Search Results (403)

Background: There is an emerging need for new scalable behavioral assays, i.e., assays that are feasible to administer from the comfort of the person’s home, with ease and at higher frequency than clinical visits or visits to laboratory settings can afford us today. This need poses several challenges which we address in this work along with scalable solutions for behavioral data acquisition and analyses aimed at diversifying various populations under study here and to encourage citizen-driven participatory models of research and clinical practices. Methods: Our methods are centered on the biophysical fluctuations unique to the person and on the characterization of behavioral states using standardized biorhythmic time series data (from kinematic, electrocardiographic, voice, and video-based tools) in naturalistic settings, outside a laboratory environment. The methods are illustrated with three representative studies (58 participants, 8–70 years old, 34 males, 24 females). Data is presented across the nervous systems under a proposed functional taxonomy that permits data organization according to nervous systems’ maturation and decline levels. These methods can be applied to various research programs ranging from clinical trials at home, to remote pedagogical settings. They are aimed at creating new standardized biometric scales to screen and diagnose neurological disorders across the human lifespan. Results: Using this remote data collection system under our new unifying statistical platform for individualized behavioral analysis, we characterize the digital ranges of biophysical signals of neurotypical participants and report departure from normative ranges in neurodevelopmental and neurodegenerative disorders. Each study provides parameter spaces with self-emerging clusters whereby data points corresponding to a cluster are probability distribution parameters automatically classifying participants into different continuous Gamma probability distribution families. Non-parametric analysis reveals significant differences in distributions’ shape and scale (p < 0.01). Data reduction is realizable from full probability distribution families to a single parameter, the Gamma scale, amenable to represent each participant within each subclass, and each cluster of similar participants within each cohort. We report on data integration from stochastic analyses that serve to differentiate participants and propose new ways to highly scale our research, education, and clinical practices. Conclusions: This work highlights important methodological and analytical techniques for developing personalized and scalable biometrics across various populations outside a laboratory setting. Full article

In contemporary spatial planning, territorial resilience is rapidly gaining relevance, referring to a territory’s capacity to withstand, adapt to, recover from, and transform in response to environmental, social, and economic pressures. However, several constraints limit its operationalisation in planning. A key element to addressing this gap is to investigate where and which interventions are most urgently needed to tackle the impact of hazards on territories. This can be achieved by understanding and localising the vulnerabilities of territorial systems, thereby enabling the definition of appropriate mitigation and adaptation measures. This paper presents the application of R3C-GeoResilience, an open-source GIS tool and its methodological framework, which allows mapping territorial vulnerabilities across different geographical contexts and spatial scales. The methodology is applied to the Italian case of the Union of Bassa Romagna (UBR), aiming to build capacity for local practitioners to implement resilience thinking in decision-making processes. Findings underscore the potential of R3C-GeoResilience to enhance evidence-based planning and policymaking, supporting adaptive and transformative strategies to address territorial vulnerabilities. The application of the research demonstrates the replicability and adaptability of the methodological framework for integrating participatory vulnerability mapping into local governance and urban planning strategies, thereby enhancing the resilience of territories. Full article

This paper explores the methodological implications, processes, and opportunities relating to the use of participatory approaches in the study of intersecting inequalities. Within the context of an international, interdisciplinary project (Partnerships for Equality and Inclusion (PEI)), four sub-projects elected to use participatory methodologies to engage with marginalized and excluded communities so that their needs, voices, and knowledge were included in the data collection process and the dissemination of findings at micro (community) and macro (policy) levels. The four project teams in Kenya, Vietnam, Myanmar, and Nigeria engaged with training and research processes so that participants with lived experience could contribute both as peer researchers and in focus groups that contributed study data. In this paper, we bring together the findings and learning from each project about how these methods contributed to equity in the research process. We conclude with insights and recommendations on how participatory methods can enable an intersectional and grounded perspective from people facing multiple inequalities in periods of crisis and political change. Full article

This research examines the ongoing challenge of depopulation in rural areas, focusing on the municipality of Buenavista del Norte in the Canary Islands. The objective is to analyse how governance and local community participation can contribute to reversing rural decline and to identify concrete strategies for sustainable development. Depopulation significantly impacts the social and economic viability of small rural municipalities, exacerbating marginalisation and isolation. The study applies a qualitative methodology, including interviews with public representatives, key strategic sector informants, and participatory group dynamics, to identify projects and resources that could foster local development. A core focus is placed on the integration of tourism, particularly wine tourism, as a tool for economic diversification and combating rural decline. Despite the Canary Islands’ status as a mature tourist destination, rural areas have not equally benefited, with some experiencing stagnation. Results point to the relevance of public–private collaboration, community-based innovation, and participatory approaches that engage key actors from various sectors. These processes facilitate the identification of viable projects and reveal the potential of tourism and sustainable community initiatives to reduce regional disparities. The implications of this research highlight the need for integrated local development strategies, improved infrastructure, and quality public services as essential measures to confront demographic challenges in remote areas. The inclusive governance, combined with strategic planning and tourism-based innovation, offers a viable roadmap for revitalising rural municipalities and ensuring their long-term resilience. Full article

