Tohoku University, Hokkaido University, NEC, RTi-cast, and LocationMind are working to predict tsunami hazards and their social impact as part of the Cabinet Office-led Strategic Innovation Creation Program (SIP) research project, ”Building a smart disaster prevention network” is developing  ”Tsunami Disaster Digital Twin” that presents optimal disaster response in real time.
To promote this project, they are currently recruiting demonstration partners, coastal local governments, and private businesses considering implementation.
In response to a tsunami disaster, it is necessary to understand the impact on the flow of people, the distribution of damage to buildings, and the damage status of lifelines, including transportation networks, at an early stage. Until now, it has been difficult to respond quickly and effectively.
SIP aims to strengthen Japan’s disaster response capabilities by promoting research and development that utilizes AI technology to reduce human damage caused by tsunamis and storm and flood disasters, alleviate manpower shortages in disaster response agencies, and speed up disaster response. 
This project will advance the advanced development of the “Real-time Tsunami Flood Damage Prediction System” and develop  “Tsunami Disaster Digital Twin” consisting of three functions: “Hazard Prediction Layer,” “Social Impact Prediction Layer,” and “Optimized Response Layer”.