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

As Principal Investigator at the University of Montana, I work alongside Lois Curfman McInnes and Anshu Dubey at Argonne National Laboratory and Denice Ward Hood and Santiago Ospina Tabares at the University of Illinois - Urbana Champaign. Our team is investigating how cross-disciplinary teams in scientific computing collaborate in the current period of rapid transformation and how we can support their capacity to learn and innovate.

This research identifies barriers and pathways to team effectiveness as emerging technologies, evolving team structures, and other forces transform the field. Through this project, we will iteratively engage with the scientific computing community to curate, deliver, refine, and promote resources that help cross-disciplinary teams produce high-quality scientific software.

Publications

workshop year 1 report cover

Our first workshop report offers a look at how this research is unfolding.

Presentations