Random forest modeling techniques represent an improvement over the methodologies of traditional risk prediction instruments. Random forests allow for...
This study, by the National Institute of Justice, found that electronic monitoring reduces offenders’ risk of failing to meet the terms of their proba...
CantonRepBy Ed BalintShannon Ballas flashed a bright smile when she appeared before the judge in re-entry court.She was given a certificate for comply...
The report from the Urban Institute outlines necessary elements to guide states in defining, collecting, analyzing, and disseminating recidivism data,...
This publication from Community Resources for Justice shows how West Virginia overhauled its community supervision programs, equipped staff with new s...
The past several years have seen a surge of interest in using risk assessment in criminal sentencing, both to reduce recidivism and to reduce prison p...
In this article in Issues in Science and Technology, Stefan F. LoBuglio and Anne Morrison Piehl explore the challenges that local jurisdictions face i...
By Darian Hanrahan
According to a 2014 meta-analysis by the RAND Corporation, adults who participated in correctional education programs were shown t...
This publication from the National Institute of Justice provides an overview of reentry literature, reentry outcomes, and the initiatives that may wor...