Research and development
AI R&D to Support Community Supervision: Integrated Dynamic Risk Assessment for Community Supervision
Confidence, Latency, and Accuracy in Eyewitness Identification Made from Show-Ups: Evidence from the Lab, the Field, and Current Law Enforcement Practices
AI Enabled Community Supervision for Criminal Justice Services
Tribal Justice, Tribal Court: Strengthening Tribal Justice Systems Using Restorative Approaches
A Law Enforcement Pathway to Treatment: A Multi-Site Evaluation of Self-Referral Deflection Programs
Evaluation of Project Safe Neighborhoods
A Descriptive Analysis of Missing and Murdered Native Women and Children in Nebraska, Barriers to Reporting and Investigation, and Recommendations for Improving Access to Justice
Northwest Indian Community Development Center- Tribal Law and Policy Institute Research Partnership
Evaluation of Project Safe Neighborhoods
Implementing NAGPRA: Connecting Medical Examiner and Coroner Offices to Tribal Partners
Wrongful Convictions: The Latest Scientific Research and Implications for Law Enforcement
Poly-victimization & Resilience Portfolios: Advancing the Science of Resilience Following Children's Exposure to Violence
Assessing the Under-Reporting of Minor Victim Sex Trafficking
Failure to Appear: Domestic Minor Sex Trafficking Victims Experience With the Juvenile Justice System and their Readiness to Change
Strengthening Our Nation's Crime Laboratories
As technology improves, demand for analysis of DNA and other forensic evidence to help solve crimes grows. This video describes some of the challenges crime laboratories face in meeting this demand and how National Institute of Justice (NIJ) funding has strengthened crime labs and encouraged innovation in forensic techniques.
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Wrongful Convictions: The Latest Scientific Research & Implications for Law Enforcement
Preventing Gun Violence: Understanding Law Enforcement Response and Improving Multi-disciplinary Partnerships for Peace
Real-Time Crime Forecasting Challenge Webinar
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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Wrongful Convictions: The Latest Scientific Research & Implications for Law Enforcement
What does science tell us about case factors that can lead to a wrongful conviction? Dr. Jon Gould of American University will discuss the findings of the first large-scale empirical study that has identified ten statistically significant factors that distinguish a wrongful conviction from a "near miss." (A "near miss" is a case in which an innocent defendant was acquitted or had charges dismissed before trial). Following Dr. Gould's presentation, Mr. John R.
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Try Again, Fail Again, Fail Better: Lessons from Community Courts
Change doesn't come easy, particularly within an institution as large and complex as the criminal justice system. Greg Berman, Director of the Center for Court Innovation, offered lessons from several efforts to make reform stick in criminal justice settings. In particular, he focused on the development of community courts — experimental court projects that are attempting to reduce both crime and incarceration in dozens of cities across the U.S. and around the world.
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Violent Repeat Victimization: Prospects and Challenges for Research and Practice
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.
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