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SCS Lab
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A lab that simulates complex systems such as financial markets, complex fluids, and cancer.
AboutAbout the lab
Unraveling complex systems through simulation
The SCS Lab (Complex Systems Simulation Lab) studies "complex systems," in which many elements influence one another.
The lab builds discrete models that simplify the elements making up a complex system into particles or agents, and simulates them on computers.
It treats fluctuations in financial markets, self-assembly of colloids, and tumor initiation and growth as typical examples of complex systems.
Key terms
- Complex system
- A system in which many elements influence one another, making the behavior of the whole hard to predict. Examples include weather, traffic, and financial markets.
- Discrete model
- A model that represents a phenomenon not with smooth mathematical equations but as the accumulated motion of individual elements such as particles or individuals.
- Agent
- In a simulation, an entity representing an individual person or organization that makes its own decisions and acts on them.
- Lattice Boltzmann method
- A simulation method that calculates a fluid as a collection of particles moving around on a lattice.
ResearchResearch themes
The lab builds discrete micro models that assemble complex systems from fine-grained elements, and conducts research using simulations based on them. It studies fluctuations in financial markets, self-assembly of colloids, and tumor initiation and growth as typical examples of complex systems.
*Illustrative imageAnalyzing financial markets through games
The lab models financial markets as a collection of many agents who make decisions with limited information and learn from experience. It analyzes markets using a game model in which the minority side wins (the minority game).
*Illustrative imageSimulating complex fluids
The lab simulates complex fluids such as multiphase flows and colloids using discrete models, such as the lattice Boltzmann method, that simplify the motion of fluid molecules as particles.
*Illustrative imageModeling cancer growth
Treating tumor initiation and growth as a typical example of a complex system, the lab models and simulates cancer using cell-based models, in which individual cells are the basic unit.
*Illustrative imageExploring technological and social transitions
The lab uses agent-based models to simulate technological and social transitions. In this approach, people and organizations are represented as agents, and human decision-making and adaptation are built into the model.
MembersFaculty
The SCS Lab's members consist of faculty, doctoral and master's students, research students, and special research students.
- ProfessorYu ChenPublications ↗
VoicesStudent voices
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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: “A starling murmuration - geograph.org.uk - 6389346” Walter Baxter / CC BY-SA 2.0 (cropped)
- Analyzing financial markets through games: “Analisi tecnica candlestick 1” FeRR@ / CC BY-SA 3.0 (cropped)
- Simulating complex fluids: “RayleighBernardConvection” LBMethod.org/jonas / CC BY-SA 3.0 (cropped)
- Modeling cancer growth: “Fluorescence microscopy of the oral cancer cells” Korinna / CC BY 4.0 (cropped)
- Exploring technological and social transitions: “Anneal CA” David Eppstein / CC0 (cropped)
- Related lab (Mizuno Lab): “Posidonia oceanica meadow - Underwater observation and exploration - Calanque de Sormiou - 2022” Karim saari / CC BY 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 (Shimazoe Lab): “PET Normal brain” US National Institute on Aging, Alzheimer's Disease Education and Referral Center / Public domain (cropped)
- Related lab (Fujii Lab): “Tokyo by night 2011” Nalilord / CC BY-SA 3.0 (cropped)
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