Rejoinder: The Present and Future of Data Science in Society

Leonelli, S
Date: 29 January 2021
Journal
Harvard Data Science Review
Publisher
MIT Press
Publisher DOI
https://doi.org/10.1162/99608f92.fc216595
Abstract
I am delighted for the opportunity offered by HDSR to have a wide-ranging conversation over the role of data science in the COVID-19 pandemic, and I am grateful to all the discussants for their generous comments and insightful expansions on my original piece. In what follows, I identify and discuss four key topics that emerged from ...
I am delighted for the opportunity offered by HDSR to have a wide-ranging conversation over the role of data science in the COVID-19 pandemic, and I am grateful to all the discussants for their generous comments and insightful expansions on my original piece. In what follows, I identify and discuss four key topics that emerged from this conversation, with the aim to prompt further dialogue on the use of data science to tackle the pandemic as well as on the future of data science and its role in society beyond the current crisis.
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Social and Political Sciences, Philosophy, and Anthropology

Faculty of Humanities, Arts and Social Sciences

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Open access. This article is © 2021 by the author(s). The editorial is licensed under a Creative Commons Attribution (CC BY 4.0) International license (https://creativecommons.org/licenses/by/4.0/legalcode), except where otherwise indicated with respect to particular material included in the article. The article should be attributed to the authors identified above.
Except where otherwise noted, this item's licence is described as Open access. This article is © 2021 by the author(s). The editorial is licensed under a Creative Commons Attribution (CC BY 4.0) International license (https://creativecommons.org/licenses/by/4.0/legalcode), except where otherwise indicated with respect to particular material included in the article. The article should be attributed to the authors identified above.