AI-Supported Participatory Workshops: Middle-Out Engagement for Crisis Events

Considering the lived experience of communities is key when making decisions in complex scenarios, such as preparing for and responding to crisis events. The article reports on three participatory workshops, which assigned community representative roles to workshop participants. Using role-playing as a method, participants were given the task of collaborating on making a decision relating to a speculative crisis scenario. Across the workshops, we collected data about simulating a middle-out engagement approach and the role of artificial intelligence (AI) in enhancing collaboration, supporting decision-making, and representing non-human actors. The article makes three contributions to participatory planning and design in the context of the UN Sustainable Development Goals. First, it presents insights about the use of AI in enhancing collaboration and decision-making in crisis event situations. Second, it discusses approaches for bringing more-than-human considerations into participatory planning and design. Third, it reflects on the value of role-playing as a way to simulate a middle-out engagement process, whereby actors from the top and the bottom collaborate towards making informed decisions in complex scenarios. Drawing on the findings from the workshops, the article critically reflects on challenges and risks associated with using AI in participatory workshops and collaborative decision-making.

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Publication Details

Journal
Urban Planning
Published
2025-01-27
DOI
https://doi.org/10.17645/up.9165
Citations
6
Primary Topic
Persona Design and Applications
Type
article
Field-Weighted Citation Impact
11.62

Funders

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article

AI-Supported Participatory Workshops: Middle-Out Engagement for Crisis Events

Xinyan Yu, Joel Fredericks, Martin Tomitsch, Alexandra Crosby et al.
6 citations
Urban Planning
Persona Design and Applications
11.62
article

AI-Supported Participatory Workshops: Middle-Out Engagement for Crisis Events

Xinyan Yu, Joel Fredericks, Martin Tomitsch, Alexandra Crosby, Weidong Huang, Marius Hoggenmüeller, Aaron Sung Lung Wong
article en
6 citations

Abstract

Considering the lived experience of communities is key when making decisions in complex scenarios, such as preparing for and responding to crisis events. The article reports on three participatory workshops, which assigned community representative roles to workshop participants. Using role-playing as a method, participants were given the task of collaborating on making a decision relating to a speculative crisis scenario. Across the workshops, we collected data about simulating a middle-out engagement approach and the role of artificial intelligence (AI) in enhancing collaboration, supporting decision-making, and representing non-human actors. The article makes three contributions to participatory planning and design in the context of the UN Sustainable Development Goals. First, it presents insights about the use of AI in enhancing collaboration and decision-making in crisis event situations. Second, it discusses approaches for bringing more-than-human considerations into participatory planning and design. Third, it reflects on the value of role-playing as a way to simulate a middle-out engagement process, whereby actors from the top and the bottom collaborate towards making informed decisions in complex scenarios. Drawing on the findings from the workshops, the article critically reflects on challenges and risks associated with using AI in participatory workshops and collaborative decision-making.

Urban PlanningVol. 10
University of Technology Sydney (AU), The University of Sydney (AU)
University of Sydney, University of Technology Sydney
Openalex Percentile: Top 2%
Persona Design and Applications
11.62
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