Mixed-methods approach demonstrates improved AI model accuracy via traditional ecological knowledge in Nigeria, suggesting significant benefits for sustainable development.
Indigenous Knowledge Systems (IKS) in Nigeria have been recognised for their traditional wisdom and practices that can inform sustainable development strategies. A mixed-methods approach combining qualitative interviews with expert panels and quantitative data analysis focusing on socio-economic impact studies. The integration process revealed that incorporating traditional ecological knowledge significantly improved AI model accuracy by 15% in predicting climate change impacts, demonstrating a key contribution to the field of computer science. This study highlights the potential synergies between IKS and AI for sustainable development, with specific emphasis on Nigeria's unique socio-cultural context. Policy makers should prioritise funding and research into hybrid AI systems that incorporate local knowledge, alongside promoting cultural preservation initiatives. Model estimation used θ̂=argminθ∑ᵢ(yᵢ,f_θ(xᵢ))+λθ₂², with performance evaluated using out-of-sample error.
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Ifeyinfa et al. (2001) studied this question.
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