Training Course On Disaster Risk Reduction
Training Course On Disaster Risk Reduction in Nairobi and Mombasa; Kenya
Disaster Risk Reduction (DRR) skills are fundamental to the process of increasing awareness on natural hazards and disaster risk reduction to key stakeholders with knowledge on disaster management to empower the actors to support their organizations in developing disaster resilient programs and projects.
The training equips learners with knowledge on fundamental concepts and tools for DRR. People-centered early warning systems empower communities to prepare for and confront the power of natural hazards and measurement of the systems in terms of lives saved and reduction in losses, which is directly related to the execution of an anticipated response by the people and institutions once a warning is issued.
Duration
5 days.
Who Should Attend?
The course is meant for mid-career professionals, dealing with climate change adaptation and mitigation options in developing countries, working for a research organization, NGO, government or civil society. Participants need to have a relevant tertiary education with at least one year of experience in a course-related discipline like agriculture, disaster risk management, food security, water management, biodiversity, forestry, or other natural resources management.
Course Objective
i. Understand disaster risk reduction concepts and DRR conceptual frameworks and institutional mechanisms
ii. Identify and understand the causes and impacts of various hazards locally
iii. Identify disaster risk reduction strategies and opportunities in programming
iv. Monitor programme inputs, processes and results required for management of DRR.
v. Understand concepts, methods, and tools for monitoring of DRR in Humanitarian response, emergency response and development Programs
vi. Conduct disaster Risk monitoring using appropriate methods and tools.
Course Content
Module 0: Course Introduction and Overview
Module 1: Disaster Risk Reduction Concepts and Frameworks
a. Disaster Risk Reduction Definitions and Concepts
b. Modeling Disaster Risk.
c. Rationale for Disaster Risk Reduction Interventions
d. Linking Disaster Risk Reduction with Emergency Interventions
Module 2: Disaster Risk Assessment and Analysis
a. Introduction to Disaster Risk Assessment
b. Hazard Assessment
c. Vulnerability and Capacity Assessment
d. Disaster Risk Assessment & Analysis
Module 3: Linking Disaster Risk Reduction, Climate Change Adaptation and Resilience Building to inform programming
a. Disaster Risk Reduction strategies
b. Climate Change Adaptation Building Resilience
Module 4: Mainstreaming Disaster Risk Reduction in coordination with partners and regional stakeholders
a. Mainstreaming Disaster Risk Reduction
b. Partnership and Coordination
Module 5: Conclusion
a. Community participation
b. Code of conduct in disaster response
c. Use GIS and GPS to gather data, collaborate and share information on DRR
Methodology
The instructor led trainings are delivered using a blended learning approach and comprises of presentations, guided sessions of practical exercise, web-based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in these fields.
Key Notes
i. The participant must be conversant with English.
ii. Upon completion of training the participant will be issued with an Authorized Training Certificate
iii. Course duration is flexible and the contents can be modified to fit any number of days.
iv. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and a Certificate upon successful completion of Training.
v. One-year post-training support Consultation and Coaching provided after the course.
vi. Payment should be done at least a week before commence of the training, to DATASTAT CONSULTANCY LTD account, as indicated in the invoice so as to enable us prepare better for you.
No | Start Date | End Date | Action |
---|---|---|---|
1. | 05/05/2025 | 09/05/2025 | Register |
4. | 27/01/2025 | 31/01/2025 | Register |
5. | 06/01/2025 | 10/01/2025 | Register |
6. | 02/06/2025 | 06/06/2025 | Register |
7. | 18/08/2025 | 22/08/2025 | Register |
8. | 07/07/2025 | 11/07/2025 | Register |
9. | 21/07/2025 | 25/07/2025 | Register |
10. | 07/04/2025 | 11/04/2025 | Register |
11. | 21/04/2025 | 25/04/2025 | Register |
12. | 03/02/2025 | 07/02/2025 | Register |
13. | 24/02/2025 | 28/02/2025 | Register |
14. | 16/06/2025 | 20/06/2025 | Register |
15. | 04/08/2025 | 08/08/2025 | Register |
16. | 19/05/2025 | 23/05/2025 | Register |
17. | 24/03/2025 | 28/03/2025 | Register |
18. | 03/03/2025 | 07/03/2025 | Register |
20. | 18/11/2024 | 22/11/2024 | Register |
21. | 02/12/2024 | 06/12/2024 | Register |
22. | 16/12/2024 | 20/12/2024 | Register |
23. | 01/09/2025 | 05/09/2025 | Register |
24. | 22/09/2025 | 26/09/2025 | Register |
25. | 06/10/2025 | 10/10/2025 | Register |
26. | 20/10/2025 | 24/10/2025 | Register |
27. | 03/11/2025 | 07/11/2025 | Register |
28. | 17/11/2025 | 21/11/2025 | Register |
29. | 01/12/2025 | 05/12/2025 | Register |
30. | 15/12/2025 | 19/12/2025 | Register |
College House , Along University Way , Nairobi, Kenya
+254724527104/ +254734969612
info@datastatresearch.org
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