Human Data Science

D. L. Oberski

doi:10.1016/j.patter.2020.100069

Human Data Science

D. L. Oberski^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

Abstract

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. 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.

Original language	English
Article number	100069
Journal	Patterns
Volume	1
Issue number	4
DOIs	https://doi.org/10.1016/j.patter.2020.100069
Publication status	Published - 10 Jul 2020

Bibliographical note

Funding Information:
Thanks to Laura Boeschoten, Dong Nguyen, Ayoub Bagheri, Michael Friendly, and Peter van der Heijden for their useful comments. The author was supported by the Dutch Research Council (NWO) [VIDI grant VI. Vidi.195.152 ].

Publisher Copyright:
© 2020 The Author

Funding

Thanks to Laura Boeschoten, Dong Nguyen, Ayoub Bagheri, Michael Friendly, and Peter van der Heijden for their useful comments. The author was supported by the Dutch Research Council (NWO) [VIDI grant VI. Vidi.195.152 ].

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10.1016/j.patter.2020.100069Licence: CC BY

1-s2.0-S2666389920300891-mainFinal published version, 1.2 MBLicence: CC BY

Cite this

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ER -

Human Data Science

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