COVID-19 AI and Simulation Project
The purpose of this project is to achieve a balance between economic activities and measures to prevent the spread of the novel coronavirus (COVID-19). We collect and analyze data on the early detection of the spread of infection using AI, conduct simulations, develop new technologies that contribute to infection prevention measures, and verify the results for social implementation. This site introduces the results of research in four R&D areas: early detection of infection, infection prevention simulation, infection expansion/suppression simulation, and introduction of new technologies.
- One of the participants of this project, Associate Professor Taisuke Nakata, from the Graduate School of Economics, Faculty of Economics, The University of Tokyo, has been awarded Jiro Enjoji Memorial Prize.
- One of the participants of this project, Professor Makoto Tsubokura, from the RIKEN Center for Computing Science, Computational Fluid Dynamics Lab., Graduate School of System Informatics, Kobe University Graduate School, has been awarded the ACM Gordon Bell Special Prize for High Performance Computing-based COVID-19 Research.
- Materials presented at the December 21 expert meeting are now available.
- Materials presented at the December 14 expert meeting are now available.
- Materials presented at the December 7 expert meeting are now available.
- Materials presented at the November 30 expert meeting are now available.
Latest Research Materials
- The Tokyo Foundation for Policy Research
- Graduate School of Simulation Studies, University of Hyogo
- Department of Information Systems Science, Soka University
- Center of Biomedical Physics and Information Technology
- Osaka General Medical Center
- Faculty of Science and Technology, Keio University
- The University of Tokyo (Institute of Medical Science)
- The University of Tokyo (School of Engineering)
- Graduate School of Economics, Faculty of Economics, The University of Tokyo
- Institute of Industrial Science, the University of Tokyo
- The University of Tokyo (Spatial Information Science)
- Tohoku University Graduate School of Medicine
- Tokai University School of Medicine
- Mitsubishi research Institute, Inc.
- RIKEN Center for Computational Science
- Kobe University
- Graduate School of Business Sciences, University of Tsukuba
- Agent Simulation
- Resource Optimization
- Vaccination Strategy
- Indoor CO2 Concentration
- Infection Simulation
- Countermeasures Simulation
- Infection Spread Model
- Infection Prevention Measures
- Achievement Announcement Video
- Video Analysis Ai
- Inspection And Measurement Methods
- Movement Information Analysis
- Economic Impact
- ShibauraInstitute of Technology
- The University of ElectroCommunications
- Splash Analysis
Call for Research Proposals
1. Early detection of spread of infection
Objective: Realization of new technology for early detection of epidemic and spread of infectious diseases by data analysis using AI, etc.
2. Infection prevention simulation
Objective: Simulate and verify virus dispersion and reflect in various guidelines, etc.
3. Simulation of infection spread and control
Objective: To build a simulator (software) that can estimate the infection status and determine the impact of infection on medical care and the economy.
4. Introduction of new technology
Objective: Support the creation of “new daily life” through the development of new technologies that contribute to the prevention of the spread of infection.