Realising potentials for arts-based sustainability science
Summary, in English
In recent years, a profusion of methods, practices, and experiences has emerged in the interface between arts and sustainability science. Drawing from two strong currents within sustainability science, namely, the emphasis on transdisciplinary approaches and the need to move towards societal transformations, such hybrid approaches seemingly contribute with unique methods to sustainability research. Despite repeated claims from sustainability scientists about art’s role in sustainability transformations, joint analyses with artists and practitioners are still rare. We conveyed a collaborative and exploratory workshop with scientists, artists, and practitioners from the fields of education, public engagement, and activism to identify the potentials for arts-based sustainability research. Participants were invited to facilitate and trial various artistic practices from disciplines of performative, literary, narrative, audio-visual and plastic arts. In this paper, we present five key areas identified in the workshop, where arts-based methods can significantly contribute to sustainability research: embracing more-than-cognitive aspects of knowledge, improving communication, grappling with power dynamics, shifting relationships to nature, and facilitating futures visioning. Workshop participants also identified challenges related to power dynamics, tensions across paradigms, and implementation conditions, providing insights into how to leverage arts’ potential to respond to global environmental challenges while boosting societal transformations. We then discuss research questions identified that address challenges and limitations for arts-based research in sustainability. Overall, these results suggest there are yet untapped resources and experiences within the field of arts-based sustainability science. (Audio-visual abstract available on S1).
- LUCSUS (Lund University Centre for Sustainability Studies)
- Social Sciences Interdisciplinary
- Knowledge systems
- ISSN: 1862-4065