Modeling cocaine traffickers and counterdrug interdiction forces as a complex adaptive system

Nicholas R. Magliocca, Kendra McSweeney, Steven E. Sesnie, Elizabeth Tellman, Jennifer A. Devine, Erik Nielsen, Zoe Pearson, David J. Wrathall

Research output: Contribution to journalArticle

Abstract

Counterdrug 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. Param-eterization 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.

Original languageEnglish (US)
Pages (from-to)7784-7792
Number of pages9
JournalProceedings of the National Academy of Sciences of the United States of America
Volume116
Issue number16
DOIs
StatePublished - Apr 16 2019

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Cocaine
Security Measures
Pharmaceutical Preparations
Central America
Information Storage and Retrieval
Decision Making
Cats
Research

Keywords

  • Agent-based model
  • Drug policy reform
  • Illicit economy
  • Illicit supply networks
  • Transaction costs

ASJC Scopus subject areas

  • General

Cite this

Modeling cocaine traffickers and counterdrug interdiction forces as a complex adaptive system. / Magliocca, Nicholas R.; McSweeney, Kendra; Sesnie, Steven E.; Tellman, Elizabeth; Devine, Jennifer A.; Nielsen, Erik; Pearson, Zoe; Wrathall, David J.

In: Proceedings of the National Academy of Sciences of the United States of America, Vol. 116, No. 16, 16.04.2019, p. 7784-7792.

Research output: Contribution to journalArticle

Magliocca, Nicholas R. ; McSweeney, Kendra ; Sesnie, Steven E. ; Tellman, Elizabeth ; Devine, Jennifer A. ; Nielsen, Erik ; Pearson, Zoe ; Wrathall, David J. / Modeling cocaine traffickers and counterdrug interdiction forces as a complex adaptive system. In: Proceedings of the National Academy of Sciences of the United States of America. 2019 ; Vol. 116, No. 16. pp. 7784-7792.
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