Participatory Approaches for Disaster Preparedness and Response Planning - principles and practice

Participatory approaches in disaster preparedness and response planning are increasingly recognised as a cornerstone of effective disaster risk management. Technical solutions alone are not enough if they are not aligned with local knowledge, capacities, and needs.
This course introduces the Participatory Approaches for Disaster Preparedness and Response Planning, developed by CIMA Research Foundation within the MedEWSa project. It is a structured yet flexible framework that places communities at the centre of preparedness and response planning processes. You will explore why participation matters, how it can be meaningfully implemented, and how its results can be evaluated and sustained over time.

Level: Fundamentals
Certification course: No
What you'll learn:

By the end of this course, participants will be able to:
• Understand the rationale and value of participatory processes
• Apply the 9 guiding principles for inclusive and effective participation
• Design, implement, and evaluate a participatory disaster preparedness and response
planning process
• Translate community inputs into practical recommendations

Prerequisites:

Target audience
• Local authorities and civil protection officers
• NGOs and community-based organisations
• Practitioners working on DRM, DRR, and climate adaptation
• Researchers and students in disaster risk management with interest in participatory
approaches

Full description:

Course structure
• Module 1: Why Participatory Disaster Preparedness and Response Planning Matters?
• Module 2: Foundations of Participatory Approaches Disaster Preparedness and
Response Planning
• Module 3: The 9 Guiding Principles for Participatory Disaster Preparedness and
Response Planning
• Module 4: Before a Participatory Process - Assessing feasibility in a specific context
• Module 5: During a Participatory Process - Engage your community
• Module 6: After a Participatory Process - Communicate the outcomes to the wider
community

Estimated duration: 1 hour
Hide last updated info: Yes
Hide number of enrollments: Yes
Hide full description label: No
Atmospheric composition: No
Climate: No
Computing services and tools: No
Data applications: No
Forecasting: No
Machine learning: No
Numerical weather prediction: No