Collaborative Research: III: Medium: Incentives and interventions for robust networked dat — NSF Award to Columbia University (NY,
Algorithmic and machine learning tools are increasingly central to high-stakes decision-making across domains such as healthcare, finance, and digital services. These tools depend on data that are often incomplete, unbalanced, or poorly aligned with the populations they impact. While existing methods typically treat da
| Award title | Collaborative Research: III: Medium: Incentives and interventions for robust networked dat |
|---|---|
| Award ID | 2504989 |
| Awardee | Columbia University |
| City | NEW YORK |
| State | NY |
| Amount obligated | $575,000 |
| Principal investigator | Augustin Chaintreau |
| Program | Info Integration & Informatics |
| Start date | 08/01/2025 |
| Abstract | Algorithmic and machine learning tools are increasingly central to high-stakes decision-making across domains such as healthcare, finance, and digital services. These tools depend on data that are often incomplete, unbalanced, or poorly aligned with the populations they impact. While existing methods typically treat datasets as externally fixed and data imbalances as externally-determined, this project views data as the outcome of a strategic production process that is shaped by the incentives o |
| Source | NSF Awards |
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