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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Main Author: Alfaro Vargas, Roy
Format: Article
Language:English
Published: 2020
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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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SAPIENTIAE, ISSN 2183-5063, Vol. 5, Nº. 2, 2020 (Ejemplar dedicado a: JANEIRO-JUNHO 2020), pags. 286-294
language
English
topic
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
spellingShingle
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
Alfaro Vargas, Roy
The Onto-epistemology of Big Data
description
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.
format
Article
author
Alfaro Vargas, Roy
author_facet
Alfaro Vargas, Roy
author_sort
Alfaro Vargas, Roy
title
The Onto-epistemology of Big Data
title_short
The Onto-epistemology of Big Data
title_full
The Onto-epistemology of Big Data
title_fullStr
The Onto-epistemology of Big Data
title_full_unstemmed
The Onto-epistemology of Big Data
title_sort
onto-epistemology of big data
publishDate
2020
url
https://dialnet.unirioja.es/servlet/oaiart?codigo=7206965
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1709751288523128832
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dialnet-ar-18-ART00013604002020-01-24The Onto-epistemology of Big DataAlfaro Vargas, RoyLatin American Marxist StudiesNeoliberalismSet TheoryAlgorithmsCapitalismEstudios latinoamericanos marxistasneoliberalismoteoría de conjuntosalgoritmoscapitalismoEstudos Latinoamericanos MarxistasNeoliberalismoTeoria de ConjuntosAlgorítmosCapitalismoThis 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.Este estudo apresenta os resultados de uma pesquisa bibliográfica, que permite a exploração do fenômeno do Big Data, tanto em termos técnicos, quanto em termos sociopolíticos e filosóficos, através da leitura de autores como: Rob Kitchin (2014), Dawn E. Holmes (2017), entre outros. Aqui, uma nova abordagem crítica para o Big Data é oferecida, pois a análise nos permitiu avaliar não apenas os componentes desta nova ciência de dados, mas também as consequências onto-epistemológicas decorrentes do desenvolvimento e implementação do Big Data, tanto no campo científico e no cotidiano. Além disso, este artigo nos permite entender a ligação entre Big Data e definir a teoria na construção de uma epistemologia ligada ao conservadorismo político, para que possamos ter um quadro completo para desenvolver, no futuro estratégias para superar tal fenômeno.Este estudio presenta los resultados de una investigación bibliográfica, la cual permite la exploración del fenómeno del Big Data tanto en términos técnicos, como también en términos socio-políticos y filosóficos, a través de la lectura de autores como: Rob Kitchin (2014), Dawn E. Holmes (2017), etc. Aquí se ofrece una nueva aproximación crítica al Big Data, en la medida que el análisis nos ha permitido evaluar no solo los componentes de esta nueva ciencia de datos, sino también las consecuencias onto-epistemológicas derivadas del desarrollo e implementación del Big Data tanto en el campo científico, como en lo cotidiano. También, este artículo nos permite comprender el vínculo entre el Big Data y la teoría de conjuntos en la construcción de una onto-epistemología ligada a un conservadurismo político, con el fin de que nosotros podamos tener un panorama completo para elaborar, en el futuro cercano, estrategias para superar tal fenómeno.2020text (article)application/pdfhttps://dialnet.unirioja.es/servlet/oaiart?codigo=7206965(Revista) ISSN 2184-061X(Revista) ISSN 2183-5063SAPIENTIAE, ISSN 2183-5063, Vol. 5, Nº. 2, 2020 (Ejemplar dedicado a: JANEIRO-JUNHO 2020), pags. 286-294engLICENCIA DE USO: Los documentos a texto completo incluidos en Dialnet son de acceso libre y propiedad de sus autores y/o editores. Por tanto, cualquier acto de reproducción, distribución, comunicación pública y/o transformación total o parcial requiere el consentimiento expreso y escrito de aquéllos. Cualquier enlace al texto completo de estos documentos deberá hacerse a través de la URL oficial de éstos en Dialnet. Más información: https://dialnet.unirioja.es/info/derechosOAI | INTELLECTUAL PROPERTY RIGHTS STATEMENT: Full text documents hosted by Dialnet are protected by copyright and/or related rights. This digital object is accessible without charge, but its use is subject to the licensing conditions set by its authors or editors. Unless expressly stated otherwise in the licensing conditions, you are free to linking, browsing, printing and making a copy for your own personal purposes. All other acts of reproduction and communication to the public are subject to the licensing conditions expressed by editors and authors and require consent from them. Any link to this document should be made using its official URL in Dialnet. More info: https://dialnet.unirioja.es/info/derechosOAI