1,000+ Opportunities
Find the right grant
Search federal, foundation, and corporate grants with AI — or browse by agency, topic, and state.
This listing may be outdated. Verify details at the official source before applying.
Find similar grantsNSF Algorithmic Foundations (AF) Program is sponsored by National Science Foundation (NSF). Supports research on the theory of algorithms, focusing on problems central to computer science and engineering, and the development of new algorithms and techniques.
Get a weekly digest of new grants like this
A free weekly digest of new foundation and federal funding opportunities as they're added to Granted. Unsubscribe anytime.
Or search similar grants →Extracted from the official opportunity page/RFP to help you evaluate fit faster.
Algorithmic Foundations (AF) | NSF - U.S. National Science Foundation Computer and Information Science and Engineering : Future Computing Research (Future CoRe) Algorithmic Foundations (AF) Important information for proposers and award recipients All proposals must be submitted in accordance with the requirements specified in the funding opportunity and in the Proposal & Award Policies & Procedures Guide (PAPPG) and its supplements .
All NSF grants and cooperative agreements are subject to the applicable set of NSF award terms and conditions . NSF has updated its research security policies for NSF funded projects. Supports research on the theory of algorithms focused on problems that are central to computer science and engineering, and the development of new algorithms and techniques for analyzing algorithms and computational complexity.
Supports research on the theory of algorithms focused on problems that are central to computer science and engineering, and the development of new algorithms and techniques for analyzing algorithms and computational complexity. The Algorithmic Foundations (AF) program supports potentially transformative projects in the theory of algorithms. Projects should be characterized by algorithmic innovation accompanied by rigorous analysis.
Of interest is research on algorithms for problems that are central to computer science and engineering, as well as new techniques for the rigorous analysis of algorithms and computational complexity. AF supports theoretical research that bounds the intrinsic difficulty of problems to determine measures of complexity in formal models of computation, classical or new.
The goal is to understand the fundamental limits of resource-bounded computation and to obtain efficient algorithms operating within those limits. Research on resources other than the traditional time and space measures, such as communication and energy, is also encouraged, as is research on tradeoffs between resource use and solution quality, such as running time vs. approximation error.
Rigorous analysis of properties of algorithms relating to fairness, ethics, accountability, transparency, and privacy is also in scope. In addition to the traditional sequential-computing paradigm, AF supports research on the design and analysis of novel algorithms in parallel and distributed models, as well as computational models and algorithms that capture essential aspects of computing over massive data sets.
New techniques for the design and analysis of algorithms and analysis of problem complexity in areas such as optimization, cryptography, computational geometry, game theory and economics, social networks, machine learning, and numeric, symbolic, and algebraic computing are within the scope of this program.
The program also supports research in algorithms needed in applied areas of research, including algorithmic research on problems arising in other areas of research on computing. While relevance to application areas is important and collaboration with researchers in these areas is encouraged, research funded by this program must advance the theoretical study of algorithms.
When accompanying rigorous analysis of computational resource requirements and/or algorithmic performance measures, implementation efforts and empirical evaluation are considered strong broader impacts. Letters of collaboration from applied researchers are encouraged. Emerging topics such as quantum computing and biological models of computation are now addressed in the Foundations of Emerging Technologies (FET) program.
However, projects in these areas focused on foundational issues of algorithms and complexity in these topics, as described above, can also be considered by the AF program.
August 22, 2025 - NSF CISE Virtual Office Hours: For the AF, CIF, FET, and SHF… August 14, 2025 - NSF CISE Core Solicitation: Future Computing Research NSF 25-… Awards made through this program Browse projects funded by this program Map of recent awards made through this program Computer and Information Science and Engineering : Future Computing Research (Future CoRe) Directorate for Computer and Information Science and Engineering (CISE)
According to the current listing, eligibility includes: Academic institutions, non-profit organizations, and other entities eligible to receive federal funding. Confirm the full requirements in the official notice before applying.
NSF Algorithmic Foundations (AF) Program is funded by National Science Foundation (NSF). Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
MGPV Travel Grant is sponsored by Geological Society of America (GSA), Mineralogy, Geochemistry, Petrology, Volcanology Division. MGPV Travel grants support student travel to the annual GSA meeting. Applications are restricted to active graduate or undergraduate students who are the presenting authors of an accepted abstract at the annual GSA meeting.
Research Opportunities in Space and Earth Science (ROSES) - 2025: A.4 Rapid Response and Novel Research in Earth Science is sponsored by National Aeronautics and Space Administration (NASA) Science Mission Directorate (SMD). This omnibus research funding opportunity includes various program elements, with rolling submissions for Earth Science research through August 2026. Proposers to Earth Science using the NASA Center for Climate Simulation high-end computing facility must include specific budget details.
TCUP lists eight funding tracks and roughly $10.3M a year, but the October 14, 2026 deadline applies to only three of them — CHAI, Pre-TI, and TCUP Partnerships — and each carries a restriction that disqualifies most applicants. Here is the track-by-track math.
Read articleNSF 26-513 makes roughly $100 million available for up to 10 State and Regional AI Infrastructure Hubs at $4M to $12M each over five years. One award per state or multi-state region. One proposal per organization. And NSF is not buying you GPUs — it funds the coordination, the workforce and the faculty training, while the compute has to come from partners you have to already have.
Read articleAs of September 12, NSF had obligated $6.3 billion across 6,200 grants versus $8.1 billion and 8,600 last year. AHRQ has made 61 awards. Judge Allison Burroughs ordered the government to report by September 28 on whether IES will obligate $180 million before it expires. Here is what actually happens to the money on October 1 — and what it means for your FY2027 application.
Read article