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Role-Play Simulations for Decision Making in Contexts of Uncertainty

Challenges and Strategies When Engaging Elites as Participants

Bibliographic Data

ID12380229
AuthorsA Alejandro (0000-0002-3675-8986, London School of Economics and Political Science, corresponding author), Lucile Maertens (0000-0003-4744-9190, Graduate Institute of International and Development Studies), Zoé Cheli (0000-0003-4384-7714, University of Lausanne), Augustin Fragnière (0000-0002-4478-2724, University of Lausanne)
Year2024
Volume57
Issue3
Pages378-383
Publication date2024-01-26
Open AccessYes
TypeARTICLE
VenuePS Political Science & Politics (JOURNAL)
Journal identifiersISSN: 1049-0965 • E-ISSN: 1537-5935
PublisherCambridge University Press (CUP) (PUBLISHER)
DOI10.1017/s1049096523001166
OpenAlexW4391259439
LanguageEN
Citations received1
References cited24

This study explores the application of role-play simulations (RPS) in addressing complex challenges (e.g., the climate crisis) beyond traditional educational settings. Drawing from pilot simulations involving 12 scientific experts and 12 policy makers, the article identifies three key challenges in conducting RPS with elite participants and provides practical strategies for overcoming them. Namely, the article emphasizes the importance of adapting the scenarios to sociopolitical contexts, choosing an ethical recruiting method to ensure inclusivity, and managing group diversity while maintaining a balance between the playfulness and the seriousness of the simulation. Overall, our study underscores the potential of RPS to foster dialogue between scientific and political actors and provides practical guidance for their effective use

Diversity (politics · Elite · Engineering ethics · Management science · Political science · Politics · Public relations · Seriousness · Educational Games and Gamification · Engineering · Innovative Teaching Methodologies in Social Sciences · Law · Nonprofit Sector and Volunteering · Psychology

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Citations per year1
Citation span2026 - 2026 (1)
Highly citedNo

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