Building Women in Data Communities: A Journey of Empowerment
summary
Community organizers describe concrete outcomes: a 10-session reading group that keeps meeting, a new member-run community called Women who do data with active members, mentorship pairings via the WIDS data angels program, monthly AI Camp events and workshops run inside JP Morgan, and recurring challenges like the DataOn competition (JanβMar) on problems such as early breastβcancer detection. Practical tools include Meetup, Discord, Luma, targeted marketing and volunteer committees, and these efforts repeatedly produce networking, job referrals, and visible skill-building.
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chapters (6)
- 0:00Women in Data Communities intro
- 2:52Panelists' community journeys
- 12:15Women in data science challenges
- 19:07Career support via communities
- 27:19Growing data communities
- 35:34Future of women in data science
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