
AI may be the most transformative technology of this generation, potentially enabling significant acceleration of scientific discovery and societal benefits at a scale far beyond what humans alone can achieve. The Genesis Mission’s ambition to train 100,000 scientists and engineers in AI over the next decade through coordinated initiatives that treat AI technology and competency as foundational is commendable. The workforce demands of a scalable AI-powered innovation ecosystem will encompass the full lifecycle of AI development and implementation, as well as application by domain-specific practitioners seeking to amplify their work with AI tools. As stewards and operators of the building blocks of a robust AI ecosystem, and as educators of an emerging AI-enabled scientific workforce, Data Scientists (DSs) and Research Software Engineers (RSEs) are key drivers in achieving this ambitious goal, acting as essential workforce multipliers who operationalize AI into sustained scientific infrastructure. ADSA and US-RSE are providing this Response to ensure dedicated investment in the strong and ongoing partnerships between our organizations, Federal decision-makers, and the sectors in which much of this emerging workforce will eventually operate. Importantly, our organizations represent institutional and individual members from academia, industry, and National Laboratories, positioning us as strategic enablers of the dual-competency education and training envisioned by the Mission.
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| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
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| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
