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dc.contributor.authorBokulich, Alisaen_US
dc.date2019-09-16
dc.date.accessioned2021-06-25T13:31:56Z
dc.date.available2021-06-25T13:31:56Z
dc.date.issued2020-12
dc.identifier.citationAlisa Bokulich. 2020. "Towards a Taxanomy of the Model-Ladenness of Data." Philosophy of Science, Volume 87, Issue 5, pp. 793 - 806. https://doi.org/10.1086/710516
dc.identifier.issn0031-8248
dc.identifier.urihttps://hdl.handle.net/2144/42713
dc.description.abstractModel-data symbiosis is the view that there is an interdependent and mutually beneficial relationship between data and models, whereby models are not only data-laden, but data are also model-laden or model filtered. In this paper I elaborate and defend the second, more controversial, component of the symbiosis view. In particular, I construct a preliminary taxonomy of the different ways in which theoretical and simulation models are used in the production of data sets. These include data conversion, data correction, data interpolation, data scaling, data fusion, data assimilation, and synthetic data. Each is defined and briefly illustrated with an example from the geosciences. I argue that model-filtered data are typically more accurate and reliable than the so-called raw data, and hence beneficially serve the epistemic aims of science. By illuminating the methods by which raw data are turned into scientifically useful data sets, this taxonomy provides a foundation for developing a more adequate philosophy of data.en_US
dc.format.extentp. 793 - 806en_US
dc.language.isoen_US
dc.publisherUniversity of Chicago Pressen_US
dc.relation.ispartofPhilosophy of Science
dc.subjectHistory and philosophy of specific fieldsen_US
dc.subjectPhilosophyen_US
dc.subjectScience studiesen_US
dc.titleTowards a taxanomy of the model-ladenness of dataen_US
dc.typeArticleen_US
dc.description.versionAccepted manuscripten_US
dc.identifier.doi10.1086/710516
pubs.elements-sourcemanual-entryen_US
pubs.notesEmbargo: Not knownen_US
pubs.organisational-groupBoston Universityen_US
pubs.organisational-groupBoston University, College of Arts & Sciencesen_US
pubs.organisational-groupBoston University, College of Arts & Sciences, Department of Philosophyen_US
pubs.publication-statusPublisheden_US
dc.identifier.mycv525622


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