Complex systems are seen across various branches of science; examples include climatic systems, financial markets, systems biology, and ecosystems. Many new techniques have emerged for understanding the dynamics of complex systems and predicting their long-term behavior, which are often obscured by apparent randomness and disorder. Nevertheless, these systems can undergo abrupt, large, and often irreversible changes to the system's state that have wide-ranging implications. When a dynamical system is tipped to a contrasting state in a relatively short period under the influence of small stochastic perturbations; this phenomenon is called a critical-transition or tipping. In the last two decades there are significant developments in the studies of tipping. This workshop will cover all the three major types of tipping; B-tipping, N-tipping and R-tipping, and will also discuss the recent advances on tipping point research including the application of machine learning.
The meeting aims to bring together ecologists, climate scientists, and dynamical system theorists, or in related fields who have contributed substantially to the field for catalyzing constructive discussions that can lead to further advancements of this subject and identify exciting and unexplored areas.
Eligibility: Currently registered PhD students, postdocs, and faculty. We may also consider exceptionally qualified MSc students.
Registrations are open from 1 June 2022.
ICTS is committed to building an environment that is inclusive, non-discriminatory and welcoming of diverse individuals. We especially encourage the participation of women and other under-represented groups.