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Department of Criminology

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An Evaluation of the Impact of Machine Learning Risk Forecasts on Board Decisions and Recidivism

WP 2016-6.0

WP2016-6.0_Berk_MachineLearningRecidivism_8.24.2016(1).pdf

Related

Working Paper

An Impact Assessment of Machine Learning Risk Forecasts on Parole Board Decisions and Recidivism

Also in Working Papers

Street Light Outages, Public Safety and Crime Displacement: Evidence from Chicago
Re-Examining the Law of Crime Concentration: Between and Within-City Evidence
An Algorithmic Approach to Forecasting Rare Violent Events: An Illustration Based in IPV Perpetration∗

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