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Keeping Score: Predictive Analytics in Policing

delete2019-01-13
delete17
PRE
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D
Dylan Fitzpatrick
W
Wilpen L. Gorr
D
Daniel B. Neill *
DOI:10.1146/annurev-criminol-011518-024534delete
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摘要

摘要

En 中文
Predictive analytics in policing is a data-driven approach to (a) characterizing crime patterns across time and space and (b) leveraging this knowledge for the prevention of crime and disorder. This article outlines the current state of the field, providing a review of forecasting tools that have been successfully applied by police to the task of crime prediction. Wethen discuss options for structured design and evaluation of a predictive policing program so that the benefits of proactive intervention efforts are maximized given fixed resource constraints. We highlight examples of predictive policing programs that have been implemented and evaluated by police agencies in the field. Finally, we discuss ethical issues related to predictive analytics in policing and suggest approaches for minimizing potential harm to vulnerable communities while providing an equitable distribution of the benefits of crime prevention across populations within police jurisdiction.
Keyword:
predictive policing
crime forecasting
crime hot spots
proactive policing
AI总结

AI总结

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期刊

Annual Review of Criminology 封面图
Annual Review of Criminology
IF:
6.2
论文数:
161
被引数:
1.1K

机构

C
Carnegie Mellon University
学者数:
1.4W
论文数: 1.4W
被引数: 2.7W
N
New York University
学者数:
4.4W
论文数: 3.9W
被引数: 5.8W
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