The Onto-epistemology of Big Data

This study puts forward the results of a comprehensive literature review that allows of the exploration of the big data phenomenon as in technical terms as well in socio-political and philosophical ones, through the reading of authors such as Rob Kitchin (2014), Dawn E. Holmes (2017), and so forth....

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Bibliographic Details
Main Author: Alfaro Vargas, Roy
Format: Article
Language:English
Published: 2020
Subjects:
Latin American Marxist Studies
Neoliberalism
Set Theory
Algorithms
Capitalism
Estudios latinoamericanos marxistas
neoliberalismo
teoría de conjuntos
algoritmos
capitalismo
Estudos Latinoamericanos Marxistas
Neoliberalismo
Teoria de Conjuntos
Algorítmos
Capitalismo
Online Access:https://dialnet.unirioja.es/servlet/oaiart?codigo=7206965
Source:SAPIENTIAE, ISSN 2183-5063, Vol. 5, Nº. 2, 2020 (Ejemplar dedicado a: JANEIRO-JUNHO 2020), pags. 286-294
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The Onto-epistemology of Big Data
Summary: This study puts forward the results of a comprehensive literature review that allows of the exploration of the big data phenomenon as in technical terms as well in socio-political and philosophical ones, through the reading of authors such as Rob Kitchin (2014), Dawn E. Holmes (2017), and so forth. It is here offered a new critical approach to Big Data as long as the analysis have permitted us to evaluate not only the components of this new data science, but also the onto-epistemological consequences derived from the development and implementation of Big Data as in the scientific field as well in the quotidian. Also, this paper permits us to understand the linkage between Big Data and set theory in the construction of an onto-epistemology related to a political conservatism so that we are able to have the complete panorama in order to elaborate, in the near future, strategies to sublate such a phenomenon.

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