THE CHALLENGE
Food and Nutrition Security Under Climate Change
The context in Latin America
In Latin America, climate change is outpacing food security responses. At Fundación InnovaComunidad, we developed SARA, an intelligent simulator that integrates AI, territorial data, and remote sensing to anticipate risks and prioritize interventions.
SARA transforms complex data into decision-making tools to identify vulnerable communities and evaluate strategies before implementation. With the support of MIT and Solve, we aim to strengthen this technological development and validate scalable pilots. Our goal is to turn evidence into an installed, replicable capacity that improves coordination between the state and civil society to protect those who need it most.
Why Current Approaches Fall Short
Fragmented Systems
Existing approaches to FNS remain siloed and disconnected. Data on climate, nutrition, socioeconomic factors, and policy interventions exist in separate systems, preventing decision-makers from seeing the full picture.
The “Last Mile” Problem
There is a critical need to integrate AI, geospatial intelligence, and satellite data into a cohesive system that public policy decision-makers can actually use. The gap between advanced technology and actionable policy remains wide.
Why This Matters
Aligned with United Nations Sustainable Development Goals
SDG 2
Zero Hunger
SDG 3
Good Health and Well-bein
SDG 6
Clean Water and Sanitation
SDG 10
Reduced Inequalities
SDG 13
Climate Action