Speaker
Description
This workshop is aimed at early career researchers who want to develop workflows that allow collaborators, peers and their future selves to reliably run and understand their code. We will explore common sources of irreproducibility, such as lack of documentation, inconsistent project structure, errors derived from copy-paste, among others.
Participants will learn practical strategies for organizing R projects, documenting analyses, managing dependencies, testing code, and writing clear, reusable code, and how to make it openly available. The workshop emphasizes realistic, day-to-day practices rather than
idealized solutions.
About:
I am an ecologist with a strong interest in quantitative methods, reproducible research, and open science. Over the last years, my work has primarily focused on using innovative approaches to statistically decompose complex sources of phenotypic variation between and within individuals, leading to the development of the R package VarDecomp
(still under development), which facilitates variance decomposition of mixed models within a Bayesian framework. As an active member of SORTEE and a trainer of R-Ladies Cologne, I advocate for open, reproducible and transparent research practices, which include the development and promotion of workflows for reproducible code.
