SC02: Everyday Reproducibility (Additional Fee)

Reproducibility is essential to statistics in both academia and industry. Indeed, reproducibility is fundamental to science, itself, and the public confidence in it. Beyond reproducibility, analyses must also be easy to share, access, and explore. Yet building analyses that meet these standards is rarely simple. The "reproducibility crisis" has drawn attention from both popular science and professional societies. This short course introduces participants to the core ideas behind reproducibility in statistics and data science, along with practical tools and workflows that make analyses more reproducible, shareable, and accessible. Our goal is to highlight approaches statisticians and data scientists across diverse fields and computing environments can readily adopt.