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Related Experiment Video

Updated: Jul 12, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

A Critical Assessment of Evidence-Based Design's Knowledge Base and Inspiration: A Systematic Review.

Thomas Bonnin¹

¹Dipartimento di Architettura, Ingegneria Delle Costruzioni e Ambiente Costruito, Politecnico di Milano, Milan, Italy.

|July 10, 2026

Summary

Evidence-Based Design (EBD) struggles with Evidence-Based Medicine's (EBM) rigid hierarchy. This study calls for a new EBD framework to better suit design research and practice.

Keywords:

design research evidence-based design evidence-based medicine evidential pluralism experimental evidence healthcare architecture philosophy of science

Related Experiment Videos

Last Updated: Jul 12, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

Area of Science:

Design Research
Philosophy of Science
Epistemology

Background:

Evidence-Based Design (EBD) aims to improve design through scientific evidence.
EBD's reliance on Evidence-Based Medicine (EBM) presents conceptual ambiguities.
Design practice specifics challenge EBM's hierarchical 'best evidence' model.

Purpose of the Study:

Examine EBD as an epistemological framework.
Analyze EBD's reliance on Evidence-Based Medicine (EBM) for methodological inspiration.
Critique the suitability of EBM's hierarchical evidence model for EBD.

Main Methods:

Systematic review of 31 design research publications.
Analysis of literature addressing EBD's 'best evidence' concept.
Coding and thematic analysis of criticisms regarding EBD and EBM.

Main Results:

EBM's hierarchical view is an unsuitable epistemological foundation for EBD.
EBM imposes inappropriate methodological standards on design.
EBD's framework devalues crucial design knowledge and epistemic challenges.

Conclusions:

An updated epistemological framework for EBD is necessary.
Developing this framework requires interdisciplinary dialogue.
Bridging design research and philosophy of science is crucial for EBD's evolution.