Data Journalism Workshop: women's/gender rights and environment


Workshop in Berlin on data journalism for NGOs supporting environment or women’s/gender rights.

24-30 August 2020
Berlin, Germany

The program will strengthen participants' ability to aggregate, prepare and present data in an understandable and convincing way. Participants will learn teaching skills that enable them to pass their knowledge on to other NGOs. The training in Berlin will be followed by three workshops in Armenia, Georgia and Ukraine, organized by partners in those countries, where participants will work as trainers. 

In the first part 9 civil society actors from all countries of the Eastern Partnership will learn in-depth data-journalism. The focuses will be:

1) Women's and gender rights: Many inequalities, disadvantages or discrimination can be proven and substantiated by data. Whether its the gender pay gap, domestic violence, women in leadership positions or other aspects. 

2) Environment and health: competently prepared data can also be used to substantiate and communicate health threats, accumulations of serious illnesses and even deaths caused by environmental pollution. Using facts like data makes information credible and convincing. 

The training at BJS is supported by visits of Institutions working with data: Editorial offices, NGOs, a public authority, state institution etc. Finally, the trainers will develop a concept for the three workshops as well as the role they will take in it.

Eligibility criteria 

  • Good spoken English;
  • Member/staff/trainer of an NGO based in Armenia, Azerbaijan, Belarus, Georgia, Moldova or Ukraine;
  • Proven experience in the field of women/gender or environment;
  • Basic skills and proven experience in working with data.

Travel expenses accommodation and costs for visa (if necessary) will be covered. For the teaching at the workshops a remuneration will be paid.


  • A cover letter in which you describe both your professional background (including experience in giving training) and the reasons for your application;
  • Documents supporting your previous data-experience in the above mentioned topics. It can be websites, articles about previous projects and/or references from your NGO or previous employers. If you hand in documents/links in languages other than English, please add a short English summary. Please, also indicate how many persons you could reach in future with your newly acquired skills;
  • Detailed CV;
  • If possible a proof of your knowledge of English.

Document should be sent via e-mail (pdf, in total not more than 5 MB) to