New models to predict recidivism could provide better way to deter repeat crime

In the US, a minority of individuals commit the majority of crimes. In fact, about two-thirds of released prisoners are arrested again within three years of getting out of jail. This begs the question: is there a way to predict which prisoners are more likely to become repeat offenders? Recidivism prediction is important because it has significant applications in terms of allocating social services, policy-making, sentencing, probation and bail. From judges to social workers, all parties involved need to be able to work together and understand the risk posed by various individuals. And if we can more accurately determine how likely someone who has just been released from prison is to commit another crime within a few years, we could potentially reduce crime rates and better allocate the money we…


Link to Full Article: New models to predict recidivism could provide better way to deter repeat crime