Director, Data Science for Dynamic Decision-making Center (d3c)
Professor, Institute for Social Research
University of Michigan

Friday, January 19, 2024 | 12:15 – 1:15 PM

 

“Optimizing the Integration Between Digital and Human-delivered Intervention Components: The Hybrid Experimental Design”

InCHIP, Fisher Conference Room, 2006 Hillside Rd, Storrs Campus
(main entry faces the center of Alumni Quad)

Dr. Nahum-Shani’s primary research interest is harnessing adaptive interventions to transform health care. Adaptive interventions address the changing needs of individuals by modifying their treatment based on dynamic information about their state and progress. An important focus of her work is the Just-In-Time Adaptive Intervention (JITAI), a special type of adaptive intervention that leverages powerful mobile and sensing technologies to adapt the delivery of support in real-world settings—in near real-time. Her work is highly multidisciplinary, spanning behavioral health and applied psychology, while also being tightly integrated with advanced research methodology. She developed the Hybrid Experimental Design (HED) to help health scientists optimize the integration of human-delivered (e.g., coaching session) components with digital (e.g., mobile-based) components, which necessitates adaptation on multiple timescales.

*In-person only event. Lunch will not be available at the lecture. We apologize for any inconvenience.

Registration is closed.