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Report . 2025
License: CC BY
Data sources: Datacite
ZENODO
Report . 2025
License: CC BY
Data sources: Datacite
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GCS4 Case Study Rooftop Revolution Cyprus

Authors: Merry, Anna;

GCS4 Case Study Rooftop Revolution Cyprus

Abstract

This report is an overview of the case study ‘Rooftop Revolution’ (GCS4). ‘Rooftop Revolution’ is the fourth case study in the EU Horizon-funded project GREAT – Games Realising Effective and Affective Transformation (https://www.greatproject.gg/). The case study centres around a co-designed serious game developed to be utilized as a facilitation tool between citizens and policy makers. Through learning and role-play scenarios, target groups were able to: voice their attitudes towards climate policies; gain valuable insights into specific initiatives; and enhance their acceptance of green infrastructure and sustainable urban planning. ‘Rooftop Revolution’ was implemented from October 2023 until December 2024 in Cyprus. The case study was led by an academic partner in the GREAT project, Frederick University and was sponsored by Urban Gorillas, an NGO active in urban regeneration and community engagement in transformations of public spaces. The study began as a pilot and was extended to a full case due to the strong interest from the case study sponsor. The case study engaged policy makers, architects, urban planners, design students, property owners and residents in a participatory process on the topic of greening privately multi-owned rooftops. The focus of the case study is a co-designed serious game developed in collaboration with Serious Games Interactive (SGI) partner in the GREAT project. A series of 7 face to face serious dilemma games took place during the case study including 97 participants. The game was split into two parts: In part 1 players played themselves; and during part 2 they engaged in role-play. Participants explored: Benefits & Opportunities; Challenges & Barriers; Incentive Schemes and Fairness of Incentives. In-game data was collected via: participant voting and ranking; free text input; and word clouds, as well as voice recordings of the participants' discussions. Game play was further evaluated through participant debriefs, focus groups, expert interviews and feedback forms. Results show that this innovative method of consultation allowed for the exchange of diverse opinions and constructive disagreements, enhancing realism in discussions and overall, participants positively evaluated their participation as they felt that the game sessions allowed for personal learning and perspective-taking. The usefulness of the GREAT methodology was confirmed by a request of a follow-up project by a local municipality, as well as the interest and request of urban design educators to utilise the serious dilemma game within their educational initiative. Findings suggest that serious games can be a powerful tool for urban planning consultation as well as other policy areas related to climate change initiatives and policy areas, providing an interactive and engaging platform for policy discussion and community-driven solutions. The study underscores the potential of game-based learning in environmental policy development. Conclusions of the case study and its success suggest that future research should explore scaling the methodology, adapting it for different urban challenges, and further evaluating its long-term impact on stakeholder decision-making and policy adoption.

Keywords

Serious games, Citizen Science, Urban regeneration, Greening roof spaces, Serious games as consultation tool, DiBL, Environment, Citizen science, Policy dilemma, GREAT project, Rooftop utilisation, Climate policies, Social dilemmas, Dilemma Games, Environmental and community benefits, Green Roofs, Citizen engagement, Policy stakeholder collaboration, Rooftop revolution

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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