Satoshi Kurihara (Professor, Faculty of Science and Technology, Keio University)

　Although social simulations are reflected in policies, such as the prediction of the number of COVID-19 infected cases, there are still many challenges in reflecting complex social situations like the economic impact associated with the inhibition of infection, to social simulation. This is because information such as behavioral characteristics, concerns, and preferences of individuals, communities, and societies contained in various data and interrelationships of data has not been fully utilized. Process innovation is likely to carry out more complex policy scenarios and strategic programs effectively and with high social receptivity if various multi-scale (individual, community, society) data people’s activity data can be analyzed and included in social simulations.
This research area aims to co-create technologies by integrating humanities, social sciences, and natural sciences as a platform for society transformation, such as behavior modification: technology for analyzing people and society from data of various scales and types, and technology for deriving policy scenarios by simulation based on this analytical technology.
　Specifically, it will be worked on the following research with the theme of social issues such as disaster prevention / mitigation / risk management, infectious disease control / remote after corona society, social / economic disparity, sound utilization of Web / social media, etc.
1) Multi-scale (individual, community, society) activity data and derivation of behavioral characteristics and preferences of people and society, identification of factors that bring about behavioral judgment, modeling, and quantification of them, etc. based on humanities knowledge
2) Derivation of scenarios that contribute to policy making and decisions by simulating modeled and quantified people and multi-agents that introduce the characteristics of society
3) Search for effects of derived policy scenarios and methods for improving social acceptance, and feedback on 1) and 2)
　This research area is managed as part of the artificial intelligence, big data, IoT, and the cyber security integration project (AIP Project) developed by the Ministry of Education, Culture, Sports, Science and Technology.