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Data Science: Key Directions, Problems, and Perspectives

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Abstract—

This article outlines the boundaries of data science in relation to artificial intelligence. It also describes the multidimensional bilateral relationships between data science and other related sciences and provides a brief introduction to the methodology of data science and its key research directions. Finally, the article also discusses some challenging problems that data science is expected to address.

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Notes

  1. The concept of intelligence is omitted in Fig. 2 to avoid overly complicating the image.

  2. A well-known statement of G. Hegel comes to mind: “If the facts contradict my theory, so much the worse for the facts.”

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This work was performed according to own initiative of the author and have no external funding.

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  1. EURECA, JSL, 196084, Saint Petersburg, Russia

    V. I. Gorodetsky

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  1. V. I. Gorodetsky
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Correspondence to V. I. Gorodetsky.

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Translated by A. Ovchinnikova

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Gorodetsky, V.I. Data Science: Key Directions, Problems, and Perspectives. Sci. Tech. Inf. Proc. 50, 543–556 (2023). https://doi.org/10.3103/S0147688223060059

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