Sharkey, T.C., Martin, L., Ayler, T., Barrick, B., Forliti, T., Friedman, J., Maass, K.L., Mariotti, M., Nelson, C., & Tezcan, B. (2025). Realistic computational modeling of human trafficking requires lived experience experts. Forthcoming in the Journal on Human Trafficking.
Barrick, K., Martin, L., Matthias, C., & Farrell, A. (2025). Assessing the use of law enforcement and prosecutorial case files to understand sex trafficking in the United States: Caveats and considerations. Forthcoming in the Journal on Human Trafficking.
Kosmas, D., Sharkey, T. C., Mitchell, J. E., Maass, K. L., & Martin, L. (2024b). Multi-period max flow network interdiction with restructuring for disrupting domestic sex trafficking networks. Annals of Operations Research, 335(2), 797-860.
Kosmas, D., Melander, C., Singerhouse, E., Martin, L., Barrick, K., Maass, K.L., & Sharkey, T.C. (2024a). A transdisciplinary approach for generating synthetic but realistic domestic sex trafficking networks. IISE Transactions, 56(3), 340-354.
Clark, M., Sharkey, T.C., Ayler, T., Forliti, T., Friedman, J., Mariotti, M., Nelson, C., & Martin, L. (2023). Modeling disruptions for sex trafficking networks with multiple forced illegal activities. Forthcoming in the Journal of Human Trafficking.
Barrick, K., Maass, K.L., Sharkey, T.C., Song, Y., & Martin, L. (2023). Expanding our understanding of traffickers and their operations: A review of the literature and path forward. Forthcoming in Trauma, Violence, & Abuse.
Martin, L., Matthias, C., Abeyta, S., Kafafian, M., Barrick, K., & Farrell, A. (2023). Mechanisms of recruitment into sex trafficking operations: A systematic review. Global Crime, 24(4), 239-262.
Martin, L., Gupta, M., Maass, K. L., Melander, C., Singerhouse, E., Barrick, K., Samad, T., Sharkey, T.C., Ayler, T., Forliti, T., Friedman, J., Nelson, C., & Sortillion, D. (2022). Learning each other’s language and building trust: Community-engaged transdisciplinary team building for research on human trafficking operations and disruption. International Journal of Qualitative Methods, 21, 16094069221101966.
Sharkey, T.C., Barrick, K., Farrell, A., Maass, K.L., Martin, L. and Song, Y. (2021) Better together: A transdisciplinary approach to disrupt human trafficking. ISE Magazine, 51(11), 34–39.
Martin, L., Maass, K.L., Barrick, K., Sharkey, T.C., Farrell, A., Matthias, C., Tezcan, B., Williams, M., Ayler, T., Forliti, T., Friedman, J., Mariotti, M., Nelson, C., Brown, C., & Florey, M. (2024). Identification of effective strategies to disrupt recruitment of victims in human trafficking: Qualitative data, systems modeling, survivors, and law enforcement. NIJ Final Report of 2020-MU-MU-0040.
Yow, K. (2024). A Transdisciplinary, Survivor-Centered Approach for Creating a System Dynamics Model of Closed-Buyer Sex Trafficking Networks. Master’s Thesis, Department of Industrial Engineering, Clemson University.
Tezcan, B. (2024). Network Models for Illicit Operations and Extensions to Human Trafficking. PhD Dissertation, Department of Mechanical and Industrial Engineering, Northeastern University.
Diaz, M. (2022). Generating Sex Trafficking Networks from Text Documents. Master’s Thesis, Department of Industrial Engineering, Clemson University.
Clark, M.T. (2022). Interdiction Models to Disrupt the Operations of Sex Trafficking and Other Forced Illicit Labor Networks. Master’s Thesis, Department of Industrial Engineering, Clemson University.
Kosmas, D. (2022). Integer Optimization for the Understanding and Disruption of Illicit Networks. PhD Dissertation, Department of Mathematical Sciences, Rensselaer Polytechnic Institute.
Maass, K.L., Tezcan, B., Hodsden, M., Zhang, M., Cheung, R., Farrell, A., Sharkey, T., Barrick, K., Matthias, C., Williams, M., Brown, C., Florey, M. Ayler, T., Friedman, J., Nelson, C., Forliti, T., Mariotti, M. & Martin, L. (2023). Reducing Susceptibility to Sex Trafficking Requires Community Support and Resources.
Recommendations to the OR Community on Do's and Dont's of Survivor-Engaged Research (updated October 2024).