Ethics, Policy and Environment (3):263-278 (2017)

Authors
Justin Donhauser
Bowling Green State University
Abstract
This essay furthers debate about the burgeoning science of Probabilistic Event Attribution (PEA) and its relevance to imminent climate policy decisions. It critically examines Allen Thompson and Friederike Otto’s recent arguments concerning the implications of PEA studies for how the United Nations Framework Convention on Climate Change (UNFCCC) policy framework should be revised during the 2016 ‘review and decision.’ I show that their contention that PEA studies cannot usefully inform decision-making about adaptation policies and strategies is misguided and argue that the current UNFCCC treaty, the “Paris Agreement,” supersedes their proposed revision.
Keywords Weather Event Science  Climate Change  Climate Policy  Counterfactual Reasoning  Climate Event Modeling
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DOI 10.1080/21550085.2017.1374023
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References found in this work BETA

Causality: Models, Reasoning and Inference.Judea Pearl - 2000 - Cambridge University Press.
Causality: Models, Reasoning and Inference.Judea Pearl - 2000 - Tijdschrift Voor Filosofie 64 (1):201-202.

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Citations of this work BETA

The Dawning of the Ethics of Environmental Robots.Justin Donhauser & Aimee van Wynsberghe - unknown - Science and Engineering Ethics 24 (6):1777-1800.
Revisiting the Basic/Applied Science Distinction: The Significance of Urgent Science for Science Funding Policy.Jamie Shaw - forthcoming - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie:1-23.
How New Climate Science and Policy Can Help Climate Refugees.Justin Donhauser - 2018 - Journal of Ethical Urban Living 2 (1):1-21.
How to Make Value-Driven Climate Science for Policy More Ethical.Justin Donhauser - 2021 - Studies in History and Philosophy of Science Part A 89:31-40.

View all 6 citations / Add more citations

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