Reproducibility of Computational Research Community of Practice

Wednesday, October 29, 2025 | 4:00PM–4:45PM CT | Meeting Room 204, Level 2
Session Type: Breakout Session
Delivery Format: Presentation/Panel Session
The advancement of scientific knowledge depends on the ability to reproduce research findings. While widely recognized as critical, reproducibility is often overlooked in practice. Building on discussions at PEARC22, SC22, PEARC23, and PEARC24, we launched the Reproducibility of Computational Research Community of Practice to promote reproducibility and reduce barriers to capturing reproducible artifacts during research. We propose a panel to engage the EDUCAUSE community in shaping and expanding this initiative. Our goal is to foster collaboration across institutions to develop research computing support services, build a shared repository of reproducibility tools and training materials, and increase community participation. A key focus is integrating reproducibility into both research and teaching. We aim to embed reproducibility practices and tools into academic IT infrastructure, enabling seamless, sustainable adoption. By involving diverse stakeholders—from IT professionals to faculty and researchers—we can make reproducibility a shared, accessible, and lasting component of the research lifecycle.

Presenters

  • Sandra Gesing

    Senior Researcher, Executive Director, University of California San Diego

  • Ben Lynch

    Director, University of Minnesota

  • Birali Runesha

    Associate Vice Presidend for Research Computing and Director of the Research Computing Center, University of Chicago