• By the end of this course, participants will be able to:
  • Understand the basics of AI and machine learning
  • Identify and evaluate AI solutions for disaster management and disaster risk reduction
  • Develop and implement AI-powered disaster management strategies
  • Consider the ethical implications of using AI for disaster management

This course is designed for senior managers in government, the private sector, and non-profit organizations who are interested in learning more about how AI can be used to improve disaster management and disaster risk reduction. This training is suitable and will greatly benefit a wide range of professionals from many sectors. The training is intended for experienced professionals at an organization’s mid and top levels. The intended audiences are mid and top-level managers and senior engineers in charge of different tasks of supply management, human resources, communication, and technical task in an organization. It is also designed for anyone interested in disaster management at any level of an organization.

Day One:

• Introduction to AI and machine learning
• AI for disaster forecasting and early warning

• AI for disaster management and DRR overview

Day Two:

• AI for hazard assessment and risk mapping

• AI for disaster preparedness and mitigation

• AI for disaster response and recovery

Day Three:

• Case studies of AI in disaster management
• Ethical considerations in the use of AI for disaster management

• AI for disaster risk communication and public education
• AI for disaster risk financing and insurance

Day Four:

• Hands-on workshop: Developing an AI-powered disaster management strategy

• Leading and managing teams in the use of AI for disaster management and DRR

• Using AI to promote sustainable disaster risk reduction

Day Five:

• Capstone project: Participants will work in teams to develop and present a proposal for using AI to address a specific disaster management or DRR challenge in their organization.

• Course review and next steps

The course will use a mix of teaching methods, including lectures, case studies, group discussions, and workshops. Participants will have the opportunity to learn from experts in the field of climate resilience, as well as from their peers.