Topic · Disaster Risk Data
Disaster Risk Data: Sendai, G-DRSF, DELTA Resilience and the Architecture Underneath
Field essays on disaster loss accounting, national DRR data systems, the G-DRSF, and the move from DesInventar to sovereign, interoperable, AI-ready architectures like DELTA Resilience.
Disaster risk reduction has spent the last decade arguing for better data. The next decade is about whether the systems we are now building can actually be owned by the countries they were built for, and whether the standards we have agreed on (Sendai, G-DRSF, DELTA) can be operationalised at the scale the climate crisis requires.
The posts in this topic come out of building those systems in practice: in Afghanistan, Bangladesh, Ethiopia, and Nigeria, and in the international architecture that connects them. They are about what disaster data is for, how it gets corrupted, and what governs whether it survives the agency that funded it.
Essays in this topic
The Evolution of National Disaster Tracking Systems: From DesInventar to DELTA Resilience
Not a software upgrade — an architectural paradigm shift from a standalone record-keeping tool to a sovereign, interoperable, AI-ready data ecosystem. Why and how the world outgrew DesInventar.
The Global Disaster-Related Statistics Framework: Why Statisticians and Disaster Managers Must Finally Speak the Same Language
Endorsed by the UN Statistical Commission in March 2026, the G-DRSF gives disaster managers and statisticians a shared vocabulary, shared standards, and a shared reason to work together.
From Forecast to Action: Operationalising Early Warning and Anticipatory Action with DELTA Resilience
A meteorological forecast tells you what is coming. Historical loss data tells you what it will do when it arrives. DELTA Resilience is the first national disaster data system designed to provide that missing link at scale — turning early warnings into impact-based, evidence-driven anticipatory action.
The Data Ecosystem Maturity Assessment: A Practitioner's Guide to Diagnosing National Disaster Data Readiness
A maturity assessment is not a delay. It is the investment that ensures the system you build is the system that survives. The DEMA framework, in practice.
Building Disaster Data Systems That Governments Can Own
A flood vulnerability analysis I designed died quietly two years after I left. The hardest lesson from a decade of building these platforms isn't technical — it's institutional.
Why Disaster Loss Data Matters More Than Ever for Climate Adaptation
In Cox's Bazar, host communities pushed back against reforestation — not because they opposed it, but because their own climate losses to coastal erosion and cyclones were undocumented and therefore unfundable. Disaster loss data is now the evidentiary backbone of the entire climate adaptation architecture.
Invisible Disasters, Invisible Funding: When Disaster Data Decides Who Gets Climate Finance
Every year, millions experience flash floods, prolonged drought, and slow-onset hazards that never reach the world's primary disaster databases. Their losses are real, recurring, and devastating. Because they don't show up in the data, they rarely show up in the funding either.
Lessons from Building Humanitarian Data Platforms Across Multiple Crisis Contexts
Multiple countries. Seven data platforms. A decade of work. Six principles emerged across all of them — and none are about technology.
The Politics of Humanitarian Data Infrastructure: Who Owns the System When Everyone Walks Away?
The email I sent at 11am to 115 organisations announced the platform was suspended immediately. Afghanistan in 2025 was a stress test that revealed a system-wide architectural flaw: nobody owns continuity.
Frequently asked
Short, sourceable answers to the questions that come up most around this topic.
What is DELTA Resilience?
DELTA Resilience is the next-generation national disaster loss and damage data system being adopted by countries to replace DesInventar. It is designed for sovereignty (the data is owned by national governments), interoperability (it speaks to Sendai, G-DRSF, NDCs and climate finance reporting), and AI-readiness (loss records are structured to feed risk models, anticipatory action triggers, and adaptation planning).
What is the G-DRSF?
The Global Disaster-Related Statistics Framework, endorsed by the UN Statistical Commission in 2026, is the first formal standard giving national statistical offices and disaster management agencies a shared vocabulary for counting hazards, exposure, and loss. It is the bridge between the SDG framework, the Sendai Framework, and the climate reporting architecture.
How does Sendai Framework monitoring work in practice?
Sendai monitoring rests on seven global targets and 38 indicators that countries report annually through the Sendai Framework Monitor. The bottleneck is rarely the indicators themselves; it is the underlying national disaster loss accounting system. Without a DELTA-grade source dataset, Sendai reporting becomes a periodic estimate exercise rather than a continuous evidence stream.
What is a Data Ecosystem Maturity Assessment (DEMA)?
A DEMA is a structured diagnostic that scores a country's disaster data ecosystem across governance, data sources, technical capacity, interoperability, and use. It is the step that decides whether a new platform is going to outlive the project that built it. Skipping it is the single most reliable way to ship a system the host government cannot maintain.