Justice centers leverage “big data” during pretrial hearings, sentencing and parole hearings to determine the most appropriate candidates for virtual incarceration. These tools help judges select effective combinations of interventions specifically targeted for individual needs and risks. Analytics and predictive modeling — some from novel sources such as facial coding software, which tracks facial expressions to reveal emotions and predict future behavior — reduce the individual and system-level risk of virtually incarcerating offenders.
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The Risk Assessment and Sentencing Tool (RAST)—a sophisticated data analytics engine—helps classify offenders as low, medium, and high risk, and makes targeted sentencing recommendations