Networks of interacting dynamical systems commonly arise in applications across multiple science and engineering disciplines. Notable examples include neuronal plasticity and cognitive function; opinion formation and information cascades in social networks; synchronization and blackouts of power grids; information processing and diffusion in complex systems, and so on. As a general feature, these systems often exhibit emergent macroscopic dynamics that are not easily predicted by the microscopic dynamics and are typically referred to as complex systems. In the pursuit of furthering research of network-coupled complex systems, we will explore the following aspects in this symposium:

• Synchronous collective behavior wherein the individual node dynamics combine to act as one or a few (rather than many) dynamical units;
• Self-organization wherein the system guides its own evolution, design, and/or repair to retain proper functionality;
• Information processing wherein the macroscopic emergent dynamics of a system dynamics facilitate, for example, filtering or signal/image processing.