Following are articles published by the National Institute of Justice
Scientist Wins Prestigious Charles Mann Award for NIJ-Supported Research
Igor Lednev, a SUNY chemistry professor, and several of his students, won top awards for their Raman spectroscopy research at the recent SCIX conference.
Overview of Human Trafficking and NIJ's Role
Through the funding of rigorous research and evaluation, NIJ is committed to assisting with the detection, measurement, and prevention of human trafficking and with identifying best practice services for people who are victims of trafficking.
Expungement: Criminal Records as Reentry Barriers
Study Reveals Inaccurate Labeling of Marijuana as Hemp
The History and Legacy of the Latent Fingerprint Black Box Study
The FBI's black box study on latent prints continues to influence the criminal justice system's understanding of the validity and reliability of forensic testimony.
Meeting the Evolving Challenges of Fentanyl and Other Emerging Drugs of Abuse: Innovative Strategies for Improving Analysis
NIJ-supported research offers new workflow for complicated drug analysis, improves upon traditional workflow.
Complex Drug Mixtures Analysis, Using Open-Source Search Software and Library Building Tool
Seized drug analysis aided by the development and release of new data interpretation software.
Meeting the Forensic Challenges of Subadult Skeletons
Determining sex, age, and other forensic information from the skeleton of a young person has stymied investigators for decades.
Multidisciplinary Team Works to Reduce Preventable Deaths of Older Adults
NIJ Evaluations of the Second Chance Act
Understanding and Characterizing Labor Trafficking Among U.S. Citizen Victims
Domestic Extremism: No One-Size-Fits-All Approach to Disengagement From Extremism Activity or Beliefs, Study Finds
NIJ-supported research notes stark division in extremism disengagement pathways for persons with and without prison experience.
Applying Modern Investigation Methods to Solve Cold Cases
How Good Are the Data? Novel Metric Assesses Probability That an Unknown Drug Sample Matches a Known Sample
NIJ-funded researchers developed a novel metric to assess probability that an unknown sample of a drug matches a library sample, with profound implications for standardization of mass spectrometry results.