Reproducible Research Using Bazel

Overview

Discover how Bazel can address the reproducibility crisis in research, enabling confident exploration of ideas while mitigating technical debt and creating sustainable, scalable experimental designs.

Syllabus

• Introduction to Reproducible Research
Importance of reproducibility in research
Challenges in achieving reproducibility
• Overview of Bazel
What is Bazel?
Key features and advantages
• Setting Up Bazel for Research
Installation and configuration
Understanding Bazel's build system
• Fundamentals of Bazel Build Scripts
Writing simple BUILD files
Managing dependencies and environments
• Achieving Reproducibility with Bazel
Ensuring deterministic builds
Using Bazel to handle versioning and caching
• Bazel for Data and Model Management
Structuring data pipelines with Bazel
Versioning datasets and models
• Advanced Bazel Techniques
Creating custom Bazel rules
Optimizing build performance
• Collaborative Research with Bazel
Sharing and collaborating on Bazel projects
Integrating CI/CD with Bazel for research
• Case Studies: Bazel in Action
Real-world examples of reproducible research using Bazel
Lessons learned and best practices
• Mitigating Technical Debt with Bazel
Identifying and reducing technical debt
Building sustainable and scalable experimental designs
• Future Trends in Reproducible Research
Emerging tools and technologies
The evolving role of Bazel in research
• Conclusion and Next Steps
Recap of key concepts
Resources for further learning

Subjects

Programming