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The University of Michigan is a top public research university located in Michigan. The mission of the University of Michigan is to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values, and in developing leaders and citizens who will challenge the present and enrich the future.

Crises cost time, money, customers, and careers (usually in that order), as well as, in the worst of scenarios, lives. Whether a data breach, social media attack, bad press, litigation, investigation, civil unrest, or scandal, great leaders understand how to be predictive and create organizational muscle memory.

In this webinar, officials from the U.S. Department of Justice, Bureau of Justice Assistance and the National Reentry Resource Center review the Second Chance Act Comprehensive Community-Based Adult Reentry grant program and its application process. These grants are designed to support community- and faith-based organizations in expanding on or implementing reentry programs that demonstrate strong partnerships with corrections, parole, probation, and law enforcement agencies or other reentry service providers.

RAND plans to conduct the fourth in-person meeting of the Criminal Justice Technology Forecasting Group. This meeting will focus on addressing the top two topics for follow-on research from prior CJTFG meetings: identifying the most promising emerging technologies for sharing and using information, and determining top business cases for sharing information across the criminal justice enterprise.

On Tuesday, June 14, from 3:00 p.m. to 3:30 p.m. ET, the Bureau of Justice Assistance (BJA) National Training and Technical Assistance Center (NTTAC) will host the webinar "Tips for Reporting on Training Performance Metrics". The webinar will review the performance metrics associated with training engagements in the BJA Training and Technical Assistance (TTA) Reporting Portal, and offer tips for entering training activities and reporting training performance metrics thoroughly and accurately.