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November 1 Webinar: Defining the Cutting-Edge to the U.S. EPA’s Computational Exposure Science
November 1 @ 12:30 pm - 1:30 pm
Exposure science in EPA’s Office of Research and Development is being transformed from its traditional “after the fact” and “one chemical at a time” approach. Advances in computational exposure are providing foresight on exposure potential prior to the manufacture of chemicals and these advances can be applied to most of the chemicals considered for commercial use. This research is being advanced on four related fronts. First, a carefully curated web-accessible chemical resource has been created to characterize the chemicals known to be used in commerce and believed to occur in the environment. The DSSTox database lists >900,000 unique chemical substances relevant to the environmental exposure landscape and links the unambiguous identification of the chemical’s structure to measured and modeled data resources. Next, data and model development efforts span chemical, physical, and behavioral aspects of exposure and occur iteratively such that data and model development inform one another. Modeling efforts rely on monitoring and other data that are analyzed using machine learning. This generates predictions of chemical exposures and associated uncertainty for thousands of chemicals at a time. Lastly, the development and application of non-targeted analysis methods are capturing chemical occurrence in a broad chemical space and revealing contaminants of emerging concern. These integrated research efforts are tailored to support timely large-scale exposure assessment to prioritize and manage risk and provide exposure foresight to enable innovative green chemistries. This abstract does not reflect EPA policy.