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NOBEL PRIZE 2026

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NIHNATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES

Risk and Geospatial Sciences Core

Active
Institution
Texas A&M University, TX
Principal investigator
Weihsueh A Chiu
Funding
$113K
Duration
2022–2027
Open portfolio

Moonbase score

Still being scored

Abstract

Risk and Geospatial Sciences Core (RGSC) ABSTRACT The Texas A&M University Superfund Research Center is investigating the impacts of environmental emergency-related contamination events across the source-to-outcome continuum, including exposure, human health hazard, and mitigation of contamination and toxicity. In order to achieve the Texas A&M Superfund Research Center’s ultimate goal of improving disaster response after an environmental emergency, the Center’s Projects and Cores will need to make their findings interpretable to first responders, impacted communities, and government bodies involved in site management and cleanup. Therefore, the entire Center will be supported by a Risk and Geospatial Sciences Core (RGSC), which has expertise in synthesizing, mapping, and visualizing relevant scientific data and conclusions for use by those involved in decisions related to risk management. The overall objective of the Risk and Geospatial Sciences Core is to provide the Center with data and services for characterizing human health risks and the geographic distribution from environmental mixtures created during disasters, thereby supporting the cohesion, relevance, and implementation of project findings in the context of environmental risk assessment and risk management. Our work will facilitate interaction among Center projects, while also serving as a bridge to the Disaster Research Response, Community Engagement, and Administration and Research Translation Cores. Key services provided will include human health risk assessment (Aim 1), geospatial data and analysis (Aim 2), and application to disaster research planning, sampling, and interpretation (Aim 3). In Aim 1, 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 2, geospatial data and analysis will be utilized to address the complex spatiotemporal dynamics of environmental emergency-related contamination, providing essential geographical contextualization and visualization to inform risk assessment and risk management. In Aim 3, the Core will provide both risk and geospatial expertise to support rapid mobilization and sampling, as well as timely and decision-relevant interpretation, coordinated by the Disaster Research Response Core. As a whole, these 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 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.

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NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCESP42ZES1-LAT-Sdisastergeospatialrisk managementgeospatial datahuman healthhealth risksuperfund researchsuperfund

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