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dc.contributor.authorMagliocca, Nicholas R. ( Orcid Icon 0000-0002-0971-0207 )
dc.contributor.authorMcSweeney, Kendra ( Orcid Icon 0000-0002-7961-3023 )
dc.contributor.authorSesnie, Steven E. ( )
dc.contributor.authorTellman, Elizabeth ( )
dc.contributor.authorDevine, Jennifer A. ( )
dc.contributor.authorNielsen, Erik A. ( )
dc.contributor.authorPearson, Zoe ( )
dc.contributor.authorWrathall, David J. ( Orcid Icon 0000-0003-1085-6534 )
dc.date.accessioned2019-07-30T19:56:53Z
dc.date.available2019-07-30T19:56:53Z
dc.date.issued2019
dc.identifier.citationMagliocca, N. R., McSweeney, K., Sesnie, S. E., Tellman, E., Devine, J. A., Nielsen, E. A., Pearson, Z., & Wrathall, D. J. (2019). Modeling cocaine traffickers and counterdrug interdiction forces as a complex adaptive system. Proceedings of the National Academic of Sciences, 116(16), pp. 7784-7792.
dc.identifier.urihttps://digital.library.txstate.edu/handle/10877/8422
dc.description.abstractCounterdrug interdiction efforts designed to seize or disrupt cocaine shipments between South American source zones and US markets remain a core US “supply side” drug policy and national security strategy. However, despite a long history of US-led interdiction efforts in the Western Hemisphere, cocaine movements to the United States through Central America, or “narco-trafficking,” continue to rise. Here, we developed a spatially explicit agent-based model (ABM), called “NarcoLogic,” of narco-trafficker operational decision making in response to interdiction forces to investigate the root causes of interdiction ineffectiveness across space and time. The central premise tested was that spatial proliferation and resiliency of narco-trafficking are not a consequence of ineffective interdiction, but rather part and natural consequence of interdiction itself. Model development relied on multiple theoretical perspectives, empirical studies, media reports, and the authors’ own years of field research in the region. Parameterization and validation used the best available, authoritative data source for illicit cocaine flows. Despite inherently biased, unreliable, and/or incomplete data of a clandestine phenomenon, the model compellingly reproduced the “cat-and-mouse” dynamic between narco-traffickers and interdiction forces others have qualitatively described. The model produced qualitatively accurate and quantitatively realistic spatial and temporal patterns of cocaine trafficking in response to interdiction events. The NarcoLogic model offers a much-needed, evidence-based tool for the robust assessment of different drug policy scenarios, and their likely impact on trafficker behavior and the many collateral damages associated with the militarized war on drugs.en_US
dc.formatText
dc.format.extent9 pages
dc.format.medium1 file (.pdf)
dc.language.isoen_USen_US
dc.publisherNational Academy of Sciences
dc.sourceProceedings of the National Academic of Sciences, 2019, Vol. 116, No. 16, pp. 7784-7792
dc.subjectIllicit supply networksen_US
dc.subjectIllicit economy
dc.subjectDrug policy reform
dc.subjectTransaction costs
dc.subjectAgent-based model
dc.titleModeling Cocaine Traffickers and Counterdrug Interdiction Forces as a Complex Adaptive Systemen_US
txstate.documenttypeArticle
dc.identifier.doihttps://doi.org/10.1073/pnas.1812459116
dc.rights.licenseThis open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND).
txstate.departmentGeography


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