In many areas of science, especially biology, there are mathematical models that comprise of individual systems or `cells' that interact together as a network. In such cases, the individual dynamics can interact in a way that produces new emergent dynamical possibilities such as synchronization, clustering, etc, and it is a mathematical challenge to describe, predict and quantify the dynamics of such systems. Particular themes have developed to understand the influence of and interplay between the three factors; (a) the network (graph), (b) the individual cell dynamics and (c) the nature of the coupling. This requires approaches that vary from groupoid theory and graph theory to nonlinear dynamics for high dimensional systems, and the minisymposium aims to give some examples from the latest developments of theory and application.
Schedule for July 18:10:30-11:15 Michael Field (Houston, USA)