Identifying Racial Bias in Policing Practices: Open Data Policing
summary
A web app called OpenDataPolicingNC.com aggregates ~20,000,000 North Carolina traffic stops, exposes agency and officer dashboards via an API architecture, and uses Python/Django with D3 to render search and contraband hit‑rate visualizations. Findings show wide jurisdiction and officer variance — many officers search far above the 3% state average while contraband hit rates cluster around ~19% — and the site already informs defense work and reveals data quality gaps in Maryland and Baltimore reporting.
AI-written summary · about
chapters (7)
- 0:00Open Data Policing intro
- 4:32NC traffic stop law
- 13:24Equitable policing with data
- 19:10How the site works
- 24:50Expanding to Maryland
- 32:08Calculating search rates
- 35:20Q&A
related talks
08mHow Can Open Data Help Facilitate Police Reform
05mUsing OpenStreetMap with the Python OpenPoliceData package
51mWhat is a Data Desk?
40mA Few Good Public Servants: How Great Analysis Inspires Action
20mCity Data
12mVisualizing Disparity
55mKeynotes 09/17/2021
35mDesigning for Impact in Civic Data Science
