Scientific Workshop on Local Environmental Phenomena and Non-Local Mathematical Models
開催日
November 20th – December 04th, 2025
Research Platform
分野横断プラットフォーム
Local Environmental Phenomena and Non-Local Mathematical Models
The group, including two mathematicians invited from Algeria, engages in two weeks of brainstorming through discussions and experiments, attempting to bring environmental science and mathematics closer together. Specifically, we will demonstrate the high utility of differential equations, which possess a property known as non-locality, in addressing various environmental science issues involving the essential constraints of observational data and the interaction between biological and physical phenomena.
| Team Leader | Koichi Unami (Associate Professor, Graduate School of Agriculture, Kyoto University) |
| Other Members | Yikan Liu (Associate Professor, Graduate School of Science, Kyoto University) Shuntaro Togo (Master’s Student, Graduate School of Agriculture, Kyoto University) Hisashi Okamoto (Professor, Department of Mathematics, Gakushuin University) Atsushi Nakayasu (Project Researcher, Graduate School of Engineering, The University of Tokyo) Shimpei Makida (Doctoral Student, Graduate School of Science, Hokkaido University) Chafika Aitemrar (Associate Professor, Department of Exact Sciences, École Normale Supérieure d’Oran, Algeria) Rachid Chaili (Professor, Department of Mathematics, University of Science and Technology of Oran – Mohamed Boudiaf, Algeria) |
| Contact details | unami.koichi.6v @ kyoto-u.ac.jp 内線：6161 |
| 関連情報 | |
| 主な活動場所 |
Brief Message
Understanding real-world phenomena through mathematical models is essential and effective in local environmental sciences, particularly in water resources engineering. However, clinging to classical dogma and blind faith in AI and off-the-shelf software has resulted in a lack of methodological innovation in tandem with advances in mathematics. Meanwhile, even among mathematicians, there is a lack of understanding of the real-world implications of mathematical knowledge, which has great potential for application.
