Search Results (213)

This study focuses on Shanghai, a pioneer city in China’s community renewal practices. In recent years, community renewal driven by civic participation has become a prominent research topic, leading to the emergence of numerous exemplary cases in Shanghai. However, field investigations revealed that many projects have experienced varying degrees of physical deterioration and a decline in spatial vitality due to insufficient maintenance, reflecting unsustainable outcomes. In response, this study examines a bottom-up community renewal project led by the research team, aiming to explore how broad civic participation can promote sustainable community renewal. A multidisciplinary approach incorporating perspectives from ecology, the humanities, economics, and sociology was used to guide citizen participation, while participatory observation methods recorded emotional shifts and maintenance behavior throughout the process. The results showed that civic participatory actions under the guidance of sustainability principles effectively enhanced citizens’ sense of community identity and responsibility, thereby facilitating the sustainable upkeep and operation of community spaces. However, the study also found that bottom-up efforts alone are insufficient. Sustainable community renewal also requires top-down policy support and institutional safeguards. At the end, the paper concludes by summarizing the practical outcomes and proposing strategies and mechanisms for broader application, aiming to provide a reference for related practices and research. Full article

(1) Background: Analyses using participatory GIS (PGIS) data have primarily focused on reporting landscape values (e.g., subsistence, spiritual) or activities (e.g., hunting, meditation) and less frequently on identifying patterns of value and activity co-occurrence. This paper explores whether consistent combinations of landscape values and activities associated with meaningful places identified by visitors—referred to as “bundles”—emerge across protected areas. These bundles represent the cognitive-behavioral components of sense of place. (2) Methods: We used exploratory factor analysis on aggregated PGIS data collected between 2011 and 2017 to identify value-activity bundles across three protected areas administered by the Forest Service in the northwestern United States. (3) Results: We found no universal bundles of landscape values and activities across the protected areas, limiting the ability to describe consistent sense of place bundles. Instead, relationships between landscape values and activities varied across areas. Weak associations between them highlight heterogeneity in how individuals perceive and interact with meaningful places, reflecting the subjective and context-dependent nature of the sense of place. (4) Conclusions: These findings suggest that identifying visitor “types” for outreach and planning may be more nuanced than anticipated. To provide diverse opportunities for visitors to protected areas, planners and decision-makers may need to move beyond standard audience segmentation practices and consider the context-dependent nature of sense of place. Full article

This article discusses the importance of cultural identity for ethnic youth, considering the challenges they face as migrants or from migrant backgrounds. It then develops the idea of using safe cultural spaces as a culturally responsive model of care for these youth. The data used are drawn from a qualitative study with 35 African heritage youth living in Aotearoa–New Zealand as participants. The study was guided by participatory action research (PAR) methodology principles. Data was collected using research workshops (adaption of focus groups) and qualitative survey questionnaires. PAR’s transformative lens, narrative inquiry, and inductive thematic analysis were used to identify and analyse the reported themes. Findings show that ethnic youth value their cultural identities primarily because, in the context of migration, where they constantly navigate multiple levels of social exclusion and marginality, it confers a sense of personhood, uniqueness, and belonging. However, trying to live their multiple cultures authentically presents many challenges. Accordingly, intentional initiatives that are culturally responsive and holistic are critical to support them in navigating this process healthily. Creating safe cultural spaces is proposed as a model of care. The article reports and discusses youth perspectives on what these spaces and the model of care would entail. Full article

This study proposes a practical integration of an existing deep learning model (YOLOv9-E) and social participation GIS using multi-source remote sensing data to identify asbestos-containing materials located on the side of a building affected by light occlusions. These objects are often undetectable by traditional vertical or oblique photogrammetry, yet their precise localization is essential for effective removal planning. By leveraging the mobility and responsiveness of citizen investigators, we conducted fine-grained surveys in community spaces that were often inaccessible using conventional methods. The YOLOv9-E model demonstrated robustness on mobile-captured images, enriched with geolocation and orientation metadata, which improved the association between detections and specific buildings. By comparing results from Google Street View and field-based social imagery, we highlight the complementary strengths of both sources. Rather than introducing new algorithms, this study focuses on an applied integration framework to improve detection coverage, spatial precision, and participatory monitoring for environmental risk management. The dataset comprised 20,889 images, with 98% being used for training and validation and 2% being used for independent testing. The YOLOv9-E model achieved an mAP50 of 0.81 and an F1-score of 0.85 on the test set. Full article

