Colloquium
DATE	2024-04-11　16:10-17:00
PLACE	理學教學大樓 1F36102演講廳
SPEAKER	謝志豪 教授（台灣大學海洋研究所）
TITLE	Empirical Dynamic Modeling for Nonlinear Dynamical Systems- Application and Extension of Takens’ Embedding Theorem
ABSTRACT	Mechanistic understanding and forecasting are important for effective policy and management recommendations for ecosystems. However, these tasks are challenging, because real world is complex, where correlation does not necessarily imply causation. In this seminar, I aim to introduce a time-series analytical framework, known as Empirical Dynamic Modeling (EDM). EDM is rooted in Takens’ Embedding theorem for state space reconstruction. EDM enables detecting causality among interacting components in nonlinear dynamical systems, constructing time-varying interaction networks, forecasting effects of external forcing, and serving as early warning signal for critical transition. I will demonstrate the efficacy of EDM in various systems. The information can shed light on identifying drivers of ecosystem stability and translating this science into policy-relevant information.