Search Results (195)

Sustainable education requires addressing the challenges posed by digital transformation, including technostress among university students. This study evaluates technostress levels in higher education through the validation of the TS4US scale and its implications for sustainable learning environments. A cross-sectional study was conducted with 328 university students from four districts in Lima, Peru, using an online survey to measure technostress. Confirmatory factor analysis (CFA) was performed to assess the psychometric properties of the TS4US scale, resulting in a refined model with two latent factors and thirteen validated items. Findings indicate that 28% of students experience high technostress levels, while 5% report very high levels, though no significant associations were found between technostress and sociodemographic variables such as campus location, employment status, gender, and academic level. The TS4US instrument had been previously validated in Chile; this study confirms its structure in a new sociocultural context, reinforcing its cross-cultural applicability. These results highlight the need for sustainable strategies to mitigate technostress in higher education, including institutional support, digital literacy programs, and policies fostering a balanced technological environment. Addressing technostress is essential for promoting sustainable education (SDG4) and enhancing student well-being (SDG3). This study directly contributes to the achievement of Sustainable Development Goals 3 (Good Health and Well-being) and 4 (Quality Education) by providing validated tools and evidence-based recommendations to promote mental health and equitable access to digital education in Latin America. Future research should explore cross-country comparisons and targeted interventions, including digital well-being initiatives and adaptive learning strategies, to ensure a resilient and sustainable academic ecosystem. Full article

Digital transformation (DT) fundamentally reshapes how organisations operate, create value, and respond to complex environments through the integration of digital technologies. Beyond mere technical deployment, DT involves behavioural, strategic, and institutional changes. As these transformations are increasingly managed through projects and programmes, project management plays a pivotal role, not only in delivering these transformations but also in enabling them. However, the relationship between DT and project management remains fragmented and insufficiently explored. This paper addresses this gap by systematically reviewing 66 peer-reviewed articles using a qualitative thematic coding approach informed by sociotechnical systems theory. The analysis reveals four interrelated themes: methodologies and the sociotechnical integration of digital tools, misalignments in sociotechnical interfaces, governance and leadership, and industry- or project-specific transformation trajectories. Based on these findings, the paper proposes three key future research agenda: (1) embedding digital tools through methodological mediation and governance integration, (2) governance and leadership as strategic enablers, and (3) advancing sector-specific insights into DT. By offering a structured synthesis and a theory-driven research agenda, this review contributes to a more integrated understanding of how DT unfolds within project-based contexts and lays the groundwork for future interdisciplinary research. Full article

The transition to a decarbonised energy system in Ireland presents significant socio-technical challenges. This paper, focused on the work of the SMARTLAB project at the Citizen Innovation Lab in Limerick city, investigated the potential of a localised living lab approach to address these challenges. Engaging across 70 buildings and their inhabitants, the project captured the evolution of attitudes and intentions towards the clean energy transition in ways directly relevant to future policy implementation across grid redevelopment, smart service design, and national retrofit. Project methodology was framed by a living lab approach, with wireless energy and indoor environment sensors installed in participant buildings and participant journeys developed by harnessing the Citizen Innovation Lab ecosystem. The results indicate behaviour changes among participants, particularly focusing on indoor environmental conditions. The study concludes that embedded, localised living labs offer a methodological framework which can capture diverse datasets and encompass complex contemporary contexts towards transition goals. Full article

Video surveillance systems have become pervasive in contemporary society, prompting growing concerns about their psychological and behavioral effects on individuals. This study investigates how perceived surveillance influences self-censorship and behavioral regulation in monitored environments, drawing on the conceptual framework of panoptic self-regulation and surveillance-induced anxiety. A structured questionnaire was administered to 358 university students, and data were analyzed using exploratory and confirmatory factor analysis to validate latent constructs, followed by ordinal logistic regression and mediation analysis to test key hypotheses. The results indicate that individuals who perceive higher psychological pressure due to surveillance are more likely to modify their behavior, exhibiting heightened self-awareness and restraint. Additionally, belief in the active monitoring of surveillance footage significantly amplifies behavioral vigilance. The perception of the technological omnipresence of surveillance further intensifies psychological discomfort, which mediates behavioral change. These findings conceptualize video surveillance as a socio-technical system that exerts behavioral influence through internalized psychological mechanisms. The study highlights the importance of considering the unintended consequences of surveillance technologies on autonomy and freedom, and it suggests that regulatory frameworks should account not only for legal compliance but also for the psychological impact of surveillance. The results provide empirical support for viewing surveillance systems as dynamic regulators of human behavior. Full article

