Encyclopedia, Volume 6, Issue 1 (January 2026) – 28 articles

Digital transformation in port logistics represents a profound and systemic shift in the way maritime trade and supply chain operations are designed, coordinated, and governed through the pervasive integration of advanced digital technologies and data-driven management practices. It extends beyond the mere digitization of paper-based documents into electronic formats and beyond the digitalization of isolated processes with IT tools. Transformation involves reconfiguring organizational structures, decision-making logics, and value creation models around connectivity, automation, and predictive intelligence. In practice, it includes the adoption of smart port technologies such as the Internet of Things, 5G communication networks, digital twins, blockchain-based trade documentation, and artificial intelligence applied to vessel scheduling and cargo planning. It also encompasses collaborative platforms like port community systems that link shipping companies, terminal operators, freight forwarders, customs, and hinterland transport providers into data-driven ecosystems. The purpose of digital transformation is not only to improve efficiency and reduce operational bottlenecks, but also to enhance resilience against disruptions, ensure sustainability in line with decarbonization goals, and reposition ports as orchestrators of trade networks rather than passive providers of physical infrastructure. Full article

Branding refers to the distinctiveness of an organization that differentiates it from its competitors and builds loyalty with customers. Brand trust is the confidence consumers have in a company to deliver consistently against their expectations of the brand. Brand equity is the commercial value that a brand has and is linked to consumer perception and loyalty. Culture refers to the expected behaviors of a defined group of people, e.g., customers. Brand activism is when an organization takes a visible ideological stance associated with a specific issue or social concern. Socio-political branding refers to the practice of using brand activism specifically to connect with certain key stakeholder groups. Full article

Smart-city last-mile rail access, referred to in this entry simply as last-mile access, captures how travelers connect to and from rail stations during the first or last leg of a journey. It encompasses both the design of multimodal connections and the experience of accessibility that results from them. On the supply side, last-mile access involves the coordination of walking, cycling, micromobility, and feeder transit with rail services, supported by digital systems that unify planning, ticketing, and payment. On the demand side, it reflects how efficiently and equitably travelers can reach stations within these coordinated networks. Together, these physical and institutional dimensions extend the functional reach of rail, reduce transfer barriers, and reinforce its role as the backbone of sustainable urban mobility. As cities strive to reduce car dependency while promoting inclusivity and accessibility, last-mile access has become a key indicator of how infrastructure, technology, and governance intersect to deliver more equitable transportation systems. Full article

Artificial intelligence (AI) refers to autonomous or semi-autonomous systems capable of interpreting data, generating inferences, and guiding decisions, thereby reshaping the foundations of work and organizational processes. Its rapid integration into productive settings gives rise to emerging risks, understood as new or evolving hazards that stem from human–machine interaction, algorithmic decision-making, and shifting sociotechnical conditions. Within occupational safety and health (OSH), these risks encompass novel cognitive, psychosocial, organizational, and ethical challenges, making it necessary to develop preventive frameworks that align technological innovation with human well-being, transparency, and responsible governance. Full article

This review critically examines the implementation of Universal Design for Learning (UDL) in science education, providing an integrative overview of research, methodologies, and disciplinary applications. The first section explores UDL across educational stages—from early childhood to higher education—highlighting how age-specific adaptations, such as play-based and outdoor learning in early years or language- and problem-focused strategies in secondary education, enhance engagement and equity. The second section analyses science-specific pedagogies, including inquiry-based science education, the 5E model (Engage, Explore, Explain, Elaborate, Evaluate), STEM/STEAM approaches, and gamification, demonstrating how their alignment with UDL principles fosters motivation, creativity, and metacognitive development. The third section addresses the application of UDL across scientific disciplines—biology, physics, chemistry, geosciences, environmental education, and the Nature of Science—illustrating discipline-oriented adaptations and inclusive practices. Finally, a section on multiple scenarios of diversity synthesizes UDL responses to physical, sensory, and learning difficulties, neurodivergence, giftedness, and socio-emotional barriers. The review concludes by calling for enhanced teacher preparation and providing key ideas for professionals who want to implement UDL in science contexts. Full article

