University of Birmingham > Talks@bham > Theoretical computer science seminar > Software for Compositional Modeling in Epidemiology

Software for Compositional Modeling in Epidemiology

Add to your list(s) Download to your calendar using vCal

If you have a question about this talk, please contact George Kaye.

Computer Science Distinguished Seminar

Mathematical models of disease are important and widely used, but building and working with these models at scale is challenging. Many epidemiologists use “stock and flow diagrams” to describe ordinary differential equation (ODE) models of disease dynamics. This talk introduces the mathematics of stock and flow diagrams and two software tools for working with them. The first, called StockFlow.jl, is based on category theory and written in AlgebraicJulia. The second, called ModelCollab, runs on a web browser and serves as a graphical user interface for StockFlow.jl. Modelers often regard diagrams as an informal step toward a mathematically rigorous formulation of a model in terms of ODEs. However, stock and flow diagrams have a precise mathematical syntax. Formulating this syntax using category theory has many advantages, but I will focus on three: functorial semantics, model composition, and model stratification. This is joint work with Xiaoyan Li, Sophie Libkind, Nathaniel Osgood, Evan Patterson and Eric Redekopp.

This talk is part of the Theoretical computer science seminar series.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.


Talks@bham, University of Birmingham. Contact Us | Help and Documentation | Privacy and Publicity.
talks@bham is based on from the University of Cambridge.