States Adopt Data-Driven Criminal Sentencing

Over the past 10 years, states have increasingly used large databases of information about criminals to identify dozens of risk factors associated with those who continue to commit crimes, like prior convictions, hostility to law enforcement and substance abuse. Those factors are then weighted and used to rank criminals as being a high, medium or low risk to offend again. Judges, corrections officials and parole officers in turn use those rankings to help determine how long a convict should spend in jail. Virtually every state has used such risk assessments to varying degrees over the past decade, and many have made them mandatory for sentencing and corrections as a way to reduce soaring prison populations, cut recidivism and save money.

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