Speaker
Description
Transparency and reproducibility are essential to good research practice. Although replicating scientific findings can be challenging, achieving full computational reproducibility for the outputs reported in a manuscript, is both necessary and achievable. This workshop will introduce participants to creating a reproducible workflow for a publication-ready manuscript that integrates data, analyses, text, figures, and references. Using Quarto with R or Python, we will discuss what Quarto is, why it is useful, and how to organise a project for reproducible workflows. I will briefly cover Markdown, inline code, code chunks for figures and tables, managing references with Zotero or BibTeX, and rendering manuscripts to multiple formats. The session includes a presentation and short live demonstration. Participants familiar with R, Python and Markdown are encouraged to follow along using their own laptops with Quarto and RStudio installed.
About:
I am a PhD student using evidence synthesis i.e. systematic reviews and meta-analyses to understand broad questions in behavioural ecology and evolution but I am especially interested in understanding sources of variation in traits. I am a strong advocate of open science and strive to incorporate open science practices into my work to make it transparent and reproducible. I’m also passionate about meta-research, particularly questions about how we conduct and evaluate science.
