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!

Pre-EES2018 workshop - An introduction to prediction modelling, using EvalC3

Event Details

Pre-EES2018 workshop - An introduction to prediction modelling, using EvalC3

Time: October 1, 2018 to October 2, 2018
Location: Thessaloniki, GREECE
Street: 154 Egnatias Street, 546 36
City/Town: Thessaloniki
Website or Map: http://www.ees2018.eu/1533025…
Phone: +420 261 174 301
Event Type: ees, pre-workshop, invitational
Organized By: European Evaluation Society (EES)
Latest Activity: Sep 7, 2018

Export to Outlook or iCal (.ics)

Event Description

Monday 1st October 2018,
Pre-EES2018 workshop - An introduction to prediction modelling, using
EvalC3, by Rick Davies, at Thessaloniki, Greece


Workshop summary:
Methods PW6 - An introduction to prediction modelling, using EvalC3
Rick DAVIES
For: evaluators, donors, managers and implementers.
Level: some knowledge of simple quantitative and qualitative methods.
This workshop is designed to provide a practical introduction to prediction
modeling using EvalC3 (a free Excel application). Prediction/predictive
modeling is the process of creating, testing and validating a model (i.e. a
set of attributes) whose presence and/or absence best predicts the presence
of an outcome of interest. For example, attributes of a training event that
best predict overall trainee satisfaction. Using EvalC3 it can be done with
small and simple data sets (e.g. 30 cases with 10 binary attributes), and
it can be done with readily available and easy to use software, no coding
skills are needed. The workshop' participants will:1. Gain knowledge about
how and when to use all the functions available within EvalC3; 2. Develop
plans to collect and analyse data in their own field of work, using EvalC3
or related software. 3 Learn about other user-friendly predictive modeling
software to use with larger datasets. For more information see:
https://evalc3.net/

Go here to register...
/span>http://www.ees2018.eu/1533025758-pre-conference-workshops.htm

Best Regards,

For: EES and Dr. Rick Davies

James Omo. Obakpolor

SDGs Focal Desk (Budget &National Planning),

Abuja/Lagos (NIGERIA)

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