This study reviews the role of Child-Friendly Green Spaces (CFGS) in supporting children’s psychological, physical, and educational recovery following natural disasters. The main research question guiding this review is the following: how do CFGS contribute to holistic child well-being and resilience in disaster-affected contexts, and what barriers and strategies influence their effective integration into recovery frameworks? Employing a rigorous literature review methodology, we synthesized interdisciplinary evidence from environmental psychology, urban planning, public health, and education, encompassing studies published between 2000 and 2024. Findings demonstrate that CFGS significantly reduce trauma-related symptoms such as anxiety, depression, and post-traumatic stress, promotes physical health through active play, and foster educational engagement by improving concentration, attendance, and informal learning opportunities. Furthermore, CFGS contribute directly to multiple Sustainable Development Goals, particularly SDG 3 (Good Health and Well-being), SDG 4 (Quality Education), and SDG 11 (Sustainable Cities and Communities). Despite these advantages, CFGS are often overlooked in formal disaster recovery planning due to prioritization of immediate relief, financial and logistical challenges, and socio-cultural factors. To address these challenges, this study proposes a participatory, culturally sensitive framework for CFGS implementation, which integrates inclusive design, multi-sector collaboration, and ongoing monitoring and evaluation. Grounded in theoretical perspectives such as the Biophilia Hypothesis, Bronfenbrenner’s Ecological Systems Theory, and restorative environments, CFGS are reframed as critical infrastructures for children’s holistic recovery and resilience. The findings underscore the urgent need to embed CFGS within disaster recovery and urban planning policies to promote child-centered, sustainable community development. Full article

This study explores the transformative potential of cyber technologies in the preservation, representation, and restoration of architectural heritage. Bridging technical and humanistic dimensions, it examines how tools like Heritage Building Information Modeling (HBIM), As-Designed BIM, and Virtual Reality (VR) support deeper, multilevel, and multitemporal understandings of cultural sites. Central to the research is an experimental restoration project on the castles of Civitella in Val di Chiana (Arezzo), serving as a methodological testbed for a digitally integrated approach. Developed through a scan-to-BIM process, the project yields a high-fidelity immersive ecosystem—both a rigorous model for future restoration and a VR platform enabling access to previously unreachable spaces. Here, representation is not a secondary or illustrative phase but a central, operative component in historical interpretation and architectural design. This approach embraces cyber representation: a digitally mediated, interactive, and evolving form that extends heritage beyond its physical boundaries. The immersive model fosters renewed dialogue between past and present, encouraging critical reflection on material authenticity, spatial transformation, and conservation strategies within a dynamic, participatory, interactive webVR environment. Representation thus becomes a generative and narrative tool, shaping restoration scenarios while enhancing analytical depth and public engagement. The study ultimately proposes a shift in historical storytelling toward a polyphonic, experiential, cyber-mediated narrative—where technology, memory, and perception converge to create new forms of cultural continuity. Full article

The integration of traditional ecological knowledge (TEK) into contemporary landscape planning is hampered by a lack of methodological frameworks that can translate site-specific practices into generalizable design principles. This study addresses this gap by developing and applying an integrated analytical framework to decode the resilient Ruza farming system in Nagaland, India. Employing a mixed-methods approach that triangulates qualitative data (ethnographic observation, semi-structured interviews) with spatial analysis (drone-based orthomosaics), this research moves beyond mere description to extract a set of transferable socio-ecological design principles. The findings identify four core principles such as vertical integration, gravity-fed resource flow, closed-loop resource cycling, and participatory governance, that underpin the system’s functionality. By demonstrating a clear methodological pathway from fieldwork to framework, this research contributes a replicable “methodological bridge” for landscape architects and planners. While derived from a single case study, the framework offers a robust approach for applying the logic of TEK to create climate-resilient and culturally grounded designs in diverse contexts. Full article

