NSF award 2534217 · Carnegie Mellon University

I-Corps: Translation potential of next generation machine learning pipelines for numeric and tabular data

Final report due

29 July 2027

in 284 days · The award ends on 31 March 2027.

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award ending 2027-03-31 · Research.gov
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Extension request14 Feb 2027in 119 days
award ending 2027-03-31 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice21 Mar 2027in 154 days
award ending 2027-03-31 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due29 Jul 2027in 284 days
award ending 2027-03-31 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due29 Jul 2027in 284 days
award ending 2027-03-31 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out29 Jul 2027in 284 days
award ending 2027-03-31 · Research.gov
PAPPG 24-1: “financially closed out 120 days after their expiration date”

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NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 29 July 2027.

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Award card

Award number: 2534217
Period of support: 15 Sep 2025 – 31 Mar 2027
Amount: $50,000
Awardee: Carnegie Mellon University, Pittsburgh, PA
Program: I-Corps
Directorate: TIP

Abstract

This I-Corps project is based on the development of an artificial intelligence (AI) framework for analyzing numeric and tabular data. Numeric data plays a crucial role in business operations and decision-making, whether financial data, supply chain data, consumer metrics, or patient health data. Currently, data professionals want easy-to-use tools for numeric and tabular data that have a simple workflow and…

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