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.
Forth, Jamie. 2024. Algorithmic folding. In: Glenna Batson and Susan Sentler, eds. Artmaking as Embodied Enquiry – Entering the Fold. Bristol: Intellect. ISBN 9781789389685
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
Pontis, Sheila; Kefalidou, Genovefa; Blandford, Ann; Forth, Jamie; Makri, Stephann; Sharples, Sarah; Wiggins, Geraint and Woods, Mel. 2015. Academics' responses to encountered information: Context matters. Journal of the Association for Information Science and Technology, 67(8), pp. 1883-1903. ISSN 2330-1643
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.
