Dr. von Stackelberg is serving as chair of the decision analysis subcommittee of the Board of Scientific Counselors in a project to explore methods and approaches for institutionalizing the use of decision analysis tools to support decision making within the Office of Research and Development and at EPA more broadly.
http://www.scgcorp.com/decision09/agenda.htm

Dr. von Stackelberg was a coauthor for two chapters in Decision Support Systems for Risk Based Management at Contaminated Sites, recently published by Springer.

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On behalf of the US EPA Region 2 and the US Army Corps of Engineers, New York District, Dr. von Stackelberg is leading the effort to develop a probabilistic risk tool to support dredged material management disposal decisions in New York – New Jersey Harbor. The tool allows users to estimate the human health effects associated with disposal of dredged materials at the Historic Area Remediation Site (HARS) using the results of bioaccumulation tests. The model allows decision makers to quantitatively evaluate dredged materials proposed for disposal with respect to risk and noncancer hazard and makes explicit who is being protected and with what degree of confidence. The underlying fish concentration modeling was done using FishRand-Migration, a tool originally developed to support decision making at the Hudson River.

On behalf of EPA’s Clean Air Markets Division, Dr. von Stackelberg also developed a spreadsheet tool to evaluate risk-risk and risk-social cost tradeoffs for different scenarios of technology implementation through 2030 in the electricity and mobile sectors considering mortality associated with primary and secondary particulate formation as well as carbon impacts. In a matter of seconds, the tool provides a comparison of predicted impacts resulting from placement of user-specified capacity by State (for example, 1000 MW of IGCC without carbon capture in Texas as compared to that same capacity using CFB with sub-bituminous coal in Minnesota).

Dr. von Stackelberg served as technical lead and project manager for a Small Business Innovation Research (SBIR) grant from the Army Corps of Engineers to develop a computer software tool to predict the probability of exceeding a user-specified effect level in wildlife based on exposure to contaminants in sediment. She contributed to and provided oversight for the development of a Bayesian hierarchical approach to characterize uncertainty in toxicity studies. The project involved the development of a database of toxicity values for a variety of emerging contaminants including military unique compounds (e.g., energetics, smokes and obscurants). In addition to providing senior level review of a spreadsheet-based Monte Carlo tool to predict population distributions of exposure to wildlife, Dr. von Stackelberg also wrote the documentation for the model and approach.

Dr. Williams led an effort to develop a decision analysis framework to identify and evaluate health and safety risks among businesses from rotating power outages on behalf of the California Public Utilities Commission (CPUC).  Business customers were rank ordered on a quantitative health and safety risk index score, which was calcualted by weighting three factors for two outage durations: 1) severity of health outcome, 2) likelihood of health outcome, and 3) size of population affected.  This information was used by state-level policy makers to prioritize requests for exemptions from rotating power outages in California.