"Super Smart Society (Society 5.0)" mission area

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Making full use of AI and simulation technologies across different fields for a humancentered society

Recently, new values have been created in society as everybody and everything are connected and a large amount of knowledge and information are shared with the spread of IoT and SNS. At the same time, problems that confuse society have also emerged. For example, it takes time to identify evacuation orders in the event of a disaster or the infection route in the event of a pandemic due to flood of both genuine and false information, or hoaxes spread on the Internet.

Hence, we will strive to solve social issues that have become obvious with the development of information technology as AI systems have been more ubiquitous and practical in society which is the base for supporting our lives and economic activities, while continuing to be aware of the issues. For this purpose, viewpoints of people and society must be taken into account in technological development, and this must actually solve social issues. That is way co-creation across various fields including not only information science but also human and social sciences is important. With this in mind, we set up a prioritized theme called "Making full use of AI and simulation technologies across different fields for a human-centered society" as an addition of analytical technologies and technologies accelerating behavior modification based on the behavior of people and society to the theme for FY2019 to guarantee the explainability and reliability in AI and simulation technologies.

R&D Projects

<Adopted in FY2020> R&D Project TitleSummaryR&D Period
Integration of Alternative Data into Theoretical Models for Novel Economic Survey
IZUMI Kiyoshi (Professor, School of Engineering, the University of Tokyo)
Integration of Alternative Data into Theoretical Models for Novel Economic Survey
(PDF:206KB)
2020.11-
Development of a cross-disciplinary co-creation of infectious disease control support systems and services using big data and AI methods
OHMAGARI Norio (Director, Disease Control and Prevention Center, National Center for Global Health and Medicine)
Development of a cross-disciplinary co-creation of infectious disease control support systems and services using big data and AI methods
(PDF:195KB)
2020.11-
Multiscale ABSS method for social policy making
KAIHARA Toshiya (Professor, Graduate School of System Informatics, Kobe University)
Multiscale ABSS method for social policy making
(PDF:324KB)
2020.11-
Development of a social risk visualization system and a decision-making system that responds appropriately to social risks
KAMIHIGASHI Takashi (Director/Professor, Center for Computational Social Science, Kobe University)
Development of a social risk visualization system and a decision-making system that responds appropriately to social risks
(PDF:177KB)
2020.11-
Co-evolution of Humans and Simulation AI for Resilient Business Continuity and Recovery
KANNO Taro (Associate Professor, School of Engineering, The University of Tokyo)
Co-evolution of Humans and Simulation AI for Resilient Business Continuity and Recovery
(PDF:339KB)
2020.11-
Architecture Design and Actual Proof for Self-distributed World Grid Square Statistics Platform
SATO Aki-Hiro (Professor, Department of Data Science, Graduate School of Data Science, Yokohama City University)
Architecture Design and Actual Proof for Self-distributed World Grid Square Statistics Platform
(PDF:202KB)
2020.11-
Platform for the decision making in the response to COVID-19 pandemic using CPS model
MANABE Toshie (Associate Professor, Department of Medical Innovation, Nagoya City University Graduate School of Medicine)
Platform for the decision making in the response to COVID-19 pandemic using CPS model
(PDF:476KB)
2020.11-

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