AI for Climate Risk & Disaster Coordination
The cost of fragmentation
The Caribbean experiences billions in disaster-related losses. A single major hurricane can erase 50–200% of a country’s GDP. Across the region, disasters have caused over $20 billion in economic losses, with recovery often taking years.
The challenge is not just the storm. It is coordination before, after and during.
Data is fragmented. Response is delayed. Insurance payouts take months. Resources are misallocated across islands. Systems operate in silos.
The testbed for global coordination
The Caribbean is one of the most climate-exposed regions in the world—and the most powerful testbed for solving coordination at scale.
If disaster coordination systems can work here, across multiple jurisdictions and constrained environments, they can scale globally.
What to build
Build systems that coordinate prediction, response, and recovery in real time:
Hurricane & Flood Prediction
Prediction tied directly to action — not just models, but triggers.
Hydrospatial Risk Intelligence
Water-aware risk systems combining flood, rainfall, and coastal data.
Parametric Insurance Triggers
Automated payouts based on live data. No claims process. No delays.
Cross-Island Emergency Logistics
Coordinate supply chains, pre-position relief, and optimize delivery across islands.
Climate Risk Scoring
Risk scoring tied to capital allocation — where investment should flow.
Infrastructure & Shelter Optimization
Model shelter capacity, infrastructure resilience, and evacuation routing.
Post-Disaster Damage Detection
Satellite and drone-based damage assessment with automated response routing.
Mobile Alert Systems
Real-time alerts to mobile phones across affected areas. High-impact use case.
Mobile alert systems (high-impact use case)
Teams may build public warning systems that deliver real-time alerts to mobile phones across affected areas. This could include:
- Geo-targeted emergency alerts based on live risk data
- SMS-based alert systems integrated with local carriers (e.g. Digicel, Flow)
- Next-generation cell broadcast systems for mass notification without user databases
- Evacuation routing and shelter guidance via mobile
- Real-time updates during active events
The opportunity is to move from delayed communication to instant, coordinated response at population scale.
Data layer
Teams will work with publicly available datasets. The challenge is not access—it is integration across systems that were not designed to speak to each other.
What strong teams do differently
Strong teams
Coordinate response.
Weak teams
Model risk.
The bar is not prediction accuracy. It is whether your system changes outcomes:
- Faster payouts
- Better resource allocation
- Real-time decision support
- Measurable reduction in response time
We are not looking for tools.
We are looking for systems that run.
The Caribbean is the testbed
Disasters will continue. Losses will increase.
What changes is how systems respond.
If coordination can be solved here, it can be solved anywhere.