Monthly Corner

 IDH Publication, 2026

Gender-Based Violence (GBV) is not just a social issue, it’s a systemic challenge that undermines agricultural value chains.

In rural and isolated areas, GBV threatens women’s safety, limits their economic participation, and weakens food security. When women cannot work safely, entire communities lose resilience, and businesses lose productivity. Climate resilience strategies that overlook gendered risks leave communities exposed and women vulnerable.

Ending GBV is essential for building equitable, sustainable, and climate-resilient agri-food systems; and it’s not only a human rights imperative, but also central to climate adaptation and economic stability.

The good news? Solutions work. Programs like the Women’s Safety Accelerator Fund (WSAF) demonstrate that addressing GBV can enhance productivity and strengthen workforce morale and brand reputation. Safe, inclusive workplaces aren’t just good ethics, they’re smart business.

Gurmeet Kaur Articles

Luc Barriere-Constantin Article

 This article draws on the experience gained by The Constellation over the past 20 years. It is also a proposal for a new M&E and Learning framework to be adopted and adapted in future projects of all community-focused organisations.

Devaka K.C. Article

Sudeshna Sengupta Chapter in the book "Dialogues on Development edited by Prof Arash Faizli and Prof Amitabh Kundu."

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!

Ethical Artificial Intelligence: An introduction to machine learning for social impact

Event Details

Ethical Artificial Intelligence: An introduction to machine learning for social impact

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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Event Description

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.

Comment Wall

Comment by Fatimata Ouilma SINARE on May 8, 2023 at 17:46

I really appreciate this great initiative and I would like to participate in. 

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