Girls' Education Challenge - Working Paper, 2024
Making the case for continued investment in the education of at-risk and out-of-school girls, By - Alicia Mills, Emma Sarton and Dr Sharon Tao
SIAS Publications, 2024
Ellen Hagerman and Ai-Ju Huang - Blog, December 2024
IEG & World Bank Group Publication - 2024
This evaluation assesses World Bank Group support to address gender inequalities between fiscal years 2012 and 2023.
IEG & World Bank - Blog
A new evaluation of a decade’s worth of World Bank Group support for gender equality offers insights and lessons to inform the implementation of the institution’s ambitious, new gender strategy.
Utthan & Edel Give Foundation Publication - 2024
This zine, commissioned by Utthan and supported by EdelGive Foundation, captures the essence of a qualitative evaluation,Transformative Narratives: Storytelling for Evaluation and Organizational Learning through a Gender Justice Lens, of a multi-themed project implemented by Utthan over 2021-2024. Piloting Storytelling as a means of Learning & Evaluation has been of immense value to us as a team and the communities we serve.
March 4, 2025 at 6pm to March 6, 2025 at 7pm – Europe
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Time: May 15, 2023 at 6pm to May 24, 2023 at 7pm
Location: Online
Website or Map: https://cynara.co/trainingsto…
Event Type: training, (fee-based, with, limited, scholarships, available)
Organized By: Emily Springer
Latest Activity: May 11, 2023
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Hi everyone! I'm running my ethical (i.e. feminist!) AI training again in case anyone is interested! This is specifically for professionals who work in gender and social inclusion and want an introduction to machine learning and social inequalities!
Learn the basics, gain skills, and build confidence to engage in social impact projects with machine learning components. If you work in gender & social inclusion support, proposal development, program design, backstopping, and other non-technical areas, this training is for you. In this 5-day interactive online course, we will learn how machine learning algorithms operate, review development use cases, and explore challenges around bias, ethics, and inclusion. We will finish with best practices and examples of harnessing the power of machine learning for gender equity and social inclusion. This course will empower you to represent gender equality, social inclusion, diversity, and equity concerns and propose solutions in machine learning discussions in your organization.
Check out the full details at Cynara Ethical AI!
Session 1: Intro to AI, inequalities, and machine learning models
Session 2: The digital divide and data inequalities
Session 3: Fairness and bias metrics and ethics statements
Session 4: Moving to practice
Session 5: Toward Ethical AI in Practice
Note to participants: (1) no statistics required! We will work from conceptual and layperson understandings and (2) we will use examples from data-rich U.S. to understand ethical concerns before applying these to international development and social sector cases.
I really appreciate this great initiative and I would like to participate in.
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