Atom Grants
Discover
  • Dashboard
  • Search
  • Deep Research
  • Favorites
  • Projects

    U.S.-UK Center-to-Centre Collaboration Opportunities for Artificial Intelligence and Quantum Information Science and Technology

    Forecasted

    NSF offers supplemental funding for current AI and quantum science center awardees to collaborate with UKRI Hubs, advancing joint research, innovation, and workforce development in AI and quantum technologies.

    Browse similar grants
    AI Research Grants 2026

    Funder: U.S. National Science Foundation

    Due Dates (Anticipated): March 2027 (encouraged: March 1) | May 2027 (final: May 1)

    Funding Amounts: Up to $500,000 per supplemental funding request; duration up to 12 months; subject to availability of funds and quality of request.

    Summary: Supports supplemental funding for current NSF center-scale awardees to collaborate with UKRI AI and Quantum Technology Hubs, advancing international research in AI and quantum information science.

    Key Information: Only current PIs/co-PIs of eligible NSF center/institute-scale awards in AI or QIST may apply.


    Description

    This opportunity provides supplemental funding for existing U.S. National Science Foundation (NSF) center-scale or institute-scale awardees in artificial intelligence (AI) or quantum information science and technology (QIST) to establish or deepen collaborative research activities with UK Research and Innovation (UKRI) AI Hubs or Quantum Technology Research Hubs. The initiative aims to leverage complementary strengths in both countries to accelerate scientific progress, promote technological innovation, and foster workforce development in critical areas such as AI-driven biotechnology, quantum sensors, and data standardization. Activities may include joint research, workforce training, infrastructure development, and translation of foundational research into practical applications.


    Atom

    See the full grant listing

    Sign in to view full eligibility details, sources, similar grants, and AI-powered analysis.