Search Results (110)

The rubber industry is facing major socio-economic and environmental constraints. Rubber-based agroforestry systems represent a more sustainable solution through the diversification of income and the provision of greater ecosystem services than monoculture plantations. Participative approaches are known for their ability to co-construct solutions with stakeholders and to promote a positive impact on smallholders. This study therefore implemented a participatory research process with stakeholders in the natural rubber sector for the purpose of improving inclusion, relevance and impact. Facilitation training sessions were first organised with academic actors to prepare participatory workshops. A working group of stakeholder representatives was set up and participated in these workshops to share a common representation of the value chain and to identify problems and solutions for the sector in Indonesia. By fostering collective intelligence and systems thinking, the process is aimed at enabling the development of adaptive technical solutions and building capacity across the sector for future government replanting programmes. The resulting adaptive technical packages were then detailed and objectified by the academic consortium and are part of a participatory plant breeding approach adapted to the natural rubber industry. On-station and on-farm experimental plans have been set up to facilitate the drafting of projects for setting up field trials based on these outcomes. Research played a dual role as both knowledge provider and facilitator, guiding a co-learning process rooted in social inclusion, equity and ecological resilience. The initiative highlighted the potential of rubber cultivation to contribute to climate change mitigation and food sovereignty, provided that it can adapt through sustainable practices like agroforestry. Continued political and financial support is essential to sustain and scale these innovations. Full article

This paper presents a qualitative case study on the design, implementation, and validation of the Art Nouveau Path, a mobile augmented reality game developed to foster sustainability competences through engagement with Aveiro’s Art Nouveau built heritage. Grounded in the GreenComp framework and developed through a Design-Based Research approach, the game integrates location-based interaction, narrative storytelling, and multimodal augmented reality and multimedia content to activate key competences such as systems thinking, futures literacy, and sustainability-oriented action. The game was validated with 33 in-service schoolteachers, both through a simulation-based training workshop and a curricular review of the game. A mixed-methods strategy was used, combining structured questionnaires, open-ended reflections, and curricular review. The findings revealed strong emotional and motivational engagement, interdisciplinary relevance, and alignment with formal education goals. Teachers emphasized the game’s capacity to connect local identity with global sustainability challenges through immersive and reflective experiences. Limitations pointed to the need for enhanced pedagogical scaffolding, clearer integration into STEAM subjects, and broader accessibility across technological contexts. This study demonstrates that these games, when grounded in competence-based frameworks and inclusive design, can meaningfully support multimodal, situated learning for sustainability and offer valuable contributions to pedagogical innovation in Education for Sustainable Development. Full article

Uniquely rooted in regenerative leadership and complemented by Complexity Leadership Theory (CLT), this conceptual essay offers a theoretical exploration of how educational institutions can act as dynamic systems that catalyze adaptive, community-led responses to anthropocentric socio-environmental crises. Rather than sustaining existing structures, educational leadership for regeneration seeks to restore ecological balance and nurture emergent capacities for long-term resilience. Positioned as key sites of influence, educational institutions are explored as engines of innovation capable of mobilizing students, educators, and communities toward collective environmental action. CLT offers a valuable lens for understanding how leadership emerges from nonlinear, adaptive processes within schools, enabling the development of innovative, collaborative, and responsive strategies required for navigating complexity and leading planetary-positive change. Drawing on a synthesis of the recent global literature, this paper begins by outlining the need to go beyond sustainability in envisioning regenerative futures, followed by an introduction to regenerative principles. It then examines the current and evolving role of educational leadership, the relevance in enabling whole-institution transformation, and how this relates to regenerative practices. The theoretical frameworks of systems thinking and CLT are introduced before noting their application within regenerative educational leadership. The final sections identify implementation challenges and offer practical recommendations, including curriculum innovation, professional development, and youth-led advocacy, before concluding with a call for education as a vehicle for cultivating planetary-conscious citizens and systemic change. This work contributes a timely and theoretically grounded model for reimagining educational leadership in an era of global turbulence. Full article

The reduction in greenhouse gas emissions must be accelerated. Countries that are signatories to the Paris Agreement must propose their nationally determined contributions and develop decarbonization strategies to achieve conditional targets. In this paper, we identify a gap between these strategies and the capacity of governments to execute them. We use design science to structure this problem and apply Value-Focused Thinking (VFT) methodology to identify strategic objectives and to define prioritization criteria for the proposed actions. We then combine this with the Soft System Methodology (SSM) to identify alternative means to achieve net zero. We identify some critical issues that have an impact on implementing decarbonization strategies: (a) the large number of proposed actions; (b) agents affected by decarbonization actions that are not under the control of the government responsible for managing the strategy; and (c) the level of readiness of available technologies and the economic conditions for their implementation. Thus, this paper presents (1) a process to support implementing decarbonization strategies (PIMADE); (2) a combined use of the VFT and SSM methodologies for structuring problems to organize decision objectives and to establish actions for implementing strategies; and (3) an application of the proposed process at the subnational governmental level in Brazil. Full article

