NSF award 2441861 · University of Nebraska-Lincoln

CAREER: Advancing Experimental Frameworks and Empirically-Based Guidelines for Designing and Assessing Statistical Data Graphics

Final report due

28 January 2031

in 1,563 days · The award ends on 30 September 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 Jun 2030in 1323 days
award ending 2030-09-30 · Research.gov
This one is ours, not NSF’s.
Extension request16 Aug 2030in 1398 days
award ending 2030-09-30 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice20 Sep 2030in 1433 days
award ending 2030-09-30 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due28 Jan 2031in 1563 days
award ending 2030-09-30 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due28 Jan 2031in 1563 days
award ending 2030-09-30 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out28 Jan 2031in 1563 days
award ending 2030-09-30 · 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 30 September 2030.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 28 January 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: 2441861
Period of support: 1 Oct 2025 – 30 Sep 2030
Amount: $550,000
Awardee: University of Nebraska-Lincoln, Lincoln, NE
Program: HCC-Human-Centered Computing
Directorate: CSE

Abstract

Charts, graphs, and other visual representations of statistical data are often used to help people communicate and make decisions. However, when creating these graphics, many designers use rules of thumb, guidelines, and individual opinions that are often not well-grounded in experimental evidence. Further, studies that do assess the design of graphics tend to focus on a relatively narrow set of uses and quality…

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.