Workshops

Quarto for reproducible analyses and academic writing (English)
Elen Le Foll (Department of Romance Studies, University of Cologne)

Have you ever found yourself copying and pasting the results of your analyses from one programme to another while writing a paper or thesis? Not only is it frustrating to have to do this every time you update your analyses, it is also very error-prone!

This hands-on workshop introduces a reliable, reproducible way to combine text, statistical analyses, tables, figures and cross-linked references in a single publishing format: Quarto. As a multi-language format, Quarto can be used with R, Python, Stata, and many other programming languages, and is also a great tool for academic writing even if you don’t code. It enables you to seamlessly export your research to a variety of formats, including PDF, Microsoft Word and Powerpoint, LibreOffice, and HTML.

To take part actively, please bring your laptop along and ensure that you have updated versions of R, RStudio, and Quarto installed (see detailed instructions). No prior experience is required. If you’d rather just come to listen and try things out at home, that’s fine, too. 


Hands‑on stats clinic (English and German)
Annika Schiefner (University of Amsterdam)

PhD students in linguistics often face messy or heterogeneous data, uncertain coding choices, and a multitude of plausible analytic routes. In this workshop, we will get you the support you need to tackle these issues, so please bring your laptop and your data questions and let’s get going.

You will get a short orientation to common statistical analyses and then work in small groups to develop the optimal approach for your own project. I will support you to find your own analytical approach, meeting you where you are at. For some, that might mean preparing a data cleaning and analysis plan, for others, it means sketching the R code for your analyses. While it won’t be feasible to run every full analysis in the session, we will plan achievable next steps to keep your project moving.