• Yearly from the Linux Fondation,
  these numbers re: 2.6.30
  
  
• Changes per hour: 6
  
  
• # of lines: 11 million
  
  
• # of developers: 1,150
  
  
• # of companies: 240

• For 1 week, a link on top of every page
  (I don't remember seeing it...)
  
  
• Goals of survey: Answer...
  
      Why do people start+stop editing?
  
      Do people know WMF is a non-profit?
  
      What are Wikipedia editors' demographics?
      
• Collaboration between WMF and UNU-MERIT

Age (overall)

Gender

• "The first ever semi-annual survey of
  Wikipedia editors"
  
  
• "conducted on Wikipedia and presented
  to logged-in users"
  
  
• Results: 8.5% female.
  
  
• Is it getting worse?
  
  
• Will we ever know?

 Goal: understand Internet use
and adoption in the United States

Method: Call random USians over 18

Results: % of US (not % of WP)

Afterward: Publish everything

Age

• 18-29: 62%
• 30-49: 52%
• 50-64: 49%
• 65+: 33%
  
  

Gender

• Male: 56%
• Female: 50%

Gender (UNU-MERIT)

• Adjust response data to match Pew demographics, using logistic "propensity score" to model non-random selection.
  
  
• Female editors: 12.7% => 16.1%
  
  
• US female editors: 17.8% => 22.7%
  
  
• Credit: Benj. Mako Hill and Aaron Shaw
  (Search: [hill shaw gender wikipedia pew])

• Wikipedia editor survey 2011:
• 70% say receiving a Barnstar
  makes them more likely to edit.
  
  
• Shaw & Hill, 2012 (Shaw dissertation)
• Measure edit rate changes over
  5 weeks pre and post
  
• Net -1.72 edits per week change
• "Movers": +3
• "Non-movers": -5
• Search: [shaw shaw interactional
  account dissertation]
  

• Inspired (and shocked) by Wikipedia
  Editor Survey results
  
  
• Wondered if they had the same
  lack of gender diversity
  
  
• Ran a survey!

• Ask readers to fill out the same survey.
  
  
• Adjust editor response rate by
  readers' response/non-response
  proportions.

• 50% of survey respondents under 15?
  
  
• Or 50% of age respondents under 15?
  
  
• Was gender mandatory to fill in?
  
  
• Which editing levels were more/less
  likely to respond?

• 19/123 did not fill out age
  
  
• Gender was required
• (did people refuse to answer
  because of that?)
  
  
• Which editing levels were more/less
  likely to respond?
• We may never know.

• Do Women's Outreach Project participants stick around in GNOME similarly to other summer interns?
  
  Maybe more, maybe less?
  
  
• Answer may lie in Kevin Carillo's Ph.D. thesis
• but opt-in nature makes that hard

• Select 200 random users
  
  
• Find out their demographic info
  
  
• Watch their activity levels
  
  
• (this is hypothetical for now)

• ~30% of applicants were women
  
  
• No gender-specific outreach
  
  
• Great 2-day event...
  
• ...but we did leave an impact?

• Compare Github activity against
  other CS students who did not
  attend event
  

• PyStar Philly
• RailsBridge Boston
• Chicago Python Workshop
• Columbus Python Workshop
• Beginners & Friends Python Programming Workshop
  in Auckland, NZ (hi Tim McNamara!)
  
  

• Major urban areas, only?
  
  
• Only applies if you can hijack an existing user group
  

• Work with existing CS club
  (ACM, Women in CS, etc.)
  
  
• Use exit survey to improve
  event
  
  
• Plans to check back in
  with attendees
  

• Gender as a text field
  has 100% response rate
  
  
• Undergrads really don't
  know git (:

• 2011: Dave Neary and Dawn Foster
  
  
• Goal: Illuminate community activity:
  Bugzilla, mailing lists submissions, wiki edits
  
  
• http://wiki.meego.com/Metrics/Dashboard
  
  
• A thrilling ball of Tomcat, Pentaho, and MySQL

• "What are the areas with more activity?"
  
  
• Are we expanding or shrinking?

• Custom gerrit-stats
  
  
• Ohloh code stats
  
  
• Bitergia/MetricsGrimoire code + bugzilla stats
  
  
• mlstats report
  
  
• Summarized in monthly wiki page
• or not that monthly:
• Community_metrics/2013-Q1 says
  "Expected publication date: 2013-04-15."

• Can we review new contributors'
  packages within four days?
  
  if so, they know what to expect.
  
  
• Package review increased sharply at the start...
  
  
• and then flatlined to its old amount.
  
  
• Follow through is hard.

• Reach out to new contributors, thank them for their work and get feedback.
  
  

• DAT asked open-ended questions; 63% response rate
  
  
• 9 love launchpad; 9 dislike it
  
  
• Reviews are "surprisingly painless"
  
  
• Docs are troublesome: “overwhelmed at all the information” and by "contradictory information" that is "difficult to follow in a logical manner"
  
  
• Contributing is "a surprisingly painless process"

• But does it work?

• Mirrors make it hard to count Debian users.
  
  
• Web app authors are privacy-sensitive.
  
  
• Follow-through is hard for volunteers.
• Four days, in Debian
• do you read your web analytics?

• First: Port to Debian
  
  
• Then: Create a control group
  
  
• Finally: Make generic
  
  
• GSoC student:
  David Lu

• PSF grant to OpenHatch; program began June 1
  
  
  
• Six new intro/diversity events
  
  
  
• Eight groups see improved speaker diversity
  
  
  
• Track it:
  https://openhatch.org/wiki/Python_user_groups_2013
  

• Question: What makes GSoC better?
  
  
• Sub-question: what does a good GSoC mean?
  
  
• More failed students!
• Are students still active 3-6 months later?
• Happy mentors.

• Theory:
• mentors would benefit from being
  in touch with each other
  
• mentors would benefit from being
  asked to report on status
  
  
• Test: Create opt-in meta-mentorship
  
  
• ENOSPC

• Benjamin Mako Hill, for graphs (and FLOSSmole for the source data)
• Ubuntu DAT for giving me access
• Sarah Mei for slide piracy

• FLOSS Mole
• metrics-wg