RIKEN PREDICTION

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RIKEN-Nagoya Univ.(Zhang-Sogabe lab) Joint Workshop on Prediction Science

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