Joint Symposium
organized by the divisions of Nonlinear Dynamics and Statistical Physics, Biological Physics and Physics of Socio-Economic Systems
Complex Systems transcend the disciplines from the Physical across the Bio- and Life- to the Social sciences and include brains, genomes, immune systems, societies, markets and information systems. They are characterized by collective, time-dependent phenomena emerging from the dynamic interplay of a large number of heterogeneous constituents. These phenomena cannot be reduced to or explained by the properties of the constituents alone and their understanding poses a number of challenging problems.
Currently, research is to a great extent data-driven. Scientists are still searching for the relevant parameters to describe and model complex systems. Both the collection of meaningful datasets for their description as well as new methodological approaches for their analysis are needed before meaningful models can be constructed.
Spotlighting these challenges, the symposium aims at bringing together researchers from various disciplines working on complex systems. It intends to expose physicists to the phenomena and pressing problems awaiting a solution as well as to disseminate recent progress made in the understanding of complex systems by physicists or using methodologies rooted in physics.