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Designing a Socially-Critical Data Science Course

Talkat rstudio::conf 2019 · 2019-01-15..01-18· [data-science]
slides:none on file

Classroom exercises show how a fair coin‑betting game concentrates wealth: simulations produce 71% broke after repeated trades and allowing small loans recreates a student‑built subprime crisis; a Flint water assignment analyzes 270 household tests and finds 45 samples (16.6%) above the EPA action level (.015 mg/L) that students used to write the governor; practical resources include AI Fairness 360 for measuring parity/equal‑opportunity gaps and Data Feminism plus historical redlining maps to link algorithms to power and policy.

AI-written summary · about

  1. 0:00Introduction
  2. 0:27Act 1 Wealth Inequality
  3. 5:29Act 2 Data Analysis for Social Action
  4. 7:52Act 3 Resources
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