Nature is full of patterns and processes that continually surprises us. Such persistent ingenuity and creativity are trademark of systems that are complex. The study of complex systems span a range of fields, encompassing systems that are biological, social, urban, quantum, financial, economic, and engineering, in nature. Diverse techniques and paradigms had been explored to analyze and to derive models for these systems, such as scaling laws, criticality, agent-based models, cellular automata, etc. One notable aspect in recent studies of these systems is the elucidation and quantification of the underlying physical mechanisms that drive the emergent properties of these systems, from which predictive models are built to mirror the corresponding observed empirical dynamics. This approach captures the physics of complex systems. And this satellite session focuses on the application of methods and toolkits in statistical physics and nonlinear dynamics to this mode of investigation.
Associate Professor Lock Yue Chew, PhD
Division of Physics and Applied Physics
School of Physical and Mathematical Sciences
Nanyang Technological University, Singapore