Disaster Risk Management
Disaster risk is no longer defined by a single hazard, a single place, or a single moment. Floods disrupt supply chains. Heat strains energy systems. Wildfires affect insurance markets. Infrastructure failures cascade across essential services. Disaster Science brings together risk science, climate intelligence, community knowledge, infrastructure, and emerging technologies to help organizations understand risk and act before disruption becomes disaster.
The Field Is Changing
Ten years after the Sendai Framework, the field is moving from hazard-specific planning toward integrated approaches to systemic, compound, and cascading risk. A flood becomes a public-health emergency. A hurricane becomes an economic crisis. A wildfire becomes an insurance crisis. A disrupted transportation network affects food, healthcare, energy, and local economies far beyond the original event.
The challenge is no longer asking what happens when a disaster strikes. It's asking how risk moves through the systems we depend on, and where we can intervene before it becomes a crisis. Disasters are events. Risk is a system.
What can happen?
What is in harm's way?
Who or what is most susceptible?
What resources exist to respond and adapt?
What happens when one system fails?
This is where Disaster Science operates: connecting scientific evidence with the human, environmental, economic, and infrastructure systems that determine how risk becomes impact.
The Cost of Waiting
UNDRR's 2025 Global Assessment Report estimates direct disaster costs at approximately $202 billion annually, but the true cost exceeds $2.3 trillion when cascading and ecosystem impacts are included. The burden falls disproportionately on developing countries.
Direct reported losses versus the true cost of disasters once cascading and ecosystem impacts are included.
Source: UNDRR, Global Assessment Report 2025.
The implication is fundamental. Risk reduction is not simply an emergency-management function. It's an investment decision, an infrastructure decision, a development decision, a financial decision, and a community decision.
Our Approach
Disaster Science approaches DRM as a continuous system, not a linear sequence. Each stage informs the next.
Identify hazards, exposure, vulnerability, capacity, and systemic dependencies.
Address underlying risk through mitigation, land-use planning, infrastructure, nature based approaches, and risk-informed investment.
Build organizational, community, and operational capacity before an event occurs.
Support coordinated decision-making when conditions change rapidly.
Restore critical functions while addressing the vulnerabilities that produced the original losses.
Use data, lessons learned, and changing conditions to continuously improve resilience.
Where We Work Across the Cycle
Multi-hazard risk assessment, hazard mitigation planning, nature based risk reduction, nature-gray integration, GIS & spatial analysis, cost-benefit analysis, resilience investment strategies.
Continuity planning, preparedness assessments, scenario planning, exercises & simulations, training & capacity development, critical systems analysis, resilience strategy.
Emergency operations planning, crisis management, incident coordination, situational awareness, decision support, emergency communications, after-action analysis.
Disaster recovery planning, recovery strategy, grant & funding support, Build Back Better planning, resilience investment, adaptive management, recovery monitoring & evaluation.
Risk Intelligence
UNDRR's Strategic Framework 2026–2030 identifies risk knowledge as a catalytic priority, fostering an open, interoperable, AI-enabled risk information ecosystem. Yet risk knowledge remains the least developed pillar of early warning systems globally. Less than one-third of all countries report having adequate risk knowledge capabilities.
Source: UNDRR/WMO, Global Status of Multi-Hazard Early Warning Systems 2025.
Floods · hurricanes · wildfire · extreme heat · drought · earthquakes · emerging hazards
People · buildings · infrastructure · businesses · critical facilities · supply chains
Social conditions · physical vulnerability · economic conditions · access to resources
Energy · water · transportation · healthcare · communications · food · housing
Community experience · historical knowledge · lived experience · place-based expertise
Climate projections · demographic change · development · infrastructure change
From Data to Decision
Maps alone don't create resilience. Data alone doesn't reduce risk. The value of disaster science comes from translating complex information into decisions that organizations and communities can act on.
What the Field Is Missing
The Early Warning Gap
The number of countries with a reported multi-hazard early warning system has reached a record high of 119, a 113% increase over ten years, and comprehensiveness has improved by 45% since 2015. But a warning is only useful if people receive it, understand it, trust it, and can act on it.
Disaster-related mortality in countries with comprehensive MHEWS capabilities, compared with countries with limited capabilities.
Source: UNDRR & WMO, Global Status of Multi-Hazard Early Warning Systems 2025.
The Protection Gap
As physical and systemic losses increase, governments, businesses, households, and communities increasingly carry risks that traditional insurance mechanisms cannot fully transfer.
"...the emergence of areas deemed too risky for insurance companies to cover."
— UNDRR, Global Assessment Report on Disaster Risk Reduction 2025
This is not simply a financial problem. It's a development problem, one that requires new approaches to risk transfer, risk reduction, and risk-informed investment.
Governance, Inclusion & Measurement
Risk Governance
Risk crosses organizational boundaries. Water departments manage water. Transportation agencies manage transportation. Emergency managers manage emergencies. But disasters move across all of them. Effective DRM requires connecting these systems before a crisis exposes the gaps between them.
Inclusive Resilience
A community can face the same hazard while experiencing very different levels of risk. Age, disability, income, housing, mobility, access to healthcare, social networks, language, and location all shape people's ability to prepare, receive warnings, evacuate, recover, and adapt. The 2025 Global Platform for Disaster Risk Reduction placed gender equality, accessibility, and inclusion at the center of its agenda: disasters disproportionately affect women, persons with disabilities, older people, and other at-risk groups. We integrate social vulnerability and community knowledge into risk analysis so resilience strategies are designed around people, not simply places or assets.
Measuring Resilience
Resilience is often discussed as an aspiration. We treat it as something that can be evaluated.
Has exposure decreased?
Has organizational capacity improved?
Can critical decisions be made under pressure?
How quickly can essential functions return?
Can the system adjust as conditions change?
Who benefits, and who remains at risk?
Resilience is continuous learning, not a finished product.
The Emerging Frontier
The organizations that lead in resilience will be those that engage with emerging practice before it becomes standard. These are the directions in which the field is moving, and where Disaster Science is actively exploring, integrating, and developing practice.
AI is shifting from faster computation to a new decision infrastructure for prevention. UNDRR's Strategic Framework 2026–2030 calls for an "open, interoperable and AI-enabled risk information ecosystem."
Countries are developing frameworks that release funds and trigger protective measures before the worst impacts begin.
The 2025 Global Platform highlighted nature based solutions as a key means of coherent implementation across DRR, climate, and biodiversity goals.
Managing one hazard at a time is no longer sufficient. We anticipate how risks interact across systems, sectors, and scales.
Satellite data, digital twins, real-time sensors, geospatial intelligence, and scenario modeling are transforming risk anticipation and decision support.
Source: UNDRR Strategic Framework 2026–2030.
Five Shifts Reshaping the Field
Why Disaster Science
A disaster doesn't respect sector boundaries. Neither should disaster risk management. We connect climate science, data intelligence, ecological function, infrastructure resilience, social vulnerability, and operational decision-making to understand how risk moves through systems, and where it can be changed.
Whether you're assessing climate exposure, designing a resilience strategy, or looking to integrate emerging technology into existing risk management, the first step is understanding the opportunity. We'll respond within two business days.