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An iSchool approach to data science: Human‐centered, socially responsible, and context‐driven

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  • Chirag Shah
  • Theresa Anderson
  • Loni Hagen
  • Yin Zhang

Abstract

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.

Suggested Citation

  • Chirag Shah & Theresa Anderson & Loni Hagen & Yin Zhang, 2021. "An iSchool approach to data science: Human‐centered, socially responsible, and context‐driven," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(6), pages 793-796, June.
    • Handle: RePEc:bla:jinfst:v:72:y:2021:i:6:p:793-796
    DOI: 10.1002/asi.24444
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    References listed on IDEAS

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    1. Mohammad Hossein Jarrahi & Gabriela Philips & Will Sutherland & Steve Sawyer & Ingrid Erickson, 2019. "Personalization of knowledge, personal knowledge ecology, and digital nomadism," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 70(4), pages 313-324, April.
    2. Susan Leigh Star & Karen Ruhleder, 1996. "Steps Toward an Ecology of Infrastructure: Design and Access for Large Information Spaces," Information Systems Research, INFORMS, vol. 7(1), pages 111-134, March.
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    Cited by:

    1. Deborah Swain, 2022. "Knowledge architectures: Structures and semantics. Denise Bedford, Abingdon‐on‐Thames: Routledge, 2021. 544 pp. £120.00 (hardcover). (ISBN 9780367219444)," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(6), pages 892-896, June.

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