2026-05-06 –, Track 1
This introductory session is designed to help participants get started with writing reproducible manuscripts using R Markdown. It provides an overview of key principles and practical skills, including how to create, format, and render documents and integrate code, data, figures, tables, and references within a reproducible workflow. Participants will be guided through ready-to-use R Markdown templates that support the creation of APA-compliant, publication-ready manuscripts. The session is intended for researchers interested in improving transparency and reproducibility in their writing process. Some prior familiarity with R programming will be helpful.
I believe this session fosters diversity and inclusion by lowering barriers to adopting reproducible research practices. By introducing participants to freely accessible tools for writing reproducible manuscripts, it empowers researchers from a wide range of backgrounds and experience levels to integrate transparent workflows into their work. Sharing code and data enables others to learn from existing projects, promotes collaborative skill-building, and makes it easier to detect and correct errors. This contributes to a more constructive research culture in which mistakes are treated as opportunities for improvement rather than failures.
As more researchers adopt reproducible writing practices, transparency and methodological rigor increase across the field. Reproducible analyses make findings more robust, which is a crucial prerequisite for successful replication. In this way, the widespread use of reproducible workflows can meaningfully contribute to improving scientific quality and addressing ongoing concerns about replicability.
Please note any pre-requisite knowledge/expertise you will expect from attendees (i.e., is the session most appropriate for someone who already has experience with a topic?).:Some prior familiarity with R programming will be helpful.
