The United Nations Secretary-General convenes the Transforming Education Summit this week, a key moment of the 77th United Nations General…
Following the Money: How One Organization is Using Data to Improve Aid Transparency on Gender Equality Programs￼
Stakeholders continue to dedicate financial resources to achieve gender equality—but financing alone is not enough. To make meaningful progress on gender equality and improve the efficacy of development aid, financing must be paired with comprehensive technical data on 1) where resources are going; 2) what these resources are used for; 3) how they are used and who benefits from them; and 4) what results they produce. Without this information, it is difficult to understand the impact of gender equality programs and improve the lives of women and girls.
Adding Value to Gender Data: How Mentoring and Building a Community of Data Users Can Enhance Journalists’ Ability to Communicate on Gender Issues
Journalists can help improve demand for gender data because they play a unique role as storytellers who can make sense of complex topics and engage the wider public. While journalists have the media presence, research, and writing skills to report on gender data in a smart, digestible way, they may need more advanced visualization and specialized technical skills and a community in which they can find support in these areas. To help address this problem, Equal Measures 2030 and Tableau Foundation launched the Fellowship for Data Journalists at the Reykjavik Global Forum for Women Leaders in 2020.
Gender data is a challenge to environmentalists—it can be difficult to collect, it requires dedicated financing, and for many years, there was no clear space that brought people and resources together to address it. This was until the Gender and Environment Data Alliance (GEDA) formed to advance gender-just climate action. Formed by the Women’s Environment and Development Organization (WEDO) and International Union for Conservation of Nature (IUCN), the group brings together a coalition of diverse multi-stakeholder partners to improve accessibility, understanding and application of gender-environment data.
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