Agroecological transitions in collective urban gardens in Toulouse region were studied through the prism of global health (2011–2022). The specific meaning of “global health” in the context of urban gardens concerns the health of gardeners (well-being and physical health), plants, soil, and animals, as well as the interactions between humans and non-humans, which are crucial for gardeners. A sociotechnical research project was developed on four different collective gardening sites, consisting of the following: 1. surveys issued to 100 garden stakeholders to highlight issues and practices, participation in meetings with the social centers in charge of events, and focus groups; 2. participative agronomic and environmental measurements and field observations, including soil quality analyses; and 3. analysis of the available documentary corpus. In order to produce the results, these three research methods (surveys, agronomy, document analysis) were combined through a transdisciplinary approach, in that both the field experimentation outcomes and retrieved scientific publications and technical documents informed the discussions with gardeners. Consideration of the four different sites enabled the exploration of various contextual factors—such as soil or air quality—affecting the production of vegetables. A rise in the concerns of gardeners about the impacts of their activities on global health was observed, including aspects such as creating and enjoying landscapes, taking care of the soil and biodiversity, developing social connections through the transmission of practices, and regular outside physical activity and healthier eating. The increased consideration for global health issues by all stakeholders promotes the implementation of agroecological practices in gardens to improve biodiversity and adherence to circular economy principles. Four concepts emerged from the interviews: health, production of vegetables, living soil, and social interactions. Notably, nuances between the studied sites were observed, according to their history, environment, and organization. These collective gardens can thus be considered as accessible laboratories for social and agroecological experimentation, being areas that can strongly contribute to urban ecosystem services. Full article

Autonomous Parking Systems (APSs) are rapidly evolving, promising enhanced convenience, safety, and efficiency. This review critically examines the current strategies in perception, path planning, and vehicle control, alongside system-level aspects like integration, validation, and security. While significant progress has been made, particularly with the advent of deep learning and sophisticated sensor fusion, formidable challenges persist. This paper delves into the inherent trade-offs, such as balancing computational cost with real-time performance demands; unresolved foundational issues, including the verification of non-deterministic AI components; and the profound difficulty of ensuring robust real-world deployment across diverse and unpredictable conditions, ranging from cluttered urban canyons to poorly lit, ambiguously marked parking structures. We also explore the limitations of current technologies, the complexities of safety assurance in dynamic environments, the pervasive impact of cost considerations on system capabilities, and the critical, often underestimated, need for genuine user trust. Future research must address not only these technological gaps with innovative solutions but also the intricate socio-technical dimensions to realize the full potential of APS. Full article

The management of public health projects in a BANI (brittle, anxious, non-linear, incomprehensible) environment, exemplified by the ongoing war in Ukraine, presents unprecedented challenges due to fragile systems, heightened uncertainty, and complex socio-political dynamics. This study proposes an AI-driven framework to enhance the resilience and effectiveness of public health interventions under such conditions. By integrating a coupled SEIR–Infodemic–Panicdemic Model with war-specific factors, we simulate the interplay of infectious disease spread, misinformation dissemination, and panic dynamics over 1500 days in a Ukrainian city (Kharkiv). The model incorporates time-varying parameters to account for population displacement, healthcare disruptions, and periodic war events, reflecting the evolving conflict context. Sensitivity and risk–opportunity analyses reveal that disease transmission, misinformation, and infrastructure damage significantly exacerbate epidemic peaks, while AI-enabled interventions, such as fact-checking, mental health support, and infrastructure recovery, offer substantial mitigation potential. Qualitative assessments identify technical, organisational, ethical, regulatory, and military risks, alongside opportunities for predictive analytics, automation, and equitable healthcare access. Quantitative simulations demonstrate that risks, like increased displacement, can amplify infectious peaks by up to 28.3%, whereas opportunities, like enhanced fact-checking, can reduce misinformation by 18.2%. These findings provide a roadmap for leveraging AI to navigate BANI environments, offering actionable insights for public health practitioners in Ukraine and other crisis settings. The study underscores AI’s transformative role in fostering adaptive, data-driven strategies to achieve sustainable health outcomes amidst volatility and uncertainty. Full article

As cyber systems increasingly converge with physical infrastructure and social processes, they give rise to Complex Cyber–Physical–Social Systems (C-CPSS), whose emergent behaviors pose unique risks to security and mission assurance. Traditional cyber–physical system models often fail to address the unpredictability arising from human and organizational dynamics, leaving critical gaps in how cyber risks are assessed and managed across interconnected domains. The challenge lies in building resilient systems that not only resist disruption, but also absorb, recover, and adapt—especially in the face of complex, nonlinear, and often unintentionally emergent threats. This paper introduces the concept of ‘responsible resilience’, defined as the capacity of systems to adapt to cyber risks using trustworthy, transparent agent-based models that operate within socio-technical contexts. We identify a fundamental research gap in the treatment of social complexity and emergence in existing the cyber–physical system literature. To address this, we propose the E3R modeling paradigm—a novel framework for conceptualizing Emergent, Risk-Relevant Resilience in C-CPSS. This paradigm synthesizes human-in-the-loop diagrams, agent-based Artificial Intelligence simulations, and ontology-driven representations to model the interdependencies and feedback loops driving unpredictable cyber risk propagation more effectively. Compared to conventional cyber–physical system models, E3R accounts for adaptive risks across social, cyber, and physical layers, enabling a more accurate and ethically grounded foundation for cyber defence and mission assurance. Our analysis of the literature review reveals the underrepresentation of socio-emergent risk modeling in the literature, and our results indicate that existing models—especially those in industrial and healthcare applications of cyber–physical systems—lack the generalizability and robustness necessary for complex, cross-domain environments. The E3R framework thus marks a significant step forward in understanding and mitigating emergent threats in future digital ecosystems. Full article

