Juvenile Justice Agencies

This course introduces analysts to the broader concepts of connecting the dots through link analysis. A critical portion of conducting a successful analytical investigation is the ability to link together and understand the complexities of the connectedness between people and organizations. Introduction to Link Analysis (ILA) expands on the basic principles of link and association analyses explored in the Foundations of Intelligence Analysis Training (FIAT) while building a framework for more advanced methods such as social network analysis.

Expanding basic knowledge of link and association analysis
Explaining the process of social network analysis
Understanding the visual mapping and mathematical components associated with link and social network analyses

This three-day course covers the fundamentals of financial investigations and incorporates some of the more advanced processes that elevate an investigation. During this course, students will learn about investigative processes, practical tools, and sources of information necessary to plan and conduct financial investigations. The course begins with a description of the basic composition of elements within illicit financial networks and how they work to compromise legitimate business and financial sectors. Course material will describe government, regulatory, and investigative actions within the United States, and by international partners to detect and investigate illicit actors and networks. The course also includes considerations for investigation planning and promotion of creative thinking.

This course provides an overview of the actions investigators can take at the outset of a financial crime investigation. Students learn to ask critical questions, gather documentation, and analyze information for leads. Topics include obtaining and working with financial records, red flags in financial cases, money laundering, investigative strategies for different types of financial crimes, and commingled funds.

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. The course will introduce the Enterprise Theory of Crime and how to use network analysis to formulate conclusions about the structure of criminal organizations, their players and roles, the identification of facilitators, charting of financial arrangements, and connections to unlawful activity. The course enables the production of valuable, accurate, and efficient logical inferences produced by collecting data related to unlawful activity.