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Data Feminism.

  • Published In: Gender, Work & Organization, 2023, v. 30, n. 3. P. 1148 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Yarrow, Emily 3 of 3

Abstract

Ultimately, I "Data Feminism" i (2020) powerfully and poignantly explores how power is in manifest in data and data science, who holds the power, and how that may be challenged and changed in a tumultuous, inequitable, data-driven world. I "Data Feminism" i encourages the reader to consider the permeation of data, algorithms, and data science into almost every facet of life and lived experience of today's world. I "Data Feminism" i provides an in-depth, yet clear and accessible exploration of data science and data ethics, informed by intersectional feminist thought. In this visually stunning and infographic-rich text, I "Data Feminism" (2020), i Catherine D'Ignazio and Lauren F. Klein make an extremely timely contribution to why data science and data scientists need feminism. [Extracted from the article]

Additional Information

  • Source:Gender, Work & Organization. 2023/05, Vol. 30, Issue 3, p1148
  • Document Type:Article
  • Subject Area:Women's Studies and Feminism
  • Publication Date:2023
  • ISSN:0968-6673
  • DOI:10.1111/gwao.12891
  • Accession Number:162972111
  • Copyright Statement:Copyright of Gender, Work & Organization is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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