Next-Generation Ecosystems for Scientific Computing: Harnessing Community, Software, and AI for Mission-Driven Team Science

Our goal is to assess and transform team-based scientific software, with emphasis on building ecosystems to address the needs of next-generation research in scientific computing, while advancing emerging AI technologies.

Next-Generation Ecosystems for Scientific Computing: Harnessing Community, Software, and AI for Mission-Driven Team Science

Check out our year 1 workshop report to learn more about this effort.

My Role

I serve as PI at the University of Montana. My collaborators are Lois Curfman McInnes and Anshu Dubey at Argonne National Laboratory and Denice Ward Hood at the University of Illinois.

Presentations

Newton, O. B., Dubey, A., Hood, D. W., & McInnes, L. C. (2025). Collaboration in Scientific Software: A Systematic Literature Review. US Research Software Engineering Conference 2025 (USRSE’25), Philadelphia, PA, USA. Zenodo. https://doi.org/10.5281/zenodo.17281562

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