Stanford EE Computer Systems Colloquium 4:15PM, Wednesday, January 21, 2015 NEC Auditorium, Gates Computer Science Building Room B3 http://ee380.stanford.edu
Computational Epidemiology: The role of big data and pervasive informatics Madhav Marathe Network Dynamics and Simulation Science Laboratory Virginia Bio-Informatics Institute Dept. of Computer Science Virginia Tech *CORRECTION: This talk will be given January 21 not January 14 as previously announced.* *About the talk: * Pandemics such as H1N1 influenza are global outbreaks of infectious disease. Human behavior, social contact networks, and pandemics are closely intertwined. The ordinary behavior and daily activities of individuals create varied and dense social interactions that are characteristic of modern urban societies. They provide a perfect fabric for rapid, uncontrolled disease propagation. During the course of an epidemic, individuals and institutions modify their normal behavior based on their perceived severity and risk. The resulting co-evolution of individual and collective behaviors, contact networks and epidemics must be taken into account while designing effective planning and response strategies. Recent advances in high performance pervasive computing and big data have created new opportunities for collecting, integrating, analyzing and accessing information about evolving social interactions. The advances in network and information science that build on this new capability provide entirely new ways for reasoning and controlling epidemics. In this talk I will overview of the state of the art in computational networked epidemiology with an emphasis on computational thinking and high performance computing oriented decision-support environments to support planning and response in the event of pandemics. I will describe our approach within the context of a specific recent application: modeling to support Ebola Outbreak Response in West Africa. *Slides: * There is no downloadable version of the slides for this talk available at this time. *Videos: * - Join the live presentation. <http://coursematerials.stanford.edu/live/ee380.asx> Wednesday January 21, 4:15-5:30. Requires Microsoft Windows Media player. - View video by lecture sequence. <https://mvideos.stanford.edu/graduate#/SeminarDetail/Winter/2015/EE/380> Winter 2015 only, HTML5. Available after 8PM on the days of the lecture. - View Video on YouTube about 24 hours after the day of the lecture. *About the speaker: * [image: [speaker photo]] Madhav Marathe is the director of the Network Dynamics and Simulation Science Laboratory and professor in the Department of Computer Science, Virginia Tech. His research interests are in computational epidemiology, network science, design and analysis of algorithms, computational complexity, communication networks and high performance computing. Before coming to Virginia Tech, he was a Team Leader in the Computer and Computational Sciences division at the Los Alamos National Laboratory (LANL) where he led the basic research programs in foundations of computing and high performance simulation science for analyzing extremely large socio-technical and critical infrastructure systems. He is a Fellow of the IEEE, ACM and was recently elected as an AAAS Fellow. *Contact information: * Madhav Marathe Email: mmara...@vbi.vt.edu *ABOUT THE COLLOQUIUM:* See the Colloquium website, http://ee380.stanford.edu, for scheduled speakers, FAQ, and additional information. Stanford and SCPD students can enroll in EE380 for one unit of credit. Anyone is welcome to attend; talks are webcast live and archived for on-demand viewing over the web.
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