Citizen engagement in urban planning is vital for democratic governance and sustainable development. While technologies such as e-governance platforms and mobile applications have facilitated participatory processes, their success ultimately hinges on citizen acceptance. This study investigates the factors influencing female citizens’ acceptance of a participatory urban planning application, employing a theoretical model based on the technology acceptance model (TAM) and its associated hypotheses. Data were collected through a survey of 390 women and analyzed using partial least squares structural equation modeling (PLS-SEM) via SmartPLS_3.2.8. The results demonstrate that perceived usefulness (β = 0.634, p < 0.001) and perceived ease of use (β = 0.321, p < 0.001) significantly predict intention to use, whereas perceived privacy risk exerts a negative influence (β = −0.190, p < 0.001). Environmental attitude (β = 0.396, p < 0.001) and attitude toward participation (β = 0.315, p < 0.001) also enhance perceived usefulness. Due to the impact of the environmental and participatory attitudes of citizens and their social environment on their acceptance of these apps, there is an urgent need to increase the level of citizen awareness and knowledge through targeted education. These findings offer valuable insights for both theoretical advancement and practical policy development in regards to urban governance. Full article

This article carries out an interdisciplinary analysis of five MOOC courses developed by the University of Valladolid and offered on higher education platforms between 2020 and 2024. This research is based on the study of the lexical categories used by the informants participating in these courses, establishing a correlation with the theoretical and practical debates surrounding the definition of heritage and the frameworks of contemporary heritage education. Through a metalinguistic approach, the semantic limits of the emerging lexical categories are examined, paying attention to their ambiguity, polysemy and contexts of use, both from a formal linguistic perspective and from a hermeneutic approach. The analysis is based on natural language processing tools, complemented by qualitative techniques from applied linguistics and cultural studies. This dual approach, both scientific–statistical and humanistically nuanced, allows us to identify recurrent discursive patterns, as well as significant variations in the conceptualization of heritage according to the socio-cultural and geographical profiles of the participants. The results of the linguistic analysis are contrasted with the thematic lines investigated by our research group, focusing on cultural policy, legacy policies, narratives linked to the culture of depopulation, disputed scientific paradigms, and specific lexical categories in the Latin American context. In this sense, the article takes a critical look at discursive production in massive online learning environments, positioning language as a key indicator of the processes of cultural resignification and the construction of legacy knowledge in the Ibero-American context. The findings of my scientific article underscore the pressing need for a multiform liberation of the traditionally constrained concept of heritage, which has long been framed within rigid institutional, legal, and disciplinary boundaries. This normative framework, often centered on materiality, monumentalism, and expert-driven narratives, limits the full potential of heritage as a relational and socially embedded construct. My research reveals that diverse social agents—ranging from educators and local communities to cultural mediators and digital users—demand a more flexible, inclusive, and participatory understanding of heritage. This shift calls for redefining legacy not as a static legacy to be preserved but as a dynamic bond, deeply rooted in affective, symbolic, and intersubjective dimensions. The concept of “heritage as bond”, as developed in contemporary critical theory, provides a robust framework for this reconceptualization. Furthermore, the article highlights the need for a new vehiculation of access—one that expands heritage experience and appropriation beyond elite circles and institutionalized contexts into broader social ecosystems such as education, digital platforms, civil society, and everyday life. This approach promotes legacy democratization, fostering horizontal engagement and collective meaning-making. Ultimately, the findings advocate for a paradigm shift toward an open, polyphonic, and affective heritage model, capable of responding to contemporary socio-cultural complexities. Full article

