WST 4002
Data Feminisms
Draws from critical data and algorithm studies and feminist science and technology studies to develop critical tools of inquiry needed to approach data within a context of racialized, gendered, colonial, and classed systems of power. Combines practical data workshops with critical readings to analyze data across key uses in domains such as healthcare, security apparatuses, carceral systems, and digital infrastructures.
Prerequisites & course information
Grading Scheme: Letter Grade Prerequisite: Sophomore standing or higher. Attributes: Ethical-AI
Sources
- Course catalogue ↗2025-2026
- Catalogue entry ↗
Catalogue variants
- Data Feminisms · 3 Credits