Using Random Forest Risk Prediction in the Philadelphia Probation Department

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Criminal Justice Research Podcasts from the National Institute of Justice

Health & Fitness


Watch two experts talk about developing a computerized system that successfully predicts, with a high degree of accuracy, which probationers are likely to violently reoffend within two years of returning to the community. Drs. Barnes and Hyatt teamed up with the Philadelphia Adult Probation & Parole Department in an NIJ-funded project. Here they discuss: Why was the Probation Department interested in exploring a new risk prediction tool? How does the random forest prediction tool work? Why did the researchers have to work hand-in-hand with the practitioners? Why is random forest modeling such an effective tool?