NSF award 2627378 · University of California-Santa Barbara

Data integration for heterogeneous data: A general framework for distribution shift, posterior drift and block missing data

Final report due

28 November 2028

in 771 days · The award ends on 31 July 2028.

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No-cost extension notice21 Jul 2028in 641 days
award ending 2028-07-31 · Research.gov
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Final report due28 Nov 2028in 771 days
award ending 2028-07-31 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due28 Nov 2028in 771 days
award ending 2028-07-31 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out28 Nov 2028in 771 days
award ending 2028-07-31 · Research.gov
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 July 2028.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 28 November 2028.

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Award card

Award number: 2627378
Period of support: 15 Jun 2026 – 31 Jul 2028
Amount: $174,999
Awardee: University of California-Santa Barbara, Santa Barbara, CA
Program: STATISTICS
Directorate: MPS

Abstract

In the era of big data, researchers and analysts have unprecedented access to extensive datasets, opening up new opportunities for scientific discovery and predictive modeling. These datasets, often collected from different sources, contain various forms of heterogeneity, such as distribution heterogeneity, observation heterogeneity, and task heterogeneity. Effectively addressing these complexities is critical for…

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