Occupational environments often expose workers to physical and psychological stressors that compromise well-being and productivity. While biophilic design has gained attention, there remains limited systematic integration of Nature-Based Solutions (NbS) within workplace management frameworks. This review aims to map the empirical impacts of NbSs on occupational health, productivity, and environmental quality, and to identify key barriers and facilitators for their integration into comprehensive Quality, Environmental, Health, and Safety (QEHS) management systems. A scoping literature review was conducted in accordance with the PRISMA-ScR (Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews) guidelines. A comprehensive search was performed in the Scopus and Web of Science databases for studies published between 2019 and 2024. A total of 2452 records were initially retrieved, with 39 studies retained for synthesis following screening, eligibility assessment, and critical appraisal using the Joanna Briggs Institute checklist. Findings indicate that NbSs can reduce stress, improve physical and cognitive health, and enhance workplace productivity. Reported benefits include reduced absenteeism, improved indoor air quality, and measurable financial returns. However, significant challenges persist, including high upfront costs, ongoing maintenance demands, a shortage of specialized labor, and methodological heterogeneity across studies. In particular, hybrid approaches combining physical natural elements and immersive technologies such as virtual reality emerged as promising alternatives for spatially constrained environments. Participatory co-design and stakeholder engagement were also identified as critical success factors for effective implementation. Integrating NbSs into QEHS frameworks has the potential to foster healthier, more resilient, and sustainable workplaces. Alignment with recognized certifications can further support systematic adoption and monitoring. Future research should prioritize longitudinal designs, standardized outcome metrics, and physiological markers, while addressing geographical gaps through studies in underrepresented regions. Embedding participatory processes and certification alignment can enhance stakeholder buy-in and practical scalability, advancing the integration of NbSs into holistic workplace management strategies. Full article

In the context of today’s neoliberal governance of schooling, the psychological, emotional, cultural, and spiritual costs of internalized racism remain unaddressed. However, when Youth of Color embody internalized racial oppression (IRO), they become “psychologically homeless,” which affects their wellbeing in devastating ways. This article advances an anti-racist research agenda in education, suggesting that education researchers’ implementation of “healing methodologies” in school is key to tackling issues of IRO. To this end, this paper advocates for education researchers to embrace, incorporate, and combine art-based and walking approaches into participatory “healing methodologies” to provide students with embodied practices that can support them in exploring, reconciling, and repairing hidden injuries while re-establishing inner strength and equilibrium for wellbeing and body restoration. Full article

Nature-Based Solutions (NBSs) are increasingly financed in urban, regional, and national contexts due to their proven capacity to reduce climate risks and deliver multiple co-benefits. Several challenges affect the successful implementation and long-term maintenance of NBSs, especially in climate-sensitive and fragile urban territories (e.g., the Mediterranean basin), characterized by intense urbanization, environmental vulnerability, socio-economic disparities, and fragmented governance. Key barriers include difficulties in economically evaluating NBS benefits, uncertainty about their effectiveness under changing climate conditions, and implementing multi-functional projects with an interdisciplinary perspective. To address these challenges, a participatory process was conducted involving three thematic working tables focused on the following: (1) economic evaluation, (2) co-design for climate resilience, and (3) multi-functionality and disciplinary integration. All groups applied a shared SWOT (Strengths, Weaknesses, Opportunities, Threats) methodology structured in four phases: (i) individual reflection and collective brainstorming; (ii) collaborative SWOT matrix development; (iii) roadmaps formulation; and (iv) narrative synthesis and submission. Grounded in their knowledge and practical experiences, stakeholders identified operational barriers and strategic advantages to identify research gaps and designing adaptive, inclusive, and context-sensitive NBS roadmaps. Although the stakeholders were primarily based in Northern Italy, they also brought national and international experience, making the findings relevant and transferable to other urban areas in the Mediterranean and Europe, facing similar socio-environmental challenges and governance issues. Thus, the study supports more effective planning and governance in comparable contexts, emphasizing integrated and flexible approaches to address urban fragility and optimize projects governance and management. Full article

Nowadays, sustainable agriculture is emerging as a critical framework within which food production, environmental protection and resilience to climate change must go hand in hand. At the core of this framework are the linkages between soil, water, crops, and energy (SWCE). As pressures from climate change, population growth and agricultural land degradation intensify, environmental management strategies are called upon to become more interdisciplinary, targeted and cost-effective. This review article synthesizes recent scientific findings shaping the contemporary understanding of hydro-environmental agriculture and critically examines the conceptual foundation of the SWCE nexus under climate complexity. In addition to reviewing methodological approaches, it highlights both successful global practice examples—such as integrated solar-powered irrigation and conservation-oriented soil–water management systems—and failed or problematic implementations where institutional fragmentation, unsustainable groundwater use, or energy trade-offs undermined outcomes. By analyzing these contrasting experiences, the article identifies key limiting factors and enabling conditions for scaling up nexus-based solutions. Finally, it provides recommendations for future research, integration, and policy-making, emphasizing the importance of adaptive governance, participatory approaches, and cross-sectoral collaboration to enhance the sustainability and resilience of agriculture. Full article

