University of Illinois

This webinar will offer a brief overview of the National Institute of Justice and the data science needs of the criminal justice field. In addition, it will provide details about the Crime Forecasting Challenge, including who can submit, how to retrieve datasets, and the submission categories. The overall goal of the Crime Forecasting Challenge is to harness recent advances in data science to drive innovation in algorithms that advance place-based crime forecasting.

Research tells us that a relatively small fraction of individuals experience a large proportion of violent victimizations. Thus, focusing on reducing repeat victimization might have a large impact on total rates of violence. However, research also tells us that most violent crime victims do not experience more than one incident during a six-month or one-year time period. As a result, special policies to prevent repeat violence may not be cost-effective for most victims.

Professor Rosenbaum and a panel of colleagues discuss a study to demonstrate the feasibility of creating a foundation from which to launch studies about multiple aspects of policing using standardized definitions and measurement tools. Their goal is to advance knowledge about policing and translate data into evidence-based best practices that improve training, supervision and accountability systems. The effort is expected to produce a better understanding of what motivates police officers and makes them healthier, happier and more effective.

Deterrence theory dominates the American understanding of how to regulate criminal behavior but social psychologists' research shows that people comply for reasons that have nothing to do with fear of punishment; they have to do with values, fair procedures and how people connect with one another. Professor Meares discussed the relevance of social psychologists' emerging theory to legal theory and practice and how deterrence and emerging social psychology theories intertwine.