MCCHE Precision Convergence Webinar Series: February 16, 2022
Contagion science over multiplex networks: The role of AI and computing
Dr. Madhav Marathe
With a high-level panel of leaders in science, technology, on-the-ground action, investment, and policy
Real-world social habitats are often represented as multiplexed co-evolving networks. Reasoning about such networks is complicated and scientifically challenging due to their size, co-evolutionary nature and multiple contagions spreading simultaneously. Examples include: The 2019 COVID-19 pandemic, 2014 Ebola epidemic, 2009 financial crisis, global migration, information propagation over social media, societal impacts of natural and human initiated disasters and the effect of climate change. Advances in computing have fundamentally altered how such multiplex networks can be synthesized, analyzed and reasoned. The talk will focus on the foundations and advanced computing technologies needed to study multiplexed co-evolving sociotechnical networks with the aim of developing scalable and practical decision support systems. I will draw on our work in urban transport planning, national security and public health epidemiology to guide the discussion.
About the speaker
Madhav Marathe is a Distinguished Professor in Biocomplexity, the division director of the Network Systems Science and Advanced Computing Division at the Biocomplexity Institute and Initiative, and a Professor in the Department of Computer Science at the University of Virginia. His research interests are in network science, computational epidemiology, AI, foundations of computing and high performance computing. Over the last 20 years, his division has supported federal and state authorities in their effort to combat epidemics in real-time, including the H1N1 pandemic in 2009, the Ebola outbreak in 2014 and most recently the COVID-19 pandemic. Before joining UVA, he held positions at Virginia Tech and the Los Alamos National Laboratory. He is a Fellow of the IEEE, ACM, SIAM and AAAS.
About the series
The Precision Convergence series is launched to catalyze unique synergy between, on the one hand, novel partnerships across sciences, sectors and jurisdictions around targeted domains of real-world solutions, and on the other hand, a next generation convergence of AI with advanced research computing and other data and digital architectures such as , and supporting data sharing frameworks such as , informing in a real time as possible the design, deployment and monitoring of solutions for adaptive real-world behavior and context.
The Precision Convergence Webinar Series is co-hosted by The 六合彩开奖结果 Centre for the Convergence of Health and Economics (MCCHE) at 六合彩开奖结果 and , a joint computational research center between Carnegie Mellon University and the University of Pittsburgh.
