Lebanon Crisis Analytics Data Analysis Hub

Mercy Corps, Lebanon Crisis Analysis Team
Mercy Corps, Lebanon Crisis Analysis Team logo

The Lebanon Crisis Analytics Team's Data Analysis Hub (LCAT-DAH) is an interactive dashboard hosting market price predictions, Consumer Price Index (CPI) predictions, macroeconomic indicators, and LCAT's economic vulnerability score. The predictions are the only market and CPI price forecasts published for Lebanon and were presented to the Inter-Agency Standing Committee's Early Warning Analytical Group. The platform includes an interactive map visualizing the LCAT's Economic Vulnerability Score—the only vulnerability indicator publicly available at the municipality level—which Mercy Corps has used to identify locations for EU-funded multipurpose cash assistance. The project involved full-stack development with chained ML models predicting exchange rates, food prices, fuel costs, and minimum expenditure baskets.

The Challenge

Mercy Corps needed accurate, forward-looking economic indicators for Lebanon during an ongoing crisis, with predictions that could guide humanitarian cash assistance decisions. The system needed to integrate multiple data sources and provide accessible visualizations for non-technical stakeholders.

Our Solution

We developed a comprehensive analytics platform featuring AI-powered chained machine learning models that predict exchange rates, food prices, fuel costs, and minimum expenditure baskets. The interactive dashboard includes market and CPI forecasts—the only published predictions for Lebanon—along with an Economic Vulnerability Score map at the municipality level, enabling targeted humanitarian interventions.

Technologies Used

AI-Powered Predictive ModelsMachine Learning PipelinesInteractive Analytics DashboardsGeospatial Data VisualizationCloud-Based Data Processing

Key Outcomes

  • Created the only published market and CPI price forecasts for Lebanon
  • Enabled targeted EU-funded cash assistance through vulnerability mapping
  • Presented findings to Inter-Agency Standing Committee's Early Warning Analytical Group
  • Provided accessible analytics for humanitarian decision-making