NSF award 2442397 · Carnegie Mellon University

CAREER: Theory and methods to understand and predict how heterogeneous population structure shapes evolutionary dynamics

Final report due

29 December 2030

in 1,533 days · The award ends on 31 August 2030.

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Extension request17 Jul 2030in 1368 days
award ending 2030-08-31 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice21 Aug 2030in 1403 days
award ending 2030-08-31 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due29 Dec 2030in 1533 days
award ending 2030-08-31 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due29 Dec 2030in 1533 days
award ending 2030-08-31 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out29 Dec 2030in 1533 days
award ending 2030-08-31 · 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 December 2030.

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Award card

Award number: 2442397
Period of support: 1 Sep 2025 – 31 Aug 2030
Amount: $865,988
Awardee: Carnegie Mellon University, Pittsburgh, PA
Program: Innovation: Bioinformatics
Directorate: BIO

Abstract

Living systems, from cancer cells to microbial colonies and human populations, are inherently spatial, meaning that individuals interact within complex networks of relationships. However, current theory attempting to understand and predict the future evolution of these systems largely overlooks this spatial complexity. This project will build new, more realistic frameworks to understand how the intricate "shape" of…

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