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Lizbeth 'Libby' Benson, PhD, is a tenure track Research Assistant Professor in the Data Science for Dynamic Intervention Decision Making Center (d3c) at the University of Michigan's Survey Research Center (SRC) and Institute for Social Research (ISR). Before moving to Michigan, Libby completed a Postdoctoral Research Fellow at the TSET Health Promotion Research Center within the University of Oklahoma Health Sciences Center and NCI-designated Stephenson Cancer Center. She received her PhD from the Pennsylvania State University in the department of Human Development and Family Studies, served as a Research Coordinator for 3 years at the University of Pennsylvania Positive Psychology Center, and completed her BA in Psychology from the University of Wisconsin-Madison.
Libby’s research program is focused on intensive longitudinal methods for examining temporal dynamics of affective, social, and health behavior experiences using ecological momentary assessment and sensor-based data collected from individuals in their daily lives. Her goals are to understand how behavioral processes unfold across multiple time-scales and contexts, and how this knowledge can be used to build personalized interventions that can facilitate health behavior change with long-term impacts on both lifespan and high quality of life years (healthspan). Data visualization is also an important component of Libby's work as a way to better understand complex behavioral processes, to generate new ideas, and to use as a tool for scientific communication. Currently, Libby is writing a NIH K01 focused on developing a reinforcement learning algorithm for personalizing decision rules in a just-in-time adaptive intervention (JITAI) for smoking cessation.
For more details on Libby's published research, please click on the CV page on this website or her Google Scholar page.
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