Behavioral Analysis

Our work in behavioral analysis centers on discovering, understanding, and transforming analytic workflows within technology-enabled tradecraft. A key focus is the development of Anticipatory Intelligence, which is one of the top mission objectives in the 2014 National Intelligence Strategy.

Analytic workflow refers to the method by which users apply personal knowledge, experience, skills, tools, and organizational resources to accomplish tasks through work processes. Our objectives are to understand the factors that govern workflow specific to knowledge-based analytic tasks in order to identify methods of improving workflow. Our ultimate goal is to generate a series of processes, methods, systems, and tools by which users can produce work products more efficiently and/or that are of higher quality, via methods that they find more rewarding and that support positive psychological effects such as job satisfaction and skill development. Our grand vision is the creation of a flexible and self-sustaining Analytic Workflow Methodology (AWM) for extracting, characterizing, evaluating, and recommending workflow across novel situations and work environments.

Some of the key enabling areas of research and application include:

  • Metrics for characterizing analytic workflows and analytic rigor for individuals, groups, and organizations
  • Metrics for privacy, disclosure risk, and data utility
  • Instrumentation and data collection for analytic workflows (individual, group, organization, machine)
  • Analytics for workflow discovery
  • Analytics for workflow optimization
  • Models for capturing and analyzing workflows
  • Human information processing in “big data” environments
  • Decision-making in volatile, uncertain, complex, and ambiguous task environments
  • Evaluating and creating trust in data and analytic processes

From Our Team

“LAS has been a good place to advance my own research about communication patterns and social network analysis. The complex structure of the laboratory represents an intellectual challenge and this environment encourages me to be creative. Also, one of the best things about being involved with LAS is that I know for sure that my work is having an impact in real life situations.”

“On top of all that, by working with LAS I’ve had the opportunity to get to know interesting and smart people from all backgrounds. I’ve been working with industry partners, government staff, faculty members and other graduate students, for me this is a good mixture to get a sense of the different work cultures and improve my approach to academic research.”

Hector Rendon
Ph.D. Candidate and Fulbright Grantee
Communication, Rhetoric and Digital Media
North Carolina State University


Connect With Us

LAS aims to bring together a multi-disciplinary group of academic, industry, and government researchers, analysts and managers together to re-engineer the intelligence analysis process to promote predictive analysis. LAS will do this by conducting both classified and unclassified research in a variety of areas of research. The research done in this area will serve as the foundation for mission effects and integrated back into the enterprise.

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