Invited lecture on modeling alcohol impaired decisions, Johns Hopkins University

"A new perspective on modeling decision making within the addiction sciences" - Talk presented to Johns Hopkins University Behavioral Pharmacology Research Unit, February, 2021. I demonstrate how Bayesian cognitive modeling can be used to better understand how individuals make alcohol impaired decisions, specifically the decision to engage in alcohol impaired driving.

McCarthy, D. M., McCarty, K. N., Hatz, L., Prestigiacomo, C. J., Park, S., & Davis-Stober, C. P. (2021). Applying Bayesian cognitive models to decisions to drive after drinking. Addiction, 116, 1424-1430. doi.org/10.1111/add.15302