NSF award 2638535 · University of California-Davis

CAREER: Disengaging attention from distractions

Final report due

30 April 2031

in 1,655 days · The award ends on 31 December 2030.

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 Sep 2030in 1415 days
award ending 2030-12-31 · Research.gov
This one is ours, not NSF’s.
Extension request16 Nov 2030in 1490 days
award ending 2030-12-31 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice21 Dec 2030in 1525 days
award ending 2030-12-31 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due30 Apr 2031in 1655 days
award ending 2030-12-31 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due30 Apr 2031in 1655 days
award ending 2030-12-31 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out30 Apr 2031in 1655 days
award ending 2030-12-31 · 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 December 2030.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 30 April 2031.

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: 2638535
Period of support: 1 Jul 2026 – 31 Dec 2030
Amount: $659,257
Awardee: University of California-Davis, Davis, CA
Program: Perception, Action & Cognition
Directorate: SBE

Abstract

Human attention is limited and when distractions occur, they frequently result in accidents and other adverse events. Recent advances in Human-AI teaming aim to overcome limitations of human attention by combining the strengths of humans and AI to synergistically work together to accomplish shared objectives. For human-AI teaming to be truly successful in everyday life, more knowledge is needed about how humans…

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.