Regional e-Learning on Gender in DRR Launched
Women, girls, boys, men, and persons with non-binary gender identities of various backgrounds and abilities, have different roles, responsibilities, capacities, and access to resources. All these factors influence how hazards affect them, as well as how they recover and move on after disasters. A gender-equal and socially inclusive approach to DRR requires us to change the way we think, and the way we work.
To enhance knowledge and capacity on these approaches, ADPC in collaboration with Swedish Civil Contingencies Agency (MSB) developed the “E-learning Course on Gender in Disaster Risk Reduction”. The course is designed to provide valuable resource on key concepts, build capacities for better programming and implementation of DRR and CR policies in a more gender and rights responsive way.
The course adopts a blended learning approach, comprised of online modules, assignments, quizzes, and learning videos. Through four modules, participants will learn:
- Why gender equality and social inclusion are key components of DRR
- What gender perspective means in the context of DRR
- Critical steps for conducting gender analysis in DRR
- How to apply a gender perspective to all priorities of the Sendai Framework
- Principles of equal participation in DRR
Learners will also be guided on applying gender and social inclusion on the four priorities of the Sendai Framework for Disaster Risk Reduction (SFDRR), which calls for equal and meaningful participation of all stakeholders to reduce disaster risks. Gender analysis and using sex-age disaggregated data (SADD) are also covered among topics to demonstrate putting gender at work in DRR programs and projects, to understand and effectively address differential exposure and vulnerability from a gender lens.
Successful participants will be provided with a course certificate.
REGISTRATION:
Interested persons can register online at: https://courses.adpc.net/courses
FOR MORE INFORMATION:
Please contact ADPC Acadamy – academy@adpc.net
Or Scan QR Code
