Stochastic partial differential equations arise naturally in several models of random phoenomena, in such fields as biology, physics and engineering. In particular, while deterministic models represent an efficient tool to describe time-evolution of real-world systems, they fail in rendering the presence of possible microscopic uncertainty of the model. Such randomness components may be related to several factors and are usually tracked through the introduction of a stochastic source of randomness in the equations involved. One of the most challenging goal of the mathematics of stochastic partial differential equations is the understanding of quantitative and qualitative properties of solutions and their dependence on the coefficients.

The aim of the workshop is to bring together leading experts, as well as a number of talented young researchers and to share fresh information on new results and future perspectives. The stay at the Institute will promote informal interaction progress in collaborations.