HICSS-43 Keynote Speaker

Wednesday, January 6, 2010
12:45 pm, Grand Ballroom

Daniel Huttenlocher
John P. and Rilla Neafsey Professor of Computing, Info. Sc. and Business and Stephen H. Weiss Fellow
Dean of Computing and Information Science
Professor, Computer Science Department
Professor, Johnson Graduate School of Management
http://www.cs.cornell.edu/~dph/

Social Data

Slides

Socially generated data from the Internet provide a tantalizing opportunity to greatly enhance the study of human interaction and social behavior. Forms of interaction that have traditionally been ephemeral and nearly unobservable are being supplemented by, or in some cases even replaced with, online interactions that leave a long-term trace.

Often these data can shed light on longstanding questions in the social sciences such as diffusion of innovation, structural balance in social networks, and the formation of shared
perceptions.

In this talk I will discuss some of our recent work on these three questions, which both reflects on classical theories in the social sciences and also yields useful techniques for organizing and navigating large social media sites on the Internet.

Daniel Huttenlocher is the Dean of Computing and Information Science at Cornell University, where he also holds the John P. and Rilla Neafsey Professorship. His current research interests are in social and information networks, computer vision, and autonomous vehicles. He has received a number of awards for research and teaching, including an NSF Presidential Young Investigator, New York State Professor of the Year, and ACM Fellow. In addition to academic posts he has been Chief Technical Officer of Intelligent Markets, a provider of advanced trading systems on Wall Street, and spent more than ten years at Xerox PARC directing work that led to the ISO JBIG2 image-compression standard.