The data on the volumetric radon activity of the Akchatau territory were systematized in the context of radioecological safety. Radon (Rn²²² and Rn²²⁰) and indoor radon (isotopes Po, Pb, and Bi) make a significant contribution to radon radiation in residential and industrial premises. Increased radon concentration in a number of areas is associated with the Akchatau tungsten–molybdenum mine. The source of radon in geological terms is acid leucocratic granites in the northwestern and southeastern parts of the studied territory. Seasonal assessment of radon radiation was carried out using modern devices “Alfarad Plus” and “Ramon-Radon”. Frequency analysis of the average annual equivalent equilibrium concentration (EEC) in 181 premises showed that only in 47.5% of the premises does the volumetric radon activity not exceed the current standards (200 Bq/m³). Differentiated values of radon concentration were obtained in cases where daily and seasonal observations were carried out. In 43.1% of premises, the effective dose varies from 6.6 mSv/year to 33 mSv/year, and for 9.4% of premises, from 33 mSv/year to 680 mSv/year. The increased radon concentration is caused by high exhalation from the soil surface, the radioactivity of building materials, and low air exchange in the surveyed premises. In the northwestern part of Akchatau, anomalous zones were found where the exposure dose rate of gamma radiation exceeds 0.6 mkSv/hour. An objective assessment of radon largely depends on a number of factors that take into account the geological, technical, atmospheric, and climatic conditions of the region. Therefore, when planning an optimal radon rehabilitation strategy, it is necessary to take the following factors into account: the design features of residential premises and socio-economic conditions. Practical recommendations are given for radiation-ecological and hygienic monitoring of radon safety levels in the environment to reduce effective doses on the population. Full article

The air transportation system is composed of multiple elements and belongs to a complex socio-technical system. It is difficult to assess the risk of an aircraft fault because it could constantly change during operation and is influenced by numerous factors. Although traditional methods such as Failure Mode, Effects, and Criticality Analysis (FMECA) and Fault Tree Analysis (FTA) can reflect the degree of fault risk to a certain extent, they cannot accurately quantify and evaluate the fault risk under the multiple influences of human factors, random faults, and external environment. In order to solve these problems, this article proposes a fault risk assessment method for aircraft control systems based on a fault risk composite assessment framework using the Improved Risk Priority Number (IRPN) as the basis for the fault risk assessment. Firstly, a Bayesian network (BN) and Gated Recurrent Unit (GRU) are introduced into the traditional evaluation framework, and a hybrid prediction model combining static and dynamic failure probability is constructed. Subsequently, this paper uses the functional resonance analysis method (FRAM) by introducing a risk damping coefficient to analyze the propagation and evolution of fault risks and accurately evaluate the coupling effects between different functional modules in the system. Finally, taking the fault of a jammed flap/slat drive mechanism as an example, the risk of the fault is evaluated by calculating the IRPN. The calculation results show that the comprehensive failure probability of the aircraft control system in this case is 3.503 × 10⁻⁴. Taking into account the severity, the detection, and the risk damping coefficient, the calculation result of IRPN is 158.00. According to the classification standard of the risk level, the failure risk level of the aircraft belongs to a controlled risk, and emergency measures need to be taken, which is consistent with the actual disposal decision in this case. Therefore, the evaluation framework proposed in this article not only supports a quantitative assessment of system safety and provides a new method for fault risk assessments in aviation safety management but also provides a theoretical basis and practical guidance for optimizing fault response strategies. Full article

