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Decision Support Tools
Citation:
Vallero, Dan AND E. Hubal. Decision Support Tools. 2021 ISES Annual Meeting (Virtual), Durham, North Carolina, August 30 - September 02, 2021. https://doi.org/10.23645/epacomptox.15157374
Impact/Purpose:
Limited data are available to assess potential chemical risks to humans from manufacture, use, and disposal of consumer products and articles. Tools are needed to access and leverage available data on chemical manufacture, use, and occurrence for important chemical exposure scenarios and pathways across the product lifecycle. Scientific workflows are designed to execute a series of computational or data manipulation steps. The simplest automated scientific workflows are scripts that call in data, models, and other inputs and produce outputs that may include analytical results and visualizations. The value of using this approach is that domain-specific data types and tools can be made available to the exposure scientist and easily accessible to the exposure assessor for specific decision contexts. This product provides regulatory scientists, students and researchers with the ability to effectively access and exploit the many in silico data streams to support different regulatory purposes and supports current Agency efforts to reduce mammal study requests by 30% by 2025, and completely eliminate all mammal study requests and funding by 2035.
Description:
Several decision tools are being developed, enhanced, and adapted to address multi-route and multi-pathway, aggregate exposures. In particular, this presentation will describe EPA’s potential application of these tools to chemicals of concerns, highlighting recent advances the modules that comprise in the Consolidated Human Exposure Model (CHEM), SHEDS-High Throughput, ExPriori, Lorber-Egeghy update, and other EPA decision support tools. The presentation will also give updates on progress toward a consensus template for a scientific workflow for exposure to apply secondary data as inputs to the models.
URLs/Downloads:
DOI: Decision Support Tools
ORD-041996_ISES SLIDES_DAV.PDF (PDF, NA pp, 415.038 KB, about PDF)