This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program grant, with the Catalog of Federal Domestic Assistance (CFDA) number 47.070, awarded $169,637 to the President & Trustees of Williams College to develop and evaluate methods that combine natural language processing (NLP) models with heterogeneous causal effect estimation. The project aims to enable the incorporation of unstructured text data, such as electronic health records, news articles, and online platform exchanges, into causal inference models. This will allow for more fine-grained causal effect estimates that can help target interventions for those with estimated positive impacts. The project will run from June 2025 to May 2027, and no sub-awards are planned.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $169.6k | 6/9/25 |