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Activity Number: 642 - Data Science for Social Good
Type: Invited
Date/Time: Thursday, August 2, 2018 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistical Learning and Data Science
Abstract #326604 Presentation
Title: A Model for Prioritizing Interventions for People at Risk of Incarceration
Author(s): Erika Salomon*
Companies: University of Chicago
Keywords: machine learning; prediction; criminal justice; social good

Meeting the needs of people experiencing multi-faceted difficulties (such as homelessness, chronic medical conditions, and mental illness) requires coordinated care across systems. This paper describes our work building a prototype system for Johnson County, Kansas that uses machine learning to prioritize outreach to individuals with a history of mental illness most at risk of being booked into jail within the next year, by bringing together jail, emergency medical, and mental health data. Our system out-performed both a random baseline and simple heuristics and is one that domain experts are likely to use and implement.

Authors who are presenting talks have a * after their name.

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