This entry introduces an integrated model of reading that situates the Lexical Quality Hypothesis (LQH) within the Reading Systems Framework (RSF). The LQH posits that skilled reading depends on high-quality lexical representations—precise and flexible mappings of orthographic, phonological, morpho-syntactic, and semantic features—stored in the mental lexicon. These representations facilitate automatic word identification, accurate meaning retrieval, and efficient word-to-text integration (WTI), forming the foundation of text comprehension. Extending this micro-level perspective, the RSF positions lexical quality (LQ) within a macro-level cognitive architecture where the lexicon bridges word identification and reading comprehension systems. The RSF integrates multiple knowledge systems (linguistic, orthographic, and general world knowledge) with higher-order processes (sentence parsing, inference generation, comprehension monitoring, and situation model construction), emphasizing the bidirectional interactions between lower-level lexical knowledge and higher-order text comprehension. Central to this model is WTI, a dynamic mechanism through which lexical representations are incrementally incorporated into a coherent mental model of the text. This integrated model carries important implications for theory refinement, empirical investigation, and evidence-based instructional practices. Full article

Greece’s 2010–2018 adjustment programmes provide an insightful case of how timing of reforms, institutional frictions, and digital transformation jointly condition the outcomes of macroeconomic stabilization efforts. This review builds on programme evaluations, recent academic work, and empirical indicators to analyze the dynamics at the intersection of macroeconomic adjustment, institutional quality, and entrepreneurship, placing emphasis on productivity and the evolving role of digital governance. The paper argues that the asymmetric sequencing of fiscal consolidation, internal devaluation, institution-building, and digital modernization is consistent with deeper and more persistent output losses than initially anticipated, as complementary reforms in product markets and public administration were not yet in place. Recovery momentum was observed when administrative simplification, transparency reforms, and digital public services began to reduce transaction costs, uncertainty, and implementation frictions. In this perspective, digital governance—through initiatives such as Diavgeia, and interoperable registries—acted as an enabling complement to the effectiveness of structural reforms, supporting the shift towards a more innovation-oriented entrepreneurial ecosystem. While the evidence is associative rather than causally identified, the synthesis highlights mechanisms and transferable lessons for the design and sequencing of reform programmes in crisis and recovery contexts. Full article

This entry aims to enhance the legislative cost estimation system in South Korea by conducting a comparative analysis with the Congressional Budget Office (CBO) in the United States. The analysis reveals significant structural divergences between the two systems. First, the US system operates under binding fiscal rules like PAYGO, whereas the South Korean system functions primarily as an informational tool. Second, a severe workload imbalance exists; South Korean analysts at the National Assembly Budget Office (NABO) handle approximately 12.7 times more estimates annually than their US counterparts, placing a substantial burden on personnel. Third, unlike the US, South Korea lacks institutional mechanisms to alleviate this workload or enforce the utilization of cost estimates. The findings suggest that expanding NABO’s analytical workforce and institutionalizing the linkage between cost estimates and legislative decision-making are essential for improving fiscal efficiency. Full article

Since the introduction of Carol Dweck’s landmark work in mindset, many scholars have studied the impact of a change in mindset on learning, behavior, and health. National and international large-scale studies have validated the consistent correlation between learners developing a growth mindset (knowing that they can learn and improve) and performance on learning outcomes and longer-term learning behaviors. Whilst mindset interventions can have a positive impact on student learning, recent years have shown the need for more than a change in messaging. For widescale and lasting improvements in mathematics learning, messages need to be specific to mathematics, and delivered through a change in teaching approach, with mindset ideas infused through teaching practices and through assessment. This paper shares the evidence on the need for a “mathematical mindset” approach and the wide scale benefits that the approach promises to bring about. Full article

Financial markets are increasingly shaped by opaque price controls influenced by the rising prominence of algorithmic and AI-driven systems in price determination. While much of the current research on algorithmic trading and market microstructure has emphasised aspects such as efficiency, liquidity, and model clarity, there has been less focus on the broader implications of assigning inference, execution, and learning tasks to adaptive algorithms. This entry presents a conceptual framework that aims to elucidate how algorithmic systems fundamentally alter price discovery. It highlights the centralisation of epistemic authority, the diminishing of human interpretative capabilities, and the emergence of “rational opacity”. This condition allows prices to remain informationally efficient while obscuring the causal relationships between information and price formation, making them difficult to comprehend for human participants both prior to and in real-time. We introduce the Algorithmic Price Discovery Loop, a theoretical model that connects algorithmic inference, automated execution, feedback-driven learning, and the resulting asymmetry in market-wide interpretation. The framework not only provides critical theoretical insights but also proposes testable propositions and outlines various empirical avenues for investigating algorithmic authority and opacity across different market contexts. Furthermore, the discussion addresses governance implications, recognises the limitations of existing regulatory frameworks, and highlights potential crises that could arise in AI-driven financial markets. Full article

