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Editor Login


Convener in chief:


David Lazer
(Methodology, Networked Governance)

Editors:


Stanley Wasserman
(Current Trends, Methodology, Social Networks)

Guy Stuart
(Economic Sociology, Finance)

David Gibson
(Social Networks, Interaction, Theory)

Allan Friedman
(Simulations)

Jukka-Pekka Onnela
(Methodology, Social Networks, Technology)

Nathan Eagle
(Technology, Social Computing, Powerlaws, Current Trends)

Ben Waber
(Technology, Social Computing)
Ines Mergel
(Knowledge Sharing, Social Computing, Social Software, Government 20)

Maria Binz-Scharf
(Qualitative Methodology, Knowledge Sharing, eGovernment)

Alexander Schellong
(Admin, eGovernment, Government 20, Citizen Relationship Management)

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« U.S. Senate Voting Patterns 1991-today | Main | Call for papers: ENGAGING DATA First International Forum on the Application and Management of Personal Electronic Information »

6 May 2009

Marathe on "Decision and Policy Informatics for Large Co-Evolving Socio-Technical Networks"

We have a bonus talk in the Cambridge Colloquium on Complexity and Social Networks:

Madhav Marathe (Virginia Tech)

"Decision and Policy Informatics for Large Co-Evolving Socio-Technical Networks"

Human behavior, social networks, and the civil infrastructures are closely intertwined. Understanding their co-evolution is critical when formulating public policies for sustainable societies. In this talk, I will summarize our ongoing integrated program to represent and reason about very large co-evolving social, technological, information and organization (STIO) networks. The program comprises of the following components: (i) a mathematical and computational theory of co-evolving STIO networks and (ii) an integrated high performance oriented pervasive cyber-environment that provides analysts and decision makers a web-based environment that provides seamless access to the models, data and synthetic information for policy planning and response.

After a brief overview, I will describe our approach as it pertains to epidemic processes in social and wireless networks. Understanding these epidemiological processes is of immense societal importance. Additionally they serve as excellent "model organisms" for developing a theory and informatics of co-evolving socio-technical networks. Perhaps more intriguing, recent advances in wireless communications provide compelling reasons for studying these networks together. I will discuss this possibility in my concluding remarks.

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The talk will be in Taubman 275 at noon. As usual, a light lunch will be served.

Posted by David Lazer at May 6, 2009 10:03 PM