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Developing a Conceptual Scientific Workflow to Estimate Chemical Exposures (ISES 2023)
Citation:
Vallero, Dan AND E. Hubal. Developing a Conceptual Scientific Workflow to Estimate Chemical Exposures (ISES 2023). ISES, Chicago, IL, August 27 - 31, 2023. https://doi.org/10.23645/epacomptox.23902131
Impact/Purpose:
N/A
Description:
Exposure scientists have developed models that use available data with other mechanistic information to understand how chemicals in products move through the natural and built environment. Each new problem incrementally advances data, models, and understanding. To efficiently address problems of increasing complexity and enable greater insights, more nimble modeling methodologies are required to assess important chemical exposure scenarios and pathways across the chemical/product lifecycle. A scientific workflow is a modeling methodology that is designed to explicitly describe and execute a series of data manipulation and computational steps to provide outputs tailored to decision-making contexts. For chemical assessments, scientific workflows are useful tools for efficient and transparent analyses, especially for considering impacts in complex systems. We began this effort with a test case using a data-rich chemical, 1,4-dioxane with the aim of building a conceptual workflow that could be successfully developed for both data-rich and data-poor compounds. To this end, the lessons learned from the 1,4-dioxane workflow was then tested against flame retardants and other data poor chemicals in consumer products. Ways to advance the workflows for efficient evaluation of a variety of chemicals and a range of decision contexts will be discussed. This document has been reviewed in accordance with U.S. Environmental Protection Agency policy and approved for publication.
URLs/Downloads:
DOI: Developing a Conceptual Scientific Workflow to Estimate Chemical Exposures (ISES 2023)
FINAL PRESENTATION.PDF (PDF, NA pp, 1582.165 KB, about PDF)