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Reducing Incarceration through Prioritized Interventions
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Authors:
Matthew J. Bauman
University of Chicago, Chicago, Illinois
Kate S. Boxer
University of Chicago, Chicago, Illinois
Tzu-Yun Lin
University of Chicago, Chicago, Illinois
Erika Salomon
University of Chicago, Chicago, Illinois
Hareem Naveed
University of Chicago, Chicago, Illinois
Lauren Haynes
University of Chicago, Chicago, Illinois
Joe Walsh
University of Chicago, Chicago, Illinois
Jen Helsby
University of Chicago, Chicago, Illinois
Steve Yoder
Johnson County, KS
Robert Sullivan
Johnson County, KS
Chris Schneweis
Johnson County, KS
Rayid Ghani
University of Chicago
2018 Article
Tutorial
Research
Refereed limited
Bibliometrics
· Citation Count: 1
· Downloads (cumulative): 50
· Downloads (12 Months): 50
· Downloads (6 Weeks): 6
Published in:
· Proceeding
COMPASS '18
Proceedings of the 1st ACM SIGCAS Conference on Computing and Sustainable Societies
Article No. 6
Menlo Park and San Jose, CA, USA — June 20 - 22, 2018
ACM
New York, NY
, USA
©2018
table of contents
ISBN: 978-1-4503-5816-3
doi>
10.1145/3209811.3209869
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Author Tags
criminal justice system
frequent utilizers
information systems applications
instance-based learning
machine learning
predictive intervention system
real-time operating systems
sociology
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