Funding Search

Supports efforts to improve the adoption of cyberinfrastructure resources by the research community and integrate core literacy, skills in advanced cyberinfrastructure, and computational and data-driven methods into undergraduate and graduate education.

Supports materials design and development through the integration of experiments, computation and data-driven methods, while fostering interdisciplinary collaboration and training the next generation of the materials R&D workforce.

Supports research at the interface of innovative computational and AI technologies and new strategies/technologies in mathematical reasoning to guide and enhance research in the mathematical sciences, formal methods and AI.

Supports research capacity, project planning and partnership building at minority-serving institutions to broaden participation in computer and information science and engineering.

Supports partnerships and research that helps equip high school teachers to teach computer science, K-8 teachers to incorporate computer science and computational thinking in their classes, and school districts to create computing pathways across all grades.

Supports collaborative research to develop methodologies for designing and implementing correct-by-construction computational and communication systems and applications.

Supports interdisciplinary, high-risk research that integrates intelligent technologies with natural and built environments to tackle critical challenges and enhance the quality of life in communities through collaboration with stakeholders.

Supports long-term, multi-institutional research with the potential to transform computer and information science and engineering.

The Collaborations in Artificial Intelligence and Geosciences (CAIG) program seeks to advance the development and adoption of innovative artificial intelligence (AI) methods to increase scientific understanding of the Earth system. The program supports projects that advance AI techniques and/or innovative...

Supports research on engineered systems with a seamless integration of cyber and physical components, such as computation, control, networking, learning, autonomy, security, privacy and verification, for a range of application domains.

The Community Infrastructure for Research in Computer and Information Science and Engineering (CIRC) program drives discovery and learning in the core disciplines of the three participating CISE divisions [Computing and Communication Foundations (CCF), Computer and Network Systems (CNS), and Information...

Supports foundational research addressing the substantial environmental impacts of computing. Projects should surpass studies of energy efficiency alone, pursuing dramatic improvements to overall sustainability.

Supports interdisciplinary collaborative research to explore new computational technologies and accelerate scientific discovery.

Supports early-career scientists at non-Carnegie R1 institutions in computer and information science and engineering who lack access to organizational resources, enabling them to undertake exploratory research and develop collaborations and new approaches.

Supports collaborative, large-scale fundamental research within the scope of one or more of the participating CISE divisions' core programs.

Supports interdisciplinary research and education to develop a secure, resilient and trustworthy global cyber ecosystem by addressing vulnerabilities, improving trust in cyber systems and cultivating a well-trained cybersecurity workforce.

Supports research and education projects that develop new knowledge in all aspects of computing, communications, information science and engineering as well as advanced cyberinfrastructure.

Supports the development of transformative advances in computer and information science, engineering, mathematics, statistics, behavioral and cognitive research to address pressing questions in the biomedical and public health communities.

Supports research collaborations between mathematicians, statisticians, computer scientists, engineers and social behavior scientists to establish innovative and principled design and analysis approaches for AI technology.

Supports early-stage research in emerging technologies such as AI, robotics and immersive or augmenting technologies for teaching and learning that respond to pressing needs in real-world educational environments.

Supports collaborative high-risk, high-reward projects to develop cutting-edge tools and methods that advance RNA biological research and biotechnology for applications across various sectors, including agriculture, energy and global health.