Project Objective: Sustainable Development and Global Health
This project addresses the role of artificial intelligence and data science in advancing global health equity and supporting sustainable development goals (SDGs). We emphasize collaborative initiatives—particularly between Africa and Canada—to ensure AI technologies are developed and applied responsibly, inclusively, and in alignment with community needs.
Key Focus Areas
- AI and data science for SDGs: Applying AI to monitor, analyze, and support global health and development priorities across health systems, education, and climate adaptation.
- The Africa–Canada partnership: Building equitable data-sharing, research, and innovation collaborations that uplift local capacity while promoting global knowledge exchange.
- Responsible AI governance: Exploring the intersection of AI, policy, and ethics to ensure that digital technologies strengthen health system resilience and societal trust.
- Research translation: Bridging academic insight with real-world impact by transforming technical findings into tools, dashboards, and guidelines that serve governments, communities, and NGOs.
Outcomes
- Creation of AI solutions aligned with sustainable development and public health priorities.
- Enhanced global partnerships centered on equity, capacity-building, and innovation co-development.
- Informed policies for responsible AI and data governance in low- and middle-income countries (LMICs).
- Translation of research into accessible tools that drive progress in health and development programs.