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Report of the 2025 Workshop on Next-Generation Ecosystems for Scientific Computing: Harnessing Community, Software, and AI for Cross-Disciplinary Team Science

Technical Report ·
DOI:https://doi.org/10.2172/2589068· OSTI ID:2589068
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  1. Argonne National Laboratory (ANL), Argonne, IL (United States)
  2. Emory Univ., Atlanta, GA (United States)
  3. Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
  4. Team Libra, Oak Harbor, WA (United States)
  5. Boston Univ., MA (United States)
  6. Univ. of Illinois at Urbana-Champaign, IL (United States)
  7. Sustainable Horizons Institute, Rancho Mirage, CA (United States)
  8. Stony Brook Univ., NY (United States)
  9. Univ. of Montana, Missoula, MT (United States)
  10. Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
  11. Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
  12. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
  13. Center for Scientific Collaboration and Community Engagement, Oakland, CA (United States)
  14. Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
  15. California Institute of Technology (CalTech), Pasadena, CA (United States)
  16. Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
  17. Univ. of Central Florida, Orlando, FL (United States)
  18. US Research Software Engineers Association, Chicago, IL (United States)
  19. University of Notre Dame, IN (United States)
  20. Univ. of Texas, Austin, TX (United States)
  21. Texas State Univ., San Marcos, TX (United States)
  22. Ford Motor Company, Detroit, MI (United States)
  23. GE Aerospace Research, Niskayuna, NY (United States)
  24. Argonne National Laboratory (ANL), Argonne, IL (United States); Univ. of Illinois, Chicago, IL (United States)
  25. Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)
  26. George Washington Univ., Washington, DC (United States)
  27. National Academy of Sciences, Washington, DC (United States)
  28. Miami Univ., Oxford, OH (United States)
  29. Univ. of Pittsburgh, PA (United States)
+ Show Author Affiliations

This report summarizes insights from the 2025 Workshop on Next-Generation Ecosystems for Scientific Computing: Harnessing Community, Software, and AI for Cross-Disciplinary Team Science, which convened more than 40 experts from national laboratories, academia, industry, and community organizations to chart a path toward more powerful, sustainable, and collaborative scientific software ecosystems. To address urgent challenges at the intersection of high-performance computing (HPC), AI, and scientific software, participants envisioned agile, robust ecosystems built through socio-technical co-design—the intentional integration of social and technical components as interdependent parts of a unified strategy. This approach combines advances in AI, HPC, and software with new models for cross-disciplinary collaboration, training, and workforce development. Key recommendations include building modular, trustworthy AI-enabled scientific software systems; enabling scientific teams to integrate AI systems into their workflows while preserving human creativity, trust, and scientific rigor; and creating innovative training pipelines that keep pace with rapid technological change. Pilot projects were identified as near-term catalysts, with initial priorities focused on hybrid AI/HPC infrastructure, cross-disciplinary collaboration and pedagogy, responsible AI guidelines, and prototyping of public-private partnerships. This report presents a vision of next-generation ecosystems for scientific computing where AI, software, hardware, and human expertise are interwoven to drive discovery, expand access, strengthen the workforce, and accelerate scientific progress.

Research Organization:
Argonne National Laboratory (ANL), Argonne, IL (United States)
Sponsoring Organization:
USDOE Office of Science (SC)
DOE Contract Number:
AC02-06CH11357
OSTI ID:
2589068
Report Number(s):
ANL--25/47; 199257
Country of Publication:
United States
Language:
English

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Related Subjects

97 MATHEMATICS AND COMPUTING
AI
cross-disciplinary team science
scientific computing
socio-technical co-design
software ecosystems