La onto-epistemología del Big Data
DOI:
https://doi.org/10.37293/sapientiae52.03Palabras clave:
Estudios latinoamericanos marxistas, neoliberalismo, teoría de conjuntos, algoritmos, capitalismo.Resumen
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.Referencias
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