NSF award 2604229 · Northwestern University at Chicago

Co-Designing Human-AI Collaborative Tools for Learning to Model Complex Systems

Final report due

29 December 2029

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

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award ending 2029-08-31 · Research.gov
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PAPPG 24-1: “at least 45 days prior to the end date”
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
award ending 2029-08-31 · 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 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: 2604229
Period of support: 1 Sep 2026 – 31 Aug 2029
Amount: $899,999
Awardee: Northwestern University at Chicago, Evanston, IL
Program: Discovery Research K-12
Directorate: EDU

Abstract

Many important real-world phenomena arise from complex interactions among local-level elements (e.g., traffic congestion from driver behaviors, or stock market bubbles from investor behaviors). Agent-based modeling (ABM) has been shown to be able to help students explore how local-level interactions produce larger patterns through simple computational rules. Interacting with pre-built models is beneficial, but…

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