NSF award 2610298 · University of South Carolina at Columbia

Collaborative Research: Generative Bootstrapping Methods for Massive Dependent Data

Final report due

29 December 2029

in 1,168 days · The award ends on 31 August 2029.

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No-cost extension notice21 Aug 2029in 1038 days
award ending 2029-08-31 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due29 Dec 2029in 1168 days
award ending 2029-08-31 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due29 Dec 2029in 1168 days
award ending 2029-08-31 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out29 Dec 2029in 1168 days
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PAPPG 24-1: “financially closed out 120 days after their expiration date”

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NSF lists this award's end date as 31 August 2029.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 29 December 2029.

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Award card

Award number: 2610298
Period of support: 1 Sep 2026 – 31 Aug 2029
Amount: $159,813
Awardee: University of South Carolina at Columbia, Columbia, SC
Program: STATISTICS
Directorate: MPS

Abstract

This project advances the statistical foundations for reliable inference from massive dependent data (e.g., spatial and spatiotemporal data). Such data naturally arise in many applications, including transportation systems, healthcare, manufacturing, remote sensing, and digital twins. Standard tools for constructing large-sample confidence intervals or prediction intervals are often computationally expensive,…

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