April 17, 2014
Dynamical systems models were developed in engineering to describe complex systems using differential equations. Methodology Center Director Linda Collins and Daniel Rivera, professor of chemical engineering at Arizona State University, recently completed a National Institute on Drug Abuse (NIDA) Roadmap grant (R21 DA024266) in which they applied dynamical systems models to improve behavioral interventions. These models can be used to understand the psychological processes that contribute to the outcomes of behavioral treatments.
In a new publication, the authors applied dynamical systems models to better understand what contributes to relapse during the smoking cessation process. The article, “A dynamical systems approach to understanding self-regulation in smoking cessation behavior change,” appears in the May 2014 special issue of Nicotine and Tobacco Research. The research team included Daniel’s graduate student Kevin Timms, Daniel, Linda, and Megan Piper, assistant professor at the Center for Tobacco Research and Intervention at the University of Wisconsin – Madison.