Data science for empowerment: understanding the data science training landscape for women and girls in Africa
| dc.contributor.author | Babirye, Claire | |
| dc.contributor.author | Muyoya, Chisenga | |
| dc.contributor.author | Mazumdar, Suvodeep | |
| dc.contributor.author | Jimenez, Andrea | |
| dc.contributor.author | Maina, Ciira | |
| dc.contributor.author | Matogoro, Jabhera | |
| dc.contributor.author | Ndung’u, Margaret Nyambura | |
| dc.contributor.author | Kleine, Dorothea | |
| dc.date.accessioned | 2023-05-22T06:33:11Z | |
| dc.date.available | 2023-05-22T06:33:11Z | |
| dc.date.issued | 2022 | |
| dc.description | Full text article. Also available at https://doi.org/10.1080/09718524.2022.2137562 | en_US |
| dc.description.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 know-ledge and skills and to empower women in data science. We high-light 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. | en_US |
| dc.identifier.citation | Babirye, C., Muyoya, C., Mazumdar, S., Jimenez, A., Maina, C., Matogoro, J., ... & Kleine, D. (2022). Data science for empowerment: understanding the data science training landscape for women and girls in Africa. Gender, Technology and Development, 26(3), 437-462. | en_US |
| dc.identifier.other | DOI: https://doi.org/10.1080/09718524.2022.2137562 | |
| dc.identifier.uri | http://hdl.handle.net/20.500.12661/3701 | |
| dc.language.iso | en | en_US |
| dc.publisher | Tylor and Frances Group | en_US |
| dc.subject | Data science education | en_US |
| dc.subject | Data science training | en_US |
| dc.subject | Data science for women | en_US |
| dc.subject | Women empowerment | en_US |
| dc.subject | Information and Communication Technology | en_US |
| dc.subject | Africa | en_US |
| dc.title | Data science for empowerment: understanding the data science training landscape for women and girls in Africa | en_US |
| dc.type | Article | en_US |