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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.
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Professor Ed Latessa describes how his team and he assessed more than 550 programs and saw the best and the worst. Professor Latessa shared his lessons learned and examples of states that are trying to use evidence-based knowledge to improve correctional programs.
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Panelists will discuss the results of the recent Office of Juvenile Justice and ​Delinquency Prevention's National Survey on Children's Exposure to Violence and findings from a seven-year follow-up study, funded by NIJ, on home visitation in New York. The survey's findings included startling figures: More than 60 percent of the children interv​iewed were exposed to violence, crime and abuse within the past year, and more than 1 in 10 were injured in an assault.
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