Topological diagramming: a method for visualising intermediate-level knowledge
Purpose The article proposes a method for articulating insights derived from practice research. Practice research typically produces an “intermediate level” of knowledge, that is, the “praxis space” sits between the concrete and artefactual (practice), and the abstract and predictive (theory). This builds on the work of Kristina Höök and Jonas Löwgren (2012) and Bill Gaver & John Bowers (2012) in Research through Design and Human Computer Interaction and applies it to spatial practices, and to creative practice more generally. Design/methodology/approach The article presents the topological diagramming method. It uses two case studies to illustrate its development and application. This is situated in a wider context of drawing and diagramming in architectural production. Findings The author proposes that the approach described is a hybrid method; it commences in First Order knowledge – the tacit, embodied, and material – and proceeds towards Second Order knowledge – theorising from within the practice and across the practitioner-researcher's body of work. Practical implications The topological diagramming method is a critical, self-reflective tool, for thinking-through-diagramming, but the author proposes the diagram might then be used generatively, guiding the practitioner–researcher towards possible new practice outcomes and practice research outputs. Social implications The author proposes that this could also be an effective device for collaboration or for research groups to establish synergies. Originality/value The originality lies in developing a systematic method that arises from within the practice, and bridges between the modes of practice and the requirement to articulate a Research Narrative to explicate the characteristics inherent in practice as research.
Authors
- Sebastian Messer (ORCID: https://orcid.org/0000-0003-1608-0378)
Institutions
- Northumbria University (GB)
Publication Details
- Journal
- International Journal of Architectural Research Archnet-IJAR
- Published
- 2026-04-22
- DOI
- https://doi.org/10.1108/arch-11-2025-0534
- Primary Topic
- Architecture and Computational Design
- Type
- article
- Field-Weighted Citation Impact
- 0.00