Stochastic models are present in many areas of theoretical and applied sciences. The interplay with other areas has been a rich source of challenges and inspiration for probabilists. The present school will have courses on (a) the limiting behavior of rescaled microscopic systems giving rise to macroscopic laws in Physics, (b) on the rescaling of random graphs appearing in Field Theory, and (c) on folding-unfolding transition in Biology.
We plan a program with 6 graduate courses and 16 talks on topics such as planar maps, growth models, random walks, polymers, interacting particle systems, mixing times for Markov chains, and dynamic percolation.