George Waddell is a Research Associate in Performance Science at the Royal College of Music. He is also a Sessional Lecturer and honorary Research Associate in the Faculty of Medicine at Imperial College London. His research focusses on the evaluation of performance, including decision-making among judges and audiences and the development of evaluative skills, as well as how technology can be used to enhance how performance is assessed and learned.
George worked on the TELMI project, funded by the European Commission’s Horizon 2020 research and innovation programme, which sought to develop technologies that enhance instrumental music teaching. He was also a member of the first MedTech SuperConnector cohort, an accelerator for emerging medical technologies. He is Project Manager on the Healthy Performer and HEartS Professional projects, both of which address the health and wellbeing of performers. George designs and leads courses on scientific research methods, the psychology of performance, enterprise and innovation, musicians’ health and wellbeing, and the science and practice of performance evaluation.
George holds a PhD in Performance Science from the RCM. He completed his BMus and MMus in piano performance at Brandon University (Canada) while studying psychology. He was awarded the Brandon University Gold Medal for the Master of Music Degree, was a recipient of the Manitoba Graduate Scholarship, and holds an ARCT Diploma from the Royal Conservatory of Music in Toronto. He is a Consulting Editor for the journal Musicae Scientiae and an Associate Editor for Frontiers in Performance Science.
Ramirez R & Waddell G (forthcoming), Technology enhanced learning of performance, in G McPherson (ed.), The Oxford Handbook of Music Performance, Oxford University Press.
Williamon A, Ginsborg J, Perkins R, & Waddell G (forthcoming), Performing Music Research: Methods in Music Education, Psychology, and Performance Science, Oxford University Press [ISBN 9780198714545] [WEBSITE].
Dalmazzo DC, Waddell G, & Ramirez R (2021), Applying deep learning techniques to estimate patterns of musical gesture, Frontiers in Psychology, 11 (575971), 1-15 [DOI].
Giraldo SI, Waddell G, Nou I, Ortega A, Mayor O, Perez-Carrillo A, Williamon A, & Ramirez R (2019), Automatic assessment of tone quality in violin music performance, Frontiers in Psychology, 10 (334), 1-12 [DOI].
Waddell G, Perkins R, & Williamon A (2019), The Evaluation Simulator: a new approach to training music performance assessment, Frontiers in Psychology, 10 (557), 1-17 [DOI].
Waddell G & Williamon A (2019), Technology use and attitudes in music learning, Frontiers in ICT, 6 (11), 1-14 [DOI].
Waddell G, Perkins R, & Williamon A (2018), Making an impression: error location and repertoire features affect performance quality rating processes, Music Perception, 36, 60-76 [DOI].
Waddell G & Williamon A (2017), Eye of the beholder: stage entrance behavior and facial expression affect continuous quality ratings in music performance, Frontiers in Psychology, 8 (513), 1-14 [DOI] [VIDEO].
Waddell G & Williamon A (2017), Measuring the audience, in S Lee (ed.), Scholarly Research for Musicians (pp. 148-155), Routledge.
Waddell G (2015), Review of Expressiveness in Music Performance: Empirical Approaches Across Styles and Cultures (OUP, 2014), Psychology of Music, 43, 909-912 [DOI].