The Performing Data Project

  • 14 July 2015 - 21 July 2015

The Performing Data Project presents a series of artworks, informal presentations and a makers session exploring the concept of performing data.


Book your place for our Makers Workshop 16 & 17 July

The Performing Data Project is concerned with the idea that - through performance - data is revealed to people in various material and embodied ways, sometimes slowly, sometimes, as if live, sometimes in tangible forms, and sometimes by requiring people to enact being sensors themselves.


The Performing Data Project is being developed by an interdisciplinary group of HCI researchers, artist/researchers and creative technicians based across the Mixed Reality Lab and Horizon Digital Economy Institute at the University of Nottingham.  Alongside this core group additional collaborations are taking place with other artists, climate scientists, engineers, public venues and academic institutions. 


Ubiquitous digital technologies offer mechanisms through which we can attempt to learn a deeper sense of our world and ourselves. They can illuminate hidden patterns of social, physical and environmental behaviours, and question our assumptions about the world and our situated activities. Such radical and fundamental change in our collective perspectives bring with it profound artistic and humanistic questions across the sciences and the arts. In turn these provide opportunities for exploring new ways to interpret and investigate data, and our personal relationships with it, in engaging and often playful ways.


The artists exhibiting work as part of The Performing Data Project are Rachel Jacobs, Caroline Locke, Richard Ramchurn, Brendan Walker, AlbinoMosquito and Di Wiltshire who have worked with Computer Scientists, Sociologists and Designers and the Mixed Reality Lab Nottingham to investigate the conceptual and practical challenges of putting data at the centre of public performance.


The Performing Data project is funded by Horizon Digital Economy Research (EPSRC EP/G065802/1) at the Mixed Reality LabSchool of Computer ScienceThe University of Nottingham