Artificial Intelligence for Disaster Management and Disaster Risk Reduction- Online
Introduction:
The participants will learn about AI for disaster response and recovery, ethical considerations in the use of AI for disaster management, lead and manage teams in the use of AI for disaster management and DRR. The course will provide senior managers with the knowledge and skills they need to effectively use AI to improve their organizations’ disaster management and DRR programs. Upon successful completion of the course, participants will receive a certificate of completion from the course provider.
- This course is designed to provide senior managers with a comprehensive understanding of how artificial intelligence (AI) can be used to improve disaster management and disaster risk reduction. The course will cover a range of topics, including:
- The basics of AI and machine learning
- AI for disaster forecasting and early warning
- AI for hazard assessment and risk mapping
Objective
- 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
Target Audience
- 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.
Content
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
Training Methodology
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.
Important Links
What is included?
- State-of-the-art virtual (online) meeting platform.
- Advanced Learning Management System (LMS) tools.
- Subject-matter expertise delivered by practising Management Consultants
- Course material (Soft copy)
- Virtual Networking Sessions
- Accredited Certificates of Completion Will be awarded
