Populomics, Spatial, and Systems Science
The science of the integration of knowledge from the laboratory, sociobehavioral, socioecological, environmental health, and population sciences in order to gain comprehensive understanding of health and disease is known as populomics.
Recent advances in computing and information sciences are enabling large-scale population studies using multilevel, spatial, and simulation modeling methods. The ability to efficiently analyze problems using huge amounts of data has stimulated interest in both populomics and spatial analytic sciences.
We are leveraging our extensive knowledge and experience in health research, environmental science, data management, and statistical analysis and applying our expertise to populomics research, spatial analysis, and systems science. Our decades-long heritage in multidisciplinary scientific study uniquely qualifies RTI for broad-based translational research.
Focus Areas
- Spatial science
- Critical spatial thinking
- Population health research
- Health disparities research
- Translational geospatial analysis to inform site selection, intervention, evaluation, public participation, community-based participatory research
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Determinants of health care outcomes
- Access to health services
- Health systems, insurance, diffusion of technology, antitrust
- Geospatial impact factors
- Peer effects and other spillovers
- Sociobehavioral and socioecological pathways to behavior and outcomes
- Environmental and biomolecular interactions
- Barriers and facilitators
- Socioecological modeling of human-ecosystem interactions
Capabilities
- Spatial analytic science: spatial statistics, spatial cluster analysis, spatial regression, spatial econometrics
- Space-time modeling with seemingly unrelated regression
- Multilevel modeling
- Ecological and small area analysis (not small area estimation)
- Mapping, bivariate mapping, public participation GIS, knowledge generation and translation
- Measures and database development
- Web services
- Cluster computing
- Spatial translational science
