
About
Dr David Botchie serves as a Reader in Sustainability and Global Value Chains within the Global Management department at Brunel Business School, Brunel University London. With a PhD in International Development and interdisciplinary training spanning social and natural sciences, he specializes in the intersection of sustainability, technology management, and global value chain dynamics, particularly focusing on African contexts and emerging economies.
His educational background includes a BSc, MPhil, and PhD with formal recognition as a Fellow of the Higher Education Academy (FHEA). Dr Botchie's research portfolio spans climate change adaptation, circular economy implementation, food systems transformation, and AI applications in sustainability. His interdisciplinary approach bridges technological innovation with socio-economic development challenges, evidenced by extensive collaborations with institutions across Africa and Europe.
Recent publications reveal a strong trend toward examining artificial intelligence applications in sustainability contexts, particularly regarding plastic circular economy and workplace technology adoption. His work consistently analyzes global value chain structures while emphasizing African industrial development, with significant focus on Ghana's garment industry regeneration and commodity certification systems. The research demonstrates methodological diversity spanning literature reviews, case studies, and empirical fieldwork across Sub-Saharan Africa.
- Fellow of the Higher Education Academy (FHEA)
Dr Botchie leads impactful research projects including the ITU-funded telemedicine ecosystem study across sub-Saharan Africa (2022-2023) and the Brunel-GCRF plant breeding initiative addressing food security in Ghana (2019-2021). His advisory work extends to major international organizations including the World Bank, UNDP, and FAO, with significant field experience across Ghana, Nigeria, Tanzania, and Uganda. Current research directions focus on AI-driven sustainability solutions and regenerative industrial systems in developing economies.
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