The Eawag Summer Schools provide the opportunity for doctoral and postdoctoral students from all over the world to deepen their knowledge of a particular scientific topic. Preeminent scientists lead the lectures, practical work and exercises. The events take place in the summer holidays and usually last for a week. Alongside their educational input, the Summer Schools also offer the opportunity to discuss research questions and to network with others in the field.
Current Summer Schools
Mathematical models are important tools for supporting our understanding and predicting the behavior of environmental systems. However, uncertainties in data, model structure, and parameters are inevitable. The Eawag Summer School provides guidance to mathematical techniques treating such uncertainties quantitatively. It starts with elementary statistical analyses and proceeds to state of the art Bayesian computation. The summer school briefly covers model construction and sensitivity analysis and then focuses on concepts, implementation and application of Bayesian techniques for statistical inference, model prediction and uncertainty estimation.