Realistic Computational Modeling of Human Trafficking Requires Lived Experience Experts

Computational approaches offer much promise in human trafficking research. Yet, computational approaches are only as good as the assumptions and data behind them. If divorced from grounded domain expertise, models run the risk of fuzzy conceptualizations, overgeneralizations, and use of unreliable data. This article describes how our transdisciplinary team of engineers, social scientists, and survivor-centered research partners combine our expertise to identify accurate conceptualizations, practical assumptions, limitations, and data needed to create mathematical models of sex trafficking recruitment and network operations. Even well-meaning research can cause harm if an inaccurate, partial or misleading interpretation of human trafficking data and results is used to shape policy. We make the case for the value of lived experience expertise to develop computational models of human trafficking that are realistic, practical, and use-focused so they can drive policy and practice.