Adolescents and young adults (AYAs) with cancer occupy a distinct clinical and developmental space, yet their psychosocial needs remain poorly addressed within oncology systems globally, and particularly in India, where dedicated AYA care pathways and psychosocial research are almost non-existent.

This narrative review synthesises interdisciplinary literature across epidemiology, psychosocial oncology, youth development, data science, and AI ethics to examine how computational tools could be ethically integrated to strengthen AYA cancer care. Peer-reviewed articles (n=35) were identified through searches across PubMed, Google Scholar, Web of Science, ScienceDirect, SpringerLink, BMJ, PNAS, and Wiley Online Library. Inclusion criteria required relevance to AYA populations (ages 13-39), psychosocial or developmental outcomes, or data science/AI approaches applicable to oncology or youth mental health; studies focused exclusively on younger children and youth (<10 years) or older adults (>40 years), and non-peer-reviewed sources, were excluded. Qualitative, quantitative, conceptual, and systems science methodologies were synthesised thematically.

This review finds that AYAs experience consistent psychosocial vulnerabilities (emotional distress, disrupted identity and autonomy, social isolation, educational disruption, and survivorship burdens) that remain unevenly recognised and under-addressed in clinical practice. Existing psychosocial interventions are resource-intensive, inconsistent, and rarely scaled. Critically, AI tools demonstrate concrete potential to address these gaps: natural language processing (NLP) applied to clinical notes and digital communications can enable early distress detection; machine learning models can identify non-adherence risk; AI-enabled decision-support can prompt early fertility counselling and personalised survivorship planning; and data collaboratives linking hospitals, registries, and schools can improve equity and care coordination. Yet these innovations remain entirely absent from psychosocial AYA oncology.

This review proposes an ecological, human-centred model integrating biomedical prediction, psychosocial support, and system-level equity across micro, meso, and macro levels of care. Future interdisciplinary work must prioritise contextual relevance, meaningful youth participation and also, ethical governance, to ensure AYA psychosocial needs are being catered to.

Introduction:
Digital technologies have become integral to everyday life, transforming communication, learning, and access to information. Alongside these benefits, concerns about excessive use and digital addiction have intensified. Many platforms deliberately employ behavioral design and persuasive technology principles to maximize user engagement by leveraging psychological mechanisms such as variable rewards, social validation, and attentional capture. This raises critical questions about the ethical responsibilities of technology developers and the societal consequences of behaviorally engineered digital environments.

Methods:
This study adopts a conceptual, literature-based approach to analyze how behavioral design strategies shape user interaction with digital technologies. Drawing on established frameworks—including Fogg’s Behavior Model and habit-forming design (e.g., the Hook Model)—the study synthesizes interdisciplinary research from human–computer interaction, psychology, and media studies. It specifically examines mechanisms such as variable reinforcement schedules, algorithmic personalization, and social feedback systems in relation to user engagement and dependency.

Results:
The analysis indicates that many digital platforms systematically integrate design features that exploit core psychological drivers, including the need for social recognition, immediate gratification, and cognitive stimulation. Elements such as push notifications, “likes,” infinite scrolling, and algorithmically curated content function as powerful behavioral triggers that reinforce habitual and, in some cases, compulsive use patterns. Evidence from prior studies suggests these mechanisms are associated with increased screen time, attentional fragmentation, and symptoms aligned with problematic or addictive technology use.

Conclusions:
Behavioral design in digital technologies carries significant implications for individual well-being and broader societal outcomes. While persuasive technologies can support positive behavior change in domains such as education and health, ethical concerns arise when such strategies prioritize engagement metrics over user welfare. This study contributes by critically synthesizing how specific design mechanisms relate to emerging patterns of digital dependency and by highlighting the need for ethical design frameworks, increased transparency, and potential regulatory interventions to align technological innovation with human well-being.

