Keynote: Data Science Community and You
summary
Presents concrete metrics and policy tests: diversity maps to Rényi entropy and diversity order q, gamma = alpha × beta, and choosing q changes whether minorities or individuals count more; derives tolerances (about 6% variance or 25% SD) for calling populations “equal”; inspects CDC teen LGBT data and finds missing longitudinal series; cites conferences where direct outreach moves women from 1% to 40%; recommends anonymized entry/exit surveys and treating interventions as measurable experiments.
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chapters (11)
- 0:00Diversity theory introduction
- 1:05Diversity and fairness questions
- 3:36Diversity metrics foundations
- 11:02Diversity in human populations
- 15:21From diversity to equality
- 18:12Equality legal and measurement
- 22:30Population equality engineering
- 27:49Inequality case studies
- 33:05Equality strategies evidence
- 37:59Diversity data call to action
- 41:10Q&A
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