National Science Foundation

NSF seeks fundamental research on resource conservation, energy recovery, and environmental protection through biotechnology, AI, quantum engineering, and sustainable manufacturing. Projects focus on creating domestic energy sources, minimizing waste, and closing resource loops to strengthen U.S. industrial resilience.

NSF seeks fundamental research on mass, momentum, energy, and species transport across multiple scales. Projects combine experiments, theory, and modeling to advance AI, manufacturing, biotechnology, energy, and quantum science applications.

NSF seeks research projects that revolutionize engineering education and workforce development through new cultural or curricular innovations, or by adapting proven models to new contexts across higher education and workplace-based programs.

NSF seeks research on how engineers develop professional skills across education, training, and workplace contexts. Projects should integrate engineering and social science expertise to build pathways creating ethical, globally-competent engineers ready for evolving technical careers.

NSF seeks proposals to develop and operate national-scale cyberinfrastructure systems that enable data-intensive and AI-driven research across science and engineering disciplines. Projects will create integrated data services to advance open science innovation and education.

NSF I-Corps Teams program accelerates translation of NSF-funded foundational research into commercial products and services. Provides entrepreneurial training, mentoring, and funding to validate market potential and attract third-party investment.

NSF STEM K-12 funds fundamental and applied research to improve STEM teaching and learning across formal and informal educational settings throughout the human lifespan. The program advances understanding of how to make STEM education more effective and accessible.

US-German collaborative research in chemistry and chemical processes seeks innovative scientific discoveries through streamlined international partnerships. The program reduces barriers by enabling single-proposal submission with unified review while maintaining separate funding control.

NSF supports faculty research at predominantly undergraduate institutions through RUI and ROA funding. These programs integrate research with undergraduate education, build institutional research capacity, and enable collaborations with research-intensive organizations across all scientific disciplines.

NSF funds educational initiatives and career development in Earth Sciences, including research internships for undergraduates and teachers, postdoctoral fellowships, and faculty research programs that integrate education with research to broaden participation in geosciences.

NSF seeks fundamental research on bidirectional human-machine interaction in physics-based environments. Projects should advance theory, modeling, or technologies for intelligent systems collaborating with humans in applications like disaster response, elder care, and dynamic workplaces.

NSF funds rigorous social science research to understand how scientific discovery happens, how science communicates its value, and how research translates into societal benefits and evidence-based policy. Projects should develop new theories, models, and analytical tools that advance understanding of science's mechanisms and impact.

NSF seeks interdisciplinary research on resilient infrastructure systems that function under extreme conditions—from natural disasters to technological disruptions. Projects should integrate systems thinking, data analytics, and socio-technical approaches to optimize design, operations, and performance across lifeline systems and communities.

NSF seeks rigorous research to understand research security threats, risks, and mitigation strategies across STEM fields. Projects should develop evidence-based insights, novel methodologies, and data-driven tools to inform U.S. research security policy and practice.

NSF supports early-career mathematical and physical sciences research at underrepresented institutions like R2 universities and minority-serving schools. This funding helps emerging faculty build competitive research programs and expand STEM workforce diversity.

Build interdisciplinary research networks combining learning science, education practice, and data science to create high-value datasets advancing K-12 mathematics learning. Phase I funds dataset generation; Phase II establishes a collaborative platform for sustained innovation.

Sustained funding for university-based materials research centers tackling fundamental science problems through multidisciplinary collaboration. MRSECs support infrastructure, industry partnerships, and a national network advancing materials discovery and education.

VINES supports fundamental research and technology development for next-generation intelligent networks spanning edge-to-cloud systems. The program aims to advance U.S. competitiveness in NextG wireless and emerging vertical industries while ensuring resilience and interoperability.