Religious freedom endures as a foundational tenet of democratic governance, embodying both individual self-determination and collective ethical responsibility. This study employs a comparative, interdisciplinary framework informed by pluralist democratic theory and life‑course perspectives to interrogate how modern states negotiate the boundaries of liberty, secularism, and equality. It examines constitutional architectures in India (Articles 25–28), the United States (First Amendment), and France (laïcité), complemented by international norms articulated in the UDHR and ICCPR. Case studies from Canada and South Africa further illuminate divergent yet instructive models of secular neutrality and minority protection. Through a qualitative analysis of jurisprudence, policy discourse, and interfaith initiatives, the study demonstrates that religious liberty is most resilient when anchored in principled secularism, substantive safeguards for vulnerable communities, and a culture of civic responsibility. Religious literacy emerges as a critical pedagogical tool for dismantling prejudice, while structured interfaith engagement strengthens social cohesion. The digital sphere introduces new epistemic and ethical challenges, amplifying both democratic expression and extremist mobilization, thereby underscoring the urgency of responsible technological governance. The study argues that democracies fortify themselves by institutionalizing pluralism, cultivating informed citizenry, and embedding anticipatory regulation within digital ecosystems. Reconceptualizing religious liberty as a shared civic resource—rather than a solely individual entitlement—offers a pathway toward more inclusive, just, and peaceful democratic futures.

The growing influence of algorithmic systems in everyday digital environments has led to increasing scholarly interest in users’ awareness of these systems, a phenomenon commonly referred to in the literature as algorithmic awareness. In recent years, social science research has increasingly relied on survey questionnaires to investigate how individuals perceive, understand, and evaluate algorithmic systems.

This paper reviews how questionnaires have been employed in empirical research on algorithmic awareness, focusing on the methodological challenges associated with measuring this concept through survey research. Measuring algorithmic awareness poses specific difficulties for social research, as algorithmic systems are often opaque, operate in the background of everyday digital environments, and are only partially understood by users. As a result, individuals’ perceptions of their awareness may not correspond to their actual understanding of how algorithmic systems function.

Against this background, the paper examines the main measurement strategies adopted in the existing empirical and methodological literature. First, it reviews the use of self-report items that ask respondents to directly assess their level of awareness. Although widely adopted in studies on algorithmic awareness (Gran et al., 2021; Min, 2019; Oeldorf-Hirsch & Neubaum, 2023), these measures raise methodological concerns related to overconfidence, social desirability, and discrepancies between perceived and actual knowledge (Hargittai, 2009; Mondak, 1999). Second, the paper discusses psychometric scales developed to capture the multidimensional nature of algorithmic awareness, such as the Algorithmic Media Content Awareness scale (Zarouali et al., 2021), highlighting both their advantages and limitations. Third, it considers alternative survey designs aimed at measuring knowledge more indirectly, for instance through knowledge tests or experimental designs embedded within surveys (Brodsky et al., 2020; Cotter & Reisdorf, 2020).

Particular emphasis is placed on scenario-based questions, which present respondents with realistic situations involving algorithmic systems in everyday contexts such as social media, online shopping, and information search. This approach is particularly valuable when studying algorithmic awareness, as the concept itself is highly abstract and often difficult for respondents to evaluate directly. By grounding questions in concrete situations, scenario-based designs make the phenomenon more tangible and enable researchers to better capture individuals’ practical understanding of how algorithmic systems operate (Dogruel et al., 2022). Overall, the paper discusses the strengths and limitations of survey-based approaches and outlines methodological directions for future research on algorithmic awareness.

