🎯 Early Warning Model Builder
Build and test predictive models for floods, droughts, conflicts, and displacement - no coding required
1
Select Template
2
Configure Data
3
Set Parameters
4
Test Model
5
Review & Export
Step 1: Select Your Model Template
Choose a pre-configured template based on the type of crisis you want to predict
Flood Prediction
Predict flooding events using precipitation data, river levels, and topography
10-day forecast lead time
Integrates satellite & gauge data
Population impact estimation
Drought Forecasting
Monitor and predict drought conditions using vegetation indices and rainfall patterns
3-month seasonal outlook
NDVI & soil moisture analysis
Agricultural impact scoring
Conflict Early Warning
Detect escalation risks by analyzing event patterns, news sentiment, and social indicators
Multi-source event tracking
Sentiment & trend analysis
Hotspot identification
Displacement Prediction
Forecast population displacement using conflict data, hazard indicators, and migration patterns
Multi-hazard integration
Population flow modeling
Shelter needs estimation
Step 2: Configure Data Sources
Select the data sources that will feed your early warning model
💡 Select at least 2 data sources for a robust model. More sources improve prediction accuracy.
Primary Data Sources
Model Configuration
Define the geographic scope of your model
How often should the model update predictions?
Amount of historical data used to train the model
Step 3: Tune Model Parameters
Adjust sensitivity and thresholds to optimize your model's performance
💡 Higher sensitivity catches more events but may increase false alarms. Balance based on your use case.
Step 4: Test Your Model
Run simulations to validate your model's predictions
Test Scenario Inputs
Predicted Risk Level
HIGH
Probability: 78%
Lead Time
7 days
Advance warning period
Affected Population
~45K
Estimated impact
Model Accuracy
83%
Historical performance
✓ Model Validation Complete: Your model shows strong predictive performance. Review parameters and proceed to export.
Step 5: Review & Export Your Model
Review your model configuration and export for implementation
📋 Model Overview
Model Type: -
Geographic Coverage: -
Data Sources: -
Update Frequency: -
⚙️ Model Parameters
📊 Performance Metrics
Estimated Accuracy: 83%
False Positive Rate: 12%
Lead Time: 7 days
✓ Model Ready! Your early warning model is configured and validated. Export the specifications to begin implementation.