This half-day conference looked at why data visualisation is important. Focusing on current uses of data visualisation and exploring how different sectors – media, government, charities and academia - make effective use of data visualisations.

This was the first in a series of seminars run in partnership with the Reuters Institute for the Study of Journalism (RISJ) and the Alliance for Useful Evidence. The series is designed to bring together the producers and users of research evidence - researchers, policy-makers, and journalists and graphic specialists from across the UK. Lessons learned from the series will be disseminated after the event.

Key questions for the conference series are:

Visualisations are part of broader changes in the information landscape. What do policy-makers, researchers and media professionals need to know about visualisation in order to use them to explore and communicate research evidence?

What are the main trends in the uses of data visualisation (including interactive online uses)? What are the benefits and dangers of these uses?

What can we learn from the current uses of visualisations in the different fields and disciplines within academia; from the various media uses and from uses within policy-making and government?

Friday 20th of June 2014
1:00pm - 5:00pm

Nesta, 1 Plough Place, London, EC4A 1DE

Speakers included

  • Aleks CollingwoodProgramme Manager, Statistics and Quantitative Specialist, Joseph Rowntree Foundation
  • Claire MillerSenior Data Journalist, Trinity Mirror Regionals
  • Professor Robert PicardDirector of Research, Reuters Institute for Study of Journalism
  • William Allen and Rob McNeilfrom the Migration Observatory, Compass, University of Oxford
  • Professor Luciano FloridiDirector of Research, Oxford Internet Institute, University of Oxford
  • Akshat Rathi Science Editor, The Conversation
  • Chris HemingwayHead of Analytics, Fraud, Error and Debt Programme, Cabinet Office
  • Alan SmithPrincipal Methodologist, Data Visualisation at Office for National Statistics