Year: 2025
Type: article
Abstract: This review paper examines two underutilized yet transformative drivers in addressing the climate crisis: (1) the role of cultural belief systems in fostering large-scale behavioral shifts toward sustainability, and (2) the use of participatory Artificial Intelligence (AI) methods to mitigate natural disaster risks, such as flooding. Despite their potential, both areas remain largely untapped. The first driver stems from persistent inertia in behavioral change, prompting the 2023 IPCC Report to call for an ‚inner transition‘—a cultural shift in which deeply held values shape socio-ecological behavior, encouraging individuals to move away from business-as-usual lifestyles. However, the mechanisms behind such a transition remain unclear, and empirical support for this approach is still emerging. The second driver highlights the untapped potential of advanced computational techniques in developing intelligent solutions for worsening ecological crises. AI development is often expert-driven, disconnected from societal needs and lived realities. To bridge this gap, inclusive technology co-design—engaging all societal groups, especially those most affected by climate change—is crucial. Additionally, effective mechanisms for networking, amplifying, and scaling these efforts are essential. This paper proposes an integrated, multi-method framework that unites both drivers, offering a novel approach to accelerating progress in climate action.
Source: Sustainability
DOI: 10.3390/su17094172
Author: Petra Ahrweiler
Institution: Johannes Gutenberg University Mainz
Language: English
Subfield: Sociology and Political Science
Field: Social Sciences
Domain: Social Sciences
SDG: Climate action
Open Access status: gold
Estimated APC paid: $2,896
OpenAlex ID: W4410082501