|Decision Making and Data Science Lab
I study how individuals make risky choices and whether they do so in consistent, predictable ways that reveal their motivations and goals. My lab uses the language of mathematics and statistical modeling to make these concepts precise and testable. In collaboration with other labs, I seek to better understand decision making across many experimental and observational settings, with a particular focus on risky decisions involving alcohol and addictions. In tandem with our empirical investigations, my lab develops and applies advanced quantitative methods to make sound statistical inferences and predictions. This scope of work includes Bayesian cognitive modeling, order-constrained statistical inference, network modeling, and machine learning. The lab has received funding from the National Institutes for Health and the National Science Foundation. I support transparency in science by making data, code, and related materials publicly available on established file sharing websites.
|Clintin P. Davis-Stober|
|Medical Decision Research Lab (MDRL)
We broadly seek to apply decision psychology and behavioral economics to inform practical problems in medical decision making. Recent work has focused on applications to Clinical Decision Support Systems and Patient Decision Aids.
Medical Decision Research Lab flyer
|Victoria Shaffer||220 Noyes|