NSF award 2529209 · Washington University

Collaborative Research: The State of the State: Archival, Unstructured Data and Machine Learning

Final report due

29 December 2027

in 437 days · The award ends on 31 August 2027.

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Decide about an extension3 May 2027in 197 days
award ending 2027-08-31 · Research.gov
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Extension request17 Jul 2027in 272 days
award ending 2027-08-31 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice21 Aug 2027in 307 days
award ending 2027-08-31 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due29 Dec 2027in 437 days
award ending 2027-08-31 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due29 Dec 2027in 437 days
award ending 2027-08-31 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out29 Dec 2027in 437 days
award ending 2027-08-31 · 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 August 2027.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 29 December 2027.

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Award card

Award number: 2529209
Period of support: 1 Sep 2025 – 31 Aug 2027
Amount: $225,431
Awardee: Washington University, Saint Louis, MO
Program: AIB-Acctble Institutions&Behav
Directorate: SBE

Abstract

This project uses machine learning to create a database of State of the State (SOTS) addresses from 1800 to 2016 and state-level agendas. The data collection involves collecting and cleaning the full set of speeches from governors over time. SOTS data are stored at publicly available data repositories and a website developed by the PIs. Methodologically, the project advances the study of unstructured data and the…

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