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On the Big Impact of “Big Computer Science”

Abstract

Big science is bringing unprecedented progress in many fundamental fields, such as biology and medicine. While progress cannot be questioned, when looking at the foundations and models of big science one wonders if such new approach is in contrast with critical thinking and model-driven scientific methods—which has shaped for decades higher education in science, including computer science. In this paper, after a discussion on how big science is shaping drug discovery and modern biology, I trace the start of this new interest on data science as outcome of the “fourth paradigm” and I discuss how CS education is changing due to the impact of big science, and question where/how it will be hosted within universities and if Academia is a good fit for data scientists.

Keywords

  • Data Science
  • Willful Ignorance
  • Substantive Expertise
  • Computer Science Curriculum
  • Fourth Paradigm

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Correspondence to Stefano Ceri .

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Ceri, S. (2017). On the Big Impact of “Big Computer Science”. In: Werthner, H., van Harmelen, F. (eds) Informatics in the Future. Springer, Cham. https://doi.org/10.1007/978-3-319-55735-9_2

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  • DOI: https://doi.org/10.1007/978-3-319-55735-9_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-55734-2

  • Online ISBN: 978-3-319-55735-9

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