Award Information
Description of original award (Fiscal Year 2017, $499,368)
This project seeks to advance the study of hate crimes by building on lessons learned from a series of NIJ-funded projects called Profiles of Individual Radicalization (PIRUS).
Based on the PIRUS model the research team will construct an entirely new database of 1,000 convicted hate crime offenders that is both national in scope and representative of multiple offender types. The dataset will include detailed information on offender demographics, socioeconomic measures, social relationships, and other life-course variables that may contribute to the formation of hate beliefs and the commission of hate crimes.
Once complete, researchers will use a suite of multivariate statistical methods and fuzzy-set/Qualitative Comparative Analysis to assess the critical differences that exist within offender types and to identify the pathways to bias crime offending. The overarching goal of this project is to significantly advance knowledge of the pathways to hate crime by moving past static typologies and correlates to embrace social science methods designed to handle complexity.
This project contains a research and/or development component, as defined in applicable law, and complies with Part 200 Uniform Requirements - 2CFR 200.210(a)(14).
CA/NCF
Grant-Funded Datasets
Similar Awards
- Identifying Class and Individual Characteristics of Printer Marks on Additively Manufactured Firearm Components
- The Impact of Processing and Sampling Procedures on the Integrity of Forensically Relevant Biomolecules in Bones
- Harnessing Artificial Intelligence to Evaluate Microscopic Characteristics of Skeletal Trauma