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.
