Drug use
Identifying the Outcomes of Prevention: Results of a Longitudinal Study in a Small City School District
Application of a Pyroprobe to Simulate Smoking and Metabolic Degradation of Abused Drugs Through Analysis Pyrolysis
Keeping Contraband on the Outside
Cost-Benefit Study of a Breaking the Cycle Program for Juveniles
Pennsylvania System Tracks and Centralizes Drug Overdose Information
National Institute of Justice Drug Use Forecasting System (DUF)
Risk Perceptions Among Serious Offenders: The Role of Crime and Punishment
Patterns of Drug Use, Drug Trafficking, and Other Delinquency Among Inner-City Adolescent Males in Washington, D.C.
Drug Use Among Domestic Marijuana Growers
Gang Membership as a Proxy for Social Deficiencies: A Study of Nebraska Inmates
Exploring the Gender Differences in Protective Factors: Implications for Understanding Resiliency
Adult Patterns of Criminal Behavior
Recreational Research: Analyzing "Designer Drugs" at Miami's Premier Electronic Music Festival
The Evolution and Impact of Electronic Cigarettes
Phase II Metabolites of Drugs in Hair: A Potential Solution for Environmental Contamination
Fast On-site Screening of Seized Drugs by Electrochemical and Spectroscopic Tools: Identification of Fentanyl and Novel Psychoactive Substances
Prevalence of Fentanyl and Its Analogues in a Court-Ordered Mandatory Drug Testing Population
Real-Time Crime Forecasting Challenge Webinar
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.
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NIJ Journal Issue No. 241
NIJ Journal Issue No. 245
NIJ Journal Issue No. 239
Spreading the Word on Novel Drugs
Solutions in Corrections: Using Evidence-based Knowledge
Professor Ed Latessa describes how his team and he assessed more than 550 programs and saw the best and the worst. Professor Latessa shared his lessons learned and examples of states that are trying to use evidence-based knowledge to improve correctional programs.
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Civil Protection Order Enforcement
T.K. Logan discusses her study that looked at the impact of civil protective orders for domestic violence victims in five Kentucky jurisdictions. Civil protective orders, sometimes known as restraining orders, may cover various situations, such as ordering an assailant to avoid a victim's home and workplace or forbidding any contact with the victim, including by mail or telephone.
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