Confronting Social Criticisms: Challenges when Adopting Data-Driven Policing Strategies
summary
Qualitative field work at a Midwestern police department uses 16 interviews and 55 hours observation to show three concrete problems: data-driven frictions between reactive and proactive policing, precarious and inactionable insights (crime maps and SDI cannot reliably predict where criminals move and commanders lack data literacy), and loss of police metis as officers distrust systems. Recommends transparency about how data is produced and community-shaped data practices; predictive tools often don’t work without resources.
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chapters (8)
- 0:00Introduction and research context
- 2:13Policing philosophies and data
- 4:42Data-driven policing challenges
- 7:09Data-driven frictions in policing
- 10:21Precarious and unactionable insights
- 11:46Police experiential knowledge and Metis
- 13:49Discussion and design implications
- 15:58Q&A session
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