Data Realism in the Era of Big Data: A Philosophical Examination

Abstract

This study delves into the examination of the philosophical foundations of data science within the realm of big data. This study delves into the significance of realism and anti-realism in the context of data interpretation. Additionally, it explores the concept of Adolphe Quetelet's "Average Man," distinguishes between population thinking and typologist thinking, and examines the implications of these ideologies in the era of big data. The objective of this article is to provide a comprehensive understanding of the potential influence that different philosophical perspectives can have on the interpretation and utilization of data within the context of contemporary data science. The primary objective of this research study is to investigate and analyze the intricate relationship that exists between the field of philosophy and the emerging discipline of data science.