Data-driven Policing Reform

Data-Driven Policing Reform is a reform framework within policing policy and practice that systematically integrates quantitative and qualitative data analysis to identify, evaluate, and implement evidence-based strategies aimed at enhancing accountability, reducing bias, and improving public safety outcomes.

8

Publications

435

Citations

15

Authors

9

Institutions

Publications per year

2017–2026

6

Authors

15

  1. AS
    Aaron Shapiro

    University of North Carolina at Chapel Hill, United States

    2 publications · 193 citations

    2

    h-index

  2. BA
    Bruce A. Arrigo

    University of North Carolina at Charlotte, United States

    1 publications · 56 citations

    1

    h-index

  3. TH
    The Honorable Susie Morgan

    Supreme Court of the United States, United States

    1 publications · 15 citations

    1

    h-index

  4. JR
    James R. Coldren

    United States Department of Justice, United States

    1 publications · 53 citations

    1

    h-index

  5. BB
    Brooke Bosley

    Carnegie Mellon University, United States

    1 publications · 29 citations

    1

    h-index

1–5 of 15

Venues

  1. Police Quarterly

    PQ · 2 publications · 68 citations

    2

    h-index

  2. Surveillance & Society

    1 publications · 77 citations

    1

    h-index

  3. Nature

    1 publications · 116 citations

    1

    h-index

  4. Annual Review of Criminology

    1 publications · 66 citations

    1

    h-index

  5. Criminal Justice Policy Review

    CJPR · 1 publications · 23 citations

    1

    h-index

1–5