AI in Crisis & Emergency Management
Overview
In a crisis, decision makers need accurate information quickly. This course explores how AI supports emergency and crisis management: monitoring threats, building situational awareness, allocating resources, communicating with the public and learning after the event, while recognising the limits of technology under pressure.
Who should attend
Emergency and crisis managers, civil defence and public safety officers, business continuity managers, and municipal emergency teams.
Training methodology
Interactive presentations, live demonstrations of AI tools, hands-on exercises using participants' own work examples, case studies, group discussion, and a personal action plan.
Objectives
By the end of this course, participants will be able to:
- Use AI for threat monitoring and early detection
- Build situational awareness from multiple data sources
- Support resource allocation and logistics decisions
- Use AI in crisis communication responsibly
- Plan AI capabilities within emergency management systems
Course outline
Day 1AI and Emergency Management
- Phases of emergency management
- AI capabilities and limits
- Data sources in crises
- Examples
- Coordination between agencies
- Lessons from recent disasters
Day 2Monitoring and Early Detection
- Weather and hazard data
- Social media monitoring
- Alert systems
- Exercise
- Risk maps
- Warning communication
Day 3Situational Awareness
- Combining maps, reports and sensors
- Damage assessment from images
- Decision support dashboards
- Simulation
- Drones and satellite imagery
- Information management
Day 4Response and Communication
- Resource allocation support
- Logistics and routing
- Public information and rumours
- Case study
- Shelter and supply planning
- Volunteer coordination
Day 5Recovery and Learning
- After-action analysis
- Preparedness planning
- Ethics and accountability
- Capability plan
- Investment priorities
- Exercise programme
