Operational Resilience

Operational resilience focuses on understanding and enhancing the ability of systems and organizations to withstand and recover from disruptive events. Current research explores this through diverse modeling approaches, including agent-based modeling to analyze organizational structures, complex network theory to assess infrastructure vulnerabilities (e.g., power grids), and machine learning techniques like generative neural networks to predict and mitigate failures in distributed systems. These studies aim to improve the design and management of resilient systems across various sectors, from manufacturing and energy distribution to robotics and counter-terrorism, ultimately contributing to more robust and adaptable operations in the face of uncertainty.