This is event is available for participation on an ongoing basis
Undefined
The Hyogo Framework for Action, the global roadmap for disaster risk reduction from 2005 – 2015 recognizes both community participation and gender-sensitive disaster risk management.
This is event is available for participation on an ongoing basis
English
The Hyogo Framework for Action, the global roadmap for disaster risk reduction from 2005 – 2015 recognizes both community participation and gender-sensitive disaster risk management. Gender perspective is a cross-cutting principle of the Hyogo Framework for Action 2000 – 2015: on Building Resilience of Nations and Communities to Disaster, which states that:
This course aims at project staff, advisers, volunteers, women activist, humanitarian workers, disaster risk managers, gender desk officers and consultants, involved in facilitating integration of non discriminatory behaviour and equality between men and women. Candidates should have a good written command of English language and good competence and comfort with computer and internet use.
Is a certificate Issued?:
0
Training Requirements:
This is an online course, so you'll need to have a computer with an Internet connection, and you'll need a web-browser (you can use IE or FireFox). All the course materials you'll need to complete this course are provided in the course modules. You will not need to purchase any additional materials, resources, or books. You will also have the opportunity of experiencing the best online training platform.
Tuition Remarks:
US$300. There is a limited amount of partial scholarships available for this course for applicants from developing countries, based on financial need.
Date:
02/04/2014 to 23/05/2014
Registration Deadline:
Mon, 31/03/2014
Event Organisers:
Human Rights and Justice Group International (HRJGI)
The General Directorate of Agricultural Statistics and Forecast Branch (HPFB) is a central structure of the Ministry of Agriculture, Water Resources and Fisheries. One of its missions is to collect, process, analyse and disseminate statistics in the field of agriculture to better exploit the already existing statistics differentiated by gender.
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