SIM & SWARM / MODELING & LEARNING
Software Products
Tools in development for building scientific models and learning through simulation.
In development
Agentarium
From scientific questions
to simulation drafts.
For researchers, modelers, and domain experts.
An AI-assisted platform for turning scientific questions into traceable draft agent-based models.
Agentarium is being developed to help teams move from an idea, paper, or existing model to a working simulation prototype, with a clear record of the assumptions and scientific knowledge behind it.
- Scientific questionIdeas, papers & existing models
- Editable model planScientific knowledge & traced sources
- Simulation draftAssumptions, checks & expert review
Conceptual workflow · Human insight at every step
A more inspectable modeling workflow
- Editable model plans. Review and refine how a question becomes a model before generating a project.
- Reusable scientific behaviors. Build on domain-specific modeling knowledge and trace its sources.
- Documentation and validation. Examine model assumptions, provenance, and checks alongside generated outputs.
Initial development focuses on aquatic ecology and epidemiology.
Generated models are drafts and require expert review. Validation checks do not establish scientific correctness.
In development
AgentBiome
Explore living systems
through experimentation.
For students and instructors.
Interactive lessons and virtual labs that help learners investigate how living systems work.
AgentBiome is a virtual environment where learners build critical thinking and logical reasoning from the ground up. Learners examine individual processes, adjust conditions, and predict how the system will respond. They then observe how local processes and interactions give rise to system-level dynamics, compare the results against their predictions, and use that evidence to refine their thinking. Rather than being told what connections to make, learners follow their own interests and draw their own conclusions. With each cycle, their understanding grows deeper, more accurate, and rooted in their own perspective.
Organism traitsEnvironmental conditions
- Observe
- Predict
- Change
- Run
- Measure
- Explain
Conceptual illustration · Learn through experimentation
Learning through inquiry
- Inspect living systems. Explore an organism’s traits, internal state, behavior, and relationships with its environment.
- Experiment with conditions. Make predictions and investigate how changes influence biological processes.
- Measure and explain. Use observations and results to develop evidence-based explanations.
Fish Biology is the first active course, with two undergraduate lessons. Additional subjects and courses are planned as the platform develops.