Overview

Health Analytics Network is a closely knit group of researchers with interdisciplinary expertise. HAN works with different organizations and academic institutions to conduct research, training, and networking. Our focus areas include: Health and Environment, Policy and Systems, Data Fusion and Disaggregation, Predictive Modeling and Analysis. HAN supports consortia projects, workshops and outreach activities, and training events for widespread dissemination. At HAN, our vision is to use the power of data for addressing health and environmental problems based on inter-disciplinary observations and rigorous studies of different sources of vulnerability, heterogeneity and uncertainty. To achieve our mission, at HAN, we apply some key approaches that include, but are not limited to, the following: fusion of data from different sources, which we synthesize together to produce models for broader understanding of complex phenomena gain insights into population dynamics of interest by statistical analysis of the heterogeneity among the underlying subpopulations generative models to reconstruct stochastic interactions among individuals and groups to predict rare events or emergent behavioral patterns modeling of socioeconomic and environmental factors at local "small area" levels to identify and characterize community-specific disparities risk communication and systems level preparedness for disasters and extreme events towards resiliency and equity of vulnerable populations.