Chapter

Advancing the Impact of Design Science: Moving from Theory to Practice

Volume 8463 of the series Lecture Notes in Computer Science pp 69-84

Data Analytics and Human Trafficking

  • Kena FedorschakAffiliated withDecision Theater, Arizona State University
  • , Srivatsav KandalaAffiliated withDecision Theater, Arizona State University
  • , Kevin C. DesouzaAffiliated withDecision Theater, Arizona State University
  • , Rashmi KrishnamurthyAffiliated withDecision Theater, Arizona State University

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Abstract

Human trafficking is recognized internationally as an extreme form of violence against women, children, and men. Despite the fact that human trafficking is universally understood to be a burgeoning social problem, a paucity of data and insight into this issue exists. Data analytics has immense potential to elucidate trends in complex social data and inform future policy. We undertook a design science-inspired research approach to build datasets on human trafficking. Three prototypes are presented that describe the methodologies of human traffickers, display correlations between calls reporting suspected trafficking activity and various demographic data, and explicate the effectiveness of US anti-trafficking funding projects.

Keywords

human trafficking sex trafficking data analytics