Interest in network dynamical systems
has grown rapidly in recent years. The goal of this conference is to survey
and extend the state of the art in the statistical inferrence of network
structure from observational data about the behavior of nodes in the network,
with a particular emphasis on the application of new techniques for inferring
causal architecture from data. All forms of networks, from abstract dynamical
systems to biochemical regulatory networks to telecommunications systems and
social networks are suitable for consideration.
Organized by James
P. Crutchfield. Jointly sponsored by the U.C. Davis Center for Computational Science and Engineering and the Santa Fe Institute, dates TBD.