CAREER: Theory and methods to understand and predict how heterogeneous population structur — NSF Award to Carnegie Mellon Universi
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.
| Award title | CAREER: Theory and methods to understand and predict how heterogeneous population structur |
|---|---|
| Award ID | 2442397 |
| Awardee | Carnegie Mellon University |
| City | PITTSBURGH |
| State | PA |
| Amount obligated | $323,642 |
| Principal investigator | Oana Carja |
| Program | Innovation: Bioinformatics |
| Start date | 09/01/2025 |
| 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 biological populations, such as their patterns of interaction and reproduction, i |
| Source | NSF Awards |
$799/mo
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