Random forest modeling techniques represent an improvement over the methodologies of traditional risk prediction instruments. Random forests allow for...
This report, from the National Employment Law Project (NELP), explores the exclusion of people with criminal records from work, which severely impacts...
This report reviews findings from a first-of-its-kind survey conducted by the Center for Community Alternatives in collaboration with the American Ass...
This report from the National Employment Law Project (NELP), documents both the failings and accomplishments of the Transportation Worker Identificati...
The Collateral Consequences Resource Center recently launched the Compilation of Federal Collateral Consequences, an online database that maps out res...
A team of researchers from Arizona State University recently conducted a three-year study on the impact of having a criminal record on employment-rela...
The report from the Urban Institute outlines necessary elements to guide states in defining, collecting, analyzing, and disseminating recidivism data,...
This report from the Urban Institute examines criminal background checks as a significant collateral consequence for people in the justice system and ...
Many localities have in recent years regulated the use of questions about criminal history in hiring, or “banned the box.” This publication, from AEI,...