The principal aim of the Dynstoch network is to make a major contribution to the theory of statistical inference for stochastic processes by taking advantage of the tools of modern probability theory including stochastic calculus and by using highly computer-intensive methods. The Dynstoch conference will bring together researchers who are working on various topics in inference for stochastic processes. The focus is on estimation, testing and prediction methods for complex dynamic models such as e.g. diffusions or branching processes. These problems are of interest for example in modelling and data analysis in finance, turbulence, neuroscience, telecommunications or hydrology.