Incorporating Human Behavior in Epidemiological Models
This grant supports research integrating human behavior into epidemiological models, requiring collaboration between mathematical and social/behavioral sciences.
This grant is no longer accepting proposals
U.S. National Science Foundation has archived this opportunity.
Funder: U.S. National Science Foundation
Due Dates: July 14, 2025 (Full Proposal)
Funding Amounts: Up to $1,000,000 total per award for 3–4 years; 10–15 awards expected; $4M–$6M total program funding per year.
Summary: Supports interdisciplinary research integrating human behavior and social processes into mathematical epidemiological models, requiring collaboration between mathematical and social/behavioral sciences.
Key Information: Each PI/co-PI may participate on only one proposal; U.S. higher education institutions only; no clinical trials.
Description
This program supports interdisciplinary research that incorporates social, behavioral, and economic processes into mathematical epidemiological models. The goal is to improve the utility and realism of models used to inform public health policy and interventions, especially in the context of pandemics and other public health crises. Projects must involve integrated participation from both the mathematical sciences and the social, behavioral, or economic sciences, and may also include biological sciences.
Research topics may include, but are not limited to:
- Incorporating behavioral realism and sensitivity analysis into models
- Modeling behavioral change over time
- Integrating multiple environments (climate, political, social) into epidemiological models
- Addressing population heterogeneity and policy modeling
- Identifying and addressing data needs for complex models
Proposals are encouraged to address significant research challenges and to include training and mentoring of students and postdoctoral researchers at the intersection of relevant disciplines.
