Causal Inference in the Presence of Interference for Randomized Experiments — NSF Award to Carnegie Mellon University (PA, $155,14
Statistical experiments can improve our understanding of complex systems, including the communities, organizations, and local economies that make up our society. In these systems, individuals may be connected by mechanisms such as social influence, economic competition, sharing of information, or the transmission of di
| Award title | Causal Inference in the Presence of Interference for Randomized Experiments |
|---|---|
| Award ID | 2515792 |
| Awardee | Carnegie Mellon University |
| City | PITTSBURGH |
| State | PA |
| Amount obligated | $155,146 |
| Principal investigator | David Choi |
| Program | STATISTICS |
| Start date | 09/01/2025 |
| Abstract | Statistical experiments can improve our understanding of complex systems, including the communities, organizations, and local economies that make up our society. In these systems, individuals may be connected by mechanisms such as social influence, economic competition, sharing of information, or the transmission of disease. The presence of such mechanisms is known as interference. Interference greatly complicates statistical analysis. It weakens the conclusions that may be drawn from an experim |
| Source | NSF Awards |
$799/mo
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