February 20-21, 2018
National Academies of Sciences, Engineering, and Medicine
Keck Center, Room 100
500 Fifth Street NW
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.
- Final Agenda
- Participant Bios
- Background Reading List
- Related National Academies Work
- Documents for Data Vis. Activity
- Presentation Slides
- Workshop Videos (To view the full playlist on YouTube, click here.)
Workshop organizing committee: Kim Boekelheide, Brown University; Chris Gennings, Mount Sinai School of Medicine; Margaret Karagas, Dartmouth College; Patrick McMullen, ScitoVation; Donna Mendrick, U.S. Food and Drug Administration; David Reif, North Carolina State University; Gina Solomon, University of California, San Francisco; Lance Waller, Emory University
Staff Leads: Ben Wender, Board on Mathematical Sciences and Analysis; Elizabeth Boyle, Board on Environmental Studies and Toxicology
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