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
Parents
8
Aaron Shapiro · Nature · 2017 · 116 citations · Full text
Policing in the Era of Big Data
Greg Ridgeway · Annual Review of Criminology · 2017 · 66 citations
1–5 of 8
15
University of North Carolina at Chapel Hill, United States
2 publications · 193 citations
2
h-index
University of North Carolina at Charlotte, United States
1 publications · 56 citations
1
h-index
Supreme Court of the United States, United States
1 publications · 15 citations
1
h-index
1
h-index
1
h-index
1–5 of 15
9
University of Pennsylvania
Philadelphia, United States
2 h-index
2 publications
182 citations
Supreme Court of the United States
Washington, United States
1 h-index
1 publications
15 citations

United States Department of Justice
Washington, United States
1 h-index
2 publications
106 citations

Governors State University
University Park, United States
1 h-index
1 publications
53 citations
John Jay College of Criminal Justice
New York, United States
1 h-index
1 publications
23 citations
California University of Pennsylvania
California, United States
1 h-index
1 publications
77 citations
Carnegie Mellon University
Pittsburgh, United States
1 h-index
1 publications
29 citations

University of North Carolina at Charlotte
Charlotte, United States
1 h-index
2 publications
112 citations
1–8 of 9
PQ · 2 publications · 68 citations
2
h-index
1 publications · 77 citations
1
h-index
1 publications · 116 citations
1
h-index
1 publications · 66 citations
1
h-index
CJPR · 1 publications · 23 citations
1
h-index
1–5