Title: Building a Reproducible Analytical Pipeline (RAP) for Simulation with Python and R
Speaker: Amy Heather
Date: Thursday 18th June 2026 1pm-2pm
Summary: Reproducible Analytical Pipelines (RAPs) are becoming essential in the NHS for producing transparent, trustworthy analysis and modelling at scale. In this webinar, we’ll walk through a full RAP built around a discrete‑event simulation (DES) model, using examples from the DES RAP Book (https://pythonhealthdatascience.github.io/des_rap_book/). We’ll show how we created DES models in both SimPy (Python) and simmer (R), while meeting the NHS Levels of RAP criteria at gold status. We’ll highlight practical steps you can take to make your own work more reproducible and robust.
Link to view presentation: https://pythonhealthdatascience.github.io/des_rap_nhs_oa_presentation/.