Artefacts of a Burning World
Opionated collection of articles, films, tweets, and other material that is related to the climate crisis.
I work as a self-employed designer, programmer and teacher in Berlin, interested in transforming data and information into visual structures while keeping a broad understanding of what a visualisation can be. I believe in a critical and theory-informed approach to data visualisation and design in general. I prefer to work with non-profit organisations, foundations, universities, journalists, and activists with open-source licenses.
My recent works include long-term projects focused on the visualisation of climate change scenarios. With my background at the intersection of data visualisation and interface design, I have been involved in the concept, ideation and realisation of singular graphics to highly interactive, embedded visualsation systems.
Besides, I regularly teach data journalism and information design at the TU Dortmund and FH Potsdam. I’m also an affilitate at Metalab(at)Harvard. In non-Corona times, I co-organise the Data Visualisation Meetup in Berlin.
With countries targeting net-zero, the transitions pose significant risks. The NGFS scenario portal was created together with the PIK to explain and analyse plausible scenarios to central banks and supervisors.
In this three-year project, we created modules that aim to make climate change scenarios understandable and more accessible. The international consortium consisted of scientists from PIK, IIASA, SEI, WUR and FH;P.
Everyone is affected by the climate crisis differently. This web tool offers simple access to scientific data to find out differences in age, region and warming scenario.
The total redesign of the website allows structuring the ever growing activities of the Metalab(at)Harvard & FU Berlin
This ongoing project creates a dashboard that allow the exploration of climate risk scenarios.
Opionated collection of articles, films, tweets, and other material that is related to the climate crisis.
OpenRefine is a commonly used tool in data visualisation. This guide gives an overview of the main functionalities like inspecting data, clustering, merging and reformatting datasets.
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