NUMBAT Workshop: Reproducible reporting, academic papers, presentations and theses with quarto
In an era where transparency, collaboration, and reproducibility are central to trustworthy research and data-driven decision-making, the ability to produce well-documented, reproducible outputs is essential. This tutorial introduces practical tools and workflows that help you create high-quality, shareable research products—from analysis reports and academic papers to engaging presentations. Using R and Quarto, you’ll learn how to structure projects for reproducibility, integrate code with narrative, and produce outputs that are both visually polished and methodologically transparent. These skills not only support better science, but also make your work easier to update, easier to share, and more impactful.
Presenters:
Krisanat Anukarnsakulchularp is a first year PhD student. He is working on a graph data structure to help betters understand and explore the spatio-temporal multivariate network data.
Jayani Lakshika is a final year PhD student. She is working on methods to help decide on the best nonlinear low dimensional representation of high dimensional data, and is the author of several R packages.
Janith Wanniarachchi is a second year PhD student. Previously he has worked at Appsilon as an R/Shiny Developer and as a software developer in the data science industry. His current research is on building interactive tools to understand how AI models work.
The team is being mentored for this tutorial by Professor Di Cook.
Background: You should have a basic understanding of R to the level of working after reading R4DS and possibly some knowledge of quarto or RMarkdown. You are a researcher wishing to improve your skills in reproducible reporting of data analysis, or a PhD student ready to embark on publishing your research, or a data analyst preparing regular reports. Some understanding of html and css is helpful but not required.
Website: https://numbat-tutorials.github.io/tutorial_reproducibility_with_quarto/
Details
Venue: Learning & Teaching Building (LTB) G56, Monash University Clayton Campus
Date: 25/07/2025
Time: 1:00pm - 4:30pm