Wednesday, 01/10/2018. ARCHIVED EVENT
In population health and well-being research, scientists consider how behavioral, biological, environmental and social characteristics interact with one another and with interventions designed to improve health and wellbeing and to reduce disparities across demographic groups. Simulation Modeling and Systems Science (SMSS) can help answer critical questions about what interventions work, under what conditions, and what strategies and combinations of strategies will yield innovative ways to address disparities.
This FOA solicits applications for work that:
(1) Fosters trans-disciplinary partnerships and collaborations in understanding the etiology and causal pathways of health disparities using SMSS.
(2) Uses SMSS to identify modifiable barriers and cost-effective factors to reduce and eventually eliminate health disparities.
(3) Provides evidence-based simulation or prediction of the impact of effective or ineffective health disparities interventions delivered in real-world settings.
(4) Promotes big data harmonization and novel analytic methods in SMSS to address minority health and health disparities.