Reviews of literacy coaching show positive outcomes for teaching and learning, yet also that coaching’s impact varies widely, especially at increased scale. Thus, some scholars argue the quality of coaching interactions may matter more than broad coaching actions (e.g., co-planning, observing). Situated within Habermas’s notion of “public sphere”, we used discourse analysis to examine video-recorded pre- and post-interviews, coaching meetings, and coach retrospective think-aloud protocols of a literacy coach and elementary school teacher who described their partnership as “successful”. We examined participants’ values expressed about coaching; how each participant positioned themselves, each other, and the coaching context; and the nature of the coach–teacher discourse therein to answer the following question: what occurs in the interactional space between a coach and teacher when engaged in coaching meetings? We found four categories of values focused on participatory choice, their sense of connectedness, knowledge development, and their approach to working with/as a coach. Further, participants’ positionings signified agency for both the coach and teachers in the interactional space. While bracketing and leveraging their own authority, the coach’s language choices promoted teachers’ agency within the interactional space, providing insight into how language functions to shape the “public sphere” of coaching interactions. Full article

Students who enter higher education as independent students do not bring with them the financial and familial support that their dependent counterparts experience. When these needs are not met, their likelihood of graduating is decreased. One method that has shown promise for addressing support that promotes belonging and well-being is peer mentorship. The following study presents data collected from students at a western, urban, Hispanic Serving Institution (HSI) who participated in a program designed for supporting financial, academic, and emotional needs of independent students. A community based participatory research (CBPR) framework was implemented to design the peer mentorship model, develop the evaluation plan, complete data collection and analysis, and guide dissemination. We used a mixed methods design collecting both survey and listening tour data simultaneously regarding students’ support networks, sense of belonging, and perspectives of the peer mentoring model. While the evidence for the efficacy of peer mentorship is abundant, the inclusion of a CBPR framework in higher education has not been well explored. Key findings demonstrated that the use of a CBPR framework for development and evaluation of peer mentoring increased the mentor’s sense of belonging and increased engagement with their community. Similarly, mentees identified that peer mentorship increased their sense of belonging, particularly when their mentor had a shared identity, beyond that of student, that allowed for an unspoken understanding of lived experience. Recommendations for higher education to support the emotional well-being and sense of belonging among independent students will be presented. Full article

This study investigates the impact of human resource management (HRM) practices—specifically planning, recruitment, training, and motivation—on dimensions of career quality (job security, promotion equity, and participatory decision-making) among employees of the Jordan Electricity Distribution Company (JEDCO). Utilizing a quantitative cross-sectional survey design, data were collected from 173 employees, allowing for an in-depth exploration of their perceptions and experiences regarding HRM practices. The findings reveal that both training and motivation significantly enhance career quality, with employees who receive advanced training reporting a stronger sense of job security and an increased likelihood to participate in decision-making processes. In contrast, the effects of recruitment and planning practices were found to be marginal due to perceived biases and strategies that fail to adequately address the long-term needs of the workforce. Despite moderate overall career quality scores, key areas for improvement were identified, particularly in job security and employee involvement. This study offers actionable recommendations for JEDCO, such as implementing AI-driven recruitment tools to mitigate nepotism and developing gamified training modules to enhance skill development. Furthermore, it underscores the importance of integrating HRM reforms into Jordan’s National Energy Strategy, thereby supporting Sustainable Development Goal 8. This research represents the first empirical examination linking HRM practices to career quality in Jordan’s energy sector, offering a framework applicable to public utilities in emerging economies (e.g., Lebanon’s EDL). This research extends Social Exchange Theory into non-Western hierarchical contexts, demonstrating how bureaucratic inertia and tribal affiliations weaken reciprocity dynamics—a novel boundary condition contrasting Western-centric SET models. Full article

