Thought some of you might be interested in this.
From: dub-bounces@dub.washington.edu [mailto:dub-bounces@dub.washington.edu]
On Behalf Of Anne E. Hilton
Sent: Tuesday, February 05, 2013 2:11 PM
To: 'hcde-community@uw.edu'; 'dub@dub.washington.edu'
Subject: [dub] Tomorrow: Guest Lecture by Hari Sundaram on Crowdsourcing Change
Please
join the Department of Human Centered Design & Engineering (HCDE) for a guest lecture by Hari Sundaram, Associate Professor at Arizona State University.
Many of the pressing challenges facing contemporary society concern sustainability and public health. For example, how can sustainable behaviors—such as reducing individual energy
consumption—be encouraged? How can participation in activities that reduce overall healthcare costs—such as compliance with preventive care routines and leading healthy lifestyles—be supported? Common to these challenges is a fundamental question: how can
we facilitate cooperative behavior adoption on a large scale?
The conditions for self-governance found in small groups do not apply in large populations. As a result, the question of how cooperation can be facilitated in large populations remains
unanswered and is the focus of my work. In this talk, I shall discuss the computational tools needed—analysis of social signals from networks and knowledge of human activity from physical sensors—to engender cooperation in heterogenous populations. I shall
discuss in depth our work on discovering homogenous groups, and discuss in brief two data science challenges: network sampling, compressed sensing techniques to analyze large scale network changes. Central to our framework of cooperative behavior is the idea
that individuals are resource constrained and these constraints affect how they participate in activities. I shall also present connections between information theory and networks: the social cooperative capacity of a group, and the design of signaling schemes
for cooperation.
Hari Sundaram is
an associate professor with the School of Arts Media and Engineering, as well with the School of Computing, Information and Decision Systems Engineering at Arizona State University. He received his PhD from the Department of Electrical Engineering at Columbia
University in 2002. His research and teaching focus on using network analysis tools and sensors to understand and influence individual decision making. His research has won several best paper awards from the IEEE and the ACM. He also received the Eliahu I.
Jury Award for best PhD dissertation in 2002 . He is an associate editor for ACM Transactions on Multimedia Computing, Communications and Applications and IEEE
Multimedia.
For more information on Mr. Sundaram and his research, visithttp://ame2.asu.edu/faculty/hs