Monthly Corner
Evaluation of UN Women’s Work on the Care Economy in East and Southern Africa
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Evaluation of UN Women's work on the Care Economy in East and Southern Africa - Evaluation Report
- Evaluation of UN Women's work on the Care Economy in East and Southern Africa - IN BRIEF
- Evaluation of UN Women's work on the Care Economy in East and Southern Africa - Annexes
A regional study of gender equality observatories in West and Central Africa, carried out by Claudy Vouhé for UN Women
Sources: UN Women
This regional study offers an inventory and analysis of the legal framework of gender observatories, their attributions, functions and missions. It is based on exchanges with 21 countries, in particular the eleven countries that have created observatories. It compares the internal organisation and budgets of the observatories between countries, looks at operational practices, in particular the degree of involvement in the collection and use of data, and identifies obstacles and good practices in terms of influencing pro-gender equality public policies. Finally, the study draws up a list of strategic recommendations intended for observatories, supervisory bodies and technical and financial partners.
MSSRF Publication - November 2025 - Shared by Rajalakshmi
Ritu Dewan - EPW editorial comment on Labour Codes
Eniola Adeyemi Articles on Medium Journal, 2025
An analysis of the “soft life” conversation as it emerges on social media, unpacking how aspirations for ease and rest intersect with broader socio-economic structures, gendered labour expectations, and notions of dignity and justice
Tara Prasad Gnyawali Article - 2025
This article focused on the story of community living in a wildlife corridor that links India and Nepal, namely the Khata Corridor, which bridges Bardiya National Park of Nepal and Katarnia Wildlife Sanctuary of Uttar Pradesh, India.
This article revealed how the wildlife mobility in the corridor affects community livelihoods, mobility, and social inclusion, with a sense of differential impacts on farming and marginalised communities.
Lesedi Senamele Matlala - Recent Article in Evaluation Journal, 2025
Events
Vacancies
Vacancy | GxD hub, LEAD/IFMR | Research Manager
Hiring a Research Manager to join us at the Gender x Digital (GxD) Hub at LEAD at Krea University, Delhi.
As a Research Manager, you will lead and shape rigorous evidence generation at the intersection of gender, AI, and digital systems, informing more inclusive digital policies and platforms in India. This role is ideal for someone who enjoys geeking out over measurement challenges, causal questions, and the nuances of designing evaluations that answer what works, for whom, and why. We welcome applications from researchers with strong mixed-methods expertise, experience designing theory or experiment based evaluations, and a deep commitment to gender equality and digital inclusion.
Must-haves:
• 4+ years of experience in evaluation and applied research
• Ability to manage data quality, lead statistical analysis, and translate findings into clear, compelling reports and briefs
• Strong interest in gender equality, livelihoods, and digital inclusion
• Comfort with ambiguity and a fast-paced environment, as the ecosystem evolves and pivots to new areas of inquiry
📍 Apply here: https://lnkd.in/gcBpjtHy
📆 Applications will be reviewed on a rolling basis until the position is filled.
So sooner you apply the better!
Query: Creative ways of collaborative qualitative data analysis
Dear All,
I am reaching out for your insights. The group has set the objectives of the review. they will design the process, collect data, analyse and disseminate. I plan to facilitate online participatory data analysis with a group of about 15-20 staff members from different organisations. The study is qualitative. I have facilitated group data analysis a few times, but would like to go a bit deeper.
Any creative ideas/experiences on collaborative data analysis would be very welcome!
Thanks and regards,
Rituu
Photo courtesy https://www.canstockphoto.com/teamwork-entrepreneurs-engaged-in-811...
Replies to This Discussion
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Permalink Reply by Deborah McSmith, MPH on
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If you are using a common data set and conducting a thematic analysis, you might assign various anticipated themes - based on the evaluation structure, questions and data content - to pairs or trios of participants, ask them to comb through the data prior to the call and be ready to report on highlights of findings relevant to their assigned themes.
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You might also provide participants with a summary template so that everyone's work is completed in a similar format and easy to merge or blend if that is a useful step.
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Permalink Reply by Rituu B Nanda on
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Thanks a lot Dr Deborah. What if the group arrived at the themes on their own as well?
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Better still if participants arrive at the themes on their own without being prompted. More realistic.
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Permalink Reply by Emily Regan Wills on
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I think generating themes is a really good idea. You might start out with soliciting actual stories, and then maybe have the participants draft "ideal-type" stories that demonstrate processes and outcomes? I'm thinking of user scenarios/stories from the design world. Usually you do them in the beginning, but it might be interesting to ask for them at the end, once the participants have seen how the thing you're evaluating really works!
If you're interested in soliciting narratives about why things worked or didn't, you could try doing a Five Whys style exercise. Or you could tweak this Unintended Consequences exercise to have participants investigate what were the consequences that weren't anticipated/part of the TOC, and try to get a causal narrative there. Ooh, I Like, I Wish, I Wonder might be a good structure for a go-around? (I really like HyperIsland Toolbox, as you can tell, even though everything needs to be flipped from being about business/design to be being about evaluation/community building...)
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You could invite participants to comb through specific (assigned) evaluation questions to look for themes within the findings related to those specific questions as a way to divide the work.
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Amazing suggestions, many thanks Dr Deborah!
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This is a super interesting question! I'm assuming the data already exists and the group will be analyzing it, not generating the data...
If what you want at the end is coded texts, I have used the free software Taguette to have many people coding the same transcripts - it can get a little funny if two people are in the document at the same time but otherwise works well.
You could also divide the analysis - ten questions for 20 people, each person gets a question, everybody looks at the material, and then you think-pair-share their analysis (each person thinks alone, they pair up with the other person/people doing their question and discuss, they present their analysis to the group and the whole group dialogues about it).
To what extent will you be determining what is being evaluated as you work together, or will everyone come to the conversation with an agreed-upon idea of what is being evaluated in the data?
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Amazing Emily! Am grateful. They will be generating the data. I would like the group to take on the role of decision making at each step.
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Permalink Reply by Mary Ann Castle on -
Hi
You could ask them to think about how cultural and organizational context influences (positively and challenging) their work -- Get them to tell "stories" -- that is conduct qualitative inquiry to obtain meaning and context to their responses. These "stories" are qualitative data and if you have the context you can compare across the organizations, staff lines, topical areas etc. Its callled "thick description" in anthropological inquiry.
Mary Ann Castle
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Thanks Mary Ann. Please would you give me a bit more on the - how cultural and organizational context influences (positively and challenging) their work.
I will love to use it. Am so grateful to you!
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Permalink Reply by Mary Ann Castle on
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also -possibly-the most important aspect would be to know who the participants are .. this will give you much information about how to analyze and understand their responses
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