Author URLs
Document Type
Article
Publication Date
2016
MeSH Terms
Human Trafficking, Data Mining
Subject: LCSH
Human trafficking, Operations research, Data mining
Disciplines
Forensic Science and Technology
Abstract
Human trafficking is a transnational complex societal and economic issue. While human trafficking has been studied in a variety of contexts, including criminology, sociological, and clinical domains, to date there has been very little coverage in the operations research (OR) and analytics community. This paper highlights how operations research and analytics techniques can be used to address the growing issue of human trafficking. It is intended to give insight to operations research and analytics professionals into the unique concerns, problems, and challenges in human trafficking; the relevance of OR and analytics to key pillars of human trafficking including prevention, protection, and prosecution; and to discuss opportunities for OR and analytics to make a difference in the human trafficking domain. We maintain that a profound need exists to explore how operations research and analytics can be effectively leveraged to combat human trafficking, and set forth this call to action to inhibit its pervasiveness.
DOI
10.1016/j.ejor.2016.10.049
Repository Citation
Konrad, Renata A.; Trapp, Andrew C.; and Palmbach, Timothy, "Overcoming Human Trafficking via Operations Research and Analytics: Opportunities for Methods, Models, and Applications" (2016). Forensic Science Publications. 26.
https://digitalcommons.newhaven.edu/forensicscience-facpubs/26
Publisher Citation
Konrad, R. A., Trapp, A.C., Palmbach, T.M., & Blom, J.S. Overcoming human trafficking via operations research and analytics: Opportunities for methods, models, and applications. European Journal of Operational Research, 259(2):733–745, June 1, 2017 (published online 2 November 2016).
Comments
This is the authors' pre-print version of the article published in European Journal of Operational Research. The version of record can be found at http://dx.doi.org/10.1016/j.ejor.2016.10.049.