This joint online project of Rutgers School of Law–Newark and Rutgers School of Criminal Justice recently published its November 2013 issue featuring&...
Random forest modeling techniques represent an improvement over the methodologies of traditional risk prediction instruments. Random forests allow for...
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...
The report from the Urban Institute outlines necessary elements to guide states in defining, collecting, analyzing, and disseminating recidivism data,...
In this article in Issues in Science and Technology, Stefan F. LoBuglio and Anne Morrison Piehl explore the challenges that local jurisdictions face i...
This resource hub from the Justice Research and Statistics Association contains the abstracts of reports produced by state Statistical Analysis Center...
Risk assessment instruments figure prominently in current criminal justice reforms, but their use is controversial. The principal concern is that bene...