Large-scale rollout of extension training in Bangladesh: Challenges and opportunities for gender-inclusive participation
Despite the recognized importance of women’s participation in agricultural extension services, research continues to show inequalities in women’s participation. Emerging capacities for conducting large-scale extension training using information and communication technologies (ICTs) now afford opport...
| Autores principales: | , , , , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
2022
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/127575 |
| _version_ | 1855539085564706816 |
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| author | Medendorp, John William Reeves, N. Peter Sal y Rosas Celi, Victor Giancarlo Harun-Ar-Rashid Krupnik, Timothy J. Lutomia, Anne Namatsi Pittendrigh, Barry Robert Bello-Bravo, Julia |
| author_browse | Bello-Bravo, Julia Harun-Ar-Rashid Krupnik, Timothy J. Lutomia, Anne Namatsi Medendorp, John William Pittendrigh, Barry Robert Reeves, N. Peter Sal y Rosas Celi, Victor Giancarlo |
| author_facet | Medendorp, John William Reeves, N. Peter Sal y Rosas Celi, Victor Giancarlo Harun-Ar-Rashid Krupnik, Timothy J. Lutomia, Anne Namatsi Pittendrigh, Barry Robert Bello-Bravo, Julia |
| author_sort | Medendorp, John William |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Despite the recognized importance of women’s participation in agricultural extension services, research continues to show inequalities in women’s participation. Emerging capacities for conducting large-scale extension training using information and communication technologies (ICTs) now afford opportunities for generating the rich datasets needed to analyze situational factors that affect women’s participation. Data was recorded from 1,070 video-based agricultural extension training events (131,073 farmers) in four Administrative Divisions of Bangladesh (Rangpur, Dhaka, Khulna, and Rajshahi). The study analyzed the effect of gender of the trainer, time of the day, day of the week, month of the year, Bangladesh Administrative Division, and venue type on (1) the expected number of extension event attendees and (2) the odds of females attending the event conditioned on the total number of attendees. The study revealed strong gender specific training preferences. Several factors that increased total participation, decreased female attendance (e.g., male-led training event held after 3:30 pm in Rangpur). These findings highlight the dilemma faced by extension trainers seeking to maximize attendance at training events while avoiding exacerbating gender inequalities. The study concludes with a discussion of ways to mitigate gender exclusion in extension training by extending data collection processes, incorporating machine learning to understand gender preferences, and applying optimization theory to increase total participation while concurrently improving gender inclusivity. |
| format | Journal Article |
| id | CGSpace127575 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| record_format | dspace |
| spelling | CGSpace1275752025-11-06T13:09:11Z Large-scale rollout of extension training in Bangladesh: Challenges and opportunities for gender-inclusive participation Medendorp, John William Reeves, N. Peter Sal y Rosas Celi, Victor Giancarlo Harun-Ar-Rashid Krupnik, Timothy J. Lutomia, Anne Namatsi Pittendrigh, Barry Robert Bello-Bravo, Julia adults agricultural workers females gender humans machine learning Despite the recognized importance of women’s participation in agricultural extension services, research continues to show inequalities in women’s participation. Emerging capacities for conducting large-scale extension training using information and communication technologies (ICTs) now afford opportunities for generating the rich datasets needed to analyze situational factors that affect women’s participation. Data was recorded from 1,070 video-based agricultural extension training events (131,073 farmers) in four Administrative Divisions of Bangladesh (Rangpur, Dhaka, Khulna, and Rajshahi). The study analyzed the effect of gender of the trainer, time of the day, day of the week, month of the year, Bangladesh Administrative Division, and venue type on (1) the expected number of extension event attendees and (2) the odds of females attending the event conditioned on the total number of attendees. The study revealed strong gender specific training preferences. Several factors that increased total participation, decreased female attendance (e.g., male-led training event held after 3:30 pm in Rangpur). These findings highlight the dilemma faced by extension trainers seeking to maximize attendance at training events while avoiding exacerbating gender inequalities. The study concludes with a discussion of ways to mitigate gender exclusion in extension training by extending data collection processes, incorporating machine learning to understand gender preferences, and applying optimization theory to increase total participation while concurrently improving gender inclusivity. 2022-07-08 2023-01-19T14:47:25Z 2023-01-19T14:47:25Z Journal Article https://hdl.handle.net/10568/127575 en Open Access application/pdf Medendorp, J. W., Reeves, N. P., Celi, V. G. S. y R., Harun-ar-Rashid, Md., Krupnik, T. J., Lutomia, A. N., Pittendrigh, B., & Bello-Bravo, J. (2022). Large-scale rollout of extension training in Bangladesh: Challenges and opportunities for gender-inclusive participation. PLOS ONE, 17(7), e0270662. https://doi.org/10.1371/journal.pone.0270662 |
| spellingShingle | adults agricultural workers females gender humans machine learning Medendorp, John William Reeves, N. Peter Sal y Rosas Celi, Victor Giancarlo Harun-Ar-Rashid Krupnik, Timothy J. Lutomia, Anne Namatsi Pittendrigh, Barry Robert Bello-Bravo, Julia Large-scale rollout of extension training in Bangladesh: Challenges and opportunities for gender-inclusive participation |
| title | Large-scale rollout of extension training in Bangladesh: Challenges and opportunities for gender-inclusive participation |
| title_full | Large-scale rollout of extension training in Bangladesh: Challenges and opportunities for gender-inclusive participation |
| title_fullStr | Large-scale rollout of extension training in Bangladesh: Challenges and opportunities for gender-inclusive participation |
| title_full_unstemmed | Large-scale rollout of extension training in Bangladesh: Challenges and opportunities for gender-inclusive participation |
| title_short | Large-scale rollout of extension training in Bangladesh: Challenges and opportunities for gender-inclusive participation |
| title_sort | large scale rollout of extension training in bangladesh challenges and opportunities for gender inclusive participation |
| topic | adults agricultural workers females gender humans machine learning |
| url | https://hdl.handle.net/10568/127575 |
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