Disruption Prediction

Disruption prediction focuses on anticipating and mitigating unexpected events across diverse systems, from supply chains and public transit to nuclear fusion reactors and social media. Current research emphasizes the development of sophisticated machine learning models, including deep learning architectures like convolutional neural networks and recurrent neural networks, often combined with physics-based models or feature extraction techniques to improve accuracy and interpretability. These advancements hold significant potential for enhancing resilience in critical infrastructure, improving operational efficiency, and enabling proactive risk management in various sectors.