Superstatistical techniques for complex systems with time scale separation
Prof. Christian Beck (Queen Mary, University of London)

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 recently 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, and then discuss three examples in somewhat more detail: Train delay statistics on the British railway network, accelerations of tracer particles in turbulent flows, and cancer survival statistics.