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1 Mapedza, Everisto; Huyer, S.; Chanana, N.; Rose, A.; Jacobs-Mata, Inga; Mudege, N. N.; Tui, S. H.-K.; Gbegbelegbe, S.; Nsengiyumva, G.; Mutenje, Munyaradzi; Nohayi, Ngowenani. 2023. Framework for incorporating Gender Equality and Social Inclusion (GESI) elements in Climate Information Services (CIS). Sustainability, 15(1):190. (Special issue: Gender and Socially-Inclusive Approaches to Technology for Climate Action) [doi: https://doi.org/10.3390/su15010190]
(Location: IWMI HQ Call no: e-copy only Record No: H051578)
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We advance a gender equality and social inclusion (GESI) framework for incorporating climate information services (CIS), which is now becoming central due to the ongoing climate change and climate variability. We understand gender as a social construct of who women and men are supposed to be. Gender inequalities seem to be enduring such that, despite innovations in agricultural and climate information technologies, unequal gender power dynamics will still emerge. As far back as the 1960s, the gendered inequalities in accessing technologies could be identified. Such a historical analysis clearly shows that the different technological solutions are clearly embedded within the society in which they evolve in. The paper uses a literature review methodological approach whilst informing the implementation of an ongoing Accelerating Impacts of CGIAR Climate Research for Africa (AICCRA) Project. The findings reveal that unless women are intentionally included in designing and developing agricultural technologies, specifically climate information systems, there is a danger that women will be excluded from the benefits. Conway’s law clearly stipulates that technological innovations are not neutral as they are a projection of the values of their creators. It is, therefore, central to grasp the values of creators of different technological solutions and innovations. The key findings are built around the espoused conceptual framework, which has five indicators, namely: (1) gender targeting by intentional design, (2) collection of sex-disaggregated data, (3) conduct an analysis of the sex-disaggregated data, (4) dissemination of the technological options and (5) conduct continuous monitoring of gender and ongoing empowerment evaluation. The five indicator domains are further complemented by their respective assumptions. Our GESI recommendations are on the five selected indicator domains. These domains must be used within the three focal development areas: agricultural data hub, climate information services training, and flood and drought indicators, which are all being implemented in Zambia. Other AICCRA Project countries are Ethiopia, Ghana, Kenya, Mali, and Senegal. This paper engages why CIS has not gained significant traction in Africa, as it has not genuinely incorporated the differential gender technological nuances.
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