Decision Science Core

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Decision Science Core ABSTRACT The Texas A&M University Superfund Research Center will investigate the impacts of environmental emergency-related contamination events across the source-to-outcome continuum, including fate and transport, human health hazard, and mitigation of contamination and toxicity. In order to achieve the Center's ultimate goal of improving decision-making after an environmental emergency, the conclusions drawn from these projects will need to be interpretable to first responders, impacted communities, and government bodies involved in site management and cleanup. Therefore, the entire Center will be supported by a Decision Science Core, which has expertise in synthesizing relevant scientific data and conclusions for use by those involved in decisions related to risk management. The overall objective of the Decision Science Core is to provide novel modeling services for supporting the cohesion, relevance, and implementation of project findings in the context of environmental decision-making. Directed by Dr. Weihsueh Chiu at Texas A&M University and in collaboration with Dr. Gregory Characklis at the University of North Carolina at Chapel Hill, the Core will provide numerous methods and services to the Center researchers under three specific aims will facilitate interaction among Center projects, while also serving as a bridge to the Community Engagement Core and Research Translation Core. Key services provided will include toxicokinetic modeling (Aim 1), human health risk modeling (Aim 2), and economic modeling (Aim 3). In Aim 1, toxicokinetic modeling services will be provided to the projects to extrapolate between exposure doses and internal concentrations in cells or tissues, taking into account chemical absorption, distribution, metabolism, and excretion. Toxicokinetic modeling is an essential part of moving towards a new paradigm in evaluating hazard and risk using in vitro assays. In Aim 2, human health risk modeling will be used to make inferences about hazard or risk in the human population based on experimental or observational data, serving as an essential bridge between scientific data and environmental policy decisions. In the context of Superfund, human health risk modeling is used to demonstrate that exposure standards or environmental remediation decisions both protect human health and reduce toxicity or risk. In Aim 3, economic modeling of costs and benefits will be provided as a key input into environmental policy decisions, from planning and priority setting to establishing environmental remediation or exposure standards. The delivery of cost-effective environmental solutions is of keen interest not only to government agencies, but also to affected communities and stakeholders, many of whom will bear at least some of the cost, either directly or indirectly. As a whole, these modeling services will support the Center's overall goal by helping to interpret and translate research project findings into information that can be used by varied stakeholders, from communities to federal and state decision-makers, to assess the human health and economic impact of contaminant exposures after an environmental emergency, and enhance the planning, emergency response, as well as long-term recovery and remediation efforts related to environmental disasters.