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Social Systems Science Laboratory
Using data and simulations to scientifically examine urban cities and environment
There are many phenomena in society and urban cities that can be understood through data analyses and simulations. We are building a computer-generated artificial society and reproducing various phenomena to evaluate and analyze policies as well as countermeasures. We are trying to answer questions such as how environmental problems impact local residents; how the health of evacuees in the wake of a disaster is managed; and what the optimal countermeasures to solve urban problems are.
College of Systems Engineering and Science Department of Architecture and Environment Systems
/ Graduate School of Engineering and Science（Master's Program） Systems Engineering and Science
/ Graduate School of Engineering and Science（Doctor's Program） Functional Control Systems Course
- Faculty Name
- ICHIKAWA, Manabu
- Keyword
- Simulations,Crisis management,Artificial intelligence,Agent-based,Gaming,Data science,Medical care,Disaster preparedness,Geographic information systems,Disaster mitigation
This lab is for this SDG activity:
STUDY FIELDS
- Social Sciences
- Information Engineering
- Interdisciplinary Sciences
- Social Engineering
- Environmental Engineering
FOR SOCIETY
We conduct computer simulations on policies and countermeasures, which cannot be implemented in the real society, by creating an artificial society or urban city. We use artificial society simulations to propose or evaluate new policies.
RESEARCH THEMES
- Research on the prediction and expectancy of a society through the combination of data and simulations
- Development of disaster preparedness and mitigation systems that use geographic information systems
- Research on gaming to learn and understand various social phenomena
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