Director of the Center: Professor Shinichi Egawa
Deputy Director of the Center: Professor Shunichi Koshimura
Establishing Co-creation Center for Disaster Resilience
In April 2022, the International Research Institute of Disaster Science, Tohoku University founded the "Co-creation Center for Disaster Resilience" which aims to co-create disaster resilience, the ability of societies and social systems to respond promptly and effectively to natural disasters, and exploiting lessons in the future disaster management.
Consisting of four research areas; "Quantifying disaster resilience," "Human resilience," "Curation of disaster information," and "Practice of co-creation," we will conduct collaborative research on identifying disaster processes as both natural and social phenomena and seeking ways to enhance our resilience with the "emergence of collective intelligence".
Resilience is defined as: “The ability of a system, community or society exposed to hazards to resist, absorb, accommodate to and recover from the effects of a hazard in a timely and efficient manner, including through the preservation and restoration of its essential basic structures and functions” (UNISDR, 2009).
Four Research Divisions of the Center
1. Quantifying Disaster Resilience Division
Division Chief: Professor Shunichi Koshimura
The "Quantifying disaster resilience" Division focuses on establishing methodologies to quantify "disaster resilience" and clarifies what measures and responses enhance resilience and their effects on society. This research area is also in charge of developing "Disaster Digital Twin". "Disaster Digital twin" is the fusion of data-interpretation-inference, to capture the real physical world from various sensors and simulations, creating a copy (or twin) in the virtual world (on a computer), running simulations with the copied data to find out optimal solutions for enhancing disaster resilience, and provide the insights into the physical world’s policy or decision.
2. Human Resilience Division
Division Chief: Professor Shinichi Egawa
This Division assesses the damage to physical and psychosocial well-being by a disaster in a real-time and quantitative manner to support the data-driven decision making in disaster medical and public health response. Our research project combines real medical and public health information with other disaster information using the digital twin technology to promote data-driven disaster medical and public health research. This division aims at digital transformation at hospitals, evacuation centers, welfare evacuation centers, and own homes to develop the capacities of self-help, and mutual help together with more personalized public help to mitigate the damage to physical and psychosocial well-being. Our topics will include long-term surveillance of mental health and the burden of diseases, using cohort studies and health simulations. It will enable disaster-related medical and public health research to support the improvement of well-being, i.e., human resilience.
3. Disaster Information Curation Division
Division Chief: Professor Makoto Okumura
“Curation” refers to the work of museum curators who select works of art from a large number of exhibits by a theme to facilitate understanding of the significance and appeal of the exhibits. Similarly in this research area, we will study how to select, organize, and utilize information from the vast amount of information produced by the Disaster Digital Twin to help communities and society choose what actions to take. Based on the understanding of the structural and inherent behavioral characteristics of society, we are in charge of modeling the process of disasters as social phenomena, enumerating and organizing disaster response measures, and interpreting the meaning of what-if analysis results for the construction of collective knowledge.
4. Disaster Resilience Co-creation Division
Division Chief: Professor Yuichi Ono
The Disaster Resilience Co-creation Division will conduct research aimed at evidence-based policymaking and social implementation for disaster risk reduction (DRR) in collaboration with industry, government, academia, and the private sector to enhance disaster resilience both in Japan and abroad. To this end, it is important to widely disseminate analytical results and research findings to society in a visualized and easy-to-understand form. In addition, the development and provision of data that can be easily handled by users of DRR information, based on GIS, will promote the use of DRR information by individuals and the social implementation of DRR technology and collective knowledge.
Co-creation Center Strategy Committee
|Director, International Research Institute of Disaster Science
||Fumihiko Imamura, Professor
|Deputy Director, International Research Institute of Disaster Science
||Hiroaki Maruya, Professor
|Director, Co-creation Center for Disaster Resilience
Chief, Human Resilience Research Division
|Shinichi Egawa, Professor
|Deputy Director, Co-creation Center for Disaster Resilience
Chief, Quantifying Disaster Resilience Division
|Shunichi Koshimura, Professor
|Chief, Disaster Information Curation Research Division
||Makoto Okumura, Professor
|Chief, Disaster Resilience Co-creation Division
||Yuichi Ono, Professor
|Graduate School of Environmental Studies
||Nakaya Tomoki, Professor
Center liaison and public relations
|Inquiries about the Center and GIS, liaison, public relations
||Yuriko Takeda, Researcher
|University Research Administrator (URA), liaison, public relations
||Natsuko Chubachi, Associate Professor (Specially Appointed)
Disaster Digital Twin for Resilience
"Disaster Digital twin (DDT)" is the fusion of data-interpretation-inference, to capture the real physical world from various sensors and simulations, creating a copy (or twin) in the virtual world (on a computer), running simulations with the copied data to find out optimal solutions for enhancing disaster resilience, and provide the insights into the physical world’s policy or decision. AI (Artificial Intelligence) is one of the key elements of DDT but the goal is a deployment of a mixed-initiative of human and machine (computer) systems as the emergence of collective intelligence. We believe that it emerged from the convergence of disaster science research from multiple disciplines with a deep understanding of physical and social systems.