I am a 23 year old freelance data journalist working at Deutsche Welle, Germany’s international public broadcaster. In the past, I have worked on data-driven projects with the regional networks rbb and BR as well as the Guardian, the London Times and others.
At DW, our data team aims to create projects that bring to light new information on relevant issues. This can apply to any topic: Even before working at Deutsche Welle, I have published stories on politics (e.g. analyzing the social network of the German far-right group Pegida or comparing minimum wages in Europe), media (e.g. illustrating the languages of the Eurovision Song Contest or exploring Hollywood stereotypes about ethnic groups), environmental issues (e.g. an interactive piece on the return of the wolf) and more. I started publishing data-driven stories during my studies at TU Dortmund, comparing right-wing parties throughout Europe for our campus newspaper (see additional links).
Starting during my journalism studies a few years back, I’ve also been part of Journocode. Then a study group teaching ourselves and fellow students about data-driven work, we are now a 7-person data journalism initiative dedicated to helping journalists work with data. We organize workshops and publish tutorials and resources online. Through Journocode, I have worked with a number of different newsrooms and journalism networks in Germany and beyond. Last November, for example, we got the chance to work with DW Academy and the West Africa Media Foundation to offer data journalism trainings to journalists in Ghana.
From studying physics to working as an art mediator, I have found that there are stories worth being told in every field – and data-driven reporting remains an underrated way to contribute new perspectives to the conversation. I am glad to be able to not only work on data-driven stories myself, but to also help other journalists do the same.
What makes this project innovative?
What was the impact of your project? How did you measure it?
Source and methodology