Data science for empowerment: understanding the data science training landscape for women and girls in Africa

Babirye, C., Muyoya, C., Mazumdar, S. orcid.org/0000-0002-0748-7638 et al. (5 more authors) (2022) Data science for empowerment: understanding the data science training landscape for women and girls in Africa. Gender, Technology and Development, 26 (3). ISSN 0971-8524

Abstract

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Item Type: Article
Authors/Creators:
Copyright, Publisher and Additional Information:

© 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.

Keywords: Data science education; data science training; Africa; data science for women
Dates:
  • Published: December 2022
  • Published (online): 25 November 2022
  • Accepted: 14 October 2022
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Social Sciences (Sheffield) > Information School (Sheffield)
Funding Information:
Funder
Grant number
ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL
EP/T029110/1
Depositing User: Symplectic Sheffield
Date Deposited: 12 Dec 2022 14:49
Last Modified: 10 Oct 2024 07:39
Status: Published
Publisher: Taylor and Francis Group
Refereed: Yes
Identification Number: 10.1080/09718524.2022.2137562
Open Archives Initiative ID (OAI ID):

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