Justice system
Population Data on the Expanded CODIS Core STR Loci for Eleven Populations of Significance for Forensic DNA Analyses in the United States
Notes From the Field: Expanding the Cold Case Team Beyond Law Enforcement
Internal Validation of STRmix (TM) for the Interpretation of Single Source and Mixed DNA Profiles
How It Got There: Associating Individual DNA Profiles with Specific Body Fluids in Mixtures Using Targeted Digital Gene Expression and RNA-SNP Identification
Validation of a Probe Capture Next-Generation Sequencing Assay for Whole Mitochondrial Genome Analysis
Advanced Statistical Population Genetics Methods for Forensic DNA Identification
Just Science: DNA: Just Investigative Genetic Genealogy
Powerful Forensic Markers Optimized for Massively Parallel Sequencing
NIJ Journal Issue No. 281
Recent Changes in Corrections and Reentry: Thoughts From Two Leaders in the Field
Notes from the Field: Maintaining Vigilance to Combat Terrorism
Measuring the Criminal Justice System Impacts of Marijuana Legalization and Decriminalization Using State Data
The Impact of National Institute of Justice's Solving Cold Cases With DNA Program
A New Analytical Technique to Identify Surface Treatments of a Single Fiber
Mending Justice - Sentinel Events in Criminal Justice
National Juvenile Justice Data Analysis Program
Mike Thomas
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
Evaluation of a Service Provision Program for Victims of Sex Trafficking
Wrongful Convictions: The Latest Scientific Research & Implications for Law Enforcement
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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