The U.S. National Science Foundation today announced two major advancements in America’s AI infrastructure: the launch of the Integrated Data Systems and Services (NSF IDSS) program to build out national-scale data systems and the selection of 10 datasets for integration into the National Artificial Intelligence Research Resource (NAIRR) Pilot.

These efforts directly align with priorities outlined in the White House AI Action Plan, which calls for investments in research infrastructure and datasets to strengthen U.S. leadership in AI research, education and innovation.

NSF IDSS: Building a national integrated data infrastructure

The NSF IDSS program will fund the development and operation of powerful national-scale systems and associated services that allow researchers across the country to access, use and share scientific data — accelerating innovation and strengthening American competitiveness in AI and other sectors.

Currently, there are no dedicated programs at NSF that support operational national-scale data systems. IDSS fills this gap by enabling the deployment of high-impact platforms that serve research and education communities and interoperate with other federal science and data infrastructure efforts.

A robust data infrastructure is also critical to the success of the NSF-led NAIRR Pilot, a key initiative expanding access to AI research resources. As AI transforms sectors from health care and agriculture to energy and national defense, researchers face the challenge of accessing and integrating vast data to power advanced AI systems. Awarded

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The U.S. National Science Foundation has announced two new Dear Colleague Letters (DCL) and one program solicitation that implement key elements of the Trump administration’s executive order, “Advancing Artificial Intelligence Education for American Youth.” The new opportunities will take decisive steps to expand resources for K-12 AI education, enhance teacher training and harness AI tools and services to improve science, technology, engineering and mathematics (STEM) teaching and learning.

“For decades, NSF has invested in research projects designed to transform STEM teaching and learning to meet emerging needs like AI. Integrating AI into education systems helps to prepare both young and adult learners to contribute to an AI-driven society,” said NSF Assistant Director for STEM Education James L. Moore III. “With these new funding mechanisms, NSF will fast-track its efforts to provide early exposure to AI, scale AI curricula, expand services that support the use of AI in education, advance teacher professional development and improve knowledge sharing in AI education to help sustain the nation’s leadership in technological innovation.”

Dear Colleague Letters

The Expanding K-12 Resources for AI Education DCL seeks to build upon NSF’s extensive investments in fundamental research, technology transition and education related to the science and application of AI. Existing awardees with K-12 AI or computer science education experience are invited to submit supplemental funding proposals to refine, scale, and/or implement established K-12 AI-related activities.

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