[Mathematical Information Platform] Creating information utilization platform by integrating mathematical and information sciences, and development to society

Strategic Objective

Creating information utilization platform by integrating mathematical and information sciences, and development to society

Research Supervisor


Naonori Ueda (Deputy Director, RIKEN Center for Advanced Intelligence Project; Visiting Fellow, NTT Communication Science Laboratories)


 To create new scientific, social, and economic values by using considerable data produced in various scientific fields and the industrial world, the creation of a new concept and approach in which mathematics, mathematical science, and information science cooperate and integrate is essential. Through the creation of an innovative information utilization method in which the mathematical model-type approach, which models mechanisms, and the data driven-type approach, which uses big data, make complementary use of each upside, the acceleration and high-level application of information usage in the real society are expected.

 In this research area, we aim to create a new platform technology from the cooperation and integration of mathematical and information sciences with respect to the solution of the problems in the actual society and the creation of added values that may be difficult only with the data driven-type approach, such as AI and big data analysis. More specifically, we cope with the following research and development areas.

(1)Construction of the theory and technology that contribute to the creation of a new information utilization method involving the concept of mathematics
(2)Creation of a new science that links mathematics, mathematical science, and information science
(3)Creation of a next-generation application platform technology of data analysis algorithms and software programs that accelerates and enhances the utilization of information in various fields and the industrial world

 We aim to lead to the solution of social problem with some impact, as mentioned above.

 This research area is managed in the course of AI, big data, IoT, and the cyber security integration project developed by the Ministry of Education, Culture, Sports, Science and Technology (AIP Project).

Research Area Advisors

Hirokazu Anai Principal Research Director, Fujitsu Research, FUJITSU LIMITED
Satoru Iwata Professor, Graduate School of Information Science and Technology, The University of Tokyo
Hiroshi Kokubu Executive Vice-President, Kyoto University
Motoko Kotani Principal Investigator/Professor, AIMR, Tohoku University; Executive Vice President for Research, Tohoku University
Masa-Hiko Saito Professor, The Faculty of Business Administration, Kobe Gakuin University
Osamu Saeki Professor, Institute of Mathematics for Industry, Kyushu University
Toshiyuki Tanaka Professor, Graduate School of Informatics, Kyoto University
Takahito Tanabe General Manager, Optimization Division, NTT DATA Mathematical Systems Inc.
Noriko Hirata Professor, College of Science and Technology, Nihon University

Research Projects

  1. Year Started : 2019
  2. Year Started : 2020
  3. Year Started : 2021

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