The science of statistics versus data science: What is the future?

Hossein Hassani, Christina Beneki, Emmanuel Sirimal Silva, Nicolas Vandeput and Dag Øivind Madsen

Technological Forecasting and Social Change, 2021, vol. 173, issue C

Abstract: The importance and relevance of the discipline of statistics with the merits of the evolving field of data science continues to be debated in academia and industry. Following a narrative literature review with over 100 scholarly and practitioner-oriented publications from statistics and data science, this article generates a pragmatic perspective on the relationships and differences between statistics and data science. Some data scientists argue that statistics is not necessary for data science as statistics delivers simple explanations and data science delivers results. Therefore, this article aims to stimulate debate and discourse among both academics and practitioners in these fields. The findings reveal the need for stakeholders to accept the inherent advantages and disadvantages within the science of statistics and data science. The science of statistics enables data science (aiding its reliability and validity), and data science expands the application of statistics to Big Data. Data scientists should accept the contribution and importance of statistics and statisticians must humbly acknowledge the novel capabilities made possible through data science and support this field of study with their theoretical and pragmatic expertise. Indeed, the emergence of data science does pose a threat to statisticians, but the opportunities for synergies are far greater.

Keywords: Perspective; Science; Statistics; Data science; Similarities; Differences; Pragmatism (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:173:y:2021:i:c:s0040162521005448

DOI: 10.1016/j.techfore.2021.121111

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