Urban decarbonisation requires governance models that overcome the fragmentation and rigidity of traditional urban planning. This article presents a systemic and digital framework for managing urban decarbonisation portfolios aligned with the EU Mission for Climate-Neutral and Smart Cities. Grounded in systems thinking and portfolio theory, this study develops an analytical taxonomy and an interactive digital tool to support strategic coordination, multistakeholder collaboration, and adaptive decision-making. The framework is empirically validated through the case of Madrid’s Climate City Contract, demonstrating its functionality and transferability. Using a mixed-method approach—combining co-creation workshops, interviews, document analysis, and iterative prototyping—this research maps interdependencies among projects, actors, and levers of change. The digital tool enables real-time visualisation of collaboration patterns, gaps, and synergies, enhancing strategic foresight and coordination capacity. Findings reveal that 75% of initiatives in Madrid’s CCC address climate adaptation, 80.36% are linked to knowledge generation, and key anchor projects serve as integrative hubs within the portfolio. This study concludes that the portfolio approach strengthens systemic innovation and reflexive governance by integrating digital infrastructures with collaborative planning processes. While challenges persist—including data integration, institutional capacity, and political dynamics—this research offers a replicable methodology for embedding mission-oriented strategies into urban governance. The digital portfolio emerges as a complementary governance tool that enhances transparency, organisational learning, and alignment across governance levels. Full article

Sustainability research encompasses diverse theories and frameworks focused on promoting sustainable economic ($E$), social ($S$), and environmental ($Env$) systems. However, integrated approaches to sustainability challenges have been impeded due to the absence of a unified analytical framework in the field. This study investigated how foundational and emerging theories, including resilience thinking, systems theory, and planetary boundaries, could be synthesized to develop an Integrated Sustainability Model (ISM) that captures nonlinear feedback, adaptive capacities $A_i\left(t\right)$, and threshold effects across these domains. The ISM model employs a system dynamics approach, where the rates of change for $E$, $S$, and $Env$ are governed by coupled differential equations, each influenced by cross-domain feedback (${\alpha }_i$ and ${\beta }_i$), adaptive capacity functions, and depletion rates (${\gamma }_i$). The model explicitly incorporates boundary constraints and adaptive capacity, operationalizing the dynamic interplay and co-evolution of sustainability dimensions. Grounded in an integrative perspective, this research introduces the Synergistic Resilience Theory (SRT), which proposes optimal sustainability arises from managing economic, social, and environmental systems as interconnected, adaptive components of a resilient system. Theoretical analysis and conceptual simulations demonstrated that high adaptive capacity and positive cross-domain reinforcement foster resilient, synergistic growth, while reduced capacity or breaches of critical thresholds ($En{v}_{\mathrm{m}\mathrm{i}\mathrm{n}}$ and $S_{\mathrm{m}\mathrm{i}\mathrm{n}}$) can lead to rapid decline and slow recovery. These insights illuminate the urgent need for integrated, preventive policy interventions that proactively build adaptive capacity and maintain system resilience. This research, by advancing a mathematically robust and conceptually integrative framework, provides a potent new lens for developing empirically validated, holistic sustainability strategies within sustainability research. Full article

The integration of artificial intelligence (AI) in education has profoundly transformed the learning landscape, offering significant opportunities for personalized, flexible, and efficient educational practices. This study explores the impact of AI on academic learning, focusing on the perceptions and behaviors of students from Valahia University of Târgoviște, Romania (N = 250). By analyzing the students’ use of AI tools such as learning assistants and content generation systems, this research identifies the factors influencing the integration of AI into educational practices. Using a quantitative approach with a self-administered online questionnaire, this study tested hypotheses regarding the influences of age, field of study, and self-reported AI usage on students’ perceptions of its impact on academic performance, motivation, and the development of essential skills such as critical thinking and learning autonomy. Statistical analyses were conducted using SPSS V26, and Spearman’s correlation revealed significant relationships between AI competency and perceptions of academic performance (ρ = 0.261, p < 0.001), personalized learning (ρ = 0.196, p = 0.002), and motivation (ρ = 0.234, p < 0.001). The results highlight AI’s potential to revolutionize educational practices by providing personalized learning experiences, stimulating motivation, and promoting lifelong learning skills. This research deepens the understanding of AI’s role in higher education and its implications for future learning models, emphasizing its capacity to transform both students and educators. Full article

