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Is there anything special about the ignorance involved in big data practices?

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
Creators:
CreatorsEmailORCID
Martínez-Ordaz, María del Rosariomartinezordazm@gmail.com0000-0003-2118-3515
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
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
Date: 2021
URI: https://philsci-archive.pitt.edu/id/eprint/19671

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