The overall objective of the Risk and Geospatial Sciences Core (RGSC) 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 decision-making. Specifically, the RGSC has expertise in synthesizing, mapping, and visualizing relevant scientific data and conclusions for use by those involved in risk management. Activities include supporting experimental design, converting exposure and toxicity data into hazard and risk characterizations, development of dashboards for geospatial analytics and visualization, and contextualization through comparison with other risk-related or geocoded data. Key state-of-the-art approaches include the application of probabilistic risk analyses and integration with environmental justice concerns.
The RGSC will support the Center in synthesizing, mapping, and visualizing relevant scientific data and conclusions for use by those involved in decisions related to risk management. 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
- Work with Center project/cores to apply and advance methods for human health risk assessment of individual chemicals, defined mixtures, and environmental mixtures to enable exposure, hazard, and risk-based contextualization.
- Support project/cores with geospatial science infrastructure, geocoded data, and expertise to enable geographical contextualization.
- Disaster Research Response (DR2) – Support the Center in DR2 activities by applying risk and geospatial science expertise to disaster research planning, sampling and interpretation.