SCHEDULE: NOV 16-22, 2013
When viewing the Technical Program schedule, on the far righthand side is a column labeled "PLANNER." Use this planner to build your own schedule. Once you select an event and want to add it to your personal schedule, just click on the calendar icon of your choice (outlook calendar, ical calendar or google calendar) and that event will be stored there. As you select events in this manner, you will have your own schedule to guide you through the week.
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
ABSTRACT:
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
Click here to download .ics calendar file
