The consequences of COVID-19 for society are yet to be studied. However, we can already predict the impact of the pandemic on the situation of women in Ukraine. Their families and their wellbeing, especially that of single mothers, are at risk.

Organisations working with boys, men & fathers have published a multilingual recommendation for stress management during the Corona crisis.

Yirgalem Fisseha is an Eritrean poet, journalist and writer who was detained as a political prisoner in the Mai-Sirwa prison for six years. On the occasion of International Women’s Day, she writes about brave women who fought for independence and were imprisoned by an authoritarian regime, and tells the evocative story of two mothers that she met in Mai-Sirwa.

While South Africans are preparing for lockdown, isolating at home presents additional risks for abused victims, says the National Shelter Movement.

Equal power for women, a life with less violence and more justice are the goals that were set 25 years ago at the 4th World Conference on Women and in the Beijing Platform for Action. So far, gender equality has never been achieved.

March is often celebrated as International Women’s Month with March 8 officially declared as International Women’s Day to shine the light on the different issues and inequalities women around the world face. This year’s theme is aptly described as “An equal world is an enabled world”, a fitting line to describe the various inequalities that women experience around the world and the need for us to acknowledge and work towards dismantling the structures of inequalities that exist. 

Heinrich Boll Foundation believes in collective action to amplify the work of individual feminist and move beyond silos to build collective power. In this front, the foundation has on various occasions hosted gatherings of feminist to facilitate collective actions.

The op-ed has been written by Omid Nouripour together with Manuel Sarrazin. It was first published in Ukrainian on the website of Novoye Vremia media outlet.

Computers are often thought of as neutral technology. However, it becomes alarmingly clear that machines learn from training data made up of outdated social norms, values and attitudes towards race and gender. This can have insidious consequences.