Recidivism
National Institute of Justice Recidivism Forecasting Challenge: Team “MCHawks” Performance Analysis
Predicting Recidivism in Georgia Using Lasso Regression Models with Several New Constructs
Recidivism Forecasting with Multi-Target Ensembles: Years One, Two and Three
NIJ Report, Team VT-ISE
National Institute of Justice's Recidivism Forecasting Challenge: Research Paper, Group MNLB
Team MattMarifelSora: NIJ Recidivism Forecasting Challenge Report
Recidivism Forecasting Challenge
National Institute of Justice's Recidivism Forecasting Challenge, SRLLC
NIJ Recidivism Challenge Report, Team Klus
Predicting Criminal Recidivism Using Specialized Feature Engineering and XGBoost
Predicting Recidivism with Neural Network Models
National Institute of Justice’s Forecasting Recidivism Challenge: Team “DEAP” (Final Report)
Predicting Recidivism Fairly: A Machine Learning Application Using Contextual and Individual Data
Recidivism Forecasting Challenge: Team IdleSpeculation Report
Recidivism Forecasting Using XGBoost
Recidivism Forecasting with Multi-Target Ensembles: Winning Solution for Male, Female, and Overall Categories in Year One, Team CrimeFree
Examining the Use and Impacts of Restrictive Housing
Specific Deterrence in a Sample of Offenders Convicted of White Collar Crimes
Day Reporting Center Clients Compared to Standard Probation Clients in Franklin County, PA, Final Report
Employment Services for Ex-Offenders Field Test - Detailed Research Results
Employment Services for Ex-Offenders Field Test - Summary Report
From Successful Reentry to Stronger Communities
Taking Stock: An Overview of NIJ's Reentry Research Portfolio and Assessing the Impact of the Pandemic on Reentry Research
Over several decades, the National Institute of Justice (NIJ) has made significant contributions to the field of reentry, specifically what works for whom and when. In recent years, however, the global pandemic has made it increasingly difficult to conduct research on and with populations involved with the justice system. During this time, many researchers assessing various justice-related outcomes were unable to continue their inquiries as planned due to a lack of access to their populations of interest, forcing many to pivot and rethink their research designs.
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