Data Analytics and Human Trafficking

  • Kena Fedorschak
  • Srivatsav Kandala
  • Kevin C. Desouza
  • Rashmi Krishnamurthy
Conference paper

DOI: 10.1007/978-3-319-06701-8_5

Volume 8463 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Fedorschak K., Kandala S., Desouza K.C., Krishnamurthy R. (2014) Data Analytics and Human Trafficking. In: Tremblay M.C., VanderMeer D., Rothenberger M., Gupta A., Yoon V. (eds) Advancing the Impact of Design Science: Moving from Theory to Practice. DESRIST 2014. Lecture Notes in Computer Science, vol 8463. Springer, Cham

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 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Kena Fedorschak
    • 1
  • Srivatsav Kandala
    • 1
  • Kevin C. Desouza
    • 1
  • Rashmi Krishnamurthy
    • 1
  1. 1.Decision TheaterArizona State UniversityUSA