Designing a Socially-Critical Data Science Course
summary
A classroom runs a penny trading simulation where random bets and voluntary loans produce concentrated wealth (one run leaves 71% of students broke and one student with 5 pennies) and a student-driven subprime loan dynamic. Students analyze Virginia Tech water tests from 270 Flint homes, finding a long tail and 45 samples (16.6%) above the EPA action limit of 0.015 mg/L and many readings >0.12 mg/L, then write the governor. Course uses AI Fairness 360 tools and the Data Feminism framework.
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chapters (4)
- 0:00Introduction
- 0:27Act 1 Wealth Inequality
- 5:29Act 2 Data Analysis for Social Action
- 7:52Act 3 Resources
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