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SCHEDULE: NOV 16-22, 2013

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SESSION: Preparing for next pandemic by harnessing the power of pervasive supercomputing and Bigdata

EVENT TYPE: Emerging Technologies

TIME: 3:50PM - 4:10PM

Presenter(s):Christopher L. Barrett, Keith R. Bisset, Madhav V. Marathe

ROOM:Booth 3947

We will showcase a 15 year program on Computational Epidemiology: development and use of computer models, bigdata and novel decision support systems for understanding the spatio-temporal diffusion of disease through populations. Controlled experiments used to understand scientific phenomenon is much harder and often impossible to do when studying epidemiology, due to ethical, and often practical reasons. As a result, computational models play an important role in elucidating the space-time dynamics of epidemics. They also serve an important role in evaluating various intervention strategies, including pharmaceutical and non-pharmaceutical interventions. Recent advances in high performance computing, bigdata, software services and proliferation of the web and handheld devices and sensors have created entirely new opportunities to understand epidemics and devise new ways to control them. By combining videos, talks and interactive sessions with web-based decision support systems, we will showcase our program highlighting the use of pervasive high performance computing technologies to support real-world public health policy case studies.

Chair/Presenter Details:

Christopher L. Barrett - Virginia Tech

Keith R. Bisset - Virginia Tech

Madhav V. Marathe - Virginia Tech

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