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    Assessing Feasibility with Value-laden Models

    Discussing the Normativity of Integrated Assessment Models

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    Author(s)
    Hollnaicher, Simon
    Collection
    DFG - German Research Foundation
    Language
    English
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    Abstract
    In this Open-Access-book, the author investigates the value dimension of Integrated Assessment Models and their application to questions of feasibility. Integrated models provide a quantified representation of the interaction between the socio-economic system with the climate and serve as a pivotal tool at the intersection of climate science, policymakers, and society. This book critically examines how IAMs approach the concept of feasibility. It unpacks the value assumptions embedded within integrated modeling, critiques the implicit normativity of these models, and proposes principles for responsibly managing value judgments in scientific advice. Arguing for a thick conception of feasibility—one that integrates key normative dimensions—it highlights the gap between conceptual discussions of feasibility and the scientific practices that inform feasibility assessments. Addressed to both philosophers and integrated modelers, this book sheds light on the implicit values shaping our collective visions for the future.
    URI
    https://library.oapen.org/handle/20.500.12657/98594
    Keywords
    Integrated Assessment Modeling; Philosophy of Science; Feasibility; Scientific Policy Advice; Climate Ethics; Climate Mitigation
    DOI
    10.1007/978-3-662-70714-2
    ISBN
    9783662707142, 9783662707135, 9783662707142
    Publisher
    Springer Nature
    Publisher website
    https://www.springernature.com/gp/products/books
    Publication date and place
    Berlin, Heidelberg, 2025
    Grantor
    • Deutsche Forschungsgemeinschaft - [...]
    Imprint
    J.B. Metzler
    Classification
    Philosophy
    Technology: general issues
    Ethics and moral philosophy
    Pages
    222
    Rights
    http://creativecommons.org/licenses/by/4.0/
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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