7 Topics
5 Days
35 Sessions
Programme Overview
Training Description
- Business Continuity Professionals
- Crisis Management Professionals
- Government Disaster Management Officials
- Humanitarian and Development Professionals
- Climate Adaptation Specialists
- Insurance and Catastrophe Risk Professionals
- Critical Infrastructure Protection Specialists
- Researchers and Policy Analysts
- Professionals responsible for risk modelling, hazard assessment, forecasting, early warning, disaster preparedness, resilience planning, and data-driven risk management.
Session Objectives
- Understand key principles of multi-hazard risk assessment Identify and characterize multiple interacting hazards Analyze exposure and vulnerability within hazard zones Utilize geospatial and statistical tools for risk mapping Apply probabilistic and deterministic risk modeling techniques Interpret risk models to inform mitigation and planning Integrate climate and disaster risks into development projects Module 1: Fundamentals of Multi-Hazard Risk Assessment
About the Course
Multi-Hazard Risk Assessment & Predictive Modeling is an advanced training course designed to equip disaster risk professionals, emergency managers, planners, analysts, and decision-makers with the knowledge and practical skills required to identify, assess, model, and anticipate multiple and interconnected hazards.
The programme introduces practical applications of GIS, spatial analysis, historical data, statistical methods, scenario analysis, forecasting, early-warning indicators, and predictive analytics. Participants will examine how data-driven models can support risk prioritization, emergency preparedness, resource allocation, infrastructure planning, and strategic decision-making.
Through practical exercises, case studies, risk mapping activities, and scenario-based modelling, participants will develop the ability to translate complex hazard data into actionable risk intelligence and develop predictive risk management strategies.
Curriculum & Topics
7 Topics | 35 Sessions
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Workshop 1.1:
Concepts of hazard, exposure, vulnerability, and capacity
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Workshop 1.2:
Overview of global risk assessment frameworks and tools
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Workshop 1.3:
Importance of multi-hazard and systemic risk thinking
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Workshop 1.4:
Types of hazard interactions and compounding effects
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Workshop 1.5:
Steps in conducting a comprehensive risk assessment
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Workshop 2.1:
Geological, hydro-meteorological, biological, and technological hazards
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Workshop 2.2:
Spatial and temporal scales of hazard impact
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Workshop 2.3:
Hazard frequency, intensity, and probability mapping
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Workshop 2.4:
Data sources: satellite, historical, and field-based
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Workshop 2.5:
Tools for multi-hazard hazard layer creation
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Workshop 3.1:
Identifying exposed populations, assets, and systems
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Workshop 3.2:
Socioeconomic vulnerability indicators and proxies
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Workshop 3.3:
Fragility curves, damage functions, and resilience scoring
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Workshop 3.4:
Sector-specific vulnerability (health, housing, infrastructure)
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Workshop 3.5:
Mapping high-risk intersections of hazard and exposure
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Workshop 4.1:
Deterministic vs. probabilistic risk models
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Workshop 4.2:
Open-source and proprietary modeling platforms
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Workshop 4.3:
Monte Carlo simulations and scenario building
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Workshop 4.4:
Calibration and validation of risk models
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Workshop 4.5:
Interpreting uncertainty and model limitations
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Workshop 5.1:
Creating composite risk maps and indices
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Workshop 5.2:
Prioritizing risk zones and intervention areas
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Workshop 5.3:
Linking risk outputs to emergency response planning
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Workshop 5.4:
Supporting DRR investments and policy design
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Workshop 5.5:
Data storytelling and visual analytics for decision-making
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Workshop 6.1:
Integrating climate projections into hazard scenarios
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Workshop 6.2:
Downscaled climate modeling and dynamic risk mapping
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Workshop 6.3:
Sea-level rise, extreme events, and slow-onset hazards
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Workshop 6.4:
Cross-sector implications of climate-hazard overlap
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Workshop 6.5:
Adaptive planning based on climate-informed risk models
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Workshop 7.1:
Embedding risk assessments into national planning systems
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Workshop 7.2:
Building technical capacity for local risk modeling teams
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Workshop 7.3:
Data governance, sharing protocols, and standardization
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Workshop 7.4:
Collaborating across agencies and academic institutions
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Workshop 7.5:
Monitoring, updating, and institutionalizing model use
