Assessing the environmental exposures of an individual is critical for understanding the environmental contributions to individual health and disease outcomes. Nevertheless, accurate and cost-effective exposure assessment in large population health studies remains a major challenge. Recent advances in remote sensing and geospatial technologies provide significant opportunities for access to high spatiotemporal resolution exposure data and improved exposure estimates at personal level. This workshop will bring together experts in exposure science, geospatial technologies, data science, and population health to explore opportunities in linking multiscale geospatial environmental data (across time, space, and exposure types) to human health.
Catch up on the content from this workshop here.