Speakers
Workshop Session
The Singapore Prison Service (SPS) leverages data analytics to enhance inmate rehabilitation and reintegration, aiming to reduce recidivism and promote desistance from crime. This presentation outlines the comprehensive data driven strategies employed by SPS, including the collection and analysis of various data points throughout an inmate's incarceration. Special emphasis is placed on SPS's innovative approach to measuring desistance, moving 1 beyond traditional recidivism rates to explore factors that contribute to successful reintegration. The study's findings, highlighting the importance of tailored interventions and the potential of alternative desistance indicators, showcase SPS's commitment to advancing correctional practices through data. The use of analytics not only informs programme development and policy but also offers deeper insights into the rehabilitative process, ultimately supporting ex-offenders' journey towards a crime-free life.