The next C3.ai Digital Transformation Institute Colloquium on Digital Transformation Science is Thursday, August 27 at 3:00 p.m. via Zoom. The talk, "Targeted Dynamic Interventions in Networked Epidemic Models," will be presented by Asuman Ozdaglar, MathWorks Professor of Electrical Engineering and Computer Science, MIT, and Francesca Parise, Assistant Professor of Electrical and Computer Engineering, Cornell University. Registration for the Zoom webinar is required.
Abstract: Epidemic spread models are playing an increasingly central role for understanding and policy making in the context of the COVID-19 pandemic. Many of these models consider homogeneous populations, thus failing to capture rich heterogeneities in terms of risk factors, vulnerabilities, economic participation, location, and social interactions. In this talk, we will present networked SIR models that capture groups of agents with different characteristics and interaction patterns. We will then discuss targeted dynamic interventions in terms of testing and lockdown policies that minimize spread of infection while also containing social and economic damages. Our focus will be on dynamic time-varying policies that adaptively adjust as a function of the infection level in the community.
The Colloquium on Digital Transformation is a series of weekly online talks on how artificial intelligence, machine learning, and big data can lead to scientific breakthroughs with large-scale societal benefit. The summer/fall series focuses on COVID-19 mitigation research.
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