The art of blurring the lines: From passive spectatorship to activating immersion for innovative and inclusive climate-neutral and Smart Cities

Hatem, Faten Mostafa

Abstract

The paper seeks to clarify the ways in which art could help empowers the residents with higher agency and two-way communication as part of a Green Transition and more open smart cities governance (i.e. the dimension that examines bringing multiple stakeholders together to solve common problems, improve public services and digitally manage smart cities). Also, it explains the motive behind place-based and art-based methods used as part of the methodology of on ongoing research at the University of West England-Bristol; Liveable Neighbourhoods as Catalyst for a Green Transition through an Interdisciplinary Intervention of Art, Place and Technology. The study explains the necessary change in the design and dynamic of ways to ensure sustainable momentum in terms of the Green Transition and interest in people`s involvement in city-making, participation and inclusive decision-making processes. Therefore, it offers a deeper insight to useful ways of exploring and reshaping different relationships in and with the smart city motivated by making the most out of human-technology interaction or purposeful synergy and collaborative intelligence that is empowered by place-based and art-led methods. Different systematic and non-systematic techniques and methods of data collection were used in searching and filtering of resources and literature. The paper starts with Sustainability, Pluralism and Restorative Environments, then moves to matters of Governing, Imagining, and Understanding the city, followed by a debate around Spectatorship, Immersion, and Activation, and ends with making the case for Moving towards Reflexivity, Resilience, and Pluralism.

Citation

Hatem, F. M. The art of blurring the lines: From passive spectatorship to activating immersion for innovative and inclusive climate-neutral and Smart Cities

• Deposit Date: Mar 1, 2024
• Public URL: https://uwe-repository.worktribe.com/output/11491582