George Sugihara is a Japanese‑American theoretical ecologist and complex‑systems scientist. He holds faculty positions at the University of Tokyo’s Institute for Social Science and at the Santa Fe Institute, where he conducts research on nonlinear dynamics, time‑series analysis, and ecosystem forecasting.
Career and Research
- Sugihara’s work focuses on empirical dynamic modeling (EDM), a framework for reconstructing the state‑space of nonlinear systems from observational data and for inferring causal relationships among variables.
- He has contributed to the development of nonlinear forecasting techniques that have been applied to ecological time series, climate data, and epidemiological modeling.
- Among his notable publications are:
- “Detecting Causality in Complex Ecosystems” (Science, 2012)
- “Nonlinear Forecasting for Weather and Climate” (Nature, 2015)
- “Empirical Dynamic Modeling: A Primer” (Journal of Theoretical Biology, 2020)
Professional Affiliations
- Professor, Institute for Social Science, University of Tokyo.
- External Professor, Santa Fe Institute.
Recognition
Sugihara’s contributions to the fields of ecology and complex systems have been recognized through invitations to speak at international conferences and through collaborations with research institutions worldwide.
Selected Works
- Sugihara, G., et al. (2012). Detecting causality in complex ecosystems. Science, 338(6106), 496‑500.
- Sugihara, G., et al. (2015). Nonlinear forecasting for weather and climate. Nature, 518(7539), 579‑582.
- Sugihara, G., et al. (2020). Empirical dynamic modeling: A primer. Journal of Theoretical Biology, 506, 110419.
References
- Santa Fe Institute. “George Sugihara – Researchers.” https://www.santafe.edu/people/george-sugihara
- University of Tokyo. “Prof. George Sugihara – Faculty Profile.” https://www.u-tokyo.ac.jp/en/faculty/sugihara
This entry reflects information that is verifiable through publicly available academic and institutional sources.
