Abstract Beck:

Many complex driven nonequilibrium systems are effectively described by a superposition of several statistics on different time scales, in short a `superstatistics'. Superstatistical techniques have been successfully applied to a variety of complex systems, for example turbulence (Lagrangian, Eulerian, environmental), hydroclimatic fluctuations, pattern formation, mathematical finance, traffic delay statistics, random matrix theory, networks, scattering processes in high energy physics, as well as medical and biological applications. In this talk I will first give a general overview of this concept and its recent applications. I will then explain how to extract the relevant superstatistical parameters out of a given experimentally measured time series. Finally I might comment on superstatistical methods for optical lattices.