Judges

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 course covers the acquisition, examination, and analysis of many types of financial records, including bank statements and checks, wire transfer records, and business records. Topics include recognizing and investigating common indicators of fraud, using spreadsheets to facilitate analysis and pattern recognition, and financial profiling. There is a strong focus on presenting financial evidence in multiple modalities: spreadsheet data outputs, graphic representations, and written/oral presentations.

*Introduction to analysis. Best practices. Finding patterns. Indicators of fraud. Presenting your findings.
*Financial records. Bank records. Business documents.
*Financial profiling. Methods of profiling. Reasons to create a profile. Creating a profile.
*Hands-on experience. Work a mock financial case as part of an investigative team.

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 introduces the problem of intellectual property theft and provides tools, techniques, and resources for investigating and prosecuting these crimes. A combination of lecture, discussion, and interactive exercises illustrates the potential dangers and economic repercussions of counterfeit products, as well as best practices and techniques for investigating IP theft. Students are provided with a state-specific folder that includes relevant statutes, sample organizational documents for IP investigations, and additional resources for investigators and prosecutors.

This course is presented in collaboration with the National Association of Attorneys General (NAAG).
Awareness. Types of IP crimes. The criminals who commit these crimes. Impacts and dangers.
Investigation. Online and traditional techniques. Working with brand experts and the private sector. Large amounts of evidence. Resources.
Statutes. Prosecutorial theories. State-specific discussion.
Hands-on experience. Work with real counterfeit products. Identify fakes with expert guidance.

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. Instruction on each suite will include an interface overview, configuration, hashing, file signature analysis, keyword searching, data carving, bookmarking, and report creation.

*Digital forensic process. Evidence review; requests for examination; case management.
*Validation. Creation of validation images; validation testing.
*Effective tool usage. Tool interface; hashing; file signature analysis; data carving; searching; metadata; bookmarking.
*Reporting. General report structure; report templates; using tool-generated reports.

To offer training and support to these grantees on a national level, BJA, with the support of its technical assistance provider, The Council of State Governments Justice Center (CSGJC), will convene a Justice and Mental Health Collaboration Program (JMHCP) and Connect and Protect (C&P) Grantee Virtual Symposium in August 2024.

Over the next year, a team of local and state experts will be providing you with all the basics to get you and your team started with building a cryptocurrency program. We will discuss why you need to know about crypto and how current scams use it. We'll give you the basics including how it works, how to seize it, how to store it, and how to return it to victims. We will talk about how to engage with exchanges and how to read their returns. We'll provide you with best practice information and sample warrants. At the end of this year, you'll have the education, the samples, and the community to move forward with your cryptocurrency practice.

Presented by:
Erin West, Founder, Operation Shamrock

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.

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. Instructors and peers provide feedback on briefings and reports produced and presented in class.

*Foundational skills. Creative thinking. Critical thinking. Critical reading.
*Information sources. Identify sources of intelligence information. Evaluate sources for validity and reliability.
*Analytical reports. Develop a structured and actionable analytical report based on a data set given in class.
*Privacy considerations. Ensure protection of privacy and civil rights while producing intelligence products.
*Briefings. Construct and deliver an intelligence briefing based on a data set given in class.

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