Elchanan Mossel

Learning on social networks

ABSTRACT: Basic questions in economic and social networks
involve understanding the learning dynamics of individuals in
the network. We will present some of the standard models for
learning on networks, a number of new results regarding the
convergence of the learning process and some open problems.

BIO: Elchanan Mossel obtained his PhD from the Hebrew
University in 2000. He was a Postdoc at MSR Redmond and a
Miller Fellow at UC Berkeley. Currently he is a faculty member
at the Departments of Statistics and Computer Science at UC
Berkeley, and at the Mathematics Department of the Weizmann
Institute, Rehovot, Israel. Elchanan is known for his
interdisciplinary research that combines ideas from Probability
Theory, Computer Science, Statistical Physics and Economics.
His work was recognized by a Sloan fellowship and an NSF career
award.