Martínez-Ordaz, María del Rosario (2021) Is there anything special about the ignorance involved in big data practices? [Preprint]
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Abstract
It is a fact that the larger the amount of defective (vague, partial, conflicting, inconsistent) information is, the more challenges scientists face when working with it. Here, I address the question of whether there is anything special about the ignorance involved in big data practices. I submit that the ignorance that emerges when using big data in the empirical sciences is ignorance of theoretical structure with reliable consequences and I explain how this ignorance relates to different epistemic achievements such as knowledge and understanding. I illustrate this with a case study from observational cosmology.
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| Item Type: | Preprint | ||||||
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| Keywords: | Big data, ignorance, ignorance of theoretical structure, modal understanding, Bullet Cluster. | ||||||
| Subjects: | General Issues > Data General Issues > Computer Simulation Specific Sciences > Physics > Cosmology General Issues > Structure of Theories |
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| Depositing User: | Dr. María del Rosario Martínez-Ordaz | ||||||
| Date Deposited: | 11 Oct 2021 03:42 | ||||||
| Last Modified: | 11 Oct 2021 03:42 | ||||||
| Item ID: | 19671 | ||||||
| Subjects: | General Issues > Data General Issues > Computer Simulation Specific Sciences > Physics > Cosmology General Issues > Structure of Theories |
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| Date: | 2021 | ||||||
| URI: | https://philsci-archive.pitt.edu/id/eprint/19671 |
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