Oregon
Recidivism Among the Customers of Female Street Prostitutes: Do Intervention Programs Help?
Anticipating Community Drug Problems
Angels in Marble: Problems in Stimulating Community Involvement in Community Policing
Evaluation of the Impact of Systemwide Drug Testing in Multnomah County, Oregon
Cost-Benefit Study of a Breaking the Cycle Program for Juveniles
Conceptualization and Measurement of Citizens' Crime Prevention Behaviors
Evaluating a Domestic Violence Program in a Community Policing Environment: Research Implementation Issues
Community Corrections in Oregon: Empowerment Philosophy and Sex Offender Supervision Network (From Managing Adult Sex Offenders: A Containment Approach, P 9.1-9.16, 1996, Kim English, Suzanne Pullen, and Linda Jones, eds. - See NCJ-162392)
Social Capital Among Women Offenders: Examining the Distribution of Social Networks and Resources
Drug Courts May Reap Big Savings for Corrections and Taxpayers
Pushing the Envelope: Leadership in Prosecution
Process Evaluation of the Multnomah County Drug Testing and Evaluation Program
Poverty, State Capital, and Recidivism Among Women Offenders
Prostitution and Fellatio
Effects of Determinate Sentencing on Inmate Misconduct in Prison
Assessment of Community Policing Performance Within the Portland Police Bureau Domestic Violence Reduction Unit
Faith-Based Programs Give Facilities a Helping Hand
Using Shotguns as Less-Lethal Weapons
Treatment of Sex Offenders (From Managing Adult Sex Offenders: A Containment Approach, P 13.1-13.15, 1996, Kim English, Suzanne Pullen, and Linda Jones, eds. - See NCJ- 162392)
How Are Sex Offenders Managed on Probation and Parole? A National Survey, Final Report
TECHBeat, July/August 2018
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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