Rape and sexual assault
Incapacitated, Forcible, and Drug/Alcohol-Facilitated Rape in Relation to Binge Drinking, Marijuana Use, and Illicit Drug Use: A National Survey
Forcible, Drug-Facilitated, and Incapacitated Rape in Relation to Substance Use Problems: Results from a National Sample of College Women
Analytical approaches to differential extraction for sexual assault evidence
The Minnesota Sexual Assault Kit Initiative (SAKI): Lessons Learned from a Decade of SAKI Evaluations
Understanding the Health Consequences of Sexual Victimization: Assessing the Impact of Social and Economic Factors
Prevalence Estimates and Correlates of Elder Abuse in the United States: The National Intimate Partner and Sexual Violence Survey
Understanding Violence Against Women
Relationship Between Violence and Mental Disorder
An Affinity-Free, Centrifugal Microfluidic System for Rapid, Automated Differential Extraction
A Study of the Criminal Victimization of Policewomen by Other Police Officers
Addressing the Challenges of Detecting Drug-Facilitated Sexual Assault
NIJ has funded research to address the challenges of detecting DFSA for several years. This research includes projects that examine ways to improve forensic hair testing and how drugs modify blood proteins.
Assessment of Sexual Assault Kit (SAK) Evidence Selection Leading to Development of SAK Evidence Machine-Learning Model (SAK-ML Model)
Sexual Assault Response Team Goals and Motivations for Development
Preventing Relationship and Sexual Violence on College Campuses
Tools to Support Campus Sexual Assault Prevention and Response
Building Knowledge About Victim Services
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.