Dr Jamie Forth

Staff details

Dr Jamie Forth






j.forth (@gold.ac.uk)

Jamie is a musician, artist/coder, and interdisciplinary researcher interested in perception, culture and creativity

Jamie is a musician, artist/coder and interdisciplinary scientific researcher. His artistic research engages with theory and practices of computational art, specialising in sound, data analysis and technological forms of social and political intervention. Jamie’s scientific research focuses on the development of computational methods for modelling processes associated with the perception, cognition and creation of music. He has undertaken post-doctoral work in the fields of computational creativity and artificial intelligence; statistical modelling of music and natural language; multi-agent systems; and knowledge representation and discovery within the Semantic Web.

Academic qualifications

  • PhD (Computer Science), Goldsmiths, University of London 2012
  • MA (Electroacoustic Composition), City University, London 2004
  • BMus Hons (Music), City University, London 2003

Teaching and supervision

Jamie is programme convenor for BSc Creative Computing.

Publications and research outputs

Book Section

Forth, Jamie. 2023. Algorithmic folding. In: Glenna Batson and Susan Sentler, eds. Artmaking as Embodied Enquiry – Entering the Fold. Bristol: Intellect.

Wiggins, Geraint A. and Forth, Jamie. 2018. Computational Creativity and Live Algorithms. In: Alex McLean and Roger Dean, eds. The Oxford Handbook of Algorithmic Music. Oxford, UK: Oxford University Press. ISBN 9780190226992

Wiggins, Geraint A. and Forth, Jamie. 2015. IDyOT: A Computational Theory of Creativity as Everyday Reasoning from Learned Information. In: Tarek R. Besold; Marco Schorlemmer and Alan Smaill, eds. Computational Creativity Research: Towards Creative Machines. 7 Paris: Atlantis Press, pp. 127-148. ISBN 9789462390843


Dean, Roger T. and Forth, Jamie. 2020. Towards a Deep Improviser: a prototype deep learning post-tonal free music generator. Neural Computing and Applications, 32(4), pp. 969-979. ISSN 0941-0643

Xiao, Ping; Toivonen, Hannu; Gross, Oskar; Cardoso, Amílcar; Correia, João; Machado, Penousal; Martins, Pedro; Goncalo Oliveira, Hugo; Sharma, Rahul; Pinto, Alexandre Miguel; Díaz, Alberto; Francisco, Virginia; Gervás, Pablo; Hervás, Raquel; León, Carlos; Forth, Jamie; Purver, Matthew; Wiggins, Geraint A.; Miljković, Dragana; Podpečan, Vid; Pollak, Senja; Kralj, Jan; Žnidaršič, Martin; Bohanec, Marko; Lavrač, Nada; Urbančič, Tanja; van der Velde, Frank and Battersby, Stuart. 2019. Conceptual Representations for Concept Creation. ACM Computing Surveys, 52(1), ISSN 0360-0300

van der Velde, Frank; Forth, Jamie; Nazareth, Deniece S. and Wiggins, Geraint A.. 2017. Linking neural and symbolic representation and processing of conceptual structures. Frontiers in Psychology, 8, 1297. ISSN 1664-1078

Conference or Workshop Item

Forth, Jamie and Wiggins, Geraint A.. 2012. 'Conceptual spaces of metre and rhythm'. In: 12th International Conference on Music Perception and Cognition (ICMPC). Thessaloniki, Greece.

Lewis, David; Woodley, Ron; Forth, Jamie; Rhodes, Christophe and Wiggins, Geraint. 2011. 'Tools for Music Scholarship and their Interactions: A Case Study'. In: Supporting Digital Humanities. Copenhagen, Denmark.

Forth, Jamie; McLean, Alex and Wiggins, Geraint A.. 2008. 'Musical creativity on the conceptual level'. In: Proceedings of the 5th International Joint Workshop on Computational Creativity. Madrid, Spain.


Harrington, J Neve and Forth, Jamie. 2017. screensaver (dance with live coding). In: "Movement Computing Conference (MOCO), London, June 2017", Goldsmiths, University of London, United Kingdom.


Forth, Jamie; Sentler, Susan and Chua, Christina J.. 2021. On Movement, Rhythm and Data. Documentation. so-far.online, Singapore.


Forth, Jamie. 2012. Cognitively-motivated geometric methods of pattern discovery and models of similarity in music. Doctoral thesis, Goldsmiths, University of London