Robust Experimental Designs for Measuring Spillover Effects in Large Networked Populations — NSF Award to University of Chicago (I
This research project will investigate the role of networks in influencing the outcomes of interventions across various domains, such as education, marketing, and tax decisions. Traditional analytic approaches have depended heavily on statistical modeling assumptions. These models have limitations due to the complexity
| Award title | Robust Experimental Designs for Measuring Spillover Effects in Large Networked Populations |
|---|---|
| Award ID | 2419009 |
| Awardee | University of Chicago |
| City | CHICAGO |
| State | IL |
| Amount obligated | $350,000 |
| Principal investigator | Panagiotis Toulis |
| Program | Human Networks & Data Sci Res, Methodology, Measuremt & Stats |
| Start date | 08/15/2024 |
| Abstract | This research project will investigate the role of networks in influencing the outcomes of interventions across various domains, such as education, marketing, and tax decisions. Traditional analytic approaches have depended heavily on statistical modeling assumptions. These models have limitations due to the complexity of relationships among individuals. This project will focus on randomized experiments that incorporate network considerations into the experimental design. New methodologies will |
| Source | NSF Awards |
$799/mo
Try NSFGrants →