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Session Submission Type: Complete Thematic Panel
The National Institute of Justice (NIJ) has made significant investments in correctional research. This project will highlight an award which used predictive modeling in corrections through the development and integration of a dynamic risk assessment tool. This presentation will first provide an overview of NIJ and its corrections portfolio. Second, it will discuss the use of artificial intelligence (AI) in corrections. Next, researchers will detail the development and integration of the Integrated Dynamic Risk Assessment for Community Supervision (IDRACS) tool. Finally, presenters will describe the meta-analysis that helped in the development of the IDRACS-RNR tool. All participants will discuss the work’s impact, success, and challenges.
Overview of the National Institute of Justice’s Corrections Portfolio - Danielle Crimmins, National Institute of Justice
The Use of AI in Corrections and the Development of the IDRACS Risk Classification Tool - Christopher Inkpen, RTI International; Pam Lattimore, RTI International; Nicholas Powell, Georgia Department of Community Supervision
Integrating the IDRACS Risk Classification Tool with Georgia DCS's Case Management System - Christopher Inkpen, RTI International; Nicholas Powell, Georgia Department of Community Supervision; Bria Cross, Georgia Department of Community Supervision; Caroline Kery, RTI International; Pam Lattimore, RTI International
Informing the IDRACS Risk-Needs-Responsivity Tool Development: A Meta-Analysis of Community Supervision Risk Assessments - Kristin Bechtel, RTI International; Jamie Newsome, RTI International; Alicia McKay, RTI International; Curtis Donovyn Smith IV, University of California, Irvine; Christopher Inkpen, RTI International