Related Experiment Video
Updated: Jun 20, 2026

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
Published on: May 15, 2020
Early-warning signals for critical transitions
Marten Scheffer1, Jordi Bascompte, William A Brock
1Department of Environmental Sciences, Wageningen University, PO Box 47, 6700 AA Wageningen, The Netherlands. marten.scheffer@wur.nl
Complex dynamical systems may exhibit early-warning signals before reaching critical tipping points. These generic signals could help predict abrupt shifts across various fields, from ecosystems to climate.
Area of Science:
- Complex dynamical systems
- Interdisciplinary scientific research
Background:
- Complex systems, including ecosystems, financial markets, and climate, can undergo abrupt shifts known as tipping points.
- Predicting these critical thresholds is challenging due to the inherent complexity of these systems.
Purpose of the Study:
- To identify and investigate generic early-warning signals for approaching tipping points in complex dynamical systems.
- To provide a framework for anticipating critical transitions across diverse scientific domains.
Main Methods:
- Review of theoretical frameworks and empirical evidence from various scientific fields.
- Analysis of common patterns and indicators preceding regime shifts in dynamical systems.
Main Results:
- Evidence suggests the existence of generic early-warning signals applicable to a wide range of complex systems.
- These signals may provide advance notice of impending critical thresholds.
Conclusions:
- Early-warning signals offer a promising approach to predicting tipping points in complex dynamical systems.
- Further research can refine these signals for improved forecasting in fields like climate science and ecology.
Related Concept Videos
Phase Transitions
Phase Transitions
Transition State Theory
Cooperative Allosteric Transitions
Cooperative Allosteric Transitions
Cooperative Allosteric Transitions
