TY - JOUR
T1 - Human Data Science
AU - Oberski, D. L.
N1 - 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
PY - 2020/7/10
Y1 - 2020/7/10
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85102975322&partnerID=8YFLogxK
U2 - 10.1016/j.patter.2020.100069
DO - 10.1016/j.patter.2020.100069
M3 - Comment/Letter to the editor
AN - SCOPUS:85102975322
VL - 1
JO - Patterns
JF - Patterns
IS - 4
M1 - 100069
ER -