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.
Join scientists, policymakers, risk assessors and regulators at a free National Academies of Sciences, Engineering, and Medicine workshop on February 20-21 to explore the promise and potential pitfalls of environmental health data integration.
Held in Washington, DC and webcast live, this workshop 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. The preliminary agenda is available here.
Sponsored by NIEHS and organized by the Emerging Science for Environmental Health Decisions committee, this workshop is part of a series that bring together participants from government, industry, nongovernmental organizations, and the academic community to explore the potential for new methods and approaches to advance our understanding of environmental impacts on human health.
For more information (including the workshop agenda) and to register to attend, please visit the workshop webpage: http://nas-sites.org/emergingscience/meetings/data-integration/