This paper will discuss the underlying causes of human trafficking that present challenges to both
modeling and counter-trafficking efforts and conduct a literature review of previous kill chain and
trafficking modeling efforts. It will also set forth areas for future research. Primarily, this paper
presents a novel way of thinking about human trafficking, both a formal and informal tool to
discover traffickers’ actions, predict future events, maximize intelligence opportunities, and
pursue both traffickers and victims over time and geography. This model also lays the foundation
for a mathematical framework by which adversarial decision-making theories and models may be
applied in a formal manner which allows for testable hypotheses and metrics of effectiveness.