EVIDENCE-BASED DECISION SUPPORT

The Solution

An integrated ecosystem combining artificial intelligence, satellite remote sensing, geospatial dashboards, real-time APIs, and a virtual assistant to support public policy design for Food and Nutrition Security in Latin America.

Work Packages

Data Architecture

Identification and standardization of variables across scales; development of indicators
Analysis of spatial patterns and factors associated with Food and Nutrition Security pillars
Geospatial characterization of community food environments: individual (socioeconomic), environmental (water/food access & availability; physical-climate), political (public policies linked to health and food)
Integration of environmental conditions via satellite data
Evaluation of vulnerability and resilience to climate change

AI Model Training

Definition and development of a FNS metric; training and validation of predictive AI models
Simulation of future scenarios at 10, 30, and 50 years based on climate change and public policy interventions

Climate and Public Policy Scenario Simulator

Build an interactive and dynamic dashboard capable of simulating future scenarios based on climate change and policy interventions
Enable decision-makers to explore different intervention pathways and their projected impacts on Food and Nutrition Security

Virtual Assistant

Implement a virtual assistant (chatbot) powered by a GPT-style generative model to help users access and interpret dashboard outputs and simulations
Execute dashboard models in the background
Provide automated responses and personalized recommendations for decision-makers in real time

Our Dashboard

Multi-Country Implementation

6 countries across Latin America participating in data collection and model training