Extramural Coordinated Funding


UM Submission Instructions: U.S. National Science Foundation State and Regional Artificial Intelligence Infrastructure Hubs: Expanding Access to Compute for Scientific Discovery (AI Infrastructure Hubs) 2026

Sponsor:
National Science Foundation (NSF)
Award Title:
U.S. National Science Foundation State and Regional Artificial Intelligence Infrastructure Hubs: Expanding Access to Compute for Scientific Discovery (AI Infrastructure Hubs)
Amount:
$12M
Between $4,000,000 - $12,000,000 total budget
UM Deadline:
09/01/2026
Sponsor Deadline:
11/04/2026
Description:
The U.S. National Science Foundation State and Regional Artificial Intelligence Infrastructure Hubs program is a limited submission funding opportunity, requiring a university-wide internal selection process. The University of Minnesota may participate in only one proposal.

Synopsis of Program
The NSF State and Regional AI Infrastructure Hubs program funds the coordination, workforce development, and faculty training needed to stand up a regional AI compute hub, not the compute infrastructure itself. Each Hub is a state or regional consortium of institutions, joined by industry, philanthropy, and state or local government; the consortium must have its compute funding, or a credible funding path, from institutional, state, industry, or philanthropic sources lined up for the full five-year award. NSF intends to make only one award per state or multi-state region.

Leading a Hub is an operational and staffing commitment: the awardee institution commits to operating consortium governance, hiring and managing an AI infrastructure workforce (systems administrators, research software engineers, AI-for-science facilitators), and building faculty training and coursework, across the five-year award period.

A responsive proposal must address five elements: a governed consortium with committed institutional leadership and a plan to grow; funded infrastructure available for the full five-year award; regional partnerships with industry, philanthropy, or government tied to workforce needs; a plan to build an AI infrastructure workforce (systems administrators, research software engineers, AI-for-science facilitators); and faculty training and instructional materials that bring AI-enabled methods into courses and labs.

Potential applicants should consult the NSF 26-513 guidelines for full details.
Number of Applicants University is Allowed to submit:
1
Additional Requirements:
None
Sponsor Guidelines:
https://www.nsf.gov/funding/opportunities/us-national-science-foundation-state-regional-artificial (opens in a new window)
UM Nominations Process:

Internal Submission Requirements

Step One: Expression of Interest

RIO kindly requests that all interested PIs email collabor@umn.edu to express their intent to submit an internal application before 4pm on 9/1/2026.

In your email, please include:

  • PI’s name and contact information
  • List of 3-5 names of possible UMN reviewers (NOT References, with no Conflicts of Interest)
  • 5 keywords to be used as search terms for possible reviewers.

Providing this information in advance of the internal deadline, especially your list of potential reviewers, allows our office to begin recruiting the review committee and expedites the overall review process.

Step Two: Internal Submission

Those interested in applying should submit the following as a single pdf document to collabor@umn.edu no later than 4pm on 9/1/2026:

1. Cover Page: Include PI name, department, contact information, project title, any co-PI's name and department, and one paragraph project abstract.

2. Project Overview and High-Level Timeline: The combined project overview and timeline cannot exceed 2 pages and must summarize the project by stating its goals and outlining the proposed approaches to achieve them.

3. Biosketch(es) of PI and any co-PI's (NSF format, 2-5 pages).

4. If not already submitted in Step One (see above), a list of 3-5 names of possible UMN reviewers (NOT References, with no Conflicts of Interest) plus 5 keywords to be used as search terms for possible reviewers (can be added to Cover Page).

RIO's target date for selecting the official nominee: 10/6/2026

Peer Review Coordination:
Research and Innovation Office contact email
Status:
Open
Please note:
To be considered for peer review and internal selection, faculty must follow the above submission guidelines and meet the UM deadline as set by the office coordinating the peer review for this opportunity.

General Information


  • Each posting has information about the external sponsor and opportunity as well as the internal application instructions.
  • Opportunities can be sorted by column headings; just click on the heading to re-sort by that column.
  • When a link redirects you to another site, it opens in a new browser window.
  • If you know of an opportunity that is not on the list, please contact Kristin Mead.

Internal Requirements


  • Sponsor: Name of funder.
  • Award Title: Funding opportunity nameAmount: Range/Maximum dollar amount awarded.
  • UMN Deadline: Submission deadline for internal proposal as determined by the coordinating office.
  • Sponsor Deadline: External deadline identified by the sponsor.
  • Description: General information about the sponsor and the funding opportunity. Usually describes the purpose of the funding opportunity, overview of what the sponsor is looking for, including distinctive criteria. This is not meant to take the place of the sponsor guidelines; please read the sponsor guidelines before deciding to apply.
  • Number of Applicants University is Allowed to Submit: The maximum number of applications the sponsor will allow the university to submit.
  • Additional Requirements: Identifies any special requirements such as cost sharing, partners, etc.
  • Sponsor Guidelines: Link to the sponsor’s funding opportunity website.
  • UMN Nominations Process: Contains specific internal submission requirements including internal proposal instructions, deadline, eligibility, internal nomination process, contact information.
  • Peer Review Coordination: The name and contact email of the office coordinating the funding opportunity. RIO coordinates most limited submissions, but opportunities coordinated by other offices or programs are also posted on this webpage.
  • Status:
    • Open: UM deadline has not passed and the opportunity is open for application.
    • Forecasted: The funder has not yet formally published the opportunity. The deadline has yet to be determined.
    • Archived: The opportunity has been archived by the funder.
    • Spots Remaining: UMN deadline has passed, with some applicant spots still available. Contact collabor@umn.edu if interested
    • First-Come, First-Served: Applicants accepted on a first-come, first-served basis. Contact collabor@umn.edu if interested
    • Contact Us: The internal deadline has passed, but no applicants were selected. Please contact the office coordinating the peer review for more information.
    • In Review: Peer review process is in progress for the opportunity.
    • PI Selected: The PI(s) have been selected as the official UMN nominees.
    • Closed: UMN is no longer accepting applications.

UMN Selection Process


  • Once the internal deadline has passed, if the number of applicants is less than or equal to the number of spots the university is allowed to send forward, the applicants automatically become the UMN nominee(s).
  • If the status of an opportunity is "First-Come, First-Served", there was not time to hold an internal review. Applicants will be accepted on a first-come, first-served basis.
  • If there are no applicants, the status will change to "Contact Us". At this point, the opportunity changes to a first-come, first-served opportunity.
  • If there are multiple applicants, the office coordinating the nomination will determine the review criteria and coordinate the review process. The status will change to "In Review".
  • Once the review has been completed all parties will be notified via email.
  • Nominees will be provided with an email from RIO (or the designated coordinating office) indicating that they are the university's nominee. This letter should accompany the nominee's proposal.
  • SPA is notified of the university's nominee(s) and the status is updated to "PI(s) Selected".