Food Security and Policy Forecasting

Course Description

This micro-course shows how AI can forecast food security risks, simulate policy options, and guide timely aid decisions. You’ll learn where these models add value, their limits and ethical considerations, and how to turn outputs into practical actions for governments, NGOs, and supply chains.

Who Should Take This Course

Designed for policy teams, programme managers, analysts, risk officers, and operational leaders in governments, NGOs, multilaterals, and food supply chains. Ideal for decision-makers who need a clear, non-technical understanding of AI’s role in food security and policy planning.

Prerequisites

No prior experience needed. Familiarity with basic data concepts or spreadsheets is helpful but not required.

What You Will Learn

• Explain how AI models support global food risk modelling and early-warning systems.
• Interpret yield prediction signals to inform targeting and scale of aid distribution.
• Use AI-assisted scenario thinking to compare agricultural policy levers and trade-offs.
• Monitor geopolitical, climate, and market stressors with AI-driven indicators and dashboards.
• Assess model uncertainty, bias, and governance considerations to make responsible decisions.