Data Journalism Without Borders

Three experts in data-driven news talk about the importance of cross border collaborations

24 March 2016

Marianne Bouchart

Data journalism today, just like other field in the news industry, is facing many challenges, from the transition to mobile and native content to monetisation, and new technologies. 

 Data journalists and their team often work on stories of international impact, but they rarely get the chance to exchange best practices and new models with their counterparts in other countries, let alone other continents. 

As experiments and data journalism workflows are quite different in Asia-Pacific, in Africa, in Europe and in the Americas, learning from others' experiences and building new solutions to ensure a viable future for cross border data journalism seems like a crucial next step. 

Along these lines, the Global Editors Network is launching the Data Journalism Unconference, a FREE, invitation only event to discuss and tackle data journalism challenges across borders.

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Organised in partnership with Thomson Reuters, with support from Google, the event will gather around 80 participants from the five continents in New York City on 10 May 2016 and stand as a unique and exclusive opportunity to exchange ideas on how teams, techniques and models vary from one country to the other, with the ultimate goal to initiate fruitful international collaborations. 

At the end of the day, the shortlisted projects of the Data Journalism Awards 2016 will be revealed. 

In this article, you will hear from three experts in data journalism globally: Simon Rogers, Data Editor at Google News Lab and director of the Data Journalism Awards; Eva Constantaras, data journalism adviser from Internews who trains data journalists in developing countries; and Justin Arenstein, investigative journalist and founder of Code for Africa

Together they bring light on the state of cross-border data journalism today, the challenges faced by data journalists in developing countries and how international collaborations could help build a viable future for data journalism.