Algorithmic Risk Assessment is a computational methodology within counterterrorism policing that employs data-driven algorithms to evaluate the likelihood of individual or collective threat behaviors, distinguishing itself through automated predictive analytics founded on statistical patterns rather than human judgment alone.
66
Publications
3.4K
Citations
162
Authors
89
Institutions
Publications per year
2017–2026
55
Variants
Algorithmic Risk Scoring
Parents
Publications
66
Ben Green, Yiling Chen · 2019 · 264 citations
Melissa L. Caldwell, Jerone T. A. Andrews, T. Tanay et al. · Crime Science · 2020 · 168 citations · Full text
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1–5 of 162
Institutions
89
University of California, Berkeley
Berkeley, United States
5 h-index
5 publications
307 citations
University of Kaiserslautern
Kaiserslautern, Germany
4 h-index
9 publications
312 citations
University of Toronto
Toronto, Canada
4 h-index
4 publications
406 citations
Carnegie Mellon University
Pittsburgh, United States
3 h-index
14 publications
1.2K citations
Arnold Ventures
Houston, United States
3 h-index
3 publications
134 citations
University of Virginia
Charlottesville, United States
3 h-index
3 publications
134 citations
University of Michigan
Ann Arbor, United States
3 h-index
3 publications
119 citations
Vanderbilt University
Nashville, United States
2 h-index
3 publications
58 citations
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Venues
- SSRN Electronic Journal
Repository · 7 publications · 257 citations
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- Behavioral Sciences & the Law
3 publications · 162 citations
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- Big Data & Society
2 publications · 87 citations
2
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- Northumbria Research Link (Northumbria University)
Repository · 2 publications · 47 citations
2
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- eYLS (Yale Law School)
Repository · 2 publications · 203 citations
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