Data has dramatically expanded into everyday life – think Big Data – and questions about how data is represented and communicated have become a key issue, more particularly when it comes to data dealing with complex social issues.
Traditional visual representational methods struggle to support publics in gathering insights and engaging with complex, abstract, multi-dimensional sets of data so that awareness and knowledge is increased. In this context, the use of sound to represent data has, in recent years, gained momentum.
If readers don’t relate to the information, they are less likely to act and use it. (Paul Slovic)
We have asked the two keynote speakers of our October 13th conference, Miriam Quick and Duncan Geere; Head of Unit at Statec, Tom Haas; Associate Professor at University of Luxembourg, Emma Schymanski; Science Journalist Lara Schwenner (Quark.de), and composer / producer / musician Jamie Perera, what the challenges of data communication are in their view, and what data sonification has to offer.