SC Ecosystems

Toward Next-Generation Ecosystems in Scientific Computing

The high-performance computing (HPC) community has long driven scientific discovery at the limits of scale, complexity, and performance. Today, this leadership role is evolving rapidly as AI-enabled methods, heterogeneous architectures, and data-intensive workflows reshape how scientific computing is conducted. At the center of this transformation lies high-quality scientific software: the durable embodiment of domain expertise, computational methods, and collaborative practice that enables discovery to scale beyond individuals and institutions.

Motivated by urgent findings from recent community reports on scientific software development and AI for science, energy, and security, we are convening cross-disciplinary experts spanning HPC, AI, computational science, applied mathematics, computer science, research software engineering, cognitive and social sciences, and community development. Our goal is to share, develop, and evaluate emerging strategies that address the challenges and opportunities shaping next-generation ecosystems for scientific computing.

MCS CoDesign

Recent Activities

  • November 2026: SC26 BOF on Ecosystems for Scientific Computing in the Age of AI

  • April 2026: Workshop on Harnessing community, software, and AI for cross-disciplinary team science
    • Workshop report: Report of the 2026 Workshop on Next-Generation Ecosystems for Scientific Computing: Harnessing Community, Software, and AI for Cross-Disciplinary Team Science. L. C. McInnes, D. Arnold, P. Balaprakash, M. Bernhardt, F. Cappello, B. Cerny, D. DiazGranados, A. Dubey, N. Etienne, R. Giles, D. Gómez-Zará, D. W. Hood, M. A. Leung, V. López-Marrero, O. B. Newton, I. Qualters, K. Teranishi, S. M. Wild, G. Allen, R. Arthur, A. Ballow, T. Baylis, D. E. Bernholdt, D. Bielich, J. Cohoon, J. Crampton, C. Ferenbaugh, S. M. Fiore, T. Herault, T. Islam, S. Jacobsohn, M. Lin, C. Lively, S. Matsuoka, S. Milojević, D. Nichols, C. Oehmen, S. Ospina Tabares, M. E. Papka, K. Riley, D. Rouson, S. K. Seal, B. Segundo, J. Shalf, A. Siegel, V. Taylor, J. Willenbring, L. Woodley. Report ANL-26/32, 2026. arXiv:2608.26519
  • April 2025: Workshop on Harnessing community, software, and AI for cross-disciplinary science
    • Workshop report: Report of the 2025 Workshop on Next-Generation Ecosystems for Scientific Computing: Harnessing Community, Software, and AI for Cross-Disciplinary Team Science. L. C. McInnes, D. Arnold, P. Balaprakash, M. Bernhardt, B. Cerny, A. Dubey, R. Giles, D. W. Hood, M. A. Leung, V. López-Marrero, P. Messina, O. B. Newton, C. Oehmen, S. M. Wild, J. Willenbring, L. Woodley, T. Baylis, D. E. Bernholdt, C. Camaño, J. Cohoon, C. Ferenbaugh, S. M. Fiore, S. Gesing, D. Gómez-Zará, J. Howison, T. Islam, D. Kepczynski, C. Lively, H. Menon, B. Messer, M. Ngom, U. Paliath, M. E. Papka, I. Qualters, E. M. Raybourn, K. Riley, P. Rodriguez, D. Rouson, M. Schwalbe, S. K. Seal, Ö. Sürer, V. Taylor, and L. Wu. Report ANL-25/47, 2025. arXiv:2510.03413

  • Michael A. Heroux, David E. Bernholdt, Lois Curfman McInnes, John R. Cary, Daniel S. Katz, Elaine M. Raybourn, and Damian Rouson. Basic Research Needs in the Science of Scientific Software Development and Use. US DOE, Advanced Scientific Computing Research, 2023. doi:10.2172/1846009

  • Jonathan Carter, John Feddema, Doug Kothe, Rob Neely, Jason Pruet, and Rick Stevens. Advanced Research Directions on AI for Science, Energy, and Security. 2023. doi:10.2172/1986455

  • National Academies of Sciences, Engineering, and Medicine. The Science and Practice of Team Science. Washington, DC: The National Academies Press, 2025. doi:10.17226/29043

  • Lois Curfman McInnes, Anshu Dubey, Dorian Arnold, Prasanna Balaprakash, Mike Bernhardt, Beth Cerny, Denice Ward Hood, Mary Ann E. Leung, Olivia B. Newton, and Stefan M. Wild. Ecosystems for Scientific Computing in the Age of Artificial Intelligence. Computing in Science & Engineering 28(2): 74-80, 2026. doi:10.1109/MCSE.2026.3685068