Background/Objectives: This article addresses an exploratory design study in the framework of the REMIND research study, which is focused on the importance of cultural and biographical components for the cognitive and sensory stimulation of persons with dementia. Through a case study conducted at a Day Centre from the Alzheimer Portugal association, it aims to demonstrate the relevance of including cultural elements in sensory stimulation artefacts for persons with dementia. It is hypothesised that the inclusion of cultural elements central to the biographical stories of these persons will have greater potential to stimulate their senses and reminiscences. In the context of this study, this hypothesis was explored through textile artefacts. Methods: Methods included participant observation, sensory and visual ethnography, interviews, focus groups, and a participatory design approach involving women with moderate and advanced Alzheimer’s disease and health professionals. Due to the severely compromised verbal communication abilities of some of the women, beyond-verbal communication strategies were adopted. Results: The results showed that textiles with a cultural presence tended to elicit greater reactions and reminiscences of events associated with the women’s life stories. Crochet artefacts were of particular relevance: women’s involvement in activities with crochet artefacts was substantially higher and, in certain cases of women with moderate dementia, these artefacts activated positive memories of the person, suggesting the potential of crochet for sensory stimulation. Conclusions: The results support the hypothesis; however, further research exploring other cultural elements and involving a broader demographic is needed. Based on the results obtained, a sensory blanket was developed, which is already in use at the Centre. Full article

Effective incident detection is essential for emergency response and transportation management. Traditional methods relying on stationary technologies are often costly and provide limited coverage, prompting the exploration of crowdsourced data such as Waze. While Waze offers extensive coverage, its data can be unverified and unreliable. This study aims to identify factors affecting the reliability of Waze alerts and develop a predictive model to distinguish true incidents from false alerts using real-time Waze data, thereby improving emergency response times. Real crash data from the New Jersey Department of Transportation (NJDOT) and crowdsourced data from Waze were matched using the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm to differentiate true and false alerts. A binary logit model was constructed to reveal significant predictors such as time categories around peak hours, road type, report ratings, and crash type. Findings indicate that the likelihood of accurate Waze alerts increases during peak hours, on streets, and with higher report ratings and major crashes. Additionally, multiple machine learning-based predictive models were developed and evaluated to forecast in real time whether Waze alerts correspond to actual incidents. Among those models, the Random Forest model achieved the highest overall accuracy (82.5%) and F1-score (82.8%), and an Area Under the Receiver Operating Characteristic Curve (AUC-ROC) of 0.90, demonstrating its robustness and reliability for real-time incident detection. Gradient Boosting, with an AUC-ROC of 0.90 and Area Under the Precision–Recall Curve (AUC-PR) of 0.90, also performed strongly, particularly excelling at predicting true alerts. The analysis further emphasized the importance of key predictors such as time of day, report ratings, and road type. These findings provide actionable insights for enhancing the accuracy of incident detection and improving the reliability of crowdsourced traffic alerts, supporting more effective traffic management and emergency response systems. Full article

Non-EU international students encounter considerable challenges in social integration, cultural adaptation, and emotional well-being within UK higher education. Despite this, the role of internet memes as a form of participatory digital media in mediating these experiences has not been extensively studied. This paper examines how non-EU students at a British university utilise memes to manage cross-cultural identity and daily stressors. Employing an Experience-Centred Design (ECD) approach, our qualitative research involved 20 participants through digital cultural probes, semi-structured interviews, and co-design workshop. We discovered that memes serve a dual role: they provide emotional bridges that foster a sense of belonging through shared humour, yet they also risk exclusion due to cultural opacity. We introduce the concept of “negotiated humour”, which requires cross-cultural explanation and reduces comedic spontaneity but enhances intercultural understanding. Furthermore, we identify a continuum of meme usage that reflects different phases of acculturation, ranging from expressing frustrations to creating hybrid cultural expressions. This study contributes to cross-cultural adaptation theory by highlighting memes as boundary objects in identity negotiation. We suggest design implications for culturally sensitive platforms, such as contextual footnotes, and institutional interventions like meme-based orientation activities to exploit humour’s potential for fostering inclusive dialogue. Our research highlights how transient digital humour can provide deep insights into identity, community, and the complex dynamics of cross-cultural adaptation. Full article

