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X-WR-CALNAME;VALUE=TEXT:Madhav Marathe: Real-time pandemic planning and response: experiences from the ongoing  COVID-19 pandemic
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SUMMARY:Madhav Marathe: Real-time pandemic planning and response: experiences from the ongoing  COVID-19 pandemic
DESCRIPTION:<p><strong>Title</strong>:&nbsp;Real-time pandemic planning and response: experiences from the ongoing &nbsp;COVID-19 pandemic</p><p><strong>Abstract</strong>: 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.<br><br>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.</p><p>Recording of the talk:&nbsp;<a href="https://youtu.be/Js62DIn-BZ4">https://youtu.be/Js62DIn-BZ4</a></p><h2>Madhav Marathe (University of Virginia)</h2><p>&nbsp;</p><drupal-media alt="Madhav Marathe" data-entity-type="media" data-entity-uuid="b5854511-4e4a-4874-a69b-f1390997b168" data-align="left">&nbsp;</drupal-media><p>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.&nbsp;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.&nbsp;&nbsp;<br><br>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.&nbsp; Before joining UVA, he held positions at Virginia Tech and the Los&nbsp; Alamos National Laboratory.</p><p>&nbsp;</p>
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DTSTART:20201026T180000Z
DTEND:20201026T180000Z
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