

From data analysis to publication: Reproducible research with R and Quarto
Research is most valuable when others can understand it, reproduce it, and build upon it. Yet many research workflows still rely on disconnected files, manual copy-and-paste steps, and documents that are difficult to update or share.
In this workshop, we will explore how R and Quarto can help create reproducible research workflows that take you from data analysis to publication using open-source tools.
Participants will learn how to integrate code, results, figures, tables, and narrative into a single document, making it possible to generate academic manuscripts, technical reports, presentations, and even theses from the same source. By combining analysis and writing in a reproducible workflow, researchers can improve transparency, reduce errors, and make their work easier to maintain and share.
During the session, we will cover:
Creating reproducible research documents with Quarto
Combining R code, results, figures, and narrative
Generating reports, manuscripts, presentations, and other outputs
Organizing research projects for transparency and reproducibility
Sharing and publishing research using open-source tools
This workshop is designed for undergraduate and graduate students, early-career researchers, and anyone interested in adopting reproducible research practices.
Whether you are preparing a thesis, writing a manuscript, or creating analytical reports, this session will provide practical tools to streamline your workflow and improve the reproducibility of your work.
Speakers
Betsabé Cohen
Betsabé Cohen is a sociologist from the University of Buenos Aires (UBA), specialized in cultural industries, and a candidate for the Master’s Degree in Generation and Analysis of Statistical Information at the National University of Tres de Febrero (UNTREF). She is a co-organizer of the Buenos Aires R-Ladies+ chapter and actively promotes the use of open-source tools for research and data analysis.
Jesica Formoso
Jesica Formoso holds a PhD in Cognitive Psychology and is a researcher at Argentina’s National Scientific and Technical Research Council (CONICET). She specializes in statistics for the health sciences and is a co-organizer of the Buenos Aires R-Ladies+ chapter. Her work focuses on applying statistical methods and reproducible workflows to scientific research.