Following are articles published by the National Institute of Justice
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.
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.
Reentry Research at NIJ: Providing Robust Evidence for High-Stakes Decision-Making
NIJ is committed to promoting rigorous research on how best to successfully integrate individuals returning from jail or prison.
Tapping Into Artificial Intelligence
Advanced Technology to Prevent Crime and Support Reentry
Specialized Smartphones Could Keep Released Persons on Track for Successful Reentry
A new line of research envisions mobile devices tapping into artificial intelligence to make reentry more efficient and more likely to succeed for those reentering supervisors, their supervisors, and communities.
History of NIJ Support for Face Recognition Technology
The National Institute of Justice has helped drive development of face algorithms since the 1990s, and NIJ expects to remain engaged as the technology evolves and the operating requirements mature.
Algorithms that Mimic the Brain’s Processing Networks Preferred for Some Functions of Face Detection and Recognition Technology
Recently completed research supported by NIJ, closely comparing different types of facial analysis algorithms — including a long-time law enforcement workhorse — reveals that high-powered, deep neural networks can deliver improved performance.
Director's Message - NIJ Journal Issue No. 280
Using Artificial Intelligence to Address Criminal Justice Needs
NIJ is committed to realizing the full potential of artificial intelligence to promote public safety and reduce crime.