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Human Data Science

delete2020-07-01
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OA
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D
Daniel L. Oberski *
DOI:10.1016/j.patter.2020.100069delete
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Abstract

Abstract

En 中文
Most data science is about people, and opinions on the value of human data differ. The author offers a synthesis of overly optimistic and overly pessimistic views of human data science: it should become a science, with errors systematically studied and their effects mitigated-a goal that can only be achieved by bringing together expertise from a range of disciplines.
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Patterns cover
Patterns
IF:
7.4
Papers:
935
Citations:
3.6K

Organization

U
Utrecht University
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5.9W
Papers: 5.1W
Citations: 5.8W