What can AI do for Arts, Culture & Creativity Research at UoM?

Time: 15:00

New technologies in Data Science and Artificial Intelligence (AI) are providing unprecedented access to cultural heritage, creating new cultural experiences, offering new ways to respond to key research questions in arts, languages, and cultures, and redefining the media and cultural and creative industries landscape. This highly interdisciplinary area opens up a number of exciting possibilities for research, teaching, knowledge exchange, and business engagement.

This internal event will highlight and map out expertise, strengths and possible directions and areas of future development on AI in arts, languages, culture, and heritage at the University of Manchester. Researchers from across the University of Manchester’s Digital Futures network will spotlight their research in these areas.

Join us to find out more about the University’s research in AI and the Arts and explore possible collaborations.

Agenda

Welcome and Context: Dr Kostas Arvanitis, Digital Futures Creative and Heritage Lead

AI Trends, Directions and UoM Strengths: Professor Sophia Ananiadou, Deputy Director, Institute for Data Science and Artificial Intelligence

Modelling User Engagement with Interactive Media: Jonathan Carlton, PhD student, School of Computer Science

Discovering Novel Pathways through Collections: A Museum Recommender System: Lukas Noehrer, PhD student and Co-Organiser of the Alan Turing Institute AI&Arts Group

Using computational linguistics to detect markers of Parkinson's disease in typing data: Dr Colin Bannard, Senior Lecturer in Linguistics

AI use in creativity and communities (provisional title): Dr Anita Greenhill, Senior Lecturer, AMBS & Dr Joe Ravetz, Future-Proof Cities Lead for the Manchester Urban Institute

Experimenting with AI in the Library: Pete Morris, Library Applications Developer, University of Manchester Library

Sad Dog Eating: Composition strategies, hybridisation and distributed creativity with Machine Learning: Zakiya Leeming, Doctoral Composer at the Centre for Practice and Research in Science and Music (PRiSM), Royal Northern College of Music (RNCM)

Classifying Biometric Data for Novel Musical Expression within Composition: Chris Rhodes, PhD Candidate in Music Composition at NOVARS Research Centre

AURA MACHINE: Machine Learning & Musique Concrete : Vicky Clarke, Artist in Residence, NOVARS, European Art-Science-Technology Network for Digital Creativity