Event Details

  • Dates: 24–25 March 2025
  • Location: School of Public Health, White City campus, Imperial College London

Overview

The Odin-Monty Workshop is a collaborative event designed to showcase the second generation of odin-monty tools and bring together modellers from diverse fields, as well as those working at the interface between modelling and other disciplines. Participants will explore new features, see real-world use cases, and gain insights from others working in similar domains.

Workshop Aims

  • Introducing the updated odin-monty toolkit
  • Building a community and fostering collaboration
  • Collecting feedback to guide further refinement

By actively involving attendees, the odin-monty team aims to ensure these tools evolve in step with community needs and emerging trends.

Lightning Talks

On 24 March 2025 (15:30–16:30 UK time), we will host an online/hybrid session, “Lightning talks – odin applications in practice.” You can register for this session if you are unable to travel to London or if you are primarily interested in the talks.

Slide decks

In the interactive sessions, we will work through two slide decks:

Slide decks from talks will be added to the agenda for future reference.

Installation instructions

We strongly recommend version 4.4.x of R; older versions may work (and in particular 4.3.x is known to work).

For the interactive session, you will need recent versions of odin2, monty and dust2, which you can install from our R-universe:

install.packages(
  c("monty", "dust2", "odin2"),
  repos = c("https://mrc-ide.r-universe.dev", "https://cloud.r-project.org"))

You will also need a working C++ toolchain; you can test if you have one by running

pkgbuild::has_build_tools(debug = TRUE)
#> Trying to compile a simple C file
#> Running /opt/R/4.4.3/lib/R/bin/R CMD SHLIB foo.c
#> using C compiler: ‘gcc (Ubuntu 13.3.0-6ubuntu2~24.04) 13.3.0’
#> gcc -I"/opt/R/4.4.3/lib/R/include" -DNDEBUG   -I/usr/local/include    -fpic  -g -O2  -c foo.c -o foo.o
#> gcc -shared -L/opt/R/4.4.3/lib/R/lib -L/usr/local/lib -o foo.so foo.o -L/opt/R/4.4.3/lib/R/lib -lR
#> 
#> [1] TRUE

If this fails, you should follow instructions for your platform:

  • Windows: Install “RTools”, for 4.4.x of R see these instructions
  • macOS: Install the XCode command line tools following these instructions
  • Linux: This varies by distribution, and most users will likely have everything they need if they can install any packages.

Resources

All files can be found on the resources page. Slides are linked above and from the agenda

Registration Deadline

Registration is closed at the moment