Evaluative Research

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.

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.

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.

How do you use data and science to measure program success?
John Wetzel, secretary of corrections, Pennsylvania Department of Corrections and Grant Duwe, Ph.D., director of research and evaluation, Minnesota Department of Corrections explain how their agencies evaluate programs using data and science. Duwe details how the most effective programs provided by the Minnesota DOC have been those that focus on known risk factors for recidivism. 

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.

The NIJ Research Assistantship Program (RAP) is designed to provide highly qualified doctoral students with practical and applied research experience in criminal justice issues. NIJ provides funds to participating universities to pay salaries and other costs associated with research assistants who work on NIJ research activities.

This webinar reviews the opportunities that are currently available for the 2017-2018 academic year and will cover the application process, eligibility requirements and application deadlines.

Presenters include:

This webinar will inform the audience of the changes to three programs available for publicly funded forensic laboratories and introduce a new program for FY 2017. Changes to existing programs will be highlighted and presenters will discuss the background and goals of the solicitations, recommendations for successful applications, application expectations and requirements, the review process, and the application checklist. There will also be time for questions and answers at the end of the webinar.

Solicitations discussed include:

This webinar provided details and guidance for potential applicants to NIJ’s solicitation, “Research and Evaluation for the Testing and Interpretation of Physical Evidence in Publicly Funded Forensic Laboratories.”

This webinar will provide details and guidance for potential applicants to help build knowledge and evidence related to strategies for effective prevention and intervention of domestic radicalization and violent extremism in the United States. The overall purpose of this program will be to reduce the likelihood that acts of violent extremism occur. This funding will support replication and evaluation of existing programs as well as development and evaluation of programs where none currently exist.