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20Jun2019

Symposium Workshops Focus on Analysis of Incident-Based Data and Understanding Crime in Context

By SEARCH

WHAT

2019 SEARCH Symposium on Justice Information Technology, Policy and Research

WHEN

Tuesday, July 23–Wednesday, July 24

WHERE

Hyatt Regency Crystal City at Reagan National Airport
Arlington, VA

WHY

Explore the role and impact of technology, evolving legal doctrines and policy initiatives, and research findings and opportunities in the justice operations of today.

WHO

Justice/Public Safety officials, academic/agency researchers, technical developers, operational managers/practitioners, justice reform advocates from local, state, and federal agencies and organizations.

The way we count crime in America is changing—and fast! We are transitioning from the summary counts of a handful of crimes we have used since 1929—the Summary Uniform Crime Reporting (UCR) program—to more detailed incident-based reporting on many more crimes—the National Incident-Based Reporting System, or NIBRS. The FBI announced in 2016 that all law enforcement agencies in the United States need to transition to NIBRS reporting by January 2021. The Bureau of Justice Statistics and the FBI have provided funding and support to State UCR/NIBRS Programs and select local law enforcement agencies to make the transition and substantial progress is being made. A total of 36 states are now fully NIBRS-certified, and all states have committed to making the transition to NIBRS by 2021.

NIBRS data provides richly detailed information about every crime incident—when and where it occurred, the circumstances of the event, characteristics of victims and offenders and their relationship, the seriousness of injury, weapons used, property damaged or stolen, etc. NIBRS eliminates the hierarchy rule, which means that compound incidents involving multiple offenses, victims, and offenders can be captured.

The 2019 SEARCH Symposium features two important workshops that focus on developing analytic models and research methods for using NIBRS data for better crime analysis at state and local levels, and to better understand crime in context. Rather than just having raw counts of the number of crimes in a neighborhood or community, by pairing NIBRS with other factors, researchers and policymakers can create more detailed and complex measures of community health, safety and wellness.

Key workshops include:

NIBRS and Crime Analysis: Developing Analytic Models for State and Local Crime Analysis Using NIBRS
Featuring Ms. Erica Smith, Chief, Law Enforcement Incident-Based Statistics Unit, Bureau of Justice Statistics (BJS); Dr. Alexia Cooper, Statistician and Program Manager, BJS; Dr. Kimberly Martin, Statistician, BJS; and Mr. Kyle Comer, CJIS Program Manager, Missouri State Highway Patrol.

Understanding Crime in Context: Contemporary Research in Measuring Community Health, Safety, and Wellness
Featuring Ms. Erica Smith, Chief, Law Enforcement Incident-Based Statistics Unit, Bureau of Justice Statistics (BJS); Dr. James P. Lynch, Processor, Department of Criminology and Criminal Justice, University of Maryland; Dr. Kimberly Martin, Statistician, BJS; and Mr. Paul Wormeli, Wormeli Consulting.

Register Today to attend these and other workshops at the 2019 SEARCH Symposium!

SEARCH is a national nonprofit consortium of Governor-appointed Members that plays a critical and enduring role in designing, developing and managing criminal history record information systems and information sharing capabilities nationwide. SEARCH devotes its efforts and resources to build and support responsible information management and sharing to address the ever-evolving needs of local, state, tribal, and federal justice and public safety agencies and practitioners nationwide. We are commemorating our 50th anniversary in 2019 and our 2019 SEARCH Symposium continues our long-standing practice of partnering with legal experts, industry thought-leaders, researchers, practitioners, technical developers, and justice and public safety professionals to learn, to engage, and to effect change.
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