CAREER: Machine Learning with Behavioral and Social Data — NSF Award to Yale University (CT, $339,513)
Algorithms increasingly influence the decisions people make in their everyday lives, from what clothing to buy to what movie to watch to what healthcare plan to adopt. There is a pressing need to understand how algorithms interact with human behavior in these settings. This project will develop theoretical foundations
| Award title | CAREER: Machine Learning with Behavioral and Social Data |
|---|---|
| Award ID | 2548565 |
| Awardee | Yale University |
| City | NEW HAVEN |
| State | CT |
| Amount obligated | $339,513 |
| Principal investigator | Johan Ugander |
| Program | Info Integration & Informatics |
| Start date | 10/01/2025 |
| Abstract | Algorithms increasingly influence the decisions people make in their everyday lives, from what clothing to buy to what movie to watch to what healthcare plan to adopt. There is a pressing need to understand how algorithms interact with human behavior in these settings. This project will develop theoretical foundations and applications for new machine learning algorithms that learn and predict human decisions descriptively from data, as they are, rather than as behavioral theories prescribe them |
| Source | NSF Awards |
$799/mo
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