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
The increasing datafication of African societies has led to a proliferation of data science-related training opportunities. These trainings provide young people with the opportunity to learn the skills to work on Data science, with some focused specifically on women and girls. While this is encouraging and brings new opportunities for women and girls to participate in the knowledge economy, it is important to understand the wider context of data science training in Africa, in particular, how women and girls experience their (data science) education, and how this knowledge can impact their lives, sustain livelihoods and bring empowerment. Through a review of the literature, as well as an examination of different pedagogical approaches and practices used by various formal and informal training programs in Africa, we examined the experience of women and girls. We conducted a mapping of the training and networks that have been set up to provide knowledge and skills and to empower women in data science. We highlight some of the facilitators that have positively contributed to a greater participation of women and girls in data science education, while also revealing some of the barriers and structural impediments to fair access to training for women in data science.
Metadata
Item Type: | Article |
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Authors/Creators: |
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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: |
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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): | oai:eprints.whiterose.ac.uk:194317 |
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Licence: CC-BY-NC-ND 4.0