Practice-Based Research in the Creative Arts: Foundations and Futures from the Front Line
Open accessAbstract
This article explores the subject of practice-based research, its application in the creative arts and its role in generating new forms of knowledge in the context of the PhD. Our aim is to provide more clarity about the nature of practice-based research, the approach we advocate and how it contributes to new knowledge that can be shared and scrutinized in a form that is both accessible and rich in its representation of the full scope of creative arts research. We draw on examples spanning over 35 years of experience in supervising interdisciplinary PhD research programs in the arts, design and digital media.
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The first-person accounts provided opportunities for the composers to articulate and clarify the reflections they captured in their composition sessions, and bring insights into their subjective viewpoints on their practice.
“We suggest these first-person accounts provided opportunities for the composers to articulate and clarify the reflections they captured in their composition sessions, and bring insights into their subjective viewpoints on their practice [14,16,19].”
From Reflection Across AI-based Music Composition (2024) · cites this paper as [19]
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- Linda candy is a writer and researcher who lives and works in Australia and England. She is presently adjunct Pro- fessor in the School of Software, the University of Technology, Sydney, and a Visiting Professor at Sheffield Hallam Univer- sity. Her subject is creativity with a focus on practice-based research and methodologies for evaluating interactive digital systems. She is co-founder of the ACM SIGCHI Creativity and Cognition conference series and an editorial board mem- ber of the Journal of Art, Design and Communication in Higher Education and the International Journal of Design Creativity and Innovation. erneSt edmondS is a pioneering digital artist researcher who first used a computer in his art in 1968. Recent exhibi- tions include the one-person shows Light Logic (Site Gallery, Sheffield and Conny Dietzschold Gallery, Sydney), a Retro- spective in Beijing and Systems and Software in Shanghai. Recent group exhibitions were in Riga, Latvia; Olomouc, Czech Republic; London's GV Art gallery; Primary Codes in Rio de Janeiro and Algorithmic Signs in Venice. Edmonds is Profes- sor of Computational Art at De Montfort University, Leices- ter, U.K. He is Editor-in-Chief of Leonardo's Transactions and of Springer's Cultural Computing book series. He chairs the Board of ISEA International.
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- Authors
- Candy, L., & Edmonds, E.
- Affiliations
- University of Technology Sydney (AU)
- Corresponding author
- Candy, Linda
- Edmonds, Ernest
- Venue
- Leonardo
- Publisher
- MIT Press
- Published
- 2018-02
- Volume
- 51
- Issue
- 1
- Pages
- 63-69
- ISSN
- 0024-094X (ISSN-L)
- 1530-9282
- OpenAlex
- W2670396183
- Cited by
- 326
- References
- 9
- Citations by year
- 2026: 63 · 2025: 47 · 2024: 40 · 2023: 30 · 2022: 31 · 2021: 65 · 2020: 24 · 2019: 21 · 2018: 5
- FWCI
- 258.79
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Leonardo (publishedVersion)
- Project Muse (Johns Hopkins University) (submittedVersion)
- DMU Open Research Archive (De Montfort University) (submittedVersion)
- UTS ePRESS (University of Technology Sydney) (submittedVersion)
- Topics
- Social Sciences › Arts and Humanities › Visual Arts and Performing Arts › Artistic and Creative Research
- Social Sciences › Arts and Humanities › Visual Arts and Performing Arts › Art, Technology, and Culture
- Physical Sciences › Engineering › Mechanical Engineering › Design Education and Practice
- Keywords
- practice-based research, creative arts research, doctoral supervision, interdisciplinary research, digital media research, knowledge production, research methodology
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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