Strengthening Hate Crime Reporting (HIRISE+)
Problem
Many law enforcement agencies underreport hate crimes against some vulnerable communities, despite rising bias-related victimizations.
Hate crimes are acts of violence motivated by prejudice against victims’ identities or characteristics, instilling fear across entire communities. Despite federal and state laws requiring documentation of bias-motivated crimes, these incidents remain vastly underreported, creating a “dark figure” that obscures the true scope of the problem. National data show that bias-related victimizations have risen over the past decade, yet official crime statistics capture only a fraction. This gap undermines efforts to ensure accountability, allocate resources, and protect vulnerable communities.
NORC, funded by the National Institute of Justice, is examining the drivers of hate crime underreporting—both by affected communities and law enforcement—and designing strategies to improve reporting and classification. Social and institutional factors such as trust in policing, agency protocols, and officer training shape these decisions. By identifying barriers and developing evidence-based tools, this project advances NORC’s mission to strengthen justice systems and promote public safety.
Solution
NORC is using a mixed-methods, research-to-translation approach to understand barriers and facilitators to hate crime reporting.
NORC addressed the challenge of chronic underreporting of hate crimes by designing a three-stage, mixed-methods research-to-translation project, entitled Hate Incident Reporting Initiative to Strengthen Engagement in Communities (HIRISE+), that integrates community perspectives with law enforcement practices. A key challenge was bridging the trust gap between affected communities and police agencies while generating actionable insights for policy. To meet this challenge, NORC partnered with the Police Executive Research Forum (PERF) and four diverse police departments across the United States, ensuring both geographic and cultural representation.
Stage 1 mapped local contexts through a large-scale web survey and an environmental scan of departmental policies and procedures. Stage 2 used in-depth interviews with victims and law enforcement to uncover decision-making processes behind reporting and classification. Stage 3 translated these findings into evidence-based tools and recommendations for police agencies. This approach demonstrates NORC’s strength in combining rigorous research design with community partner engagement to produce practical solutions that advance justice and public safety.
Result
Our results will support efforts to encourage more accurate reporting of hate crimes in vulnerable communities.
Although findings are forthcoming, this project is positioned to deliver actionable insights that address one of the most persistent challenges in hate crime enforcement: underreporting. Results from this study will inform a suite of evidence-based recommendations and practical tools for law enforcement agencies to improve recognition and documentation of bias-motivated crimes. These deliverables will be disseminated through academic publications, practitioner-focused articles, and direct engagement with law enforcement leaders. Ultimately, this work aims to inform national standards, strengthen community-law enforcement relationships, and contribute to more accurate hate crime data.
Project Disclaimer
This project is supported by Award NIJ-22-GG-00998-RESS, awarded by the National Institute of Justice, Office of Justice Programs, U.S. Department of Justice. The opinions, findings, and conclusions or recommendations expressed on this site are those of the author(s) and do not necessarily reflect those of the Department of Justice.
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Project Leads
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Michelle Johns
Senior Research ScientistProject Director, Co-Principal Investigator -
Elizabeth Mumford
Senior FellowCo-Investigator -
Stuart Michaels
Senior Research ScientistCo-Investigator -
Erin Fordyce
Senior Research MethodologistChief Methodologist -
Sarah Hodge
Senior Research ScientistProject Manager