This study investigates how the integration of artificial intelligence (AI) transforms job practices within a leading European infrastructure company. Grounded in the Feeling Economy framework, the research explores the shift in task composition following AI implementation, focusing on the emergence of new roles, required competencies, and the ongoing reconfiguration of work. Using a qualitative, single-case study methodology, data were collected through semi-structured interviews with ten employees and company documentation. Thematic analysis revealed five key dimensions: the reconfiguration of job tasks, the improvement of efficiency and quality, psychological and adaptation challenges, the need for AI-related competencies, and concerns about dehumanisation. Findings show that AI systems increasingly assume repetitive and analytical tasks, enabling workers to focus on strategic, empathetic, and creative responsibilities. However, psychological resistance, fears of job displacement, and a perceived erosion of human interaction present implementation barriers. The study provides theoretical contributions by empirically extending the Feeling Economy and task modularisation frameworks. It also offers managerial insights into workforce adaptation, training needs, and the importance of ethical and emotionally intelligent AI integration. Additionally, this study highlights that the Feeling Economy must address AI’s epistemic risks, emphasising fairness, transparency, and participatory governance as essential for trustworthy, emotionally intelligent, and sustainable AI systems. Full article

Small-Scale Mediterranean Cities (SSMCs) face unique development challenges—ranging from environmental pressures to heritage vulnerability—yet remain underrepresented in urban research. This study addresses this gap by proposing a context-sensitive analytical framework and applying it to six diverse SSMCs: Peñíscola (Spain), Mahdia (Tunisia), Marsala (Italy), Rethymno (Greece), Ayvalık (Türkiye), and Lefke (Cyprus). These cities were selected for their varied geographies, cultural assets, and planning contexts. Using a qualitative methodology based on policy analysis and secondary data, each case was evaluated across six principles: contextual urbanism, environmental stewardship, heritage integration, economic resilience, participatory governance, and adaptive planning. Findings show strong cultural identity and human-scale design across cases, but also widespread issues like fragmented planning and tourism dependency. Nonetheless, emerging local initiatives in sustainability and civic engagement highlight opportunities for reform. The study offers a unique and transferable framework for guiding inclusive, resilient development in small-scale Mediterranean contexts. Full article

This study analyzed the intersection between Afrodescendant ethnoeducation and the school-to-work transition in three marginalized communities of the Colombian Caribbean: La Boquilla, Tierra Bomba, and Libertad-Sucre. Using a qualitative methodology, the research reconstructed, on the one hand, the institutional framework of Afro-Colombian ethnoeducation since the 1991 Constitution, highlighting public policies implemented and their impacts. On the other hand, it examined the educational dynamics in these localities and their link (or lack thereof) to local labor markets, identifying innovations, limitations, and structural barriers affecting young people’s transition from school to work. The findings show that the Colombian ethnoeducational model has introduced curricular and participatory innovations aimed at enhancing cultural relevance and preparing students for productive life. However, its implementation faces persistent barriers including inadequate infrastructure, the legacies of internal armed conflict, structural racism, limited employment opportunities, and chronic public disinvestment. Despite valuable local initiatives—such as technical training in collaboration with the SENA (National Learning Service, Colombia’s public technical education system) in sectors like fishing and tourism—Afrodescendant youth continue to experience limited labor market integration. Finally, the article offers policy and practical recommendations from a decolonial ethnoeducational perspective, inspired by the pedagogy for liberation, to strengthen the school-to-work transition in contexts of vulnerability. Full article

Background: Theintegration of artificial intelligence (AI) into clinical decision support systems (CDSSs) has significantly enhanced diagnostic precision, risk stratification, and treatment planning. AI models remain a barrier to clinical adoption, emphasizing the critical role of explainable AI (XAI). Methods: This systematic meta-analysis synthesizes findings from 62 peer-reviewed studies published between 2018 and 2025, examining the use of XAI methods within CDSSs across various clinical domains, including radiology, oncology, neurology, and critical care. Model-agnostic techniques such as visualization models like Gradient-weighted Class Activation Mapping (Grad-CAM) and attention mechanisms dominated in imaging and sequential data tasks. Results: However, there are still gaps in user-friendly evaluation, methodological transparency, and ethical issues, as seen by the absence of research that evaluated explanation fidelity, clinician trust, or usability in real-world settings. In order to enable responsible AI implementation in healthcare, our analysis emphasizes the necessity of longitudinal clinical validation, participatory system design, and uniform interpretability measures. Conclusions: This review offers a thorough analysis of the state of XAI practices in CDSSs today, identifies methodological and practical issues, and suggests a path forward for AI solutions that are open, moral, and clinically relevant. Full article