This workshop unites researchers from Nagoya University and RIKEN to explore the forefront of "Prediction Science," an emerging field that synthesizes computational science (the third paradigm) and data science (the fourth). We will delve into its mathematical foundations-including data assimilation, topological data analysis, artificial intelligence (AI), and machine learning (ML)-and showcase their practical applications in diverse fields such as meteorology, space science, biology, and medical science. As the world confronts pressing global issues like environmental change, population dynamics, and public well-being, the role of Prediction Science is more critical than ever. This workshop is designed to foster vibrant, interdisciplinary discussions and forge new collaborations among both established and early-career researchers.
- Date
- December, 22nd (Mon) 11:00 - 23rd (Tue) 12:00 , 2025
- Venue
- Higashiyama Campus, Nagoya University Furo-cho, Chikusa-ku, Nagoya city, 464-8601, Japan
- Participants
- Scientists and students from RIKEN and Nagoya University
- Registration (deadline: Nov. 14th)
- https://docs.google.com/forms/d/e/1FAIpQLSe3O-FX5JF01KHBinB73w9_P1z4VkXJw0h7ULi7AkXoIzU4ew/viewform?usp=dialog
- Participation fee
- Free
- English (Posters could be presented in Japanese)
Program (to be updated)
Day 1, December 22
- Time
- Lecturer
- Contents
- 11:00-11:10
- Takemasa Miyoshi (RIKEN)
Kota Takeda (Nagoya) - Opening remarks
- 11:10-11:40
- Hirohiko Masunaga (Nagoya)
- Transitions toward a Mid-heavy State of Tropical Convection
- 11:40-12:10
- Lingxiao Wang (RIKEN)
- Physics-Driven Generative Models: From Quantum Fields to Large-Scale Simulations (tentative)
- 12:10-12:40
- Ihtisham Ul Haq (Nagoya)
- Age-Structured Modeling of Dengue Transmission Dynamics with Time-Varying Parameters and Its Application to Brazil
- 12:40-13:40
- Group Photo + Lunch
- 13:40-14:10
- Takemasa Miyoshi (RIKEN)
- RIKEN Prediction Science
(Special lecture)
- 14:10-14:40
- Tristan Hascoet (RIKEN)
- TBD
- 14:40-15:00
- Break
- 15:00-15:30
- Raiki Yoshimura (Nagoya)
- Development of an approach for predicting liver disease progression by integrating AI with mathematical models
- 15:30-16:00
- Ruiming Li (RIKEN)
- Future disease prediction by LLM-based methods (tentative)
- 16:00-16:20
- Break
- 16:20-16:50
- Goshi Ogita (RIKEN)
- Kalman force inference: a force inference method for dynamic cellular forces (tentative)
- 16:50-17:20
- Megumi Oya (RIKEN)
- Dynamics Analysis and Predictability in Complex Systems
- 17:20-18:20
- Poster
Day 2, December 23
- Time
- Lecturer
- Contents
- 09:00-09:30
- Xuanzhengbo Ren (Nagoya/RIKEN)
- Learning-Augmented Performance Model for Tensor Product Factorization in SCALE-DG
- 09:30-10:00
- Yuta Tarumi (RIKEN)
- Deep Bayesian Filtering for High-Dimensional Atmospheric Models: Scalable Data Assimilation with SPEEDY
- 10:00-10:20
- Break
- 10:20-10:50
- Shungo Tonoyama (RIKEN)
- Time-series analysis and prediction in volcanic deformation at Mt. Ontake
- 10:50-11:00
- Hirofumi Tomita (RIKEN)
Serge Richard (Nagoya) - Closing remarks