By Koby Mike, Orit Hazzan
Communications of the ACM,
February 2023,
Vol. 66 No. 2, Pages 12-13
10.1145/3575663
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December 2, 2022 https://bit.ly/3B9tZxK
If you ask a group of data scientists what data science is, you would probably hear different definitions. Indeed, although many attempts have been made to define data science, such a definition has not yet been reached. One reason for the difficulty to reach a single, consensus definition for data science is its multifaceted nature: it can be described as a science, as a research paradigm, as a research method, as a discipline, as a workflow, and as a profession. One single definition just cannot capture the diverse essence of data science. In this blog, we attempt to present the essence of each of these perspectives.
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