This calendar is designed to provide state, local, tribal, and federal law enforcement with a single point of access to federally sponsored intelligence training programs that meet the Minimum Criminal Intelligence Training Standards . The calendar is an initiative of the Intelligence Training Coordination Working Group and the Counter-Terrorism Training Coordination Working Group and was developed with funding support from the U.S. Department of Justice, Office of Justice Programs, Bureau of Justice Assistance.
In addition, analytic courses that have been reviewed for compliance with the Common Competencies for State, Local, and Tribal Intelligence Analysts and approved by FEMA for inclusion in either the National Training and Education Division (NTED) Training Course Catalog or the State/Federal Sponsored Training Course Catalog are located on the FEMA Approved Intelligence Analyst Training Courses Web page. These courses meet analytic training requirements for fusion center analysts set forth in the Homeland Security Grant Program (HSGP).
This seminar will explore current trends and tactics associated with money laundering and the illicit use of alternative remittance systems, including bulk cash smuggling, trade based money laundering, prepaid/stored value cards, and virtual currencies, as well as tools and training available to support state and local analytic and investigative efforts. Partner organizations include U.S. Immigration and Customs Enforcement (ICE), the National Bulk Cash Smuggling Center (BCSC), and the U.S. Department of the Treasury.
Significant progress has been made by the National Network of Fusion Centers (National Network) and other field-based partners to enhance and execute analytic capabilities. In support of these efforts, the U.S. Department of Homeland Security (DHS) has offered a series of introductory and intermediate analytic courses to support the training of analysts in analytic competencies and tradecraft. To further support the execution of analytic capabilities, DHS is pleased to announce the 2019 Specialized Analytic Seminar Series.
The Specialized Analytic Seminar Series brings together a diverse range of state and local subject-matter experts (SMEs) and partner agencies/organizations (e.g., academic, think tank, federal) to inform analytic capabilities. The series addresses specialized-threat topic areas and the associated patterns, trends, skills, and resources necessary to effectively monitor and evaluate potential threats in the analyst's area of responsibility.
These 1½- to 2-day seminars will be presented in the following format: (1) detailed overview of the topic area from multiple SME perspectives, including associated patterns, trends, and potential impacts; (2) dynamic presentation of case studies, tools, and/or resources; and (3) discussion of available training, techniques, and approaches to support implementation and/or enhancement of associated analytic capabilities.
All seminars will be hosted at different locations. Please see the seminar detail pages for locations.
Participation in this program is targeted to state and major urban area fusion center analysts, as well as analysts from High Intensity Drug Trafficking Areas (HIDTA) Investigative Support Centers (ISC), Regional Information Sharing Systems® (RISS) Centers, and major city/county intelligence units. Each seminar will be limited to approximately 50 participants to foster dynamic, specialized interaction.
There is no cost to attend these events. Prospective attendees may be able to utilize grant funds from the Homeland Security Grant Program (HSGP) to cover travel costs associated with this training. Contact your State Administrative Agency (SAA) training point of contact to ensure that attendance is coordinated and approved prior to registering for the course. The SAA may have specific requirements regarding training activities supported with HSGP funds.
Participants may register for each seminar HERE.
If you have questions or require additional information, please contact SLTTPartnerEngagement@hq.dhs.gov