Following are articles published by the National Institute of Justice
Insights Into Mail Fraud Come From Scammers’ Own Records
An analysis of fraudsters’ own databases shed light on mass marketing victimization, showing that older adults are harmed disproportionately.
Advancing Situational and Developmental Approaches To Prevent Sexual Violence
Growing evidence supports using situational and developmental crime prevention approaches to complement traditional law enforcement and criminal justice interventions to combat sexual violence.
Reducing Gun Violence Through Integrated Forensic Evidence Collection, Analysis, and Sharing
Multi-pronged approach of data integration, collaboration, and intelligence-led policing has helped reduce gun violence in New Jersey.
Unconventional Wisdom: Research Shakes Up Assumptions About Sex Trafficking Clues in Online Escort Ads
Scientific study finds that many widely recognized indicators of trafficking in online escort ads are likely not reliable. Research also produces new practice guide.
Is It an Accident or Abuse? Researchers Develop Predictive Models for Pediatric Head Injuries
NIJ-supported research has enabled biomechanical experts to improve predictive models of head injuries in children, helping physicians and law enforcement to better distinguish between accidental injury and abuse.
Attitudes of Reporting Officers Extracted From Incident Reports Can Affect Rape Case Outcomes
Social scientists and data scientists use a powerful machine learning algorithm to conduct a novel criminal justice process study.
Domestic Radicalization and Violent Extremism
An Overview of NIJ's Research Portfolio
Five Things About Community-Based Terrorism Prevention Programs
Automation of Sexual Assault DNA Processing Increases Efficiency
New tool for DNA extraction improves workflow without sacrificing quality.
Research Rooted in Machine Learning Challenges Conventional Thinking About the Pathways to Violent Extremism
NIJ-funded research challenges some common assumptions about what motivates young people to engage in violent extremism.
Helping Crime Victim Legal Clinics Help Their Clients by Defining and Measuring for Successful Outcomes
NIJ-backed research offers the first conceptual model for aligning victim legal services with desired results and assessing effectiveness in terms of actual client outcomes.
Understanding and Characterizing Labor Trafficking Among U.S. Citizen Victims
Domestic Extremists and Social Media: Study Finds Similarities, Differences in Web Habits of Those Engaged in Hate Crimes Vs. Violent Extremism
NIJ-sponsored study, bridging two leading databases on extremist hate and violence, found that individuals in both have been influenced by social media, and their web platform choices may mirror those of the general population.
Crime and Desistance: Probing How Probationers' Thoughts on Crime May Inform Their Conduct
Researchers counsel caution on interpreting probationer cognitions — thoughts and thought patterns — as predictors of desistance from crime.
Crime Victim Legal Assistance Networks: Evaluating a New Service Model
Too often crime victims experience unmet civil legal needs. The Office for Victims of Crime set up a legal assistance network demonstration to help those victims. An NIJ evaluation of the new model returned mixed results.
Migrant Farm Labor Trafficking in North Carolina: Pinning Down Elusive Data
Labor trafficking is a global affliction cloaked in quantitative uncertainty. One research team used a new analytical approach in search of better clarity on the presence, treatment, and possible trafficking of migrant farmworkers in North Carolina.
Using Forensic Intelligence To Combat Serial and Organized Violent Crimes
Integrating forensic evidence into the intelligence process is an evolutionary next step in reducing, disrupting, and preventing violent crime.
Video Games Designed To Address Sexual Assault on Campus
NIJ-funded research assessing video games designed to reduce sexual assault on campus yielded some positive results, but showed a lack of sustained benefits on key metrics.