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The Evolution of Data Science: A New Mode of Knowledge Production
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Author(s): Jennifer Lewis Priestley (Kennesaw State University, USA) and Robert J. McGrath (University of New Hampshire, USA)
Copyright: 2019
Volume: 15
Issue: 2
Pages: 13
Source title:
International Journal of Knowledge Management (IJKM)
Editor(s)-in-Chief: Murray E. Jennex (San Diego State University, USA)
DOI: 10.4018/IJKM.2019040106
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Abstract
Is data science a new field of study or simply an extension or specialization of a discipline that already exists, such as statistics, computer science, or mathematics? This article explores the evolution of data science as a potentially new academic discipline, which has evolved as a function of new problem sets that established disciplines have been ill-prepared to address. The authors find that this newly-evolved discipline can be viewed through the lens of a new mode of knowledge production and is characterized by transdisciplinarity collaboration with the private sector and increased accountability. Lessons from this evolution can inform knowledge production in other traditional academic disciplines as well as inform established knowledge management practices grappling with the emerging challenges of Big Data.
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