Collaborative Research: Causal Structures: Experiments and Machine Learning — NSF Award to New York University (NY, $91,100)
To make decisions, people must rely on their understanding of the relevant environment: what are the causes and outcomes of the various forces at play. In other words, in many settings, including economic ones, people rely on subjective causal models (or narratives) to understand the world. Such models help agents orga
| Award title | Collaborative Research: Causal Structures: Experiments and Machine Learning |
|---|---|
| Award ID | 2437062 |
| Awardee | New York University |
| City | NEW YORK |
| State | NY |
| Amount obligated | $91,100 |
| Principal investigator | Sevgi Yuksel |
| Program | Economics |
| Start date | 07/01/2024 |
| Abstract | To make decisions, people must rely on their understanding of the relevant environment: what are the causes and outcomes of the various forces at play. In other words, in many settings, including economic ones, people rely on subjective causal models (or narratives) to understand the world. Such models help agents organize and interpret information, allowing them to make forecasts about the future, and providing them with a way to evaluate counterfactuals. The main goal of this research is to ta |
| Source | NSF Awards |
$799/mo
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