TY - JOUR
T1 - An iSchool approach to data science
T2 - Human-centered, socially responsible, and context-driven
AU - Shah, Chirag
AU - Anderson, Theresa
AU - Hagen, Loni
AU - Zhang, Yin
N1 - Funding Information:
This position paper is a result of leadership offered by Il-Yeol Song, Javed Mostafa, and Sam Oh in forming and leading the iSchool Data Science Curriculum Committee (iDSCC). The views reported here are also result of diligent efforts of other members on the committee, including Wade Bishop, Lemen Chao, Gobinda Chowdhury, Ying Ding, Kai Eckert, Lisa Federer, Sangeun Han, Frank Hopfgartner, Mariell Ruiz, Jefferey Saltz, Michael Seadle, Dan Wu, and Joseph Yi. Finally, we are grateful to the participants in panels and other events, organized by iDSCC, for their valuable feedback and views.
Publisher Copyright:
© 2021 Association for Information Science and Technology
PY - 2021/6
Y1 - 2021/6
N2 - The Information Schools, also referred to as iSchools, have a unique approach to data science with three distinct components: human-centeredness, socially responsible, and rooted in context. In this position paper, we highlight and expand on these components and show how they are integrated in various research and educational activities related to data science that are being carried out at iSchools. We argue that the iSchool way of doing data science is not only highly relevant to the current times, but also crucial in solving problems of tomorrow. Specifically, we accentuate the issues of developing insights and solutions that are not only data-driven, but also incorporate human values, including transparency, privacy, ethics, fairness, and equity. This approach to data science has meaningful implications on how we educate the students and train the next generation of scholars and policymakers. Here, we provide some of those design decisions, rooted in evidence-based research, along with our perspective on how data science is currently situated and how it should be advanced in iSchools.
AB - The Information Schools, also referred to as iSchools, have a unique approach to data science with three distinct components: human-centeredness, socially responsible, and rooted in context. In this position paper, we highlight and expand on these components and show how they are integrated in various research and educational activities related to data science that are being carried out at iSchools. We argue that the iSchool way of doing data science is not only highly relevant to the current times, but also crucial in solving problems of tomorrow. Specifically, we accentuate the issues of developing insights and solutions that are not only data-driven, but also incorporate human values, including transparency, privacy, ethics, fairness, and equity. This approach to data science has meaningful implications on how we educate the students and train the next generation of scholars and policymakers. Here, we provide some of those design decisions, rooted in evidence-based research, along with our perspective on how data science is currently situated and how it should be advanced in iSchools.
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U2 - 10.1002/asi.24444
DO - 10.1002/asi.24444
M3 - Article
AN - SCOPUS:85099983969
SN - 2330-1635
VL - 72
SP - 793
EP - 796
JO - Journal of the American Society for Information Science and Technology
JF - Journal of the American Society for Information Science and Technology
IS - 6
ER -