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Data Flourishing: Developing Human‐Centered Data Science through Communities of Ethical Practice
Journal article   Open access   Peer reviewed

Data Flourishing: Developing Human‐Centered Data Science through Communities of Ethical Practice

Alex H. Poole
Proceedings of the Association for Information Science and Technology, v 60(1), pp 338-352
Oct 2023
url
https://doi.org/10.1002/pra2.793View
Published, Version of Record (VoR) Open

Abstract

communities of practice data science data science education pedagogy Ethics
Data Science is a burgeoning area in the iField. But Data Science practices have far outstripped the field's ethical safeguards. We argue that Data Science graduate education programs must address this critical problem. In this theoretical and conceptual paper, we posit an ordinary macroethics that we call data flourishing. We contend that this macroethics is most appropriately developed through a holistic, human‐centered data science (HCDS)‐based pedagogy that concentrates on cultivating communities of ethical practice (COEPs) through social learning. We favor embedding this macroethics throughout iField programs' graduate data science curricula and by extension, the entire data science education enterprise. This paper aligns with the 2023 ASIS&T annual meeting theme of translating research into practice, particularly the subthemes of “improving decision‐making” and “understanding the power of information to develop human happiness, equality, and wellbeing.”

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