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Bootcamp

Visualising Data

Bellingcat

2 October 2020
10:00 - 17:00
3 October 2020
09:30 - 17:00
4 October 2020
10:00 - 18:00

Data visualisation
The specific focus of this new Bellingcat boot camp is visualisation: how to present data found online in such a way that it has an immediate impact, is perceived as newsworthy and is accessible to everyone. The online collective Bellingcat works to obtain, process and disseminate the results of online research; and this boot camp will look at how attractive visualisations can support the dissemination of such research results. How can we condense six pages of hard-to-digest information into a single attractive animation or infographic in order to reach a far bigger audience? Can you, as a participant in this boot camp, provide a Bellingcat case with an attractive visualisation and offer ideas that will help Bellingcat in its future work?

Course
You will be taught the Bellingcat method. Using a Bellingcat case, you will work with designers on an attractive and convincing visualisation of the research results. Your team will present your results to Bellingcat. The team with the best visualisation will be asked to continue working on an ongoing Bellingcat case to be presented on the Bellingcat platform.

How to enrol
Teachers, students and recent graduates in design and journalism are encouraged to enrol for this course. Numbers are limited.

The enrolment fee is €365, or for students €100, including coffee, tea and lunch. Participants can also choose to take just the course on the Bellingcat method on Friday 2 October. The fee is then €15, not including catering.

You can apply until 23 September at workshop@impakt.nl, attaching a brief (100 to 200 words) motivation letter and your CV.

This boot camp is organised by IMPAKT, Residencies in Utrecht, Journallab and the Fontys Academy of Journalism, with funding from the Dutch Journalism Fund.

Coordinators: Lidy Ettema (Residenties in Utrecht), Daniëlle Arets (Fontys Academy of Journalism / Journallab) and Martijn Rademakers (Journallab).

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