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Titlebook: Handbook of the Philosophy of Climate Change; Gianfranco Pellegrino,Marcello Di Paola Reference work 2023 Springer Nature Switzerland AG 2

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發(fā)表于 2025-3-21 17:29:58 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Handbook of the Philosophy of Climate Change
編輯Gianfranco Pellegrino,Marcello Di Paola
視頻videohttp://file.papertrans.cn/423/422420/422420.mp4
概述Provides an essential starting point for any researcher in the field.Gives a comprehensive overview of the philosophy of climate change.Examines the scientific accounts of climate change as well as it
叢書名稱Handbooks in Philosophy
圖書封面Titlebook: Handbook of the Philosophy of Climate Change;  Gianfranco Pellegrino,Marcello Di Paola Reference work 2023 Springer Nature Switzerland AG 2
描述.This Handbook offers a broad yet unified treatment of many philosophical issues connected with climate change, ranging from foundational puzzles to detailed applications. It extends to many branches of philosophy that are relevant to the understanding of the premises and implications of the impacts of climate change on human and nonhuman life on Earth. More specifically, the handbook examines the scientific accounts of climate change as well as its causes. It explores the tools offered by social sciences and humanities to study the societal premises and impacts of climate change as well as delving deeper into?the ethical and political issues connected with and resulting from climate change. By doing so, it?puts it all in an ecological and historical context. In addition, the book offers solutions to some important philosophical puzzles and problems, and indicates paths of interaction between philosophy and other disciplines..The discussion about climate change andthe mitigation/adaptation policies spans many areas and levels – from abstract science and philosophy to current on-the-ground politics. However, climate change is also a great a philosophical puzzle. Indeed, its existent
出版日期Reference work 2023
關(guān)鍵詞Philosophy of Climate Change; Philosophical Issues of Climate Science; Anthropogenic Drivers of Climat
版次1
doihttps://doi.org/10.1007/978-3-031-07002-0
isbn_ebook978-3-031-07002-0Series ISSN 2524-4361 Series E-ISSN 2524-437X
issn_series 2524-4361
copyrightSpringer Nature Switzerland AG 2023
The information of publication is updating

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發(fā)表于 2025-3-22 12:29:12 | 只看該作者
Implications of Model-Based Uncertainty: Scientific Responses and Philosophical Interpretationsctices examined include the use of model ensembles in various forms (multi-model, large single model, and perturbed parameter), benchmarking, out-of-sample testing, and machine learning. Also explored are the philosophical discussions related to these practices, commenting on interpretations of mode
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Climate Research and Big Data and specifically the use of machine learning for the data-driven modeling of climate phenomena. The focus of this discussion is on the representational accuracy of data-driven models and how it might be assessed and what this implies for their use for predictions and for understanding.
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