Academic Development (AD) represents a fundamental strategy for improving the quality of university teaching in the digital era. This entry proposes a critical analysis of technologies supporting AD, examining theoretical models, emerging practices, and contemporary challenges through a systematic review of academic literature. The TPACK (Technological Pedagogical Content Knowledge) framework emerges as a crucial model for the effective integration of educational technologies, while innovative approaches such as blended learning, flipped classroom, and communities of practice demonstrate significant potential in promoting teaching innovation. However, the analysis highlights structural criticalities: resistance to change, lack of institutional recognition, technological pedagogical gaps, and identity tensions related to the teaching role. The concept of “Age of Evidence” orients future perspectives toward evidence-based, personalized, and collaborative programs. The entry concludes with operational recommendations for policymakers and institutions, emphasizing the need for systemic investments that valorize teaching as a core scholarly activity. The original contribution lies in the critical integration of established theoretical frameworks with analysis of post-pandemic transformations and in identifying strategic directions to make universities “transformative” in addressing global challenges of sustainability, technological innovation, and critical thinking education. Full article

Social–emotional development in early childhood lays the groundwork for school readiness, healthy relationships, and long-term well-being. Parents play a pivotal role in this process, shaping children’s emotional awareness, regulation, and social competence through everyday interactions. This literature review synthesizes evidence from 74 peer-reviewed studies to evaluate nine evidence-based parenting interventions targeting parents of preschool-aged children. The programs were analyzed with respect to their objectives, theoretical foundations, components, and the resulting outcomes for both parents and children. Across interventions, consistent benefits emerged in children, including improved emotion recognition, regulation, empathy, and prosocial behavior, as well as reductions in internalizing problems. Parents also gained in confidence and positive discipline practices. Key elements linked to effectiveness included active parent skill-building (such as modeling, role play, and guided practice), structured parent–child interactions, multi-component designs integrating home and school contexts, and flexible delivery formats that adapt to family needs. These findings underscore the critical role of parenting interventions as an evidence-based method to enhance preschoolers’ social–emotional development. Full article

This study conceptualizes gender inequality in leadership careers as the result of asymmetric forces embedded within organizational environments. The tailwind–headwind framework brings together cultural norms, organizational structures, and psychological responses to explain how the same institutional processes can generate systematically different career trajectories for men and women. By showing how cultural assumptions about leadership become institutionalized through organizational systems and internalized as personal experiences, the framework offers a clear and coherent explanation for the persistent underrepresentation of women in leadership roles. Full article

Neurodevelopmental disorders (NDDs) are neurobiological conditions that arise in childhood and affect the personal, social, academic, and occupational development of those who exhibit them. The aim of this study is to analyze scientific research on neurodevelopmental disorders and their relationship to accessibility in cultural heritage, to identify the methodological approaches that currently predominate, and to examine which types of NDD are most studied and which ones are currently overlooked in scientific research. Existing adaptations for people with autism spectrum disorder (ASD) and attention deficit hyperactivity disorder (ADHD) were used as a reference point for the analysis, given their high prevalence in the child population. This study was conducted following the DSM-5-TR criteria and the PRISMA 2020 protocol to select and analyze scientific articles published in the last decade, between 2015 and 2025, obtained from the Scopus database. The results show an increase in the dissemination of scientific literature on access to cultural heritage for people with NDDs, although in a very limited way. Furthermore, within the NDDs themselves, it is ASD that appears to be most represented, with an increase in applied techniques and inclusive experiences. Based on these findings, it is recommended that future research focus on finding educational tools and best practices that promote inclusion and accessibility to cultural heritage for people with other developmental disabilities, such as ADHD. Full article

