Fostering connection between data science, social science and population health.
The Center for Computational & Social Sciences in Health (COMPASS) aims to foster connection between data science, social science and population health. These connections will increase the capacity for cutting-edge research that uses social and behavioral science and computational methodology to understand and enable the health of populations.
Center Priorities
Transdisciplinary Collaboration
We are focused on uniting faculty and trainees across social science, data science and population health.
Training for Population Health Scholars
We aim to become an international training hub for the next generation of diverse population health scholars.
Research on the Social & Structural Drivers of Health
We are conducting cutting-edge research to understand how systems interact to produce population health inequities.
News & Announcements
Social network influence in public health and how to map it
Network Canvas, a new free, open-source software, maps and analyzes people’s social networks in public health studies, allowing researchers to design protocols, collect visual data. Network Canvas is used to explore how interpersonal connections help drive health outcomes and to design interventions that use the social network structure to promote healthier behaviors.
SILOS Project Uses Simulation Models to Understand Structural Drivers of HIV and Substance Use
The National Institutes of Health recently funded the five-year, $3.8 million SILOS project, which will conduct innovative observational research in five cities across the United States to better understand the social contexts that drive HIV and substance use. Read the news story.
