Random forest modeling techniques represent an improvement over the methodologies of traditional risk prediction instruments. Random forests allow for...
Hosted by the National Reentry Resource Center, with funding support from the U.S. Department of Justice’s Bureau of Justice AssistanceDownload a PDF ...
This publication from the Illinois Sentencing Policy Advisory Council (SPAC) examines data on recidivism in the state of Illinois. The brief updates t...
Risk assessment instruments figure prominently in current criminal justice reforms, but their use is controversial. The principal concern is that bene...
This is the fourth in a series of posts on aspects of successful reentry. Each post will include curated resources related to the featured reentry top...
This article, from the National Institute of Justice (NIJ) exams how Neuroscience, the study of the structure and function of the brain and nervous sy...
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...
By Darian Hanrahan
According to a 2014 meta-analysis by the RAND Corporation, adults who participated in correctional education programs were shown t...
This resource hub from the Justice Research and Statistics Association contains the abstracts of reports produced by state Statistical Analysis Center...