Recent innovations in sensing technologies, experimental techniques, and open source information sharing have led to a confluence of empirical data for complexity modelling. This has pushed parallel advances in methodologies of statistical and nonlinear physics to provide theoretical models and perspectives to explain and to drive further understanding of the complex system under-study. It is the objective of this satellite session to sample, share and communicate current researches that develop theories in the area of statistical and nonlinear physics that are amenable to such investigation on the physics of complex systems.


Complex Networks; Chaos; Non-equilibrium Thermodynamics; Information Theory; Stochastic Thermodynamics; Quantum Information; Phase Transition and Criticality; Artificial Intelligence