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Human and Ecological Risk Assessment: An International Journal Volume 21, 2015 - Issue 3
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Special Section on Oil Spill Response Risk Communication

Methods for Communicating the Complexity and Uncertainty of Oil Spill Response Actions and Tradeoffs

Ann BostromDaniel J. Evans School of Public Affairs, University of Washington, Seattle, WA, USACorrespondence[email protected]
,
Susan JoslynDepartment of Psychology, University of Washington, Seattle, WA, USA
,
Robert PaviaSchool of Marine and Environmental Affairs, University of Washington, Seattle, WA, USA
,
Ann Hayward WalkerSEA Consulting Group, Cape Charles, VA, USA
,
Kate StarbirdHuman Centered Design & Engineering, University of Washington, Seattle, WA, USA
&
Thomas M. LeschineHuman Dimensions of the Environment and the School of Marine and Environmental Affairs, University of Washington, Seattle, WA, USA
Pages 631-645 | Published online: 18 Nov 2014

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Read on this site (4)

Ragnar Lofstedt & Frederic Bouder. (2021) Evidence-based uncertainty analysis: What should we now do in Europe? A view point. Journal of Risk Research 24:5, pages 521-540.
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Julie A. Winkler. (2016) Embracing Complexity and Uncertainty. Annals of the American Association of Geographers 106:6, pages 1418-1433.
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Thomas M. Leschine, Robert Pavia, Ann Hayward Walker, Ann Bostrom & Kate Starbird. (2015) What-If Scenario Modeling to Support Oil Spill Preparedness and Response Decision-Making. Human and Ecological Risk Assessment: An International Journal 21:3, pages 646-666.
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Ann Bostrom. (2015) Introduction to Special Section of HERA on Oil Spill Response Risk Communication. Human and Ecological Risk Assessment: An International Journal 21:3, pages 575-580.
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Articles from other publishers (11)

ChangHyun Lee & KyungJin Cha. (2023) FAT-CAT—Explainability and augmentation for an AI system: A case study on AI recruitment-system adoption. International Journal of Human-Computer Studies 171, pages 102976.
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Adriana C. Bejarano, Julie E. Adams, Judith McDowell, Thomas F. Parkerton & Mark L. Hanson. (2023) Recommendations for improving the reporting and communication of aquatic toxicity studies for oil spill planning, response, and environmental assessment. Aquatic Toxicology 255, pages 106391.
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Mandeep K. Dhami & David R. Mandel. (2022) Communicating uncertainty using words and numbers. Trends in Cognitive Sciences 26:6, pages 514-526.
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Ann Hayward Walker, LCDR Renee McKinnon, Liesel Ritchie, Duane Gill, Terry Hasenaeur & John Giese. (2021) Oil Spill Preparedness and Response: Building the Capacity to Protect Public Welfare and Support Community Resilience. International Oil Spill Conference Proceedings 2021:1.
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N. Georgiou, R.M. Morgan & J.C. French. (2020) Conceptualising, evaluating and communicating uncertainty in forensic science: Identifying commonly used tools through an interdisciplinary configurative review. Science & Justice 60:4, pages 313-336.
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Emma E.H. Doyle, David M. Johnston, Richard Smith & Douglas Paton. (2019) Communicating model uncertainty for natural hazards: A qualitative systematic thematic review. International Journal of Disaster Risk Reduction 33, pages 449-476.
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Michael Bock, Hilary Robinson, Richard Wenning, Deborah French-McCay, Jill Rowe & Ann Hayward Walker. (2018) Comparative risk assessment of oil spill response options for a deepwater oil well blowout: Part II. Relative risk methodology. Marine Pollution Bulletin 133, pages 984-1000.
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Shabana Khan, Jyoti L. Mishra, Kuna-hui Elaine Lin & Emma E. H. Doyle. (2017) Rethinking communication in risk interpretation and action. Natural Hazards 88:3, pages 1709-1726.
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A.H. Walker. 2017. Oil Spill Science and Technology. Oil Spill Science and Technology 1 70 .
Jennifer L. Weidhaas, Andrea M. Dietrich, Nathan J. DeYonker, R. Ryan Dupont, William T. Foreman, Daniel Gallagher, Jennifer E.G. Gallagher, Andrew J. Whelton & William A. Alexander. (2016) Enabling Science Support for Better Decision‐Making when Responding to Chemical Spills. Journal of Environmental Quality 45:5, pages 1490-1500.
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ChanHyun Lee & KyungJin Cha. (2022) FAT-CAT for Explainability and Augmentation for an Ai System a Case Study on the AI Recruitment System Adoption. SSRN Electronic Journal.
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