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Post-meeting Resources
📃Slides:
@Jan Meeting Slide - Reproducible Analysis Workflows.pdf
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Date: Feb 6, 2026
Presenter: Vahid Alizadeh
Learning Community: Open Science in Practice: Tools and Workflows for Transparent, Reproducible Research
Reproducible analysis workflows represent a paradigm shift in computational research, combining literate programming, version control, containerized environments, and systematic documentation into a cohesive ecosystem. Modern reproducible research requires mastering an interconnected set of tools and practices that ensure scientific analyses can be understood, validated, and reused by others—addressing the fundamental reproducibility crisis affecting modern science.
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The Current State: Studies show that only 8.5% of published Jupyter notebooks produce identical results when re-executed, and only 36% of psychology studies successfully replicate with effects half the original magnitude. Without reproducibility, research impact is diminished, resources are wasted on redundant work, and scientific consensus becomes unreliable.
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What's Changed in 2024-2025: The landscape has evolved significantly with Quarto emerging as the dominant literate programming platform, GitHub Actions becoming standard for research CI/CD, and evidence-based code review practices now clearly quantified. These developments enable unprecedented reproducibility when properly implemented.
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By mastering these workflows, you will be able to: