Skip to the ledger

GrantClerk

NSF award 2523716 · Florida Agricultural and Mechanical University

Collaborative Research: CISE Crosscutting Small: SCH: Using Explainable AI and Quantum-inspired Computing to Uncover Genetic Insights

Final report due

28 January 2029

in 833 days · The award ends on 30 September 2028.

GrantClerk is a private service. We are not NSF or any government agency.

Dates this award owes

NSF emails you about this too.

  • Decide about an extension2 Jun 2028in 593 days

    award ending 2028-09-30 · Research.gov

  • Extension request16 Aug 2028in 668 days

    award ending 2028-09-30 · Research.gov

  • No-cost extension notice20 Sep 2028in 703 days

    award ending 2028-09-30 · Research.gov

  • Final report due28 Jan 2029in 833 days

    award ending 2028-09-30 · Research.gov

  • Project outcomes report due28 Jan 2029in 833 days

    award ending 2028-09-30 · Research.gov

  • Award is closed out28 Jan 2029in 833 days

    award ending 2028-09-30 · Research.gov

Annual report dates come from the budget period on your award notice. That date is not public, so it is not shown here.

How we got this date

  1. NSF lists this award's end date as 30 September 2028.
  2. NSF rules say the final report is due no later than 120 days after that.
  3. So the final report is due by 28 January 2029.

Read the rule on Research.gov

Get a note before each report date

Add this award to your desk. We email you before each date and keep the dates in one place.

Renews each year until you cancel. Cancel any time from your account.

Already a member? Sign in

Award card

Award number
2523716
Period of support
1 Oct 2025 – 30 Sep 2028
Amount
$309,736
Awardee
Florida Agricultural and Mechanical University, Tallahassee, FL
Program
Smart and Connected Health
Directorate
CSE

Abstract

The project comprises a strategic collaboration between Florida A&M University (FAMU) and Florida State University (FSU) involving both research and education, aiming to develop capacity in genome research via quantum machine learning (QML) at both universities. Researchers at both universities plan to address current challenges by developing scalable, interpretable, Artificial Intelligence (AI)-based computational…

Is this right?

We copy this from the public NSF award record. Your award notice and NSF always win. If a date looks wrong, check Research.gov.