DIPPER Lab, GRAIN partner to develop GEDI framework for SIWA
DIPPER Lab and the Gender and Responsible Artificial Intelligence Network (GRAIN) have partnered under the Artificial Intelligence for Development (AI4D) programme to develop a Gender Equality, Diversity and Inclusion (GEDI) framework for the Smart Indigenous Weather App (SIWA).
The partnership, which is funded under EmpowerHerAI, Advancing Gender Equality and Responsible AI in Sub-Saharan Africa through Gender and Responsible AI Network, will be implemented through the ObaaSIWA project
ObaaSIWA is a gender-focused initiative aimed at strengthening the capacity of female farmers within the SIWA study area to make accurate short-term rainfall predictions through the integration of indigenous weather forecasting methods.
The project seeks to empower women as key stakeholders in climate resilience by improving access to hyper-local, accessible and culturally relevant weather information.
This is expected to enhance agricultural decision-making among female farmers.
As part of the initiative, a GEDI framework will be developed to guide the inclusive design and use of SIWA, ensuring that gender and social inclusion considerations are embedded in the application.
The project is led by Prof. Eric Tutu Tchao, Scientific Director of DIPPER Lab.
Other members of the team include Dr. Andrews Selasi Agbemenu, Deputy Scientific Director, Dr. Elikplim Abui Tamaklo, Gender Officer at DIPPER Lab, Christiana Selorm Aggor, Administrator, Dr. Enoch Bessah, Climate and Ecosystems Service Monitoring, and Dr. Prince Odame.
The collaboration forms part of broader efforts under the AI4D programme to apply responsible Artificial Intelligence to development challenges, particularly in agriculture and climate adaptation.
