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                            Funding & Awards
 Using Machine Learning to Identify High Risk Domestic Violence Offenders in New York City
Award Information
Awardee
              UNIVERSITY OF CHICAGO
Award #
              2017-VA-CX-0033
Funding Category
              Competitive Discretionary
Location
                    CHICAGO, IL
Congressional District
              1
Status
              Closed
Funding First Awarded
              2017
Total funding (to date)
              $452,553
Original Solicitation
              NIJ FY17 Research and Evaluation on Violence Against Women: Teen Dating Violence, Sexual Violence, and Intimate Partner Violence
Description of original award (Fiscal Year 2017, $452,553)
The researchers propose to use machine learning (ML) techniques to develop a tool that predicts risk of domestic violence (DV) victimization and to work with NYPD to test the efficacy of better targeting of high risk IPV victims through a large-scale randomized controlled trial.
The ML tool will combine administrative NYPD data with data from sources (e.g., 911 calls). The team will also use techniques to extract signals from text in officer reports, victim statements, and 911 calls.
Preliminary results suggest that an early version of the algorithm considerably outperforms both existing risk tools and business-as-usual decision-making by police officers. In partnership with NYPD, the team will formally test this via RCT of the tool to compare the effects of targeting officer home visits to victimsan intervention that has been found promising in quasi-experimental evaluationsusing ML relative to status quo.
Key outcomes include rates of repeat victimization and serious injury, as measured by NYPD crime complaints and 911 calls (to capture calls for ambulance service, even if police are not called).
Note: This project contains a research and/or development component, as defined in applicable law,and complies with Part 200 Uniform Requirements - 2CFR 200.210(a)(14).
CA/NCF



  
Grant-Funded Publications
        
                      Multidisciplinary Teams, Street Outreach, and Gang Intervention: Mixed Methods Findings from a Randomized Controlled Trial in Denver
                  Using Machine Learning to Identify High Risk Domestic Violence Offenders in NYC, Final Summary Overview




  
Grant-Funded Datasets
        
                      https://doi.org/10.3886/ICPSR38540.v1

  
Date Created: September 12, 2017
    
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