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Crime Mapping

Forensic Information Data Exchange and the Partnership Between Law Enforcement and Crime Laboratories

May 2010

NIJ Conference Panel
 

Transcript
Forensic Information Data Exchange and the Partnership Between Law Enforcement and Crime Laboratories
Audio file
1 of 6: Forensic Information Data Exchange and the Partnership Between Law Enforcement and Crime Laboratories, William A. Ford, National Institute of Justice , 2 of 6: Forensic Information Data Exchange and the Partnership Between Law Enforcement and Crime Laboratories, Aaron Gorrell, President and CEO, Waterhole Software Inc. , 3 of 6: Forensic Information Data Exchange and the Partnership Between Law Enforcement and Crime Laboratories, Michael O'Berry, Operations Manager, National Missing and Unidentified Persons System, National Forensic Science Technology Center , 4 of 6: Forensic Information Data Exchange and the Partnership Between Law Enforcement and Crime Laboratories, Kevin Kosiorek, Criminalist, Serology Section, Crime Laboratory Unit, Boston Police Department , 5 of 6: Forensic Information Data Exchange and the Partnership Between Law Enforcement and Crime Laboratories, Jim Markey, Sergeant, Phoenix Police Department , 6 of 6: Forensic Information Data Exchange and the Partnership Between Law Enforcement and Crime Laboratories, Aaron Gorrell, President and CEO, Waterhole Software Inc.

Sex Offender Residency Restrictions: Implementation and Impact

July 2019

Numerous states and hundreds of municipalities have laws restricting the location of a convicted sex offender's residence. Little is known about the effectiveness of these restrictions. Do they keep children safer or give a false sense of safety? Some people suggest these laws are driven by media attention to a few cases. Others believe they are not grounded in research.

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Rotational Grid, PAI-Maximizing Crime Forecasts

Date Published
October 2017
Agencies
NIJ-Sponsored
Publication Type
Research (Applied/Empirical), Report (Technical Assistance), Report (Study/Research), Report (Grant Sponsored), Program/Project Description

Analysis and Prediction of Call For Service Data

Date Published
October 2017
Agencies
NIJ-Sponsored
Publication Type
Report (Technical), Report (Technical Assistance), Report (Grant Sponsored), Program/Project Description, Instructional Material

TECHBeat, May 2017

Date Published
May 2017
Agencies
NIJ-Sponsored
Publication Type
Technical Assistance, Report (Grant Sponsored), Program/Project Description, Instructional Material

Real-Time Crime Forecasting Challenge

The Real-Time Crime Forecasting Challenge sought to harness the advances in data science to address the challenges of crime and justice. It encouraged data scientists across all scientific disciplines to foster innovation in forecasting methods. The goal was to develop algorithms that advance place-based crime forecasting through the use of data from one police jurisdiction.