Training Course on Mainstreaming Gender for Disaster Risk Management
Training Course on Mainstreaming Gender for Disaster Risk Management; Nairobi and Mombasa, Kenya
Gender plays a crucial role in shaping vulnerabilities, capacities, and responses during disasters. Women, men, girls, and boys experience disasters differently, often due to societal norms and inequalities. Mainstreaming gender in disaster risk management (DRM) ensures that policies, plans, and actions address these differences and promote equitable outcomes. The Mainstreaming Gender for Disaster Risk Management Training Course equips professionals with the tools and strategies needed to integrate gender perspectives into all aspects of DRM.
This course highlights the importance of gender-sensitive approaches in disaster preparedness, response, recovery, and mitigation. Participants will explore frameworks and best practices for analyzing gender dynamics in disaster scenarios and learn how to design interventions that empower all genders, especially marginalized groups, in disaster-affected communities.
Through interactive sessions and real-world case studies, the course emphasizes building inclusive DRM systems that enhance resilience and reduce vulnerabilities. Participants will learn to apply international standards, such as those set by the Sendai Framework for Disaster Risk Reduction, to mainstream gender into their projects and policies.
Course duration
5 Days
Course Objectives
Organizational Benefits
Target Participants
Course Outline
Module 1: Introduction to Gender and Disaster Risk Management
Module 2: Gender Analysis in Disaster Contexts
Module 3: Gender-Responsive Disaster Preparedness
Module 4: Addressing Gender in Disaster Response
Module 5: Gender and Recovery Strategies
Module 6: Advocacy and Policy Development for Gender and DRM
Training Methodology
This course employs a participatory and hands-on approach to ensure practical learning, including:
Register as a group from 3 participants for a Discount
Send us an email: info@datastatresearch.org or call +254724527104
Certification
Upon successful completion of this training, participants will be issued with a globally- recognized certificate.
Tailor-Made Course
We also offer tailor-made courses based on your needs.
Key Notes
a. The participant must be conversant with English.
b. Upon completion of training the participant will be issued with an Authorized Training Certificate
c. Course duration is flexible and the contents can be modified to fit any number of days.
d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.
e. One-year post-training support Consultation and Coaching provided after the course.
f. 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 |
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1. | 16/12/2024 | 20/12/2024 | Register |
6. | 19/05/2025 | 23/05/2025 | Register |
7. | 02/06/2025 | 06/06/2025 | Register |
8. | 16/06/2025 | 20/06/2025 | Register |
9. | 07/07/2025 | 11/07/2025 | Register |
10. | 21/07/2025 | 25/07/2025 | Register |
11. | 04/08/2025 | 08/08/2025 | Register |
12. | 18/08/2025 | 22/08/2025 | Register |
13. | 08/09/2025 | 12/09/2025 | Register |
14. | 22/09/2025 | 26/09/2025 | Register |
15. | 07/04/2025 | 11/04/2025 | Register |
16. | 17/02/2025 | 21/02/2025 | Register |
17. | 03/03/2025 | 07/03/2025 | Register |
18. | 24/03/2025 | 28/03/2025 | Register |
19. | 03/02/2025 | 07/02/2025 | Register |
20. | 20/01/2025 | 24/01/2025 | Register |
21. | 06/10/2025 | 10/10/2025 | Register |
22. | 21/04/2025 | 25/04/2025 | Register |
23. | 05/05/2025 | 09/05/2025 | Register |
25. | 06/01/2025 | 10/01/2025 | 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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