Hubs: Hubs Data

This page represents the work used for mechanical turks for the paper: Hubs (Academic Paper). 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.

For more information on Mechanical Turks in general, see Mechanical Turk (Tool).

Variables for Hubs

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):

1. Onsite VC/Angel/Investors (Count or binary)
   1. Comments:
   2. Mechanical Turk Comments:
2. Onsite Mentors (binary) --- Are these the same as advisers?
   1. Comments:
   2. Mechanical Turk Comments:
3. "Office hours" with investors or mentors (binary)
   1. 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
   2. Mechanical Turk Comments:
4. Onsite temporary workshops (binary or count) *** see mechanical turk
   1. Comments:
   2. Mechanical Turk Comments:
5. Networking Meetups (Binary or count) *** see mechanical turk
   1. Comments:
   2. Mechanical Turk Comments:
6. Sponsors and Partners (binary and list) --- are these the same?
   1. Comments:
   2. Mechanical Turk Comments:
7. Alumni Network (binary) --- not all potential hubslist this and the fact that some do might indicate its importance
   1. Comments:
   2. Mechanical Turk Comments:
8. Num of Companies --- to help determine size as getting physical sqfootage is difficult
   1. Comments:
   2. Mechanical Turk Comments:
9. Nonprofit (binary) --- helpful in determining goals of potential hubs
   1. Comments:
   2. Mechanical Turk Comments:
10. 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. healthcare)
• 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
• Price for Office --- no inputs
• 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
• Num Conference Rooms --- no records for majority of the companies
• Onsite accelerator (binary) --- relatively complete inputs
• Onsite code school (binary) --- relatively complete inputs
• Community Membership (binary) --- relatively complete inputs

Test2

• Twitter activity:

UPDATE (7/14): Updated turk to reflect our desired formats UPDATE (7/12): AUDIT RESULTS: We noticed

UPDATE (7/11): 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.

1. Copy the text in the Search Text into a search engine.
2. 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
3. Record the company's Twitter Handle into Twitter Handle
4. Record the date (MM/DD/YY) of that tweet for Twitter Activity. If there are less than 10 tweets, record DNE.

• NUMBER OF EVENTS: UPDATE: written, not published, on amazon's mechanical turk site

Considerations

• Difficulties Encountered:
• Expected Time to Complete:
• Expectation of Results (accuracy of turk, comprehensiveness):
• Other Comments:

Procedure

1. Copy the text in the Search Text into a search engine.
2. 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.
3. Look for links related to events, such as 'Events' or 'Calendar' on the homepage.
4. If not found on the homepage, check 'About' and check 'Community'
5. 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 etc. We do not want to count them separately since it 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 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.

• Onsite Mentors: UPDATE: written, not published, on amazon's mechanical turk site

1. Copy the text in the Search Text into a search engine.
2. 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.
3. Look for links related to mentorship such as 'mentors', 'mentorship' or 'mentoring programs'
4. If the key words can be identified, mark as 1
5. If there is no explicit 'mentoring' section, look for links related to a description of the company, such as: 'About,' 'Our Team,' 'Our Mission,' etc., look for a subsection or mention of mentor/mentorship/mentoring
6. If these exist, mark as 1.
7. If not, go to links related to membership 'benefits,' 'perks,' or related.
8. Do same process as end of 4 and 5
9. 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 Desktime) appears and mentorship can be found in the description, mark as 1.
10. If none of these steps result in a mark of 1, mark as 0

• Nonprofit: UPDATE: written, not published, on amazon's mechanical turk site

1. Copy the text in the Search Text into a search engine.
2. 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.
3. Go to links that describe the company, usually they are labelled: 'About', 'Our Story,' 'Mission'
4. Look for the key word 'nonprofit'/'non-profit'
5. If 'nonprofit' is identified, mark as 1, otherwise 0.

• Number of Members: UPDATE: written, not published, on amazon's mechanical turk site

1. Copy the text in the Search Text into a search engine.
2. 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.
3. Look for the link 'Members' or 'Residents', usually they are under the links 'Community', 'Membership', 'Our Space' or 'The Space'.
4. Count the number of members
5. If the link or section of 'Members' is not found, go the 'Community' and 'Coworking' and look for the description on number of startups/founders/members in the community. Record the number.
6. If number of members cannot be identified using above steps, record DNE.

• Sponsors and Partners:UPDATE: written, not published, on amazon's mechanical turk site

1. Copy the text in the Search Text into a search engine.
2. 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.
3. 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
4. If sponsors or partners can be found mark as 1 and list them, otherwise mark as 0.