's Twitter crawler 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 get other variables we think might be helpful to build out the scorecard. Ideally, we would have the following variables (not collected previously):levels from handle#Onsite VC/Angel/Investors (Count or binary)##Comments:##Mechanical Turk Comments:#Onsite Mentors (binary) --- ''Are these the same as advisers?'Site URL''' ''##Comments:##Mechanical Turk Comments:#"Office hours" with investors or mentors (binaryurl)''##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'''URL##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 --- 'Google using Veeral's code that allows us to help determine size as getting physical sqfootage is difficultsearch #''##Comments:##Mechanical Turk Comments:#Nonprofit (binary) --- ''helpful in determining goals of potential hubs'Whois Date'##Comments:##Mechanical Turk Comments:#Mission Includes Key Buzzwords (e.g. "ecosystem", "community") --- ''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. healthcaredate_whois)''#*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 inputsLevels:''*Price for Office --- ''no inputs''Date#*Twitter Activity (Multinomial or Count) --- ''High=2/Moderate=1/No=0, no explanations on how to categorize the activity. Also no handles''*Size (sqft) --- 'Approach:'no records for majority of the companies''*Num Conference Rooms --- ''no records for majority of the companies''Date active website was registered*Onsite accelerator (binary) --- #''relatively complete inputs'Address'*Onsite code school (binary) --- ''relatively complete inputs''*Community Membership (binaryaddress) --- ''relatively complete inputs'' =OLD2=#*'''Twitter activity'''Levels: '' '''UPDATE (7/14)''': Updated turk to reflect our desired formatsWill include all addresses#*'''UPDATE (7/12)'''Approach: '''AUDIT RESULTS''': We noticed  '''UPDATE Google key terms (7/11e.g. Contact Us)''': 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 URL using 10,20, and 30 tweets.''#Copy the text in the Search Text into a search engine.#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 companyVeeral's Twitter Handle into Twitter Handlecode#Record the date (MM/DD/YY) of that tweet for Twitter Activity. If there are less than 10 tweets, record DNE.  *'''NUMBER OF EVENTSNonprofit status''': ''UPDATE: written, not published, on amazon's mechanical turk site(nonprofit_binary)''#*'''Considerations'''*Difficulties EncounteredLevels:*Expected Time to Complete:*Expectation of Results (accuracy of turk, comprehensiveness):*Other Comments: '''Procedure'''#Copy Binary variable indicating if the text in the Search Text into a search engine.#Click on the result that potential Hub is the website of the company. If there does not exist a listing on the first three pages, mark as DNE.nonprofit organization#Look for links related to events, such as *'Events' or 'Calendar' on the homepage. #If not found on the homepage, check 'AboutApproach:' and check 'Community'#Count the number of events in July 2016 and record it. If there is no information of events on the website, record DNE. Note***: ''Events include meetups, workshops, info sessions etchttp://www.guidestar. We do not want to count them separately since it org/ is difficult to do so. Most companies put all the events 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 a site that we do so some events descriptions do not allow us can use to determine the type easily. Differentiating the types of the events demands more time and effort and therefore search if a company is nonprofit or not suitable to be a mechanical turk project.''  *#'''Onsite MentorsMission statement''': ''UPDATE: written, not published, on amazon's mechanical turk site(missions_stmt)''#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 Official mission statement or mention description 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 in these sections, type the company, city, and 'mentoring' into a search engine. If a link to a reliable website (such as Desktimeif mission does not exist) 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 on the result that is the website of the company. If there does not exist a listing explicitly stated mission statement, will include "About" or statements on the first three pages, mark as DNE.main page#Go to links that describe the company, usually they are labelled: 'About', 'Our Story,Specific Industry' 'Mission'#Look for the key word 'nonprofit'/(spec_industry)'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 Industry included in the Search Text into a search engine.statement (no aggregation)#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 *'''Members' or 'ResidentsApproach:', usually they are under the links 'Community', 'Membership'*Based on Mission Statement, not aggregated#'Our Space' or 'The SpacePrice for a space/office'.#Count the number of members#If the link or section of 'Members' is not found, go the 'Community' and (price_space)'Coworking' and look for the description on number of startups/founders/members in the community. Record the number.#If number of members cannot be identified using above steps, record DNE.  *'''Sponsors and Partners'''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 pagesTwo prices one for shared, mark as DNE.other for private#Look for the link or mention of *'''Sponsors' or 'PartnersApproach:', many times of which is often under the section of 'About', 'Community', or related sectionsUses google methodology with key terms and URL[[Category: Internal]]#If sponsors or partners can be found mark as 1 and list them, otherwise mark as 0.[[Internal Classification: Legacy| ]]