We’re excited to share a new interview with Kate Keahey, published by David Bernholdt on BSSw.io, spotlighting the recently released “Report on Challenges of Practical Reproducibility for Systems and HPC Computer Science.” This workshop brought together leading practitioners to discuss concrete barriers and solutions for enabling hands-on, artifact-driven reproducibility in computational research.

Key takeaways:

• Practical reproducibility means researchers can interactively reproduce, modify, and teach with digital experiments—not just read results.
• New NSF-sponsored platforms like Chameleon, FABRIC, and ARA are making complex hardware resources broadly available, lowering the replication barrier.
• The workshop generated actionable best practices, including checklists for packaging computational artifacts and insights on reviewer–author collaboration.
• Next steps include expanding digital experiment libraries (like Trovi on Chameleon) and piloting AI tools for environment setup.

Read the interview and access the full report to bring best practices and new tools into your own reproducibility initiatives!

Link to blog: https://bssw.io/blog_posts/practical-reproducibility-report-from-the-community-workshop