The NSF Computer and Information Science and Engineering (CISE) Core Research programs support foundational advances that shape the entire digital and computational ecosystem. Unlike applied or translational programs focused on near-term deployment, the CISE Core programs invest in fundamental principles, rigorous theory, conceptual breakthroughs, and early-stage discoveries that will underpin future technologies across science, engineering, defense, industry, and society. CISE funds research that expands the mathematical and theoretical foundations of computation, designs new architectures and algorithms, deepens understanding of human–computer interaction, enhances security and privacy, and advances artificial intelligence and intelligent systems. 

The CISE Directorate is organized into three major divisions, each supporting its own core research portfolios: 

• Computing and Communication Foundations (CCF): algorithmic theory, cryptography, information theory, quantum information science, formal methods, computational complexity, and novel models of computation. 

• Computer and Network Systems (CNS): distributed systems, next-generation networking, operating systems, cloud and edge infrastructures, cyber-physical systems, IoT, trustworthy computing, and resilience engineering. 

• Information and Intelligent Systems (IIS): artificial intelligence, machine learning, natural language processing, computer vision, robotics, human-computer interaction, data science, information integration, and socio-technical systems. 

Together, these divisions serve as the intellectual foundation for all of computing—supporting research that leads to transformative innovations in areas as diverse as cybersecurity, robotics, semiconductor design, biotechnology, social computing, and large-scale data systems. 

Eligibility follows standard NSF guidelines. Applicants must be affiliated with eligible U.S. institutions such as accredited universities, nonprofit research organizations, or qualified small businesses. Proposals must emphasize fundamental research, not product development. For-profit companies may apply only when the work contributes to basic scientific understanding, and international collaborators may participate through subawards but cannot receive direct NSF funds as primary recipients. 

Competitive CISE proposals exhibit strong intellectual merit, methodological rigor, and the potential for long-term disciplinary impact. Broader impacts may involve open-source contributions, cybersecurity training, AI ethics frameworks, data-science education, workforce development, or broadening participation in computing. Clear project management, evaluation plans, and reproducibility strategies are essential, particularly for complex computational systems. 

ScienceDocs Can Help 

ScienceDocs supports CISE applicants with algorithmic narrative development, AI/ML methodology sections, computational modeling plans, broader-impact strategies, and full proposal preparation. 
Start at https://www.sciencedocs.com/quotes/.