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Frontiers in Climate Science: Inquiries Into Data and Methods = 气候科学前沿:数据和方法的探索 [electronic resource]
Frontiers in Climate Science: Inquiries Into Data and Methods = 气候科学前沿:数据和方法的探索 [electronic resource]
- Material Type
- 학위논문
- 0016933356
- Date and Time of Latest Transaction
- 20240214101236
- ISBN
- 9798379709310
- DDC
- 501
- Author
- Li, Dan.
- Title/Author
- Frontiers in Climate Science: Inquiries Into Data and Methods = 气候科学前沿:数据和方法的探索 [electronic resource]
- Publish Info
- [S.l.] : Indiana University., 2023
- Publish Info
- Ann Arbor : ProQuest Dissertations & Theses, 2023
- Material Info
- 1 online resource(149 p.)
- General Note
- Source: Dissertations Abstracts International, Volume: 84-12, Section: B.
- General Note
- Advisor: Lloyd, Elisabeth A.;Flammini, Alessandro.
- 학위논문주기
- Thesis (Ph.D.)--Indiana University, 2023.
- Restrictions on Access Note
- This item must not be sold to any third party vendors.
- Abstracts/Etc
- 요약When climate scientists face research questions that lack paradigmatic solutions, they seek methods and explanations elsewhere. This dissertation is dedicated to offering analyses and improvement of foreign methods in climate science. I do so by first explicating the inferential strategies behind these methods and then articulating how we can improve these methods to answer certain questions. After a brief introduction to philosophy of climate science and the naturalistic tradition of philosophy of science, in Ch. 2, I analyze a "missing tree ring" debate regarding whether trees could miss the growth of their annual ring at a large scale due to extreme environmental conditions. In Ch. 3, I discuss machine learning as automated induction and show that various problems of induction anticipated by philosophers are concrete obstacles in machine learning practice and theory. I then explain how to select variables that can help make the inductive leap to mitigate these problems with examples from climate science. In Ch. 4, I study how scientists can meaningfully apply network modeling on climate data. Broadly, this dissertation makes two contributions. First, it aims to help scientists. Each case study is accompanied with methodological suggestions that can be implemented as scientific research projects. Second, this dissertation demonstrates doing "philosophy in science," that is "raising a scientific problem, using philosophical tools to address it, and making a scientific proposal" (Pradeu et al. 2021). Thinking through these cases, I show that ideas should run before computation. Thus, this dissertation is also a showcase of how philosophy and science can benefit from each other by paying attention to the reasoning behind each.
- Subject Added Entry-Topical Term
- Philosophy of science.
- Subject Added Entry-Topical Term
- Information science.
- Subject Added Entry-Topical Term
- Climate change.
- Index Term-Uncontrolled
- Paradigmati
- Index Term-Uncontrolled
- Climate science
- Index Term-Uncontrolled
- Foreign methods
- Index Term-Uncontrolled
- Philosophical tools
- Index Term-Uncontrolled
- Machine learning
- Added Entry-Corporate Name
- Indiana University History and Philosophy of Science
- Host Item Entry
- Dissertations Abstracts International. 84-12B.
- Host Item Entry
- Dissertation Abstract International
- Electronic Location and Access
- 로그인을 한후 보실 수 있는 자료입니다.
- 소장사항
-
202402 2024
- Control Number
- joongbu:639689
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