Moving beyond simulation and learning: Unveiling the potential of complexity data science

Frank Emmert-Streib, Hocine Cherifi, Stuart Kauffman and Olli Yli-Harja

PLOS Complex Systems, 2024, vol. 1, issue 2, 1-4

Abstract: Complexity science is a multidisciplinary field that examines various aspects of complex systems. While complexity science places a significant emphasis on simulation, it has a somewhat neglectful treatment of learning. In this paper, we explore a recent example of the potential synergy between simulation and learning, illustrated by the concept of digital twins. We argue that integrating simulation and learning holds significant promise beyond the scope of digital twins alone. In our view, the general amalgamation of complexity science and data science heralds the dawn of a distinct and innovative field in its own right, which we call complexity data science.

Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pcsy00:0000002

DOI: 10.1371/journal.pcsy.0000002

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