Designing a Socially-Critical Data Science Course
summary
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
chapters (4)
- 0:00Introduction
- 0:27Act 1 Wealth Inequality
- 5:29Act 2 Data Analysis for Social Action
- 7:52Act 3 Resources
related talks
01h 01mDoing Data Science with Ethics
48mHuman data interactions: experiments in how humans analyze data
37mHow to Start Critical Thinking in Data Science
31mPanel Discussion : Ethics in Data Science
32mData Science for Feminist Comebacks
31mFlagging *and* Fixing Bias in ML
55mKeynote - Big Data's Ethical Drought
24mData science, apps and civic responsibility
