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Data and Models from the ExpoCast Project for Informing Chemical Assessment
Citation:
Isaacs, K. Data and Models from the ExpoCast Project for Informing Chemical Assessment. The American Society for Cellular and Computational Toxicology (ASCCT) annual meeting Special Training Session NURA, RTP, NC, October 23, 2020. https://doi.org/10.23645/epacomptox.13103588
Impact/Purpose:
Presentation given to the The American Society for Cellular and Computational Toxicology (ASCCT) annual meeting entitled Hands-on Training: Practical Applications of New Approach Methodologies (NAMs) in Chemical Safety Assessment: Applying US EPA Tools and Approaches in Practice October 23, 2020
Description:
Exposure is a key component of chemical risk assessments, as highlighted by the recent amendment to the Toxic Substances Control Act mandating the US Environmental Protection Agency to consider conditions of chemical use, as well as human and ecological exposures across the chemical life cycle. The EPA Office of Research and Development has many ongoing exposure modeling efforts that may be informative for TSCA and other chemical safety decisions. This talk will cover such publicly available data and tools that have been developed under ORD’s Exposure Forecasting (ExpoCast) Project. Chemical use and consumer product information, as well as data and predictive models for chemical functional use will be described, as will a publicly available model and R package for estimating consumer exposures for many product categories. In the addition, the talk will describe the scientific methods behind the development of new consensus exposure predictions that can be used when minimal exposure data are available. In addition to presenting the scientific basis for these resources, the talk will also cover how these data and model results can be accessed in EPA’s CompTox Chemicals Dashboard. This abstract does not reflect EPA policy.
URLs/Downloads:
DOI: Data and Models from the ExpoCast Project for Informing Chemical Assessment
ISAACS_EXPOCAST_ASCCT_NURA_SLIDES_10192020.PDF (PDF, NA pp, 5743.665 KB, about PDF)