ai
Epistemic Tensions: Reframing A Visualization Co-Design through Entanglement Theory
- Source
- arXiv — Computers and Society
- Published
- Last verified
- 17 Aug 2026
- Confidence
- Moderate
- Evidence
- Original document retained
- Reading time
- 1 min
- Country
- International
- Relevant to
- Research & Evidence, Operations & Delivery, Technology & Data
- Topics
- airesearchoperations
Executive summary
What happened, and why should leadership care?
Research from arXiv explores the application of 'entanglement theory' as a framework to analyze and reframe epistemic tensions encountered in a visualization co-design project. This theoretical lens challenges conventional views within the visualization research community, suggesting that knowledge generation is not linear or isolated but deeply interconnected with phenomena and tools, offering a novel approach to understanding complex collaborative research.
Why this matters
Why is this strategically important?
This research introduces a new theoretical framework for understanding knowledge production in complex, collaborative technical projects, challenging established methodologies. Adopting such perspectives can enhance problem-solving, innovation, and the effectiveness of cross-disciplinary initiatives by fostering a deeper understanding of inherent interdependencies.
Key insights
What should be noted from the evidence?
- Epistemic tensions arose within a visualization co-design project.
- Entanglement theory was utilized as a lens to examine and reframe these tensions.
- The theory posits that knowledge is intrinsically 'entangled' with phenomena and apparatuses, contrary to traditional linear production assumptions.
- The practical value of entanglement theory in visualization research is currently underexplored but demonstrated utility in this specific context.
- The study highlights a critique of conventional research practices by applying this theoretical perspective.
Evidence and confidence
How far can this assessment be trusted?
Moderate confidence. Provenance established; supporting evidence remains partial.
Analysis is prepared editorially by Aziz Shuaib Ausi. The original publication remains the authoritative record, and executive judgement remains entirely human.
Source
Where does this originate?
Reported by arXiv — Computers and Society · International. This briefing summarises the publication for executive use; the document itself is not reproduced here.
Read the original publication