The Role of Philosophy in Interdisciplinary Research and the Use of Artificial Intelligence Tools in Addressing Epistemological and Meaning-Related Challenges
This video presentation summarises postdoctoral research on the role of philosophy in addressing epistemological, conceptual, and meaning-related divergences in interdisciplinary collaboration. It introduces a three-stage model and corresponding AI-based digital philosophical tools designed to facilitate interdisciplinary knowledge integration. [VIDEO OF PUBLIC PRESENTATION, 2025].
EPR – Epistemological Profile Radar: A Diagnostic Tool for Cognitive Alignment in Interdisciplinary Research
The Epistemological Profile Radar (EPR) is a philosophical diagnostic tool that maps researchers’ initial epistemological stances, identifies points of convergence and divergence, and promotes cognitive alignment, epistemological self-awareness, and more effective collaboration within interdisciplinary research teams. [DIAGNOSTIC TOOL, 2025]
AiPi – Artificial Intelligence Principal Investigator: An AI Assistant for Knowledge Integration in Interdisciplinary Research
AiPi is a specialised AI assistant for interdisciplinary research teams. Combining philosophical analysis with results from the Epistemological Profile Radar (EPR), it clarifies assumptions, identifies epistemological differences, and supports epistemic and semantic alignment throughout collaborative research. [TOOL PRESENTATION, 2025]
Diagnosis of Epistemological Stances and the Epistemic Virtue Index in Interdisciplinary Research
In this publication, the documentation framework and the practical value of the EPR digital philosophical tool are presented. The tool is designed to enhance collaboration across heterogeneous scientific disciplines operating under interdisciplinary conditions, and is particularly beneficial for early-career researchers, doctoral candidates, and postgraduate students, insofar as it identifies points of convergence or divergence in the participants’ initial epistemological and metaphysical assumptions they bring to team research. [PLOGOS, 2026]
| Athens, Greece | London, UK | |
| ORCID | |
| Google Scholar | |
| ResearchGate |


