Call for Proposal
Basic information of the Research Area
[Innovative Digital Spatiotemporal Expansion]Technological Innovation and Sustainable Value Co-creation toward the Realization of Digital Spatiotemporal Expansion
Research Supervisor
Yoichi MotomuraPrincipal Researcher, Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology
Strategic Objective
Digital Spatiotemporal Augmentation
Overview
In this research area, we aim to establish the foundation for digital spatiotemporal expansion through the spatiotemporal extension of virtual representations and through exploration, intervention, and mutual feedback between the virtual and the real, integrating expert knowledge from diverse domains including next-generation computational science, data-driven sciences such as AI, the mathematical, life, human, and social sciences, and urban engineering and robotics. We also aim to achieve technological innovation and sustainable value creation by promoting standardization and next-generation talent development to expand value co-creation and communities that leverage this foundation.
In recent years, amid trends such as Physical AI and AI for Science, the importance of digital twins, which represent the real world in digital space and generate added value through interconnection with the physical world, has continued to grow. However, the real world targeted by such virtual representations is inherently complex and spans diverse spatial and temporal scales. As a result, existing technologies have not yet achieved sufficient fidelity or responsiveness to adequately support value provision, particularly in the context of decision-making.
To address these challenges, this research area promotes problem-solving-oriented research through collaboration among researchers in AI, simulation, mathematical sciences, and diverse application domains. The goal is to advance digital foundational technologies grounded in real-world data and to enable the sustained evolution of value creation cycles based on these technologies.
Specifically, the program promotes research and development in the following three directions:
(1) expansion of virtual representations and improvement of responsiveness;
(2) enhancement of interaction with the real world, including reliability and effectiveness; and
(3) development of common platforms for data, models, and interfaces.
Research Area Advisors
| Shin Ishii | Professor, Graduate School of Informatics, Kyoto University |
|---|---|
| Takafumi Kanamori | Professor, Department of Mathematical and Computing Science, Institute of Science Tokyo |
| Satoshi Kurihara | Professor, Faculty of Science and Technology, Keio University |
| Hideyuki Shimonishi | Professor & Director, D3 Center, The University of Osaka |
| Yoshifumi Nishida | Professor, Department of Mechanical Engineering, School of Engineering, Institute of Science Tokyo |
| Nobutada Fujii | Professor, Information Science and Technology Center, Information Infrastructure and Digital Transformation Initiatives Headquarters, Kobe University |
| Takehisa Yairi | Professor, Graduate School of Engineering, The University of Tokyo |
| Akiko Yamada | Principal Research Director & Research Evangelist, Fujitsu Research, Fujitsu Ltd. |
Schedule of Selection Process
| Deadline for application | 2026/06/02 at 12:00 noon, Japan time |
|---|---|
| Document-based review | 2026/07/15 |
| JST will contact to the interviewees no later than | 2026/07/22 |
| Interview-based review（ONLINE） ※Interview date and time will be assigned by JST. |
2026/07/27 |
Research Supervisor's Policy
Research Supervisor's Policy of this Research Area can be downloaded from below.