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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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Since 2008, DOJ has been reviewing its policies and programs on international organized crime, with the goal of strengthening law enforcement's response to this threat. In this NIJ Conference Panel, the speakers will explore how DOJ and other U.S. government agencies are responding to it. Attendees will learn more about the Attorney General's Organized Crime Council, the International Organized Crime Intelligence and Operations Center, and the recent National Intelligence Estimate on International Organized Crime.
The Real-Time Crime Forecasting Challenge seeks to harness the advances in data science to address the challenges of crime and justice. It encourages data scientists across all scientific disciplines to foster innovation in forecasting methods. The goal is to develop algorithms that advance place-based crime forecasting through the use of data from one police jurisdiction.
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