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Intelligent Systems Design Lab
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The lab supports decision-making in society and in companies through simulation and data.
AboutAbout the lab
Designing systems of people, technology, and institutions
The lab studies society and business as systems made up of people, technology, and institutions.
It supports decision-making through modeling, simulation, data analysis, and team workshops.
Its research topics include the decarbonization of shipping, the automation of ships and vehicles, and transportation services in depopulated areas.
The lab also studies teamwork and consensus building, which are needed to put good solutions into practice in society.
Key terms
- Simulation
- Building a model of how a system works inside a computer and testing how it will behave in the future under different conditions
- Systems thinking
- An approach that views things not as separate parts, but as connections between elements and the behavior of the whole
- On-demand transit
- A shared transportation service that runs according to user reservations rather than a fixed timetable
NewsLab news
Published a paper that uses simulation to evaluate decarbonization measures for international shipping
Published a paper on a cross-industry simulation platform for decarbonization in the maritime sector
A student in the UTSIP program won the Best Presentation Award at the final presentation
Published a paper on how to design interventions when humans and AI make predictions together
Accepting individual consultations about research topics at the open lab
ResearchResearch themes
Problems facing society and companies are hard to solve because of their complexity and uncertainty about the future. Building on systems design methodology and systems thinking, the lab tackles challenges in industry and society.
*Illustrative imageDesigning Corporate Strategy
The lab uses models based on simulation and data to predict the behavior of complex systems, and supports corporate decision-making and system design. Topics include decarbonization and the introduction of autonomous ships.
*Illustrative imageDesigning Social Systems
For social problems involving conflicting interests, the lab uses simulation and data to support transparent, easily explainable consensus building and decision-making. Topics include on-demand transit in depopulated areas.
*Illustrative imageDesigning Collaboration
The lab designs environments in which people, and people and AI, can work together on decision-making and idea generation. It also studies how to visualize teamwork by recording discussions with sensors.
MembersFaculty
The lab's members include faculty, project researchers, project specialists, secretaries, doctoral, master's, and undergraduate students, research students, and visiting students from overseas.As of 2026
- ProfessorKazuo HiekataPublications ↗
- LecturerTakuya NakashimaPublications ↗
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Cargo ship passing at dusk on the Westerschelde, Vlissingen, Netherlands” Rémi Viau / CC BY-SA 4.0 (cropped)
- Designing Corporate Strategy: “A-Rosa Brava (ship, 2011) Steuerhaus” Rolf Heinrich, Köln / CC BY 3.0 (cropped)
- Designing Social Systems: “Kagawa bus stop” Drivephotographer / CC0 (cropped)
- Designing Collaboration: “TechnicalWishlist Workshop Search 16-18 Munich StickyNotesWall1” Jan Dittrich (WMDE) / CC BY 4.0 (cropped)
- Related lab (Fujii Lab): “Tokyo by night 2011” Nalilord / CC BY-SA 3.0 (cropped)
- Related lab (Toriumi Lab): “Social Network Visualization” Martin Grandjean / CC BY-SA 4.0 (cropped)
- Related lab (Izumi Lab): “Scramble from above, SHIBUYA SKY ( ) (cropped)” Sei F from Tokyo, Japan / CC BY-SA 2.0 (cropped)
- Related lab (Nishino Lab): “Go” Dietmar Rabich / CC BY-SA 4.0 (cropped)
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