The goal of this project is to apply innovative computational approaches to one of the most extensive and racially/ethnically diverse collection of real time, real world data on health behavior change (smoking cessation) to inform the development of theory-driven behavioral interventions.
Grant/Award: NIH-1U01CA229437
Lead PI: Dr. Inbal Nahum-Shani, University of Michigan
