Law Enforcement

The National Extreme Risk Protection Order (ERPO) Resource Center (ERC) invites you to the 2025 National ERPO Roundtable taking place on January 15th-16th, 2025, in Washington, D.C.

The Johns Hopkins Center for Gun Violence Solutions, in partnership with the Office of Justice Programs’ Bureau of Justice Assistance (BJA), established the National ERPO Resource Center (ERC) in 2023. The ERC is a training and technical assistance (TTA) hub designed to support states and localities with the implementation of their ERPO programs to reduce gun violence and save lives.

Training to prevent violence against law enforcement and ensure officer resilience and survivability.

This course is designed specifically for law enforcement officers and investigators, providing the tools and knowledge needed to combat the growing threat of technology-facilitated scams targeting older adults. Participants will learn to identify and investigate various digital fraud tactics, from tech support scams to government imposter fraud, and artificial intelligence schemes. The course covers the latest technology and platforms used by criminals, as well as effective techniques for tracing, reporting, and prosecuting these crimes while approaching victims with care.

This intermediate spreadsheeting course uses Microsoft Excel to assess and organize data in an electronic format. The class is designed for learners who have experience using Excel and who want to increase their spreadsheeting knowledge and skills. Topics include text functions, absolute referencing, date and time functions, flash fill, handling formula errors, VLOOKUP, dynamic arrays, and data validation. The course combines live demonstrations, instructor-led exercises, and independent student exercises.

This course is for law enforcement investigators, examiners, and analysts, where device location information may be of importance. Class concepts include exploring user attributes, advertising identifiers, geofence returns, important legal considerations and processes, overall investigative process, and tools available to law enforcement. Students will use a commercially available investigative tool for querying an advertising identifier dataset to display signal locations and a freely available investigative tool for visualizing reverse location geofence returns.

This course covers basic intelligence writing and briefing principles as well as methods for effective and clear intelligence sharing. Topics covered include creative and critical thinking, critical reading skills, source evaluation, privacy and civil rights, intelligence writing style and structure, and generating and presenting intelligence briefings. With guidance from experienced experts, students gain hands-on experience by working through data sets based on real cases to produce intelligence products.

This course provides students with the fundamental knowledge and skills necessary to perform a limited digital forensic examination, validate hardware and software tools, and effectively use digital forensic suites and specialized tools. The course begins with a detailed study of the digital forensic examination process, including documentation, case management, evidence handling, validation, and virtualization. Students learn to use todays leading commercial and open source digital forensic suites: Magnet Axiom, X-ways Forensic, and Autopsy.

This course provides hands-on investigative training at a basic level. Students develop the practical skills, insight, and knowledge necessary to manage a successful financial investigation from start to finish, including the acquisition and examination of financial records, interview skills, and case management and organization. Additional topics include forgery and embezzlement, financial exploitation of the elderly, working with spreadsheets, financial profiling, and state-specific statutes and legal issues. *Emerging issues. Current trends in various types of financial crimes.

This three-day course is dedicated to studying the fundamentals of quantitative and qualitative data analysis and how to formulate arguments in support of criminal investigations and intelligence. Students will learn about data management techniques and a disciplined process to clean and standardize data in preparation for analysis. The course will also explore several common investigative objectives, including the discovery of associations between people and entities, the correlation between unlawful activity and suspects, behavioral affinities, and predictions.