Open AccessHuman Data Science
Author(s) -
Daniel L. Oberski
Publication year - 2020
Publication title -
patterns
Language(s) - English
Resource type - Journals
ISSN - 2666-3899
DOI - 10.1016/j.patter.2020.100069
Subject(s) - data science , computer science
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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