NSF award 2550033 · Michigan Technological University

POSE: Phase I: Open Source Ecosystem for Accelerating Artificial Intelligence in Construction Engineering

Final report due

28 August 2027

in 314 days · The award ends on 30 April 2027.

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award ending 2027-04-30 · Research.gov
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Extension request16 Mar 2027in 149 days
award ending 2027-04-30 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice20 Apr 2027in 184 days
award ending 2027-04-30 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due28 Aug 2027in 314 days
award ending 2027-04-30 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due28 Aug 2027in 314 days
award ending 2027-04-30 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out28 Aug 2027in 314 days
award ending 2027-04-30 · 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 28 August 2027.

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Award card

Award number: 2550033
Period of support: 1 May 2026 – 30 Apr 2027
Amount: $300,000
Awardee: Michigan Technological University, Houghton, MI
Program: POSE
Directorate: TIP

Abstract

The Advanced Construction Image Dataset suite is one of the most well-known artificial intelligence (AI) dataset resources in the construction engineering domain. It provides construction-specific AI datasets (i.e., object detection, image captioning, and instance segmentation), annotation guidelines, and benchmark analyses to over 700 active users. This project seeks to further support and grow the dataset, broaden…

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