Research and data analysis on women’s management and socio-economic rights in family businesses (UAE)

Contract

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The gender team at UNDP is looking for online volunteers to support in the review and generation of existing legal and policy evidence which can inform policy on women as defacto co-managers in family businesses. The volunteers will: 1) Contribute to generating data and understanding of spousal co-management of fisheries and other family business. 2) Identify good spousal co-management practices adopted by other small family businesses which can inform legislation and policy framework (evidence-based policy making) on family businesses as a mechanism for enhancing social protection and jobs for women co-managers. 3) Identify implementation and monitoring opportunities and challenges of fisheries law related to spousal co-management and how these challenges are being addressed?

• COVID-19 Response

• Other communications related experience

  Gender inequalities are one of the major causes of poverty worldwide. Around 70 percent of the world’s poor are women, of which the majority are rural women from developing countries. The gender team at UNDP is undertaking a mapping exercise to identify existing legislation and policy frameworks on women as co-managers and co-owners in family business/farms including fisheries. UNDP is undertaking a mapping exercise to identify and analyse existing legislation and policy frameworks on women as co-managers and or co-owners in family businesses from small-scale fisheries to small shops, farms and industries. The process includes mapping and analysing past and or present measures on the creation by law of the figure of the business co-manager, identify the good practices and lessons learned which can inform policy and or legislation to promote job creation ensure social protection of women within the context of the different regions and country contexts.

• Volunteers: 5 needed

• 6-10 hours per week / 5 weeks

  Candidates need to be fluent in Arabic and English. Experience in qualitative data analysis and research. Familiarity and expertise with gender are considered an asset.

• Global

• English, Arabic