Randomized Controlled Field Trials of Predictive Policing

The concentration of police resources in stable crime hotspots has proven effective in reducing crime, but the extent to which police can disrupt dynamically changing crime hotspots is unknown. Police must be able to anticipate the future location of dynamic hotspots to disrupt them. Here we report...

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Bibliographic Details
Published in:	Journal of the American Statistical Association Vol. 110; no. 512; pp. 1399 - 1411
Main Authors:	Mohler, G. O., Short, M. B., Malinowski, Sean, Johnson, Mark, Tita, G. E., Bertozzi, Andrea L., Brantingham, P. J.
Format:	Journal Article
Language:	English
Published:	Alexandria Taylor & Francis 01.12.2015 Taylor & Francis Group, LLC Taylor & Francis Ltd
Subjects:	algorithms Analysts Applications and Case Studies Best practice Clinical trials Community policing Crime Crime prevention experimental design Experimental methods Experiments field experimentation Field trials Forecasting Intelligence Law enforcement Machine learning Mapping Medical research Patrols Point processes Police Police departments Policing Policing dosage prediction Predictions randomized clinical trials Research design risk Statistics United Kingdom United Kingdom United Kingdom > UK
ISSN:	1537-274X, 0162-1459, 1537-274X
Online Access:	Get full text
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