Opening Address
summary
Conference grows from a local 2015 meetup to 200 conferences worldwide within five years, and data science now informs precision medicine, retail targeting, financial markets, weather and election predictions. Diversity is argued as essential for intellectual strength and for designing solutions that serve all people; concrete problems include biased samples and high attrition as women leave STEM at higher rates. Urgent needs are clearer workplace policies, role models for girls, and cultural and technical frameworks to prevent misuse of data.
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chapters (4)
- 0:00Welcome and introduction
- 1:31Data science growth and impact
- 2:36Why diversity matters in data science
- 8:16Deepest fears and hopes for data science
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