Project Grant 2327709

Award Date 10/1/23
Completion Date 9/30/26
Dollars Obligated $150K
Federal Grant Program
47.049
Assistance Type
Project Grant
Place of Performance
Stanford, CA 94305, USA
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This Project Grant award from the National Science Foundation (NSF), Division of Mathematical Sciences, supports the development of data-driven, multimodal methods for behavior-based epidemiological modeling. With a total funding of $150,000 over the period of October 1, 2023 to September 30, 2026, the project aims to address the challenges of behavior-based epidemiological modeling by establishing a unified modeling framework. Key products and services delivered under this grant include:

  1. Novel methods to derive meaningful insights from imperfect, multimodal data sources like mobile phones and search engine logs to capture complex human behaviors in real-time.
  2. Coupling agent-based models of disease dynamics with models of human behavior to bridge epidemiological models and real-world behaviors, requiring new methods for calibration and validation on real data.
  3. Development of scenario modeling tools and causal inference methods to evaluate the effects of public health decisions on behavior and epidemic outcomes, accounting for confounders and interference.

This grant is funded under the NSF's Mathematical and Physical Sciences program (CFDA 47.049), which supports research to strengthen the nation's scientific enterprise and enhance understanding of major problems confronting the country.

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