Justice Information Center
The Justice Information Center (JIC) is a searchable database of the research and evaluation work of the Justice Information Resource Network's staff, members, and partners. The JIC also includes other open-access and public-domain research-based materials. The JIC's contents are from the national, state, and local levels covering a range of crime and justice topics grouped into several Communities and Collections based on our projects.
Communities
Select a community to browse its collections.
- This community contains open access and public domain research-based resources about victims of crime.
- This community contains resources related to the Death in Custody Reporting Act Program.
- This community contains state Incident-Based Reporting Systems (IBRS) and the National Incident-Based Reporting System (NIBRS) resources.
- Resources in this collection provide supplemental information to course offerings featured in Justice Information Resource Network's Justice Research Academy.
- This community contains research publications, projects, and activities conducted by state Statistical Analysis Centers (SACs).
Recent Submissions
Writing a successful grant application for the 2024 SJS Program
(JIRN, 2024-05-29) Justice Information Resource Network
PowerPoint slides.
Racial and ethnic impact analysis HB 1178, 2025
(Washington State Office of Financial Management, Public Safety Policy & Research Center, 2025-02-04) Knoth-Peterson, Lauren
Racial and Ethnic Impact Statements (REIS) provide information related to the potential impacts of a policy change on individuals from different racial and/or ethnic backgrounds. The purpose of these statements is to provide additional information to policymakers to aid in identifying potential unwanted disparities in the criminal justice system. This report provides information the potential impacts of House Bill (HB) 1178: Concerning Sentencing Enhancements, introduced in the 2025 Washington State Legislature.
Racial and ethnic impact analysis HB 1815, 2025
(Washington State Office of Financial Management, Public Safety Policy & Research Center, 2025-02-18) Knoth-Peterson, Lauren
Racial and Ethnic Impact Statements (REIS) provide information related to the potential impacts of a policy change on individuals from different racial and/or ethnic backgrounds. The purpose of these statements is to provide additional information to policymakers to aid in identifying potential unwanted disparities in the criminal justice system. This report provides information the potential impacts of House Bill (HB) 1815: Concerning prison riot offenses, introduced in the 2025 Washington State Legislature.
Crime in South Dakota 2024
(South Dakota Office of the Attorney General, 2025) South Dakota Statistical Analysis Center
National Incident-Based Reporting System (NIBRS) is a cooperative effort among city, county, and state law enforcement agencies with the necessary application required for crime reporting. Agencies can use our web-based software or if they have a private vendor and their own Records Management System (RMS), they may export their data and send it to the Criminal Statistical Analysis Center (SAC) on a monthly basis. The SAC then imports any data submitted by agencies. All data received either through the State’s web-based system or imported is then submitted to the Federal Bureau of Investigation (FBI) where national reports, such as Crime in the United States, are generated. Every effort is made to have data submitted at the time of yearly publication. Data is live and can be retrieved at any time on the Attorney General’s NIBRS website at sdcrime.nibrs.com.
Technical appendix for COVID commutations recidivism analysis 2025
(Oregon Criminal Justice Commission, 2025-01) Guinn, Kelly; Officer, Kelly; Sanchagrin, Ken
Propensity score methods are a family of statistical methods for drawing causal inference about treatment effects in situations where randomized control trials are not feasible. Randomized control trials ensure that treatment assignment is independent of all covariates. Without this randomization, confounders may bias the estimated treatment effects. Confounding variables are a major hurdle to estimating effects in real-world settings and balancing based on the propensity to receive treatment (i.e., propensity score) is one way to mitigate this bias in non-experimental settings. In general, propensity score techniques aim to balance the characteristics (or confounding variables) of the treatment and control groups. This allows an unbiased comparison between those two groups for the outcome variable of interest, as there are no observed differences between the two groups. These methods are frequently employed in the analysis of disparities in criminal justice settings