NSF award 2519482 · Ohio State University, the

Collaborative Research: CyberTraining: Pilot: iVirus: Advancing AI-driven Viral Ecology through training in Cyberinfrastructure and High-Performance Computing

Final report due

28 February 2028

in 498 days · The award ends on 31 October 2027.

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 extension3 Jul 2027in 258 days
award ending 2027-10-31 · Research.gov
This one is ours, not NSF’s.
Extension request16 Sep 2027in 333 days
award ending 2027-10-31 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice21 Oct 2027in 368 days
award ending 2027-10-31 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due28 Feb 2028in 498 days
award ending 2027-10-31 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due28 Feb 2028in 498 days
award ending 2027-10-31 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out28 Feb 2028in 498 days
award ending 2027-10-31 · 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 October 2027.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 28 February 2028.

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: 2519482
Period of support: 1 Nov 2025 – 31 Oct 2027
Amount: $194,365
Awardee: Ohio State University, the, Columbus, OH
Program: CyberTraining - Training-based
Directorate: CSE

Abstract

Viruses are the most abundant biological entities on Earth, infecting all major categories of life. To study viruses, the viral genomics community has generated enormous amounts of scientific data through advanced gene sequencing and other techniques. Exploring and extracting scientific insights from data of this size is challenging and requires accessible training that can teach the research community how to use…

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.