Contemporary and Future Challenges for Structured Democratic Dialogue

ABSTRACT Structured Democratic Dialogue (SDD) is a participatory problem structuring methodology grounded in Structured Dialogic Design Science. It was created to help diverse stakeholders co‐construct influence maps that reveal leverage points and support coordinated action. This paper addresses design choices for face‐to‐face workshops (participant numbers, duration, sequencing of problem/solution analyses), how to handle tangled or circular influence patterns (including time‐horizon considerations) and how to integrate feasibility/impact criteria with mapping outputs. It also explores barriers to wider take‐up—especially the scheduling of workshops alongside ongoing commitments, the limits of face‐to‐face working and beliefs that leadership could be undermined by stakeholder and community participation. Innovations in SDD to address these barriers are discussed. The paper closes by identifying three emerging challenges: immersive, online participation; scalability with methodological integrity; and human–machine collaboration using artificial intelligence (AI).

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Publication Details

Journal
Systems Research and Behavioral Science
Published
2026-09-11
DOI
https://doi.org/10.1002/sres.70122
Primary Topic
Design Education and Practice
Type
article
Field-Weighted Citation Impact
0.00
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article

Contemporary and Future Challenges for Structured Democratic Dialogue

Gerald Midgley, Yiannis Laouris
Systems Research and Behavioral Science
Design Education and Practice
article

Contemporary and Future Challenges for Structured Democratic Dialogue

Gerald Midgley, Yiannis Laouris
article en

Abstract

ABSTRACT Structured Democratic Dialogue (SDD) is a participatory problem structuring methodology grounded in Structured Dialogic Design Science. It was created to help diverse stakeholders co‐construct influence maps that reveal leverage points and support coordinated action. This paper addresses design choices for face‐to‐face workshops (participant numbers, duration, sequencing of problem/solution analyses), how to handle tangled or circular influence patterns (including time‐horizon considerations) and how to integrate feasibility/impact criteria with mapping outputs. It also explores barriers to wider take‐up—especially the scheduling of workshops alongside ongoing commitments, the limits of face‐to‐face working and beliefs that leadership could be undermined by stakeholder and community participation. Innovations in SDD to address these barriers are discussed. The paper closes by identifying three emerging challenges: immersive, online participation; scalability with methodological integrity; and human–machine collaboration using artificial intelligence (AI).

Systems Research and Behavioral Science
Australian National University (AU), University of Hull (GB), Linnaeus University (SE), The Schumacher Institute (GB), University of Birmingham (GB)
Openalex Percentile: Top 20%
Design Education and Practice
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