This study proposes a multimodal deep learning model for automated scoring of image-based divergent thinking tests, integrating visual and semantic features to improve assessment objectivity and efficiency. Utilizing 708 Chinese high school students’ responses from validated tests, we developed a system combining pretrained ResNet50 (image features) and GloVe (text embeddings), fused through a fully connected neural network with MSE loss and Adam optimization. The training set (603 images, triple-rated consensus scores) showed strong alignment with human scores (Pearson r = 0.810). Validation on 100 images demonstrated generalization capacity (r = 0.561), while participant-level analysis achieved 0.602 correlation with total human scores. Results indicate multimodal integration effectively captures divergent thinking dimensions, enabling simultaneous evaluation of novelty, fluency, and flexibility. This approach reduces manual scoring subjectivity, streamlines assessment processes, and maintains cost-effectiveness while preserving psychometric rigor. The findings advance automated cognitive evaluation methodologies by demonstrating the complementary value of visual-textual feature fusion in creativity assessment. Full article

China’s Yellow (Bohai) Sea bird habitat is an important ecological region. Its unique ecology and challenges provide rich resources for research and study. Our course design concept is supported by AI technology, and improves students’ abilities through innovative functions such as dynamic data support, personalized learning paths, immersive research and study experience, and diversified evaluation mechanisms. The course content revolves around the “human–land coordination concept”, including pre-trip thinking, research and study during the trip, and post-trip exhibition learning, covering regional cognition, remote sensing image analysis, field investigation, and protection plan display activities. ERNIE Bot participates in optimizing the learning path throughout the process. The course evaluation system starts from the three dimensions of “land to people”, “people to land”, and the “coordination of the human–land relationship”, adopts processes and final evaluation, and uses ERNIE Bot to achieve real-time monitoring, data analysis, personalized reports, and dynamic feedback, improving the objectivity and efficiency of evaluation, and helping students and teachers optimize learning and teaching. However, AI has limitations in geographical research and study, such as insufficient technical adaptability, the influence of students’ abilities and habits, and the adaptation of teachers’ role changes. To this end, optimization strategies such as improving data quality and technical platforms, strengthening student technical training, enhancing teachers’ AI application capabilities, and enriching AI functions and teaching scenarios are proposed to enhance the application effect of AI in geographical research and promote innovation in educational models and student capacity building. Full article

With the rapid development of digital technology, the role of digitalisation in urban governance continues to emerge. Building a theoretical analysis framework and evaluation system of digitally driven urban governance has important theoretical and practical significance for stimulating the efficiency of digital technology tools and improving the energy level of urban digital governance. This paper aims to explore the mechanism of urban governance enabled by digital technology, innovatively change the previous thinking mode that only attaches importance to facility construction and e-government platforms, adopt ecological thinking, and comprehensively consider the role of “soft elements” such as strategic support, industrial support, the security environment, talent support, and the market environment. Then, the extreme value variance method and the coefficient of variation method are used to calculate the overall capacity and secondary index scores of each city, and the standard deviation of secondary index scores is used to represent the sub-environmental balance of the cross-sectional data of China’s provinces. In order to further explore which indicators restrict the improvement of China’s urban digital governance capacity, this study also constructs an obstacle degree model. The results show the following: (1) The overall capability of China’s digitally driven urban governance is low, with a total score of 27.25, indicating that China’s digitally driven urban governance is in its infancy. (2) There is a significant development imbalance among Chinese provinces, with Beijing ranking first with a score of 81.16, and Tibet, Qinghai, Xinjiang, Heilongjiang, and Ningxia scoring less than 13.30 points, ranking as the bottom 5 among the 31 provinces. (3) The shortcomings of talent support, industrial support, and the security environment restrict the improvement of the entire digital ecological governance ability. Full article

The application of the resilience concept within socioecological systems has recently received much attention. Assessing the characteristics of cocoa agroecosystems in the dry and moist semi-deciduous ecological zones has become critical for resilience analysis in this era of climate change and the constant shrinking of cocoa suitability areas. Previous studies have used one of the dimensions of resilience to analyse complex adaptive systems, excluding critical factors and variables. This study applied a multi-criteria decision-making process, the Analytic Hierarchy Process (AHP) that accommodates the three dimensions of resilience, i.e., buffer capacity, adaptive capacity and self-organisation. The AHP is a multi-criteria decision-making tool that proceeds with the design of a hierarchy system for the goal, criteria, attributes and variables. Selected cocoa farmers were assigned weights related to criteria, attributes and variables in a comparison matrix. The resilience of the cocoa agroecosystems in Offinso Municipal and Adansi North Districts was 2.75 ± 0.06 (mean ± SD) and 3.23 ± 0.10 (mean ± SD), respectively. Buffer capacity contributed the highest proportion (44.3%) in the Offinso Municipal District, followed by adaptive capacity (38.7%) and self-organisation (17%). A similar trend was recorded for the Adansi North District: buffer capacity (42.9%), adaptive capacity (42.9%) and self-organisation (14.3%). Across the two study areas, shade trees, crop diversification, soil quality, cocoa variety, farm size, farm age, alternative livelihood, annual income and co-operative membership contributed prominently to the construction of cocoa agroecosystem resilience. The assessment of agroecosystem resilience is location-specific, and the study provides a simplified methodology for evaluating resilience. The paper aims to understand the importance of the components of the cocoa agroecosystem, and a simplified methodology for evaluating its resilience to perturbations. It presents a conceptual and methodological framework for the analysis and measurement of agroecosystem resilience in a participatory manner. Full article

