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Addiction, Healthcare, Criminal Justice System, Machine Learning


Together, we are working to identify discrepancies in the criminal justice system that put substance users at an unfair advantage for possible treatment and success in the future. This is done by modeling regressions involving the arrest-rates, developing charts to show the patterns of past arrests, and tracking the resources available for substance users. By doing this, we provide models to the local sheriff office that forecasts incoming inmates which allows the office to prepare accordingly. On the flip side, we are working to create a prediction model that exemplifies the risk of relapse for substance users. Ultimately, our goal is to use these models to determine the best course of action, given the limited resources available.