Two years ago on this day, October 28, 2020, the Bureau of Justice Assistance (BJA) released a refreshed online training program for the 28 Code of Federal Regulations (CFR) Part 23, available at https://28cfr.ncirc.gov.  The training format and curriculum were refreshed to deliver self-paced modules that provide a more dynamic and intuitive experience, employing modern learning principles.  Since the program’s release, more than 23,700 certificates of completion have been earned by law enforcement personnel across the country—a nearly 69 percent increase in completions over previous versions of the training.  This training may be accessed at https://28cfr.ncirc.gov, by existing users or may be accessed through the Regional Information Sharing Systems (RISS) portal or the Law Enforcement Enterprise Portal (LEEP).  For questions on the training, email 28cfr23info@ncirc.gov. 

BJA has also updated the 28 CFR Part 23:  A Guide to Criminal Intelligence Policies brochure which provides key guidance on complying with the regulation, examples of real-world applications, and recommendations for intelligence database submissions and operations. For questions email: 28cfr23info@ncirc.gov.

This October, the National Violence Against Women Law Enforcement Training and Technical Assistance Consortium (LETTAC) commemorates and elevates Domestic Violence Awareness Month (DVAM) and invites fellow criminal justice practitioners to reflect on how we can best serve and support those living in the shadow of domestic violence (DV).  We can—as a nation—rededicate ourselves to the fundamental principles that DV is never tolerated and that everyone has the right to live and thrive, free from fear of abuse and violence.  Members of the LETTAC Consortium—subject-matter experts, justice innovators, and law enforcement practitioners—recorded messages to colleagues, communities, and victims and survivors. Listen and explore the range of DVAM-related resources; as we move into November, consider how LETTAC can provide tailored assistance to your department, agency, or jurisdiction to address DV all year long.

Published by the Bureau of Justice Statistics (BJS), LEARCAT provides access to incident-based data on crimes recorded by law enforcement.  LEARCAT uses data from the FBI’s National Incident-Based Reporting System (NIBRS), as well as contextual information from other federal data sources, such as the U.S. Census Bureau. LEARCAT enables users to:

• Examine NIBRS data at multiple levels of geography, including at state, county, and agency levels.
• Produce custom views of the NIBRS data that provide information on various attributes of crime.
• Produce custom data sets for analysis.
• Generate univariate statistics and perform basic cross-tabulation analyses, among other functions.

Hosted by the Center for Court Innovation and funded by the Bureau of Justice Assistance, this upcoming conference will provide justice practitioners, community organizations, and local advocates with evidence-based and field-tested strategies to address their jurisdictions' unique concerns.  The conference will offer valuable information to longtime practitioners of community justice and those curious to learn the basics.  Panels will provide perspectives from judges, prosecutors, defenders, social workers, treatment specialists, community members, and others on collaborative strategies to address issues such as opioid abuse, inequities in justice system responses, and centering the voices of those with lived experience in the justice system.

When: Thursday and Friday, November 3–4, 2022
Time: 9:30 a.m. – 1:30 p.m., ET

Hosted by the National White Collar Crime Center (NW3C) and funded by the Bureau of Justice Assistance, this webinar will discuss how to locate a social media user of issue or concern.  Your analysis of the profile may become challenging if users do not reveal their real identities.  The presenter will discuss how to harness the Internet to identify the person or group behind a username.  The presentation will include real-case examples to demonstrate successful workflows.  Learning objectives outline useful steps for identifying who is behind a username, explore case examples to retain those steps, and introduce future challenges.

When: Monday, November 14, 2022
Time: 1:00 p.m. – 2:15 p.m., ET