Diabetes mellitus (DM) is a chronic disease characterised by chronic hyperglycaemia due to a defect in the production of or cell insensitivity to insulin. If left untreated, it might result in severe side effects such retinal, nephropathy, neuropathy, and cardiovascular disease. Extensive research has been made to develop more effective and less expensive alternatives to existing treatment regimes. This review aims to evaluate research done thus far to test the effect of Saccharomyces boulardii (S. boulardii or Sb) in treating DM and its complications. Searches were conducted using Scopus, Web of Science, PubMed and Google Scholar on 26 July 2025. Overall, 227 articles were identified, and 5 fulfilled the inclusion criteria. Results extracted were from two models of diabetes (type 1 and 2) and two strains of Sb. In type 1 diabetes models, a significant reduction in glycaemia was observed, while in type 2 diabetes models, a non-significant effect was noted, depending on the strain used. Furthermore, an improvement in cardiac function was observed through reduced heart rate variability, a decrease in blood pressure, an increase in C-peptide and hepatic glycogen stores, enhanced liver healing, a nephroprotective effect, as well as a reduction in oxidative stress, blood triglyceride levels, and the inflammatory response. Administration of Sb induced positive modulation of the intestinal microbiota, with a decrease in pathobionts in the stools. Overall, the few studies evaluated indicate that the use of Sb appears to be a promising approach to improve the management of diabetes and its associated metabolic and related complications. The protocol of this review is registered in PROSPERO under ID CRD420251012919. Full article

Modular construction is generally defined as a typical offsite construction approach that can improve environmental sustainability throughout the building project lifecycle. Based on this situation, identifying the strengths, weaknesses, opportunities, and threats (SWOT) while promoting this sustainable construction method effectively during the urbanisation process is essential. Generally, modular construction is a sustainable building approach that can improve project sustainability, considering the environmental, social, economic, and technological aspects. A comprehensive understanding of the basic situation of prefabricated construction is worthwhile to ensure the widespread adoption of this offsite building method. By employing the SWOT analytical framework, this study adopts a literature review approach to conduct the investigation. In terms of the project results, the core strengths of using modular construction include improving environmental sustainability, enhancing management effectiveness, and improving construction safety and quality. The major weaknesses, on the other hand, are a lack of expertise and research, excessively high initial costs, and difficulties in stakeholder coordination. On the other hand, the major opportunities include promoting the SDGs and other policies, the Industrial Revolution 4.0, and urbanisation and building demands. The main threats, however, include substitute construction technologies, imperfect building codes and standards, and a lack of social and market acceptance. Further research can increase the sample size and collect more accurate firsthand data to validate the results of the current investigation, which can increase the effectiveness of promoting modular construction in the targeted regions. Full article

This entry, which identifies nine paradoxes particular to popular culture in a digital society, begins by distinguishing art and culture, since scholars have historically relied on these terms to differentiate popular culture, mass culture, and mass art. Digital societies, which exist both online and offline, are awash in digital products such as LED signs, digital imagery, video games, film, podcasts, and social media. In a digital society, popular culture is effectively “mass art,” which exhibits five properties: (1) digital media’s low-cost products and low-skill tools are (2) created and distributed to appeal to as broad a cultural sector as possible (qualitative) and thus aim to (3) attract consumers (quantitative) who capably enjoy and deploy cultural content both (4) offline and online, yet “popularity” ultimately depends on (5) efforts to maximize unity and minimize fragmentation. Except for localized events, popular culture has largely disappeared, while mass art will likely flourish until human beings clamor once again for firsthand experiences or go extinct. The next frontier will be finding ways to prevent artificial intelligence from producing cultural products, not because they will be terrible, undesirable, or fake, but because the culture-making process itself engenders human wellbeing. Full article

Information cascades refer to a type of learning behavior in social networks where individuals make decisions by observing the actions of others, rather than relying solely on their own private information. Network centrality, which measures the relative importance or influence of a node within a network, plays a significant role in initiating and shaping information cascades across four key dimensions. First, nodes with high degree centrality often initiate information cascades due to their large number of direct connections to other nodes. Second, nodes with high betweenness centrality serve as bridges between different parts of the network, thereby controlling the flow of cascading information. Third, nodes with high closeness centrality can access and disseminate information more quickly, accelerating the spread of cascades throughout the network. Fourth, nodes with high eigenvector centrality augment the impact of information cascades through their visibility and connections to other influential nodes. Synthesizing research findings on executive and director networks from management, finance, and accounting, this entry provides insights into emerging trends in corporate governance by highlighting the interaction between network structure and information dissemination. Full article

