Search Grant Opportunities

Mathematical Foundations of Artificial Intelligence

ID: 24-569 • Type: Posted
Opportunity Assistant

Hello! Please let me know your questions about this opportunity. I will answer based on the available opportunity documents.

Sign in to upload a capability statement or catalogue for your company

Some suggestions:
Please summarize the work to be completed under this opportunity
Who is eligible to apply for this grant?
I'd like to anonymously submit a question to the procurement officer(s)

Description

Machine Learning and Artificial Intelligence (AI) are enabling extraordinary scientific breakthroughs in fields ranging from protein folding, natural language processing, drug synthesis, and recommender systems to the discovery of novel engineering materials and products. These achievements lie at the confluence of mathematics, statistics, engineering and computer science, yet a clear explanation of the remarkable power and also the limitations of such AI systems has eluded scientists from all disciplines. Critical foundational gaps remain that, if not properly addressed, will soon limit advances in machine learning, curbing progress in artificial intelligence. It appears increasingly unlikely that these critical gaps can be surmounted with increased computational power and experimentation alone. Deeper mathematical understanding is essential to ensuring that AI can be harnessed to meet the future needs of society and enable broad scientific discovery, while forestalling the unintended consequences of a disruptive technology. The National Science Foundation Directorates for Mathematical and Physical Sciences (MPS), Computer and Information Science and Engineering (CISE), Engineering (ENG), and Social, Behavioral and Economic Sciences (SBE) will jointly sponsor research collaborations consisting of mathematicians, statisticians, computer scientists, engineers, and social and behavioral scientists focused on the mathematical and theoretical foundations of AI. Research activities should focus on the most challenging mathematical and theoretical questions aimed at understanding the capabilities, limitations, and emerging properties of AI methods as well as the development of novel, and mathematically grounded, design and analysis principles for the current and next generation of AI approaches. Specific research goals include: establishing a fundamental mathematical understanding of thefactors determining the capabilities and limitations of current and emerging generations of AI systems, including, but not limited to, foundation models, generative models, deep learning, statistical learning, federated learning, and other evolving paradigms; the development of mathematically grounded design and analysis principles for the current and next generations of AI systems; rigorous approaches for characterizing and validating machine learning algorithms and their predictions; research enabling provably reliable, translational, general-purpose AI systems and algorithms; encouragement of new collaborations in this interdisciplinary research community and between institutions. The overall goal is to establish innovative and principled design and analysis approaches for AI technology using creative yet theoretically grounded mathematical and statistical frameworks, yielding explainable and interpretable models that can enable sustainable, socially responsible, and trustworthy AI.
Show All

Overview

Agency
National Science Foundation (NSF)
Category of Funding
Science and Technology and other Research and Development
Funding Instruments
Grant
Grant Program (CFDA)
47.041 - Engineering
47.049 - Mathematical and Physical Sciences
47.070 - Computer and Information Science and Engineering
47.075 - Social, Behavioral, and Economic Sciences
Grant Category
Discretionary
Cost Sharing / Matching Requirement
False
Source
Grants.gov
On 5/2/24 National Science Foundation posted grant opportunity 24-569 for Mathematical Foundations of Artificial Intelligence with funding of $8.5 million. The grant will be issued under grant program 47.041 Engineering.

Timing

Posted Date
May 2, 2024, 12:00 a.m. EDT
Closing Date
Oct. 9, 2026, 12:00 a.m. EDT Due in 325 Days
Last Updated
Oct. 18, 2025, 11:00 p.m. EDT
Version
4
Archive Date
Nov. 8, 2026

