Where are the women?
summary
Community diversity gaps are quantified here: a company case shows 36% senior leadership female, McKinsey finds 25% higher chance to underperform with less diverse leadership, and Stack Overflow reports 30.4% of devs rank diversity low. Analysis uses graph theory and corporate network surveys (Heidrick & Struggles) to show women sit on network edges with fewer inbound ties. Practical fixes include bias testing (Project Implicit), inclusive job-language tools (TechCo), simple interventions like a donut Slack bot for coffee pairings, tampon provision, and playful slideware with 70+ GIFs to keep attention.
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chapters (28)
- 0:00Introduction and speaker intro
- 1:24Why this talk matters
- 3:09Personal experience at first meetup
- 4:31James Damore manifesto impact
- 7:18Diversity quotas debate
- 10:14Mad Men example of false parity
- 12:04Intersectional diversity explained
- 13:52Diversity in tech for business
- 16:01Moral duty for diversity
- 17:46Virtue signaling and follow-up
- 18:54Cognitive social structures
- 22:06Informal networks and gender bias
- 24:12Similarity bias and echo chambers
- 25:36Prototype for success critique
- 27:03Stack Overflow survey findings
- 28:09Breaking down barriers
- 28:31Understanding your bias
- 29:17Hiring underrepresented groups
- 31:03Job descriptions and evaluation
- 31:47Reaching out to underrepresented groups
- 32:28Supporting minorities in tech
- 33:11Tampon Club initiative
- 33:32Consciously inclusive workplace
- 34:20Be bold and go to the top
- 35:28Listening to underrepresented voices
- 36:10DFT’s coffee roulette
- 36:54Support groups and inclusive authority
- 37:15Q&A begins
