7 Topics
5 Days
35 Sessions
Programme Overview
Training Description
Session Objectives
- Understand the role of technology in enhancing disaster resilience Identify key innovations transforming disaster risk management Apply digital tools in early warning and emergency preparedness Use geospatial technologies for hazard mapping and risk analysis Leverage AI, drones, and data analytics in response and recovery Promote smart infrastructure and resilient urban systems
About the Course
Technology and Innovation in Disaster Resilience is a forward-looking training course designed to equip disaster management professionals, emergency responders, policymakers, technology leaders, and resilience practitioners with the knowledge required to harness emerging technologies and innovative approaches to strengthen disaster preparedness, response, recovery, and long-term resilience.Participants will explore how technology can improve hazard monitoring, risk assessment, early warning, emergency communication, resource allocation, damage assessment, search and rescue coordination, humanitarian logistics, and post-disaster recovery. The programme also considers the challenges associated with technology adoption, including data privacy, cybersecurity, digital inequality, interoperability, infrastructure limitations, and ethical considerations.Through case studies, technology demonstrations, scenario-based exercises, and innovation workshops, participants will develop practical strategies for integrating technology into disaster resilience frameworks and designing innovative, scalable, and inclusive solutions for disaster risk reduction.
Curriculum & Topics
7 Topics | 35 Sessions
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Workshop 1.1:
Overview of digital transformation in disaster resilience
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Workshop 1.2:
Frontier technologies and their relevance to DRR
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Workshop 1.3:
Landscape of innovation: AI, IoT, drones, and robotics
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Workshop 1.4:
Global tech initiatives supporting disaster resilience
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Workshop 1.5:
Future trends in disaster risk technology
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Workshop 2.1:
Multi-hazard early warning systems and integration platforms
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Workshop 2.2:
Predictive modeling and real-time risk forecasting
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Workshop 2.3:
Machine learning and big data applications in alert systems
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Workshop 2.4:
Community alerts via mobile and cloud-based systems
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Workshop 2.5:
Case examples of AI-driven early warning deployments
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Workshop 3.1:
Role of smart technologies in resilient urban planning
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Workshop 3.2:
Digital twins for risk simulation and planning
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Workshop 3.3:
Sensor-enabled infrastructure and real-time monitoring
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Workshop 3.4:
Retrofitting and innovation for resilient public utilities
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Workshop 3.5:
Integrating climate resilience into smart city frameworks
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Workshop 4.1:
Use of GIS and satellite data in hazard identification
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Workshop 4.2:
Drones for damage assessment and terrain mapping
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Workshop 4.3:
Spatial data layers for exposure and vulnerability analysis
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Workshop 4.4:
Mapping critical infrastructure and lifelines
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Workshop 4.5:
Open-source platforms for community-based mapping
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Workshop 5.1:
Blockchain for transparent aid distribution
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Workshop 5.2:
Digital IDs and registries for displaced populations
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Workshop 5.3:
Autonomous delivery and logistics tracking
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Workshop 5.4:
Mobile technologies for field communication and coordination
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Workshop 5.5:
Optimizing resource flows through digital supply chains
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Workshop 6.1:
Co-creating solutions with local communities
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Workshop 6.2:
Low-tech and accessible innovation for last-mile resilience
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Workshop 6.3:
Gender-responsive and disability-inclusive tech design
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Workshop 6.4:
Bridging the digital divide in disaster settings
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Workshop 6.5:
Digital storytelling and participatory mapping tools
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Workshop 7.1:
Data privacy and protection in digital disaster systems
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Workshop 7.2:
Regulatory frameworks for technology adoption
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Workshop 7.3:
Institutional readiness and cross-sector collaboration
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Workshop 7.4:
Ethical dilemmas in AI and surveillance tech
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Workshop 7.5:
Building innovation ecosystems for long-term resilience
