ITS5*/CL* | Data Visualization through Physical and Digital Media
ITS5/CL
Data Visualization through Physical and Digital Media
Convener: Colin EvansECSECS | Co-conveners: Yan-Ning KuoECSECS, Teresa Spohn-ChasECSECS

Scientists and researchers are more and more finding new ways to present their work to a broad audience. This includes presenting data through a diverse array of visual forms, from conventional graphs and maps to interactive web applications, physical models, art installations, and other forms of tangible media. These approaches to data visualisation can make complex datasets and systems more accessible and approachable to a wider audience. Oftentimes they can reveal patterns that are difficult to see in raw data and they provide new ways of communicating scientific results to both specialised and general audiences. At the same time, the choice of which specific visual medium is used influences what can be shown, what is emphasised, and how the data are interpreted.

This session invites contributions exploring the use of physical and digital media to visualise scientific data. We welcome work that showcases data visualisation in unique ways including, but not limited to; maps, interactive visualisations, virtual and augmented environments, physical or tactile representations, and artistic approaches. Contributions may focus on the development of new techniques, the application of existing approaches to scientific problems or data, or reflections on how different visual forms affect the interpretation and communication of scientific data and research.
We particularly encourage contributions that consider the relationship between the data, the medium through which they are presented, and the people using or experiencing the visualisation. Examples from all scientific disciplines supported by EGU are welcome, as are approaches that cross the boundaries between scientific visualisation, design, art, and public engagement. And we particularly encourage contributions from underrepresented groups and countries.