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- W4308286229 abstract "Abstract The modern abundance and prominence of data have led to the development of “data science” as a new field of enquiry, along with a body of epistemological reflections upon its foundations, methods, and consequences. This article provides a systematic analysis and critical review of significant open problems and debates in the epistemology of data science. We propose a partition of the epistemology of data science into the following five domains: (i) the constitution of data science; (ii) the kind of enquiry that it identifies; (iii) the kinds of knowledge that data science generates; (iv) the nature and epistemological significance of “black box” problems; and (v) the relationship between data science and the philosophy of science more generally." @default.
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- W4308286229 date "2022-11-06" @default.
- W4308286229 modified "2023-09-30" @default.
- W4308286229 title "The epistemological foundations of data science: a critical review" @default.
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- W4308286229 doi "https://doi.org/10.1007/s11229-022-03933-2" @default.
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