Varieties of Data-Centric Science: Regional Climate Modeling and Model Organism Research.
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 mo...
| Publicado en: | Philosophy of Science Vol. 89; no. 4; pp. 802 - 824 |
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| Autores principales: | , , , |
| Formato: | Artículo |
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Cambridge University Press
Oct2022
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=159949336&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 159949336 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00318248 PSC jtl: Philosophy of Science issn: 00318248 maglogo: N pubinfo: dt: Oct2022 vid: 89 iid: 4 pid: 15979 pub: Cambridge University Press artinfo: ui: 159949336 10.1017/psa.2021.50 ppf: 802 ppct: 22 formats: fmt: – @attributes: type: T – @attributes: type: P size: 952KB tig: atl: Varieties of Data-Centric Science: Regional Climate Modeling and Model Organism Research. aug: au: Lloyd, Elisabeth Lusk, Greg Gluck, Stuart McGinnis, Seth affil: Indiana University, Department of History and Philosophy of Science and Medicine, Bloomington, IN, USA Durham University, Department of Philosophy, Durham, UK Johns Hopkins University, Center for Talented Youth National Center for Atmospheric Research, Boulder, CO, USA su: Atmospheric models Climatology Scientific ability Big data sug: subj: Atmospheric models Climatology Scientific ability Big data ab: 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. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Copyright of Philosophy of Science is the property of Cambridge University Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. item: Philosophy of Science holder: Cambridge University Press dt: @attributes: year: 2022 holdings: @attributes: islocal: N |
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