Accounting for Racial Bias in Recidivism Forecasting, Year 3 Male Parolees Report

Author: Mary Beth Carroll, Rodney Carson, Mike Clark, Adam Cottrell, Jim Georges, Tyler Nelson, Hiwot Tesfaye, Halil Toros, Sree Vuthaluru

Publisher: SAS Institute Inc.

Publication Year: 2022

Summary: The following modeling report attempts to look at racial bias in recidivism and better predict recidivism. This was their entry into the National Institute of Justice (NIJ) sponsored Recidivism Forecasting Challenge to try and improve forecasting recidivism. The goal was to increase accuracy using risk predictors, what they found important variables were age at release, gang affiliation, prior arrest, average days between drug tests and prior convictions.