The Irish Food Vision 2030 (IFV 2030) seeks to restructure Ireland’s agricultural food system to deliver long-term social, economic, and environmental sustainability in keeping with its commitment to the European Green Deal and the 2030 Sustainable Development Goals. This study investigates the effectiveness of the IFV 2030 in delivering on this commitment across the fresh produce supply chain in Ireland using a combination of data collected from stakeholders through a survey and systems thinking principles. A review of the literature and Foucault’s genealogical methods guided the development of the survey. Systems thinking principles were used to review the IFV 2030 and assess its capacity to deliver large-scale change for a sustainable Irish food system. Barriers to change were identified, including historical patterns of behaviour between EU and Irish policymakers that have repeatedly hindered progress towards large-scale change events. The results demonstrate that successful, long-term change will depend on the involvement and incentives of stakeholders within the supply chain. Continuous stakeholder engagement is required through a bottom-up organisational and supply chain approach to deliver long-term sustainability within the fresh produce sector. Using a systems thinking lens brings benefits through transdisciplinary collaboration and fosters the multiple stakeholder perspectives needed to deliver new ideas and solutions. Full article

Ecological reflexivity provides a key lever for the implementation of the Sustainable Development Goals (SDGs) but is underexplored in one prominent context: collaborative governance particularly associated with SDG 17. Using an exploratory study and novel approach to Q methodology, we investigate capabilities needed for advancing collaborative governance and cross-sector partnering through an exploratory study. Rather than treating these capacities as universal standards or aims for collaboration between varied stakeholders, they were offered as options that actors may value and choose to advance (or not). Local sustainability-focused actors in North West England sorted capabilities as statements, which discursively reframe multi-stakeholder partnership (MSP) building blocks. The first analysis reveals three viewpoints that we name: The Convener, The Connector, and The Chair. The themes of communicative coordination, reflexivity, and power emerged in the three viewpoints, expressing distinct discourses. A separate, second analysis explores a viewpoint encompassing capabilities needed for ecological reflexivity. Our findings demonstrate possible barriers to some approaches valued in the MSP literature such as systems thinking. Finally, in our action research setting, it is possible that the methodology itself facilitated ecological reflexivity and offered entry points to enable agency in the context of SDG 17 and collaboration of diverse actors towards SDG implementation. Full article

This paper presents a framework for implementing improvement science in a district or educational organization. Findings from interviews with 17 experienced educational improvers indicate critical elements for a school district to effectively support and build the capacity of individuals and teams situated at multiple levels in the district in organizing, implementing, and sustaining improvement science methods. Utilizing a systems-thinking approach, this study conceptualizes how to institutionalize improvement science across an educational organization. To institutionalize the use of improvement science, district leaders must center schools and integrate the work in existing structures, offer support, and create coaching, growth management, and knowledge management plans. Full article

Healthcare services and spaces are recognized as complex ecosystems where different user categories interact daily facing often urgent and difficult situations that challenge the established organizational and procedural models. The increasingly evolving needs and conditions influencing the processes affect the capacity to quickly adapt the available operational models as well as spaces to provide a timely and efficient response. This calls for new approaches and methods to enable the managing staff to overcome the conventional silos-based structure and integrate new methods and tools to facilitate interdisciplinary analysis and synergies. Some frontrunning healthcare structures started to adopt Service Design practices, which are largely grounded in the Design Thinking approach, to reshape the conventional models for improving the quality of user experience with remarkable expected impacts on social, economic, and environmental sustainability in the mid-long run. Following the rigorous investigation structure of Systemic Review, the paper explores the adoption of Service Design practices in frontrunner experiences focusing on organizational aspects to draft a reference framework, including successful factors, barriers, and viable pathways, which are currently missing. The main scope of the paper is accordingly to address the detected gaps in clarifying methods tools and goals of Service Design-oriented practices for improving healthcare processes and user experience quality. The main reported findings highlight the importance of introducing Co-Design and participative practices to integrate specialistic perspectives and organizational aspects as well as to engage all the key players at different levels. Full article