Conventional approaches in architecture and urban planning still rest on modernist, deterministic assumptions that downplay the nonlinearity and deep uncertainty that characterize contemporary cities. Sustainability, although crucial, has often been operationalized through incremental, efficiency-oriented checklists that struggle to address systemic transformation. This conceptual theory synthesis reframes the built environment as a complex adaptive system and interrogates three paradigms that have arisen in the wake of the sustainability turn: resilience planning, adaptive planning, and regenerative design. Drawing on an integrative, narrative review of interdisciplinary scholarship, the article maps these paradigms onto a functional “what–how–why” theoretical scaffold: resilience specifies what socio-technical capacities must be safeguarded or allowed to transform; adaptive planning sets out how planners can steer under conditions of deep uncertainty through sign-posted, flexible pathways; and regenerative design articulates why interventions should move beyond mitigation toward net-positive socio-ecological outcomes. This synthesis positions each paradigm along an uncertainty spectrum and identifies their complementary contributions. Full article

Open Source Software (OSS) development is a complex socio-technical system in which collaborator attitudes influence the outcomes. This study empirically analyzes the impact of participant sentiment (positive, neutral, negative) on productivity, defined by Pull Requests (PR), Lines of Code (LoC), and interactions (as indicated by comment volume). Data on PRs, LoC, and comments, were collected from 20 top GitHub repositories. SentiStrength-SE was used to classify participant sentiment based on average comment sentiment. Appropriate nonparametric statistical and correlation analyses were performed. The results showed that contributors with positive sentiments have the highest productivity and interaction. Negative-sentiment contributors also significantly outperform the neutral group in both areas. The neutral group consistently ranks the lowest. The general patterns are as follows: positive > negative > neutral. The strongest positive correlations between productivity and interaction are observed in the positive-sentiment group. These findings empirically demonstrate that the sentiment levels of collaborators are significantly associated with OSS productivity and engagement, offering insights into socio-technical dynamics. Fostering a positive environment is a key strategy for enhancing OSS performance and sustainability. Full article

The traditional chemical safety management method mainly relies on manual inspection and empirical judgment, which is incompetent in the face of the increasingly complex production environment and colossal data volume, and there is an urgent need to apply efficient modern emerging technologies to strengthen the safety management of chemical production sites. Therefore, this dissertation researches chemical safety risk factor identification and analysis predicated on improved LDA topic model and Bayesian network. Thirty-three main risk factors are obtained by constructing the LDA topic model, text mining, and thematic analysis of chemical safety accident cases and combining them with the socio-technical system accident model. The correlation and causal relationship between risk factors were revealed based on association rule mining and Bayesian network analysis. Sensitivity and critical causal path analyses were utilized to indicate the possible paths and vital aspects of accident development. The results show that the text mining LDA topic model proposed in the dissertation performs well in analyzing accident reports and can effectively solve the problems of insufficient analyzing ability and high subjectivity of traditional methods. The research method of the thesis can efficiently extract the keywords of accident reports and reveal the correlation and causality between risk factors. Full article

Citizen observatories (COs) have emerged as essential research infrastructures for participatory science, supporting data collection and community engagement. They enable communities to monitor their environments, actively track indicators aligned with the Sustainable Development Goals (SDGs), and contribute valuable data to scientific research and evidence-based, informed policy-making. Despite their growing importance, COs remain conceptually fluid, with varying interpretations across disciplines and contexts. This paper examines the evolution of COs from their origins in the early 2010s to their current multifaceted roles, revealing three key dimensions: descriptively as socio-technical systems, instrumentally as research infrastructures, and normatively as advanced participatory science initiatives. We specifically highlight the critical role of COs as research infrastructures and propose a set of essential functions and characteristics. These functions range from providing technical capabilities for data collection and quality assurance to social dimensions, including community building and governance frameworks. Additionally, our analysis identifies two operational models: tailored COs designed for specific projects and open COs supporting multiple initiatives. Reframing COs as research infrastructures rather than isolated initiatives emphasizes the need for long-term institutional support, shared services, and coordinated policies to ensure their sustainability and maximize their contribution to both scientific knowledge and public participation, ultimately strengthening the foundations of participatory science. Full article

Engineers’ work impacts society and the environment and plays a central role in delivering on the United Nations Sustainable Development Goals. However, developing sustainability skills in engineering programs competes with a dense technical curriculum and has proven challenging. The mainstream adoption of generative AI (GAI) tools has prompted a review of teaching and learning, with expanding possibilities as new use cases emerge. This study reviews the impact that GAI is having on engineering education and proposes a framework for the use of GAI to facilitate greater socio-enviro-technical integration in the engineering curriculum. Based on a scoping review of the literature and a conceptual analysis, this paper provides a forward-looking perspective. Artificial intelligence (AI) is also transforming the practice of engineering, triggering the need to adjust graduate attributes accordingly. The increased productivity expected with the rise of AI in the workplace can scale-up the impact of engineering developments and underscores the need for graduates’ sustainability skills. Furthermore, engineers have a prominent role in the development of AI systems. Therefore, in advocating for the need to enhance graduate’s sustainability skills, we emphasize understanding its limitations and the sustainability of AI systems to address the paradox of AI for sustainability and the sustainability of AI itself. Full article