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Iterative Co-Design, Co-Development and Co-Delivery: Accelerating S&T Productivity

Authors: Leung, Mary Ann; Heroux, Michael; Vuduc, Richard; Fiore, Stephen M.; Hood, Denice; Newton, Olivia; Raybourn, Elaine M.; +16 Authors

Iterative Co-Design, Co-Development and Co-Delivery: Accelerating S&T Productivity

Abstract

Computing has been central to scientific and engineering discovery for several decades. AI has further advanced our computing capabilities, while also creating technical and workforce challenges and opportunities. This lightning talk presents work from a cross-sector coalition spanning universities, industry, DOE laboratories, and workforce leaders. AI is transforming and disrupting, creating an inflection point that requires more than scaling existing programs; it demands integrated strategies that align research, infrastructure, data, and workforce training across sectors and geographic regions. Learners must be prepared not only to use existing tools, but also to co-develop, evaluate, deploy, and adapt emerging technologies. We suggest integrating educators and learners into a coordinated ecosystem of research, development, education, training, and community building through funded multi-institutional co-design projects that evolve in real time. Reference: https://doi.org/10.6084/m9.figshare.31564060

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