Abstract
The present book consists of two parts. The first part comprising Chaps. 1, 2, 3, and 4 analyzes what kind of scientific approach data science constitutes. Essentially, data science is identified as a phenomenological approach relying primarily on inductive inferences. More exactly, the prevalent type of induction is variational induction. The second part comprising Chaps. 5, 6, 7, 8, and 9 develops a conceptual framework and a corresponding inductive methodology that fits the phenomenological and variational approach of data science. Referring to the title of the book, this epistemological framework provides the “conceptual tools for a new inductivism.”
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Pietsch, W. (2022). Conclusion. In: On the Epistemology of Data Science. Philosophical Studies Series, vol 148. Springer, Cham. https://doi.org/10.1007/978-3-030-86442-2_10
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DOI: https://doi.org/10.1007/978-3-030-86442-2_10
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