Join us from August 24 through December 14 at the AI for Social Impact Seminar Series. This seminar series will explore how artificial intelligence can contribute to solving social problems.
Artificial intelligence is poised to play an increasingly large role in societies across the world. Accordingly, there is a growing interest in ensuring that AI is used in a responsible and beneficial manner. A range of perspectives and contributions are needed, spanning the full spectrum from fundamental research to sustained deployments.
This seminar series will explore how artificial intelligence can contribute to solving social problems. For example, what role can AI play in promoting health, access to opportunity, and sustainable development? How can AI initiatives be deployed in an ethical, inclusive, and accountable manner?
Title: Real-time pandemic planning and response: experiences from the ongoing COVID-19 pandemic
Abstract: COVID-19 pandemic represents an unprecedented global crisis. Its global economic, social and health is already staggering and will continue to grow. Computation and, more broadly, computational thinking plays a multi-faceted role in supporting global real-time epidemic science especially because controlled experiments are impossible in epidemiology. High performance computing, data science and new sources of massive amounts of data from device-mediated interactions have created unprecedented opportunities to prevent, detect and respond to pandemics.
In this talk, using COVID-19 as an exemplar, I will describe how scalable computing, AI and data science can play an important role in advancing real-time epidemic science.
Recording of the talk: https://youtu.be/Js62DIn-BZ4
Madhav Marathe (University of Virginia)
Madhav Marathe is an endowed Distinguished Professor in Biocomplexity, Director of the Network Systems Science and Advanced Computing (NSSAC) Division, Biocomplexity Institute and Initiative, and a tenured Professor of Computer Science at the University of Virginia (UVA). He is a passionate advocate and practitioner of transdisciplinary team science. During his 25-year professional career, he has established and led a number of large transdisciplinary projects and groups. His areas of expertise are network science, artificial intelligence, high performance computing, computational epidemiology and data analytics. Dr. Marathe has published more than 350 articles in peer reviewed journals, conferences and workshops. Mentoring and training next generation scientists has been his life-long passion.
Dr. Marthe earned his B.Tech in computer science and engineering from the Indian Institute of Technology Madras, his Ph.D. in computer science from University of Albany, SUNY. Before joining UVA, he held positions at Virginia Tech and the Los Alamos National Laboratory.