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An Introduction to the Applications of Operations Research and Data Science in Disrupting Illicit Markets

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Acknowledgements

This publication was developed under an appointment of the corresponding guest editor of Annals of Operations Research—Special Issue: Applications of Operations Research and Data Science in Disrupting Illicit Markets and PI (Michel FATHI) to the DHS Summer Research Team Program for Minority Serving Institutions, administered for the U.S. Department of Homeland Security (DHS) by the Oak Ridge Institute for Science and Education (ORISE) through an interagency agreement between DHS and the U.S. Department of Energy (DOE). ORISE is managed by Oak Ridge Associated Universities (ORAU) under DOE contract number DE-SC0014664. This document has not been formally reviewed by DHS. The views and conclusions contained in this document are those of the authors and should not be interpreted as necessarily representing the official policies, either expressed or implied, of DHS, DOE, or ORAU/ORISE. DHS, DOE and ORAU/ORISE do not endorse any products or commercial services mentioned in this publication. Also, the research of the first author has been supported by a University of North Texas College of Business Summer Research Grant.

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Authors and Affiliations

  1. G. Brint Ryan College of Business, University of North Texas, Denton, TX, USA

    Michel Fathi

  2. Department of Industrial and Systems Engineering, University of Florida, Gainesville, FL, USA

    Panos M. Pardalos

  3. Spears School of Business, Oklahoma State University, Stillwater, OK, USA

    Dursun Delen

  4. Faculty of Economics and Management, University of Kassel, Kassel, Germany

    Stefan Gold

  5. School of Engineering and Science, Tecnologico de Monterrey, Monterrey, NL, Mexico

    Marzieh Khakifirooz

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  1. Michel Fathi
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  2. Panos M. Pardalos
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  3. Dursun Delen
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  4. Stefan Gold
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  5. Marzieh Khakifirooz
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Correspondence to Michel Fathi.

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Fathi, M., Pardalos, P.M., Delen, D. et al. An Introduction to the Applications of Operations Research and Data Science in Disrupting Illicit Markets. Ann Oper Res 335, 641–644 (2024). https://doi.org/10.1007/s10479-024-05919-4

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  • DOI: https://doi.org/10.1007/s10479-024-05919-4

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