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The Miami-Dade medical examiner’s office has developed a quick method to screen fluids for hundreds of drugs simultaneously, improving workflow.
The importance of non-targeted testing to keep pace with a rapidly evolving synthetic opioid market.
Illicit opioid supplies can be greatly reduced if distribution networks are disrupted. New research highlights the power of computer modeling and community-based intelligence to reveal network connections.
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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A small number of those who commit crimes are heavily involved in drugs commit a large portion of the crime in this country. An evaluation of a "smart supervision" effort in Hawaii that uses swift and certain sanctioning showed that individuals committing crimes who are heavily involved in drug use can indeed change their behavior when the supervision is properly implemented.
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The panel presentations from the 2009 NIJ Conference are based on an NIJ-sponsored evaluation of the effectiveness of Kansas Senate Bill 123, which mandates community-based drug abuse treatment for drug possession by nonviolent offenders in lieu of prison.
This NIJ Conference Panel will explore the development and use of evidence-based policies, programs and technologies to improve effectiveness and efficiencies related to government. Through casual observation, practices and programs may appear to be effective, but under closer scrutiny the results may look much different.