In the context of the current unprecedented ecological challenges that urban centers are encountering, digital technologies have become a primary tool in environmental governance. My research investigates the social implications of real-time monitoring of air quality and environmental degradation among people in the Delhi National Capital Region (NCR). Although technical measures of degradation can be obtained through biophysical data, the social aspect of community perception, trust and action regarding the same data is poorly studied. This study uses a mixed-method design with digital surveys and social sentiment analysis to investigate the hypothesis of whether more access to environmental technology leads to people having eco-anxiety or engaging in digital activism. Preliminary results indicate a strong correlation between mobile-based information transparency and community-based conservation efforts, although a digital divide persists in disempowered socio-economic regions. This paper argues that technology is not the solution to environmental crises; rather, it must be integrated into a more comprehensive social system with a strong focus on environmental justice and digital literacy. The findings related to the Society and Technology track of the conference are significant because they indicate the intersection of digital surveillance, public health, and social equity in a rapidly developing urban environment. Ultimately, my research indicates that a scalable framework exists for inclusive, tech-driven environmental advocacy across various global metropolitan contexts.

This study aims to reveal how artificial intelligence is constructed as a societal threat, how fear discourse is produced, and how this situation spreads in digital environments. Accordingly, the comments made on the YouTube video titled “Can Artificial Intelligence Commit Crimes?” were analyzed within the framework of moral panic. The study examines which elements of moral panic are reproduced in audience comments.
Out of 229 comments, 56 consisted of feedback about the channel, video requests, or only emojis. Therefore, these 56 comments were excluded, and the analysis was conducted on the remaining 173 comments. The comments were coded according to the five stages of Moral Panic Theory: (1) threat perception, (2) folk devil, (3) concern, (4) solution development, and (5) subsidience. Furthermore, sub-dimensions were created under each category for a more detailed analysis. Folk devil (n=45) and subsidence (n=50) were the most frequently observed categories. In 29% of the comments, artificial intelligence is perceived as a threat (n=30). It is observed that future-oriented anxiety (n=12) and dystopian framing (n=12) emerged at equal levels. In the comments, those most frequently held responsible for AI committing crimes are programmers, designers, developers, users, and technology companies (n=33). The most common solution proposed to prevent AI from committing crimes is the restriction of artificial intelligence (n=16). However, it is also seen that there is a significant subsidience discourse opposing the panic discourse (n=50). Yet, this attenuation is constructed more through humor (n=28) rather than rationalization (n=3). In conclusion, the study shows that moral panic dynamics are reproduced in the YouTube comment section; however, these processes are not one-dimensional and homogeneous, but rather are shaped in a conflictual and multilayered way in digital environments.

Transnational doctoral students, who travel across geographic, social, ideological, and linguistic boundaries, embark on a new journey in academic and professional spaces. Additionally, rapid development in communication technologies and the increasing participation of transnational doctoral students in digital spaces have attracted growing research interest in online communities for navigating transnational life. However, limited research has examined how transnational students build supportive learning communities and negotiate translingual identities while fostering savviness in academia in digital contexts. To fill this gap, this study adopts a digital ethnographic and discourse analysis approach to examine the online interactions of transnational Chinese doctoral students within a WeChat group in the United States. Informed by the conceptual framework of communities of practice and translanguaging, this study addresses two research questions: (1) How do transnational doctoral students engage in translanguaging practices to build a support network in the WeChat group? (2) How do their interactions in the online space reveal the translingual identities of transnational doctoral students? Through participant observation of group chat records, the preliminary findings show transnational doctoral students deploy linguistic and non-linguistic semiotic resources to navigate challenges and tensions in multicultural contexts. This study offers social, cultural, educational, and technological insights and nuances for better supporting transnational students in the ebb and flow of global mobility.

Introduction. Flexible work arrangements, including where work is performed (e.g., remote work), when work is done (e.g., flexible schedules), and how work is organized (e.g., virtual meetings), expanded rapidly during the COVID-19 pandemic. This expansion has raised important questions about their implications for workplace equity in nonprofit organizations, an area that remains insufficiently examined. Guided by organizational justice and organizational system frameworks, this study investigated whether nonprofit leaders’ reports of employee access to flexible work arrangements were associated with workplace equity across several organizational domains, including policies and practices, planning and evaluation, roles and accountabilities, organizational culture and climate, and