Journalists today are faced with an overwhelming abundance of data – from large collections of leaked documents, to public databases about lobbying or government spending, to ‘big data’ from social networks such as Twitter and Facebook. To stay relevant to society journalists are learning to process this data and separate signal from noise in order to provide valuable insights to their readers. This talk will address questions like: What is the potential of data journalism? Why is it relevant to society? And how can you get started?


liliana_bounegruLiliana Bounegru is leading the European Journalism Centre’s Data Driven Journalism initiative, one of the main programmes for training, resources and networking in the area of data journalism. At the EJC Liliana co-edited The Data Journalism Handbook. Liliana is also a new media researcher at the University of Amsterdam where she works on the Digital Methods Initiative and on the collaborative project EMAPS (Electronic Maps to Assist Public Science), led by the sociologist Bruno Latour. She is also PhD candidate studying data journalism at the University of Groningen (Netherlands) and the University of Ghent (Belgium). She blogs about her work at lilianabounegru.org and tweets at @bb_liliana.


Each participant needs to:

  • bring a laptop that can connect to the internet (tablets won’t work).
  • install the following on their laptops/computers before the session:
    • a spreadsheet programme if you don’t have one (Liliana will be using Microsoft Excel),
    • a browser if you don’t have one,
    • Gephi: https://gephi.org/

Preferably, participants should also have a Gmail account to be able to log into Google Drive (it can be worked around if you don’t have Gmail but it would make things easier if you did).

Please test before the workshop that Gephi opens on your machine. If you have a Mac it might not open because Macintosh disabled an older version of Java at some point due to security concerns so you have to install Java. For more information:

This session will be structured as a guided challenge whereby the facilitator proposes to the participants an assignment, which they need to complete by the end of the session. To start off the facilitator provides both the assignment and the necessary tools and datasets to complete it. The facilitator also gives a short tutorial about how to use the proposed tools. The second phase is the group work exercise. The third phase is the presentation of results.