{"id":20716,"date":"2026-03-13T14:40:27","date_gmt":"2026-03-13T13:40:27","guid":{"rendered":"https:\/\/grain-africa.org\/?p=20716"},"modified":"2026-03-13T16:09:28","modified_gmt":"2026-03-13T15:09:28","slug":"grain-has-selected-kwara-state-university-and-its-ai4wia-2-0-project-to-jointly-develop-a-gedi-matrix-for-use-in-the-agricultural-calendar","status":"publish","type":"post","link":"https:\/\/grain-africa.org\/en\/grain-selectionne-kwara-state-university-et-son-projet-ai4wia-2-0-pour-co-construire-une-matrice-gedi-appliquee-au-calendrier-agricole\/","title":{"rendered":"GRAIN has selected Kwara State University and its AI4WIA 2.0 project to jointly develop a GEDI matrix for use in the agricultural calendar."},"content":{"rendered":"

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As part of Phase II of the GRAIN (Gender and Responsible Artificial Intelligence Network) project, KWASU has been selected to take part in the co-development of a GEDI (Gender \u2013 Equality \u2013 Diversity \u2013 Inclusion) matrix. This selection forms part of an initiative to support existing AI solutions with a view to integrating the principles of gender equality and inclusion in a structured manner.<\/p>\n\n\n\n

The AI4WIA 2.0 project aligns with the \u00abagriculture and AI\u00bb priority area. The project aims to roll out and improve an AI-based agricultural calendar, developed during the first phase, with a focus on the inclusion of women farmers and young leaders. In particular, the project will train 50 women and young leaders, produce practical guides for the inclusive roll-out of agricultural AI, as well as policy briefs and best-practice guidelines for stakeholders in innovation and agricultural development.<\/p>\n\n\n\n

Implemented in both English-speaking and French-speaking communities in Nigeria, AI4WIA 2.0 will draw on co-design workshops, training sessions and the collection of user feedback in order to adapt the tool to local languages and contexts.<\/p>\n\n\n\n

This collaborative learning initiative between GRAIN and KWASU aims to produce a contextualised GEDI matrix based on experiences in the field.<\/p>\n

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