Applications of Data and AI for Development
This course introduces you to the role of Data and Artificial Intelligence (AI) in driving development outcomes. You will engage with real-world case studies to explore the practical and ethical implications of these technologies, building foundational skills in data interpretation with a strong emphasis on socially responsible decision-making.
Phase 1: Foundations
Build your conceptual foundation in data, AI, ethics, and development theory.
Phase 2: Application
Apply these ideas progressively through your ongoing capstone project.
View All 10 Modules
- Impact of AI on Development
- Proxy Variables
- Feedback Loops
- Innovation, Hype, & Harm
- Ethics, Ownership, & Licensing
- Evaluation & Peer Review
- Applying Data in Development
- Digital Equity in Development
- Human-Centred AI
- Adaptation & Realism
Learning Outcomes
- Explain principles of evidence-based decision-making.
- Apply data skills to analyse development datasets.
- Analyse implications of data outputs and manage ethical trade-offs.
- Evaluate and select appropriate methods for interpreting data.
Final Deliverable: Your progressive project will culminate in a comprehensive final report and presentation.