Nagoya University

Name of organization

Fujitsu - Nagoya University Social Digital Twin Research Division

Date of founding

September 1, 2023

Office location

National Innovation Complex (NIC) (Furo-cho, Chikusa-ku, Nagoya 464-8601, Japan)

Research subject

Studies about high precision ‘digital rehearsal’ technology for measures to solve social issues

Contents of research

Due to the increasing complexity of social issues, technologies are required to digitally reproduce human and social activities across fields such as the environment, the economy, and health, and to support the formulation of measures to resolve these issues. Therefore, we will conduct research and development on high-precision digital rehearsal [1] technology that models the behavior of people and society, taking into account the values of various people, and enables us to examine the effects and impacts of measures in advance. We will contribute to the realization of a sustainable and vibrant society.

Roles of both parties

Nagoya University

Overall management of joint research projects, research a state-of-art technology for human behavior and social modeling based on diverse values, and evaluation of technologies through social demonstration experiments in communities.

Fujitsu Limited

Innovating a state-of-art technology for digital rehearsal, application of technology to solving actual social issues, system construction and overall evaluation, and expansion of application areas and regions.

Main members

Nagoya University

  • Takayuki Morikawa (Designated Professor, Global Research Institute for Mobility in Society, Institutes of Innovation for Future Society)

Fujitsu Limited

  • Miwa Ueki (Senior Research Manager, Social Digital Twin Core Project, Converging Technologies Laboratory, Fujitsu Research)

Related Web Site

Global Research Institute for Mobility in Society, Institutes of Innovation for Future Society, Nagoya University


  • [1]
    Digital rehearsal
    The process of recreating human and social behavior in a city in a digital space before the actual implementation of measures to solve social problems, and searching for optimal measure parameters while grasping the effects and impacts of the measures.

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