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SUMMARY:Roni Rosenfeld (Carnegie Mellon University)
DTSTART:20200521T190000Z
DTEND:20200521T203000Z
DTSTAMP:20260423T003258Z
UID:IASML/2
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/IASML/2/">Fo
 recasting epidemics and pandemics</a>\nby Roni Rosenfeld (Carnegie Mellon 
 University) as part of IAS Seminar Series on Theoretical Machine Learning\
 n\n\nAbstract\nEpidemiological forecasting is critically needed for decisi
 on making by national and local governments\, public health officials\, he
 althcare institutions and the general public. The Delphi group at Carnegie
  Mellon University was founded in 2012 to advance the theory and technolog
 ical capability of epidemiological forecasting\, and to promote its role i
 n decision making\, both public and private. Our long term vision is to ma
 ke epidemiological forecasting as useful and universally accepted as weath
 er forecasting is today. I will describe some of the methods we developed 
 over the past eight year for forecasting flu\, dengue and other epidemics\
 , and the challenges we faced in adapting these method to the COVID pandem
 ic in the past few months.\n
LOCATION:https://researchseminars.org/talk/IASML/2/
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