We just put our a first announcement of our data stethoscope project which aims to develop new data exploration tools that enable both scientific discoveries and compelling art making.
This is our first announcement- Scot Gresham Lancaster, Tim Perkis and Andrew Blanton will be performing the data later this year, and the scientists in the neurobiology lab of Gagan Wig are just beginning to play with the tool to see if they can notice things in the data using sonification that they missed using just visualisation.
Data Sonification is a burgeoning area of research and art practice ( see for instance the sonification of the gravitational waves just detected: http://www.popsci.com/listen-to-sound-gravitational-waves
here are more details of our project- we will be releasing sound examples later this year as the work progresses
Collaborative Minds Bringing Sounds to Brain Data in Yearlong Project
Data from functional magnetic resonance imaging (fMRI) have provided eye-popping pictures of the way the brain is wired, and allowed neuroscientists and laypeople alike to view intricate anatomical and functional connections between regions of the brain. But what if a new tool could be applied to MRI and other data, to listen to the way the brain works and how it is forged with connections?
An emerging effort to “sonify” imaging data is taking root at UT Dallas’ Center for Vital Longevity, in the lab of Dr. Gagan Wig. The approach, now funded by the Defense Advanced Research Projects Agency (DARPA), allows data to be represented by sounds from which a trained listener might be able to discern patterns of brain connectivity not readily seen in available visualization strategies.
Wig, an assistant professor in the School of Behavioral and Brain Sciences, is working with his UT Dallas colleagues Dr. Roger Malina, Arts and Technology Distinguished Chair, Scot Gresham-Lancaster, assistant professor in the sound design program in the School of Arts, Technology, and Emerging Communication, and a mix of scientists, computer programmers and artists to translate data to sight and sound.