Research Projects & Awards

Articulating Data: machine listening, vocalisation, and the (in)security of language in a digital age

Pip Thornton.
Chancellor’s Fellow, School of GeoSciences

Articulating Data is a 2-day single track symposium, concerned with interrogating the systems which evidence, process, and profit from our textual and vocal communications in an age of ubiquitous machine learning and AI. With keynotes from academia and the critical art world, the symposium will bring together ideas from across disciplines, and provide a platform for early career scholars and artists working in this field.

As part of Articulating Data, commissions of £2,500 are available to a limited number of artists or creative practitioners for the development and exhibition of new work (digital or/and analogue) at the symposium which critiques or engages with these issues.

Articulating Data is led by Dr. Pip Thornton, Chancellors Fellow in GeoSciences at the University of Edinburgh, in collaboration with, Dr. Murad Khan, Senior Lecturer in Creative Computing at University of the Arts London, Dr. Andrew Dwyer, Lecturer in Information Security at Royal Holloway, University of London, and Martin Disley, Artist and Researcher at Design Informatics, University of Edinburgh.

Join us to challenge, create, and make change happen.