High crime areas

Captain Baughman of the Kansas City (MO) Police Department answers the question “What is risk terrain modeling?” and explains how it differs from crime mapping, what resources his agency deploys at high risk areas, and the results he has seen form using risk terrain models.

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.