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Jurisdiction

Tribal Crime, Justice, and Safety (Part 1)

June 2022

Research indicates that Native American persons experience crime victimization at higher rates than non-Native people. Furthermore, the unique position of American Indian and Alaska Native tribes as both sovereign nations and domestic dependents of the U.S. creates jurisdictional complexities in responding to crime, justice, and safety. Senior social and behavioral scientist Christine (Tina) Crossland discusses NIJ’s research on these topics, especially on the prevention of violence towards American Indians and Alaska Natives. Communications Assistant Stacy Lee Reynolds hosts. 

Dual System Youth: At the Intersection of Child Maltreatment and Delinquency

December 2020

Across the country, child welfare and juvenile justice systems now recognize that youth involved in both systems (i.e., dual system youth) are a vulnerable population who often go unrecognized because of challenges in information-sharing and cross system collaboration. In light of these challenges, national incidence rates of dual system youth are not known.

Expanding Research to Examine the Impacts of Forensic Science on the Criminal Justice System

December 2020

In 2004, the National Institute of Justice created the social science research on forensic sciences (SSRFS) research program to explore the impact of forensic sciences on the criminal justice system and the administration of justice. Much of the early research from the SSRFS program focused on DNA processing and the use of DNA in investigations and prosecutions.

Gun Dealers, USA

Date Published
1994
Publication Type
Citizen Involvement Material
Agencies
NIJ-Sponsored

Real-Time Crime Forecasting Challenge Webinar

October 2016

This webinar will offer a brief overview of the National Institute of Justice and the data science needs of the criminal justice field. In addition, it will provide details about the Crime Forecasting Challenge, including who can submit, how to retrieve datasets, and the submission categories. The overall goal of the Crime Forecasting Challenge is to harness recent advances in data science to drive innovation in algorithms that advance place-based crime forecasting.