The three Rs of trustworthy science
Replicability, Reproducibility and Robustness
Welcome
The aim of this book is to provide a critical and up-to-date overview of concepts related to trust in science from theoretical, philosophical, and statistical perspectives. The book seeks to offer a guide to key contributions in replicability, reproducibility and robustness. It is intended as a broad and rapid conceptual introduction to these topics, integrated with practical R examples for readers to gain a concrete understanding of the concepts. The book is designed for teaching a short course in the “flipped” classroom format, where students are expected to read the chapters before class and then engage in discussions and practical exercises during class time. The book is also suitable for self-study, as it provides a self-contained overview of the topics covered.
Book structure
The book is written in Quarto. All materials and source code are on GitHub. The main language used in the statistical part of the book is R. R functions developed specifically for the examples in the book are collected in the R folder. You are free to fork, share and reuse contents. If you have suggestions, additions, comments or improvements to the content you can submit a pull request on Github or contact Filippo Gambarota (filippo.gambarota@unipd.it).