NSF award 2541781 · Worcester Polytechnic Institute

CAREER: Context-Aware Resource Efficient Natural-Language Queries over Longitudinal Wearable Sensor Data

Final report due

28 January 2032

in 1,927 days · The award ends on 30 September 2031.

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 2031in 1687 days
award ending 2031-09-30 · Research.gov
This one is ours, not NSF’s.
Extension request16 Aug 2031in 1762 days
award ending 2031-09-30 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice20 Sep 2031in 1797 days
award ending 2031-09-30 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due28 Jan 2032in 1927 days
award ending 2031-09-30 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due28 Jan 2032in 1927 days
award ending 2031-09-30 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out28 Jan 2032in 1927 days
award ending 2031-09-30 · 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 2031.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 28 January 2032.

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: 2541781
Period of support: 1 Oct 2026 – 30 Sep 2031
Amount: $635,517
Awardee: Worcester Polytechnic Institute, Worcester, MA
Program: CSR-Computer Systems Research
Directorate: CSE

Abstract

Wearable devices such as fitness trackers and smartwatches collect large amounts of information about movement, sound, and the body, but the tools that come with them usually show only simple charts that do not answer the questions people actually have. This project builds a system that lets anyone ask everyday questions in plain language, such as how well a baby slept last week or whether a night-shift worker…

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.