Stress in the workplace has been recognised by the World Health Organization (WHO) as a global health epidemic. Research examining the most stressful industries to work in the UK consistently ranks education among the highest groups, encompassing early years practitioners to higher education academics. One of the most commonly reported contributory factors is poor work–life balance, with high levels of emotional exhaustion and depersonalisation—key components of burnout—endemic. Related research has highlighted unprecedented mental health difficulties among children and young people; while many educators feel ill-equipped to manage the levels of mental distress they encounter in the classroom and playground on a daily basis, contributing to their own diminished wellbeing. The current author posits that at the heart of a well-functioning learning environment is the holistic wellbeing of every member of the education community. This paper brings together evidence from across different levels of education to expose systemic failures to address work-related stressors, highlighting gaps in effective support mechanisms to meet the needs of both learners and educators. Philosophical questions concerning professional identities and the function of a contemporary education system with mental health on its agenda are considered. Finally, recommendations are put forward to help tackle the current crisis and curb the exodus of professionals from across the sector. Full article

This entry explores the implications of generative AI for the underlying foundational premises of copyright law and the potential threat it poses to human creativity. It identifies the gaps and inconsistencies in legal frameworks as regards authorship, training-data use, moral rights, and human originality in the context of AI systems that are capable of imitating human expression at both syntactic and semantic levels. The entry includes: (i) a comparative analysis of the legal frameworks of the United Kingdom, United States, and Germany, using the Berne Convention as a harmonising baseline, (ii) a systematic synthesis of the relevant academic literature, and (iii) insights gained from semi-structured interviews with legal scholars, AI developers, industry stakeholders, and creators. Evidence suggests that existing laws are ill-equipped for semantic and stylistic reproduction; there is no agreement on authorship, no clear licensing model for training data, and inadequate protection for the moral identity of creators—especially posthumously, where explicit protections for likeness, voice, and style are fragmented. The entry puts forward a draft global framework to restore legal certainty and cultural value, incorporating a semantics-aware definition of the term “work”, and encompassing licensing and remuneration of training data, enhanced moral and posthumous rights, as well as enforceable transparency. At the same time, parallel personality-based safeguards, including rights of publicity, image, or likeness, although present in all three jurisdictions studied, are not subject to the same copyright and thus do not offer any coherent or adequate protection against semantic or stylistic imitation, which once again highlights the need for a more unified and robust copyright strategy. Full article

Climate change education (CCE) is increasingly recognized as a key lever for responding to the climate crisis, yet its implementation in schools often remains fragmented and weakly transformative. This review synthesizes international research on CCE in secondary education, focusing on four interconnected domains: students’ social representations of climate change (SRCC), curricular frameworks, teaching practices and teacher professional development, and emerging pathways towards transformative, justice-oriented CCE. A narrative review of empirical and theoretical studies reveals that students’ SRCC are generally superficial, fragmented and marked by persistent misconceptions, psychological distance and low perceived agency. Curricular frameworks tend to locate climate change mainly within natural sciences, reproduce deficit-based and behaviorist models and leave social, political and ethical dimensions underdeveloped. Teaching practices remain predominantly transmissive and science-centered, while teachers report limited training, time and institutional support, especially for addressing the affective domain and working transdisciplinarily. At the same time, the literature highlights promising directions: calls for an “emergency curriculum” and deeper curricular environmentalization, the potential of socio-scientific issues and complexity-based approaches, narrative and arts-based strategies, school gardens and community projects, and growing attention to emotions, hope and climate justice. Drawing on a narrative and integrative review of empirical and theoretical studies, the article identifies recurrent patterns and gaps in current CCE research and outlines priorities for future inquiry. The review argues that bridging the knowledge–action gap in schools requires aligning curriculum, pedagogy and teacher learning around four key principles—climate justice, collective agency, affective engagement and global perspectives—and outlines implications for policy, practice and research to support more transformative and socially just CCE. Full article

