NSF award 2616633 · University of Wisconsin-Madison

Collaborative Research: III: Towards Reliable, Efficient, and Adaptive Multi-Agent Collaboration: A Graph-Centric Design

Final report due

28 November 2029

in 1,137 days · The award ends on 31 July 2029.

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 Apr 2029in 897 days
award ending 2029-07-31 · Research.gov
This one is ours, not NSF’s.
Extension request16 Jun 2029in 972 days
award ending 2029-07-31 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice21 Jul 2029in 1007 days
award ending 2029-07-31 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due28 Nov 2029in 1137 days
award ending 2029-07-31 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due28 Nov 2029in 1137 days
award ending 2029-07-31 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out28 Nov 2029in 1137 days
award ending 2029-07-31 · Research.gov
PAPPG 24-1: “financially closed out 120 days after their expiration date”

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

NSF lists this award's end date as 31 July 2029.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 28 November 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: 2616633
Period of support: 1 Aug 2026 – 31 Jul 2029
Amount: $249,999
Awardee: University of Wisconsin-Madison, Madison, WI
Program: Info Integration & Informatics
Directorate: CSE

Abstract

Large language models are increasingly being used to build multi-agent artificial intelligence (AI) systems, in which multiple AI agents communicate and collaborate to solve complex problems. These systems have the potential to support applications such as scientific discovery, software engineering, decision support, education, and AI-assisted analysis. However, current multi-agent systems often rely on static and…

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.