22/08/02 Compositional methods for health modeling
The intended audience is mathematical epidemiologists and dynamic modelers for infectious diseases, health and health care seeking to learn about emerging methods and tools, based on applied category theory, for constructing large-scale models efficiently, reliably, and modularly. [1]
  • Experience with standard mathematical infectious disease models (e.g., compartmental, stock and flow, agent-based, stochastic), as well as programming experience in a language such as Julia, Python, or R, will be helpful.
  • Specific prior knowledge of applied category theory or the Julia programming language will not be assumed.
Networks »Networks
CANMOD – Training »CANMOD – Training
22/08/02 Compositional methods for health modeling
Nathaniel Osgood »Nathaniel Osgood
Research training »Research training
AlgebraicJulia »AlgebraicJulia
Agent-based models »Agent-based models
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