The dynamics of information within organizations is relevant to issues of productivity, innovation, and the sorting out of useful ideas from the general chatter of a community. How information spreads and is aggregated determines the speed with which individuals and organizations can act and plan their future activities.
This talk will describe mechanisms for automatically identifying communities of practice within organizations and for elucidating the spread of information spreads within those communities. In addition, a new method for forecasting uncertain events using small groups of people will be presented, along with empirical results that show its efficacy at making predictions in the real world.
Bernardo Huberman is a Senior HP Fellow and Director of the Information Dynamics Lab at Hewlett Packard Laboratories. He received his Ph.D. in Physics from the University of Pennsylvania, and is currently a Consulting Professor in the Department of Applied Physics at Stanford University. He originally worked in condensed matter physics, ranging from superionic conductors to two-dimensional superfluids, and made contributions to the theory of critical phenomena in low dimensional systems. He was one of the discoverers of chaos in a number of physical systems, and also established a number of universal properties in nonlinear dynamical systems. His research into the dynamics of complex structures led to his discovery of ultradiffusion in hierarchical systems.
You may read more about him here