Reducing California’s staggering recidivism rates has persisted as the most prioritized yet challenging goal faced by the California Criminal Justice System (CCJS). As two-thirds of individuals released from prison re-offend within two years of release, finding feasible solutions to deter re-offense is of great importance. A recent program geared to mitigate rising recidivism rates in California is the Specialized Treatment for Optimal Programming, STOP, program offered by the California Department of Corrections and Rehabilitation, CDCR. This program offers housing, counseling and vocational resources to individuals considered the highest risk to re-offend based on their offense history, socioeconomic status, psychological and physiological safety. Rainita Narender presents a study that applies a transdisciplinary approach to investigate the populations that take-up STOP programming and if this access aids in re-entry within the community.
Rainita Narender is a PhD Candidate at CGU and an affiliate of the Computational Justice Lab (CJL). Her research emphasis is in applied microeconomics and the economics of crime. Her research interests are in using administrative data to evaluate policy change within the criminal justice system.
Tuesday, November 15, 2022
12:00 pm − 1:00 pm
In-Person at Albrecht Auditorium
Online via Zoom
(Meeting ID: 864 7922 9262)
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