MARTINEZ ORDAZ, MARIA DEL ROSARIO (2023) Scientific understanding through big data: From ignorance to insights to understanding. [Preprint]
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Abstract
Here I argue that scientists can achieve some understanding of both the products of big data implementation as well as of the target phenomenon to which they are expected to refer --even when these products were obtained through essentially epistemically opaque processes. The general aim of the paper is to provide a road map for how this is done; going from the use of big data to epistemic opacity (Sec. 2), from epistemic opacity to ignorance (Sec. 3), from ignorance to insights (Sec. 4), and finally, from insights to understanding (Sec. 5, 6).
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| Item Type: | Preprint | ||||||
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| Keywords: | ignorance, ignorance of theoretical structure, insights, scientific understanding, big data. | ||||||
| Subjects: | General Issues > Data Specific Sciences > Chemistry General Issues > Technology |
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| Depositing User: | Dr. María del Rosario Martínez-Ordaz | ||||||
| Date Deposited: | 04 May 2023 14:06 | ||||||
| Last Modified: | 04 May 2023 14:06 | ||||||
| Item ID: | 22036 | ||||||
| Subjects: | General Issues > Data Specific Sciences > Chemistry General Issues > Technology |
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| Date: | 2023 | ||||||
| URI: | https://philsci-archive.pitt.edu/id/eprint/22036 |
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