Monthly Corner
Laura Hughston - Blog
Arnoux Mouafo Nopi & Dimitri Tsona Zapzi - Article
Prof. Wangari Mwai and Prof. Catherine Ndungo - BOOK
- Understanding Gender and Identity Through The Gender Dictionary
Publisher: Bleeding Ink Scribes
RAI SENGUPTA - gender-transformative evaluation tools
This synthesis draws on evidence from 17 humanitarian evaluations across diverse crisis settings. It identifies key feminist evaluation innovations across four domains - design, methods, analysis, and ethics - illustrating how feminist principles can be embedded throughout the evaluation process. It also surfaces broader shifts required at policy, institutional, and practice levels to realise the transformative potential of feminist approaches in humanitarian contexts.
The toolkit translates these insights into applied guidance for evaluators and organisations. It provides step-by-step support across the full evaluation cycle, including planning, design, methods, analysis, ethics, and dissemination. Drawing on global feminist evaluation practice, humanitarian guidance, and gender evaluation standards, it includes adaptable tools, participatory and arts-based methods, guiding questions, and templates for field application.
Ritu Dewan & Swat Raju - Article
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In Promises & Reality 2026 Citizen’s Review of Year 2 of the NDA-III Government. Coordinated by Wada Na Todo Abhiyan, June 20, 2026. pp 94-100.
UTTHAN - Research Report
Traversing the path with women farmers in their fields and in our reflections/writings, a stark observation was the sheer lack of localized and regional vocabulary and terminology to adequately capture and communicate the understanding of climate change and mitigation strategies, informed by the unique experiences and needs of small and marginal women farmers. This is what propelled our research - to examine how women farmers perceive, express, experience, and respond to climate variability across
Our Research Report centres the lived experiences, generational knowledge, and resilience strategies of small and marginal women farmers from the coastal (Bhavnagar) and hilly (Dahod & Panchmahal) regions i.e two contrasting agro-climatic zones of Gujarat. Through their voices, the study reveals exactly how climate change intersects with gender, land rights, labour burdens, and food security.
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About the job
At Includovate, we are expanding our Pacific Research & Evaluation Talent Pool and inviting researchers, evaluators, consultants, and development practitioners to join a growing network of professionals committed to creating meaningful social impact.
As a feminist research incubator and certified social enterprise, Includovate works with partners including UNICEF, UNFPA, the ILO, governments, and development organisations across 23+ countries. Our work spans gender equality, social inclusion, health, disability, youth, climate, WASH, market systems, and other development priorities.
We are particularly keen to connect with experts from:
📍 Papua New Guinea
📍 Solomon Islands
📍 Vanuatu
📍 Timor-Leste
📍 Fiji
📍 Samoa
📍 Tonga
📍 Indonesia
📍 Australia
and across the wider Pacific region.
We welcome expertise in:
✓ Research, Monitoring, Evaluation & Learning
✓ Gender Equality & Social Inclusion
✓ Health & SRHR
✓ Disability Inclusion
✓ Youth Development
✓ Climate & Environment
✓ WASH
✓ Market Systems Development
✓ Governance & Community Development
Whether your expertise lies in data collection, research, evaluation, technical advisory, facilitation, or team leadership, we would love to hear from you.
By joining our Talent Pool, you become part of a trusted network of professionals who may be considered for future research, evaluation, advisory, and consulting opportunities across the Pacific region and beyond.
🔗 Register here: https://lnkd.in/eyF66S7H
How to conduct an overall endline for impact assessment when there is not baseline data for the control group?
We are trying to do an endline assessment to see the impact of the intervention. Before intervention we conducted a baseline (cross-sectional study) survey in the intervention area but unfortunately we do not have a baseline data from the control areas. During the endline assessment we also would like to include the control areas since we do not have a baseline data from the control areas. So in this circumstances how can we assess the real impact of the intervention. We would like to note that the intervention and control areas are in the same district but different sub-districts.
Replies to This Discussion
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Permalink Reply by Md. Irfan Hossain on
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Hi there,
In this case you can collect information from control areas and using Propensity Score Matching (PSM) method you can assess the impact of intervention even though you have not collected baseline information from the control areas. Hope it helps.
Cheers!
Irfan
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