This $130,291 Project Grant was awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to Cornell University on July 1, 2024. The grant supports the development of new methods for causal inference that address interference arising from network interactions and time dynamics. This research aims to enhance randomized experimentation techniques used across fields like natural and social sciences, engineering, healthcare, and technology. The project will produce a causal inference software package and integrate the research findings into education and outreach efforts targeting pre-college students, undergraduate researchers, and industry partners. The work will explore modeling assumptions, experimental designs, and estimation techniques to enable robust causal analyses in complex systems with time-varying dependencies and network interference. No subawards are planned under this 5-year grant, which is expected to be completed by June 30, 2029.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $19.8k | 5/24/24 | ||
| Not listed | $110.5k | 1/9/24 |