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Machine Learning and Causal Inference
Fri, Nov 16, 8:00 to 9:20am, Marriott, M302, Marquis LevelSession Submission Type: Regular Session
Sub Unit
Division of Special Interest
Individual Presentations
Big Data in Criminology - Batya Rubenstein, University of Cincinnati; J.C. Barnes, University of Cincinnati
Causal Inference in Criminal Justice Research: The Past, Present, and Future - Shaun M. Gann, Boise State University
Developing an Integrated Machine Learning Algorithm for Criminal Justice Practitioners: A Superior Method for Resource Allocation? - Shahin Tasharrofi, University of Cincinnati; J.C. Barnes, University of Cincinnati
Quantifying Relationships: Leveraging Data Science for the National Network’s Intimate Partner Violence Intervention (IPVI) - Kyle Ott, National Network for Safe Communities / John Jay College; Rachel Teicher, National Network for Safe Communities