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

WP 2016-6.0

PDF icon 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∗

  • Courts
  • Crime
  • Police
  • Prison
  • Probation and Parole
  • Research Methods
  • Other

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558 McNeil Building
3718 Locust Walk
Philadelphia, PA 19104-6286
(215) 573-9097
crim-info@sas.upenn.edu

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