Watersheds are threatened by numerous issues, such as climate change, population growth, urban expansion, and industrial development. These issues are complex and interconnected, and effectively addressing them requires integrating the values, knowledge, and expertise of various governing bodies, local organizations, and community members, all of whom have their own viewpoints and priorities. The current study employs a participatory approach and systems lens to engage different stakeholders in the complexity of watershed issues and management approaches. Using participatory modeling and semi-quantitative scenario analysis techniques, the study identifies relationships among watershed values, challenges, and strategies as well as the dynamics of these relationships. A fuzzy cognitive map was developed, which consists of 53 nodes (i.e., 13 values, 12 challenges, and 28 strategies) and 113 connections. Biodiversity, mental health, and sense of place emerged as key values, as they exhibited high centrality values when analyzing the system, and challenges like invasive species and urban sprawl were found to exert considerable impacts on these values. Strategies such as establishing and expanding greenspace, community stewardship, and governance-based interventions were identified as critical for addressing watershed challenges and enhancing watershed values. The study identified a series of governance-based strategies that focus on resource allocation, participatory governance, and institutional collaboration to address watershed management challenges as well as a set of engagement-based strategies that focus on environmental communication and public awareness. The study demonstrates the potential that participatory modeling and semi-quantitative analysis techniques can have for integrating both tangible, measurable values and intangible, difficult-to-measure values into planning and policymaking. The research reinforces the idea that local governments play a critical role in fostering inclusive and collaborative watershed management strategies. Full article

This study aimed to check whether physical signs of children’s presence in the urban space have an impact on sense of safety and preferences. We based the study on an intra- and inter-group design, whereby respondents assessed two types of space: housing estates and green areas. The photos were manipulated to create three scenarios: control (without elements related to children), denotation (spaces supplemented with children’s playgrounds), and connotation (spaces containing elements associated with children). Each scenario was assessed by a separate group of respondents, who were further split between men and women. Analyses have shown that in residential districts, spaces with child-related connotations foster a feeling of safety and enhance the general appeal of the place, especially among women. In turn, direct signs of the presence of children (denotation) have a lesser impact on the positive assessment of the space. In green areas, adding child-related details did not affect women’s feelings but lowered men’s evaluations of safety and preference. The findings suggest that elements associated with children should be used selectively, taking into account the type of space and differences in perception between the sexes. These observations can support the creation of sustainable urban environments: safe and inclusive housing estate and park designs, especially in the context of building cities that foster social integration without exclusions. This is a preliminary study that paves the way for further exploration of the topic. In order to be able to analyse adults’ preferences and safety in more depth, it seems interesting to investigate the shared perception of landscape by children and adults and the possibilities of participatory design of public spaces. Full article

The enactive approach offers a powerful theoretical lens for designing artificial intelligence (AI) systems intended to support the health and well-being of non-neurotypical individuals, including those on the autism spectrum and those with with ADHD, dyslexia, or other forms of neurodivergence. By emphasizing embodiment, relationality, and participatory sense-making, enactivism encourages AI-based interventions that are highly personalized, context-sensitive, and ethically aware. This paper explores how existing AI applications—ranging from socially assistive robots and virtual reality (VR) therapies to language-processing apps and personalized treatment planning—may be enhanced by incorporating enactivist principles. Despite their promise, practical adoption of AI technologies in real-world clinical practice remains limited, and persistent challenges such as algorithmic bias, privacy concerns, and the tendency to overlook subjective dimensions raise cautionary notes. Drawing on relevant philosophical literature, empirical studies, and cross-disciplinary debates (including the friction and potential synergies between predictive processing and enactivism), we argue that AI solutions grounded in enactivist thinking can more effectively honor user autonomy, acknowledge the embodied nature of neurodiverse cognition, and avoid reductive standardizations. This expanded, revised version integrates insights on neurodiversity, mental health paradigms, and the ethical imperatives of AI deployment, thereby offering a more comprehensive roadmap for researchers, clinicians, and system developers alike. Full article