Integrating large quantities of data from multiple, disparate sources can create new opportunities to understand complex environmental health questions. However, combining new types and larger quantities of data to inform a specific decision presents many new challenges. For example, investigators must develop methods to reliably integrate data from designed experiments with data re-purposed from other uses, such as electronic health records, geo-spatial data sets, and crowd-based sources.
This workshop will bring together scientists, policymakers, risk assessors and regulators to explore the promise and potential pitfalls of environmental health data integration. Workshop speakers will present a general framework for data visualization and participants will work together to conceptualize future research directions that could help incorporate these analyses into environmental health decision-making.