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Varieties of Data-Centric Science: Regional Climate Modeling and Model Organism Research

Lloyd, Elisabeth; Lusk, Greg; Gluck, Stuart; McGinnis, Seth

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Authors

Elisabeth Lloyd

Stuart Gluck

Seth McGinnis



Abstract

Modern science’s ability to produce, store, and analyze big datasets is changing the way that scientific research is practiced. Philosophers have only begun to comprehend the changed nature of scientific reasoning in this age of “big data.” We analyze data-focused practices in biology and climate modeling, identifying distinct species of data-centric science: phenomena-laden in biology and phenomena-agnostic in climate modeling, each better suited for its own domain of application, though each entail trade-offs. We argue that data-centric practices in science are not monolithic because the opportunities and challenges presented by big data vary across scientific domains.

Citation

Lloyd, E., Lusk, G., Gluck, S., & McGinnis, S. (2022). Varieties of Data-Centric Science: Regional Climate Modeling and Model Organism Research. Philosophy of Science, 89(4), 802 - 823. https://doi.org/10.1017/psa.2021.50

Journal Article Type Article
Publication Date 2022-10
Deposit Date Nov 10, 2022
Publicly Available Date Nov 11, 2022
Journal Philosophy of Science
Print ISSN 0031-8248
Electronic ISSN 1539-767X
Publisher Philosophy of Science Association
Peer Reviewed Peer Reviewed
Volume 89
Issue 4
Pages 802 - 823
DOI https://doi.org/10.1017/psa.2021.50
Public URL https://durham-repository.worktribe.com/output/1185777

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