Eligibility

Eligible Applicants
Others (see text field entitled "Additional Information on Eligibility" for clarification)
Additional Info
*Who May Submit Proposals: Proposals may only be submitted by the following: -Non-profit, non-academic organizations: Independent museums, observatories, research laboratories, professional societies and similar organizations located in the U.S. that are directly associated with educational or research activities. - <span>Institutions of Higher Education (IHEs) - Two- and four-year IHEs (including community colleges) accredited in, and having a campus located in the US, acting on behalf of their faculty members.</span> *Who May Serve as PI: <div class="OutlineElement Ltr SCXW177155816 BCX0"> <p class="Paragraph SCXW177155816 BCX0"><span class="TrackChangeTextInsertion TrackedChange SCXW177155816 BCX0"><span class="TextRun SCXW177155816 BCX0" lang="EN-US" xml:lang="EN-US" data-contrast="none"><span class="NormalTextRun SCXW177155816 BCX0">As of the date the proposal is </span><span class="NormalTextRun SCXW177155816 BCX0">submitted</span><span class="NormalTextRun SCXW177155816 BCX0">, any PI, co-PI, or senior/key personnel must hold either:</span></span></span><span class="EOP TrackedChange SCXW177155816 BCX0" data-ccp-props="{"></span> <ul> <li><span class="TrackChangeTextInsertion TrackedChange SCXW177155816 BCX0"><span class="TextRun SCXW177155816 BCX0" lang="EN-US" xml:lang="EN-US" data-contrast="none">a tenured or tenure-track position, </span></span><span class="TrackChangeTextInsertion TrackedChange SCXW177155816 BCX0"><span class="TextRun SCXW177155816 BCX0" lang="EN-US" xml:lang="EN-US" data-contrast="none">or</span></span><span class="EOP TrackedChange SCXW177155816 BCX0" data-ccp-props="{"></span></li> <li><span class="TrackChangeTextInsertion TrackedChange SCXW177155816 BCX0"><span class="TextRun SCXW177155816 BCX0" lang="EN-US" xml:lang="EN-US" data-contrast="none">a primary, full-time, paid appointment in a research or teaching position</span></span></li> </ul> <span class="TrackChangeTextInsertion TrackedChange SCXW177155816 BCX0"><span class="TextRun SCXW177155816 BCX0" lang="EN-US" xml:lang="EN-US" data-contrast="none"><span class="NormalTextRun SCXW177155816 BCX0">at a US-based campus of an organization eligible to </span><span class="NormalTextRun SCXW177155816 BCX0">submit</span><span class="NormalTextRun SCXW177155816 BCX0"> to this solicitation (see above), with exceptions granted for family or medical leave, as </span><span class="NormalTextRun SCXW177155816 BCX0">determined</span><span class="NormalTextRun SCXW177155816 BCX0"> by the </span><span class="NormalTextRun SCXW177155816 BCX0">submitting</span><span class="NormalTextRun SCXW177155816 BCX0"> organization. Individuals with </span></span></span><span class="TrackChangeTextInsertion TrackedChange SCXW177155816 BCX0"><span class="TextRun SCXW177155816 BCX0" lang="EN-US" xml:lang="EN-US" data-contrast="none">primary</span></span><span class="TrackChangeTextInsertion TrackedChange SCXW177155816 BCX0"><span class="TextRun SCXW177155816 BCX0" lang="EN-US" xml:lang="EN-US" data-contrast="none"> appointments at for-profit non-academic organizations or at overseas branch campuses of U.S. institutions of higher education are not eligible.</span></span><span class="EOP TrackedChange SCXW177155816 BCX0" data-ccp-props="{"></span></div>

Award Sizing

Ceiling
$1,500,000
Floor
$500,000
Estimated Program Funding
$8,500,000
Estimated Number of Grants
Not Listed

Contacts

Contact
U.S. National Science Foundation
Contact Email
grantsgovsupport@nsf.gov
Email Description
If you have any problems linking to this funding announcement, please contact the email address above.
Contact Phone
(703) 292-4203
Additional Information
NSF Publication 24-569
Additional Information Site
http://www.nsf.gov/publications/pub_summ.jsp?ods_key=nsf24569

Documents

Posted documents for 24-569

Grant Awards

Grants awarded through 24-569

Incumbent or Similar Grants

Grants similar to 24-569

Similar Active Opportunities

Open grant opportunities similar to 24-569

Experts for Mathematical Foundations of Artificial Intelligence

Recommended subject matter experts available for hire