Mathematical Culture and Thought

Mathematical Culture and Thought

50 Years of Data Science

Document Type : Translation

Author
M‎. ‎Q‎. Vahidi-Asl
Shahid Beheshti University‎, ‎Iran
10.30504/mct.2023.1398.1982
Abstract
More than 50 years ago, J. Tukey called for a reformation of academic statistics. In “The ‎f‎uture of data
analysis,” he pointed to the existence of an as-yet unrecognized science, whose subject of interest was
learning from data, or “data analysis.” A recent and growing phenomenon has been the emergence of “data science” programs atmajor universities. This article reviews some ingredients of the current “data science moment,” including recent commentary about data science in the popular media, and about how/whether data science is really different from statistics. The now-contemplated field of data science amounts to a superset of the fields of statistics and machine learning, which adds some
technology for “scaling up” to “big data.” Because all of science itself will soon become data that can be mined, the imminent
revolution in data science is not about mere “scaling up,” but instead the emergence of scientific studies of
data analysis science-wide. I present a vision of data science based on the activities of people who are “learning from data,” and I describe an academic field dedicated to improving that activity in an evidence-basedmanner. This new field is a better academic enlargement of statistics and machine learning than today’s data science initiatives, while being able to accommodate the
same short-term goals.
Keywords
cross-study analysis
data analysis
data science
meta analysis
predictive modeling
quantitative
programming environments
statistics
Subjects

Donoho‎, ‎D.‎, ‎50 Years of Data Science‎, ‎J‎. ‎Comput‎. ‎Graph‎. ‎Statist., 26 (2017)‎, ‎no. 4‎, ‎745-766.

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  • Receive Date 14 June 2023
  • Accept Date 27 June 2023
  • Publish Date 22 July 2024