Hacia un análisis de los marcos epistémicos del big data

Gastón Becerra; José Antonio  Castorina

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Towards an analysis of the epistemic frameworks of big data

Authors

Gastón Becerra Consejo Nacional de Investigaciones Científicas y Técnicas https://orcid.org/0000-0001-9432-8848
José Antonio Castorina Consejo Nacional de Investigaciones Científicas y Técnicas https://orcid.org/0000-0003-1724-9315

No. 76 (2023): Marzo

Abstract

In this paper we explore some epistemological discussions about big data. As our main epistemological concept, we use the notion of Epistemic Framework formulated by Piaget and García, and reviewed by us in more recent works, which seeks to problematize the conditioning of ethical and political values, as well as other regulations, in the development of scientific knowledge. We propose to order the debates in the recent literature on big data through various dualities, such as data/interpretation, automatic/non-automatic, or causality/correlation, around which it is possible to view two specific epistemic frameworks, tending to split these terms, or to their integration. On this last mode of focusing the debates, we identify some epistemological challenges of research with big data, especially in the computational social sciences.

Keywords:

big data, epistemic framework, constructivism, computation

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How to Cite

Becerra, G., & Castorina, J. A. . (2023). Towards an analysis of the epistemic frameworks of big data. Cinta De Moebio. Revista De Epistemología De Ciencias Sociales, (76), pp. 50–63. Retrieved from https://revistaderechopublico.uchile.cl/index.php/CDM/article/view/70083