This paper argues that big data is a valuable tool for scientific inquiry, but it is not a substitute for traditional scientific methods such as theory-building. To fully harness the potential of big data, scientists must develop innovative approaches that leverage its strengths while mitigating its limitations. By combining big data analytics with theory-building, scientists can gain a deeper understanding of complex phenomena and shape the future of scientific discovery.

The big theory revolution or why the data deluge will not wash the scientific method away / Ippoliti, Emiliano. - (2024), pp. 138-162. - STUDIES IN APPLIED PHILOSOPHY, EPISTEMOLOGY AND RATIONAL ETHICS. [10.1007/978-3-031-69300-7_9].

The big theory revolution or why the data deluge will not wash the scientific method away

emiliano ippoliti
2024

Abstract

This paper argues that big data is a valuable tool for scientific inquiry, but it is not a substitute for traditional scientific methods such as theory-building. To fully harness the potential of big data, scientists must develop innovative approaches that leverage its strengths while mitigating its limitations. By combining big data analytics with theory-building, scientists can gain a deeper understanding of complex phenomena and shape the future of scientific discovery.
2024
Model-based reasoning, abductive cognition, creativity
978-3-031-69299-4
big data; heuristics; logic; scientific discovery; deep learning; AI;
02 Pubblicazione su volume::02a Capitolo o Articolo
The big theory revolution or why the data deluge will not wash the scientific method away / Ippoliti, Emiliano. - (2024), pp. 138-162. - STUDIES IN APPLIED PHILOSOPHY, EPISTEMOLOGY AND RATIONAL ETHICS. [10.1007/978-3-031-69300-7_9].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1727105
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