Call for Proposal
Basic information of the Research Area
[Prediction Mathematical Foundation]Creation of Mathematical Foundation for Prediction and Control
Research Supervisor
Motoko KotaniExecutive Director of Science , RIKEN / Executive Vice President, Advanced Institute for Material Research, Tohoku University
Strategic Objective
Scientific prediction and control as the foundation of a new society and industry
Overview
In global and social issues becoming more manifest and severe due to complex intertwined factors, in order to respond to the threats and uncertain situations we face, we must accurately identify and predict important signs and points of change, and furthermore, avoid transitions to irreversible conditions. In addition, by intervening in events based on such predictions, it is necessary to build a new social infrastructure that can control events, which means to ultimately lead to a more desirable state (or maintain a favorable state).
Achieving this necessitates not only the integration and application of all relevant information and data pertaining to natural and social phenomena across various fields but also leveraging the strength of mathematical sciences in abstracting and visualizing complex phenomena. We consider it crucial to aim at deepening the understanding and elucidation of these phenomena, and based on that, generate new theories and innovative technologies related to prediction and control.
In this research area, we aim to develop advanced mathematical analysis and evaluation methods through the integration of mathematics/mathematical sciences and other research fields, targeting real-time data and big data related to social issues. These methods are designed to generate new fundamental theories for prediction and control based on analysis and evaluation results, and to establish foundational technologies for applying these theories to real-world problems.
Specifically, we abstract social issues involving multiple phenomena through mathematical models and mathematical descriptions, deriving causal relationships and key parameters. By utilizing expertise from various research fields and technologies such as artificial intelligence and machine learning, we engage in verifying the plausibility of these abstractions, identifying early signs of change and the characteristics of post-change states, and attempting interventions on the phenomena. Additionally, for the application to real-world problems, we work on developing predictive programs and proposing new intervention and control methods, taking into account expert knowledge from various fields and the needs of society and industry.
This research area participates in the Ministry of Education, Culture, Sports, Science and Technology (MEXT)’s Advanced Integrated Intelligence Platform Project on Artificial Intelligence/Big Data/IoT/Cybersecurity (AIP Project).
Research Area Advisors
Click here to see the List of Research Area Advisors
Schedule of Selection Process
| Deadline for application | 2025/06/03 at 12:00 noon, Japan time |
|---|---|
| Document-based review | 2025/7/11 |
| JST will contact to the interviewees no later than | 2025/7/18 |
| Interview-based review（ONLINE） ※Interview date and time will be assigned by JST. |
2025/8/1 |
Research Supervisor's Policy
Research Supervisor's Policy of this Research Area can be downloaded from below.
Japanese-French (JST-ANR) Joint Research Calls
In FY2025, JST has agreed with ANR to establish the following two CREST Research Areas as common priority research areas and to invite Japanese-French joint research proposals, as well as regular (non-joint) proposals:
[Nano-Material Semiconductors] Fundamental Technology for Semiconductor-Device Structures Using Nanomaterials
[Prediction Mathematical Foundation] Creation of Mathematical Foundation for Prediction and Control
Excellent joint research projects, in which complementarities of research expertise and synergetic effects of research groups of the two countries can be expected, are highly welcome to apply. For selected joint research projects, JST(CREST) will fund Japanese research groups and ANR will fund French research groups in accordance with the regulations and policies applicable to each agency.
Application Process
To apply, principal investigators (PIs) from the Japanese and French sides will write a common joint research proposal and submit it to JST and ANR in parallel.
- The joint research proposal should be written in English using the Common Application Form.
- PI from French side will apply and submit the common joint research proposal to ANR.
- Deadline for proposal submission to ANR is June 2nd, 10AM CEST.
- Please refer to ANR’s website.
- PI from Japanese side will apply and submit the common joint research proposal to CREST via the e-RAD system.
- JST and ANR will evaluate proposals in parallel and make common funding decisions.
- Funded research projects will start in October or later.
Attentions
- Only applications submitted to both JST and ANR will be considered for evaluation.
- Although the above two CREST research areas also invite regular proposals, PIs on the Japanese side may submit only one application with either a joint or regular proposal.
- The proposal submitted to ANR cannot be changed when submitting to CREST. Neither joint nor regular proposals have an advantage during evaluation and will be evaluated equally.
- Make sure that the file size of your application form converted to PDF format is smaller than 3MB. It is impossible to hand in a file via e-Rad if the file size is larger than 10MB.
- FAQ about Japanese-French Joint Research Proposal [PDF]
- Supplemental Explanation [PDF]