Green roofs have emerged as a key nature-based solution for improving environmental quality, strengthening urban resilience, and enhancing human wellbeing. In the hospitality sector—where sustainable design and guest experience increasingly intersect—the incorporation of green roof gardens is particularly significant. Urban hotels face heightened challenges related to elevated temperatures, reduced green space, and the growing need for restorative environments within dense urban settings. This study aims to examine how green roof gardens function as integrated ecological, social, and psychological infrastructures in hotel environments. It evaluates the extent to which rooftop green spaces contribute to environmental sustainability, enhance guest experience, and foster community connections. The research adopts a qualitative design combining a comprehensive literature review conducted at selected five-star hotels in Greece. Data from secondary sources and field-based assessments were thematically analyzed to identify recurring patterns in environmental performance, social use, and psychological benefits. Findings indicate that hotel green roof gardens act as multifunctional systems that deliver significant ecological benefits—such as improved microclimate regulation, stormwater retention, and biodiversity support—while simultaneously enriching social interaction and guest experience through accessible, esthetically appealing spaces. Observations further highlight their contribution to psychological wellbeing by offering restorative environments characterized by greenery, natural light, and panoramic views. The study concludes that green roof gardens represent an effective design strategy that integrates sustainability, hospitality experience, and urban wellbeing. Their application in hotels provides both conceptual insight and practical guidance for the development of more resilient, livable, and guest-centered urban environments. These findings underscore the importance of incorporating green roofs into contemporary tourism and urban planning practices. Full article

Fractured fairy tales are adaptive retellings of traditional stories that employ humor, irony, and narrative innovation to transform established meanings. As a distinctive literary genre, these works combine entertainment with subversion, reshaping familiar plots, characters, and morals to engage readers in both imaginative and critical reflection. The genre gained prominence in the mid-twentieth century, when classic tales began to be rewritten to reflect modern cultural values and shifting audience expectations. Through techniques such as parody, reversal, and alternative endings, fractured fairy tales challenge inherited norms while offering renewed interpretive possibilities. Beyond their literary appeal, they have been recognized for their pedagogical importance: their familiarity lowers barriers to reading, while their inventive variations foster creativity, analytical reasoning, and language development. Collectively, these attributes affirm fractured fairy tales as a genre of lasting significance, uniting artistic reinterpretation with educational relevance in ways that continue to enrich both literary and literacy learning. Full article

The present article reinterprets the history of polyglot lexicography and encyclopedic language projects in late imperial China from the Yuan and the Ming through the Qing periods by tracing a three-stage transformation. The Yuan period inaugurated a foundational regime of phonetic transcription anchored in the ’Phags-pa script (Ch. Basiba zi 八思巴字) while already experimenting with semantic pairing in the early Sino–Mongol glossary conventionally known as Zhiyuan yiyu (至元譯語). The Ming consolidated that legacy into a state curriculum centered on the Huayi yiyu (華夷譯語) corpus, together with frontier manuals such as Beilu yiyu (北虜譯語), which systematized domain-based vocabulary and coupled it with documentary templates for tribute, diplomacy, and administration. The Qing, finally, reconceived multilingual lexicography as a project of imperial integration, recentering Manchu as the pivot language in the Qing wen jian (清文鑒) series and culminating in the five-language Wuti Qing wen jian (五體清文鑒). Specialized compendia such as Xiyu tongwen zhi (西域同文志) normalized toponyms across scripts in newly incorporated territories. Complementing official compilations, market-facing handbooks—including Menggu zazi (蒙古雜字)—and the dialogic textbooks Nogeoldae (Ch. Lao qida 老乞大) and Bak Tongsa (Ch. Piao tongshi 朴通事) produced within Joseon’s translator-training institutions reveal a multi-sited ecosystem in which court, frontier, marketplace, and foreign language schools co-produced the infrastructure of interlingual governance. By following the shift from “how to read” (phonetic) to “what it means” (semantic) and ultimately to “what it governs” (administrative integration), this article argues that polyglot lexicons were not merely repositories of words but instruments that made a multilingual empire legible, speakable, and governable. Full article

Bilingual education in the United States encompasses programs that use both English and students’ home languages to promote learning. It has been shaped by changing political priorities, policies, and debates over assimilation versus linguistic diversity. This entry reviews the history of bilingual education in the United States and how public opinion and political attitudes have shifted over time. It traces how policymakers and practitioners have viewed English language acquisition as either a tool of assimilation or as a resource for learning, and how support has moved from English-only immersion to dual language education programs. The discussion highlights how current assessment practices, focused on English-only standardized testing, have not kept pace with changing views of bilingual education. The entry concludes by identifying gaps in research and urging states to evaluate how comprehensively they serve their bilingual student population through their education policies and programs. Full article

A data cooperative is a legally organized cooperative whose purpose is the collective collection, management, and use of data collected by its members. In contrast to other data pools, it can act as a democratic self-governing organization in which each member has a say in how data is collected, shared, and analyzed. The members retain control over the data they contribute. They collectively benefit from the resulting data services, for example, through new insights, innovative services, or economic advantages. As a forward-looking model, the data cooperative enables smaller players to access reliable data infrastructure and data resources that would otherwise remain inaccessible. It promotes data sovereignty and strengthens trust in data-driven cooperation. Here, the definition of data derives from the field of business informatics, which gives a scientifically sound typology of data, systematized on several levels. The following elaboration offers conceptual clarification and presentation of central data types. Depending on the context and processing purpose, their classification is essential for business informatics, as they form the raw material for information systems and business processes. Data cooperatives are gaining in importance as a cooperative form of organization enabling democratic co-determination, community benefit, and equal access to data for regional actors. Full article

Immersive methods and biometric tools provide a rigorous, context-rich way to study how people perceive and choose food. Immersive methods use extended reality, including virtual, augmented, mixed, and augmented virtual environments, to recreate settings such as homes, shops, and restaurants. They increase participants’ sense of presence and the ecological validity (realism of conditions) of experiments, while still tightly controlling sensory and social cues like lighting, sound, and surroundings. Biometric tools record objective signals linked to attention, emotion, and cognitive load via sensors such as eye-tracking, galvanic skin response (GSR), heart rate (and variability), facial electromyography, electroencephalography, and functional near-infrared spectroscopy. Researchers align stimuli presentation, gaze, and physiology on a common temporal reference and link these data to outcomes like liking, choice, or willingness-to-buy. This approach reveals implicit responses that self-reports may miss, clarifies how changes in context shift perception, and improves predictive power. It enables faster, lower-risk product and packaging development, better-informed labeling and retail design, and more targeted nutrition and health communication. Good practices emphasize careful system calibration, adequate statistical power, participant comfort and safety, robust data protection, and transparent analysis. In food science and consumer behavior, combining immersive environments with biometrics yields valid, reproducible evidence about what captures attention, creates value, and drives food choice. Full article

Despite seven decades of international commitment—from the 1948 Universal Declaration of Human Rights through SDG 3.8—universal health coverage remains stubbornly out of reach. Two billion people, predominantly informal sector workers, lack access to sustainable health insurance. This entry explains the underlying cause: sustainable health insurance requires specific behavioral and institutional conditions for collective action—conditions that existing health insurance models systematically fail to satisfy, thereby structurally excluding informal populations. The Trinity Law framework formalizes these conditions as three multiplicatively interacting requirements—Trust (T), Consensus (C), and Dual Benefit (DB)—expressed as S = T × C × DB. Empirical analysis of community-based health insurance schemes across 24 countries identifies a robust trust threshold (τ* ≈ 0.68) operating as a behavioral phase transition: below this level, cooperation collapses; above it, participation becomes self-sustaining. Cross-country evidence from 274 organizations across 155 countries confirms consensus thresholds (C* ≈ 0.59), while analysis of 158,763 observations validates dual benefit mechanisms. The multiplicative structure explains why partial reforms fail: weakness in any single component drives overall sustainability toward zero. Applied to health insurance, this framework distinguishes conventional systems—Bismarckian employment-based, Beveridgean tax-financed, and commercial health insurance from sustainable systems like participatory community-based microinsurance that satisfy all three Trinity Law conditions through participatory design, transparent governance, and aligned incentives. The persistent UHC gap reflects not implementation failures but fundamental design incompatibilities that the Trinity Law makes explicit. This entry has three objectives: first, it states the Trinity Law conditions; second, it summarizes the empirical evidence for each component; third, it applies the framework to classify major health insurance models. Supporting datasets and code are available in the referenced Zenodo repositories. The term ‘law’ follows the tradition of social science regularities like the ‘law of demand’: a robust empirical pattern with strong predictive validity, not a claim to physical certainty. Full article