Evaluation
Using Technology to Facilitate Successful Reentry Outcomes: A Randomized Controlled Trial of a Web-Based Reentry Planning Tool
Adaptation of the DNAse I procedure to the Biomek® NXP robotic platform for more efficient and automated sexual assault sample processing
Police Stops, Crime Prevention, and Community Reaction: A Randomized Field Experiment at Violent Crime Hot Spots
Exploring the Social Networks of Homegrown Violent Extremist (HVE) Military Veterans
Expanding the Knowledge Base about Child Advocacy Centers
A Randomized Controlled Trial of the Scenarios and Solutions Gang Prevention Program
Improving Juror Comprehension of Forensic Testimony and Its Effects on Decision-Making and Evidence Evaluation
Confidence, Latency, and Accuracy in Eyewitness Identification Made from Show-Ups: Evidence from the Lab, the Field, and Current Law Enforcement Practices
Evaluation of Project Safe Neighborhoods
A Law Enforcement Pathway to Treatment: A Multi-Site Evaluation of Self-Referral Deflection Programs
Evaluation of Project Safe Neighborhoods
Employing Evidence to Combat Everyday Tragedy
Assessing the Under-Reporting of Minor Victim Sex Trafficking
Evaluation of a Service Provision Program for Victims of Sex Trafficking
Evaluating Reentry Programs Using Data and Science
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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Evaluating Reentry Programs Using Data and Science
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.
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