Professor Daniel Müllensiefen

Staff details

Professor Daniel Müllensiefen

Position

Emeritus Professor

Department

Psychology

Email

d.mullensiefen (@gold.ac.uk)

I'm a music psychologist and Co-Director of the MSc in Music, Mind, and Brain.

I'm a Professor in Psychology at Goldsmiths and also a research fellow with the University of Music, Drama, and Media at Hannover, Germany.

I'm interested in (almost) all questions relating to music psychology, ranging from industry-related work on music and advertising (working as Scientist in Residence with adam&eveDDB) to individual differences in musical ability and to musical memory and plagiarism where I have served as an expert witness in many cases.

I was awarded the prestigious Anneliese-Maier award by the Humboldt- Foundation in 2016 and I'm the editor of the international open-access journal Empirical Musicology Review. I am currently heading the LongGold project, a longitudinal study on the development of musical and other cognitive and social abilities during adolescence.

Research interests

My main themes of research relate to the study of the development of musical abilities and the psychometrics of music, computational and statistical models of music perception, cognitive biases in musical judgement and the behavioural economics of music. For full details on projects and research interests see.

Here are some areas that I've worked on in the past:

Memory for Music, Musical Similarity Perception, Music in Advertising, Audiobranding, Musical Sophistication, Development of Musical Abilities, Judgement and Decision Making in Music, Individual Differences and Measurement of Musical Skills, Cognitive Issues Related to Music Copyright

Publications and research outputs

Book Section

Müllensiefen, Daniel and Frieler, Klaus. 2022. Statistical Methods in Music Corpus Studies: Application, Use Cases, and Best Practice Examples. In: Daniel Shanahan; John Ashley Burgoyne and Ian Quinn, eds. The Oxford Handbook of Music and Corpus Studies. Oxford: Oxford University Press. ISBN 9780190945442

Müllensiefen, Daniel and Hemming, Jan. 2017. Musikalische Fertigkeiten und ihre Messbarkeit. In: Andreas C. Lehmann, and Reinhard Kopiez,, eds. Handbuch Musikpsychologie. Göttingen: Hogrefe.

Frieler, K; Jakubowski, Kelly and Müllensiefen, Daniel. 2015. Is it the song and not the singer? Hit song prediction using structural features of melodies. In: , ed. Yearbook of the German Society for Music Psychology. 24 , pp. 41-54

Article

Hake, Robin; Bürgel, Michel; Nguyen, Ninh K.; Greasley, Alinka; Müllensiefen, Daniel and Siedenburg, Kai. 2024. Development of an adaptive test of musical scene analysis abilities for normal-hearing and hearing-impaired listeners. Behavior Research Methods, 56(6), pp. 5456-5481. ISSN 1554-351X

Eitel, Matthew; Ruth, Nicolas; Harrison, Peter; Frieler, Klaus and Müllensiefen, Daniel. 2024. Perception of Chord Sequences Modeled with Prediction by Partial Matching, Voice-Leading Distance, and Spectral Pitch-Class Similarity: A New Approach for Testing Individual Differences in Harmony Perception. Music & Science, 7, ISSN 2059-2043

Silas, Sebastian; Müllensiefen, Daniel and Kopiez, Reinhard. 2024. Singing Ability Assessment: Development and validation of a singing test based on item response theory and a general open-source software environment for singing data. Behavior Research Methods, 56(5), pp. 4358-4384. ISSN 1554-351X

Conference or Workshop Item

Müllensiefen, Daniel; Floridou, Georgia A. and Jakubowski, Kelly. 2015. 'Can correlations imply causation? Causal modeling and music psychology research.'. In: Ninth Triennial Conference of the European Society for the Cognitive Sciences of Music. Manchester, United Kingdom.

Van Balen, J; Burgoyne, J.A; Bountouridis, D; Müllensiefen, Daniel and Veltkamp, R. 2015. 'Corpus Analysis Tools for Computational Hook Discovery.'. In: Proceedings of the 16th International Society for Music Information Retrieval (ISMIR) Conference 2014. Spain.

Müllensiefen, Daniel; Baker, David; Lewis, Richard; Rhodes, Christophe; Fields, Ben and Crawford, Tim. 2014. 'Multi-modal Musical Performance Capture'. In: Digital Music Research Network (DMRN+9). London, United Kingdom.