Dynamical Systems and Graph Theory Approaches for Digital Twins

This two-day working group will convene to identify crosscutting research needs essential to the advancement of digital twin technologies. A digital twin is a dynamic virtual representation that mirrors the structure, context, and behavior of a physical system, is continually updated with data from its real-world counterpart, and serves as a foundation for data-informed decision-making that delivers value. The working group will focus on the interdisciplinary research challenges required to support the development and deployment of digital twins across a wide array of domains, including engineering, materials science, manufacturing, energy systems, smart cities, medicine, public health, life sciences, climate science, natural hazards, and environmental sciences. In particular, we will explore the potential of dynamical systems, networks, and information theory approaches for digital twins. For example, graph-theoretic and information-theoretic approaches have recently been successfully applied to address security, privacy and verification challenges in digital twins. By bringing together experts from diverse fields, the working group aims to define a unified research agenda to address foundational gaps and accelerate innovation in this rapidly evolving area.