Measuring and Modeling Human Trafficking: A Data-Driven Approach


Posted on in Presentations

What does it take to predict your adversary’s next move? Dr. Eric Laber and Sherrie Caltagirone applied an adversarial-decision model to illicit human-trafficking markets and asked tough questions about where victims will be moved and what services traffickers will employ. Come see what worked, what didn’t and how you can apply this model to any adversarial situation you encounter.

Learning Objectives:
1: Learn how to apply adversarial decision-making models.
2: Discover how to break down an adversarial problem into disruption opportunities.
3: Understand trafficking is a data problem that can be tackled with analytics and math.

Participants
Sherrie Caltagirone

Participant

Executive Director, Global Emancipation Network

Marshall Wang

Participant

Doctoral Student, North Carolina State University

Analytics Intelligence & Response

cyber espionage artificial intelligence & machine learning policy management cyber warfare & cyber weapons


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