This project applies agent-based modeling (ABM) techniques to better understand the operation, organization, and structure of a local heroin market. The simulation detailed was developed using data from an 18-month ethnographic case study. The original research, collected in Denver, CO during the 1990s, represents the historic account of users and dealers who operated in the Larimer area heroin market. Working together, the authors studied the behaviors of customers, private dealers, street-sellers, brokers, and the police, reflecting the core elements pertaining to how the market operated. After evaluating the logical consistency between the data and agent behaviors, simulations scaled-up interactions to observe their aggregated outcomes. While the concept and findings from this study remain experimental, these methods represent a novel way in which to understand illicit drug markets and the dynamic adaptations and outcomes they generate. Extensions of this research perspective, as well as its strengths and limitations, are discussed.
Researching a local heroin market as a complex adaptive system
Hoffer, LD., Bobashev, G., & Morris, R. (2009). Researching a local heroin market as a complex adaptive system. American Journal of Community Psychology, 44(3-4), 273-286. https://doi.org/10.1007/s10464-009-9268-2
To contact an RTI author, request a report, or for additional information about publications by our experts, send us your request.
Multifaceted risk for non-suicidal self-injury only versus suicide attempt in a population-based cohort of adults
Development of a novel shared decision making aid for primary immunodeficiency diseases
Community overdose surveillance