Uncertainties in Tipping Warning and Prediction

This keynote talk by Maya Ben-Yami from TUM explores the challenges and uncertainties involved in identifying, warning about, and predicting tipping points in complex systems. Delve into the mathematical frameworks and methodological approaches used to anticipate critical transitions, while examining the limitations and confidence levels associated with tipping point predictions. Learn about cutting-edge research that aims to improve early warning signals for potential system collapses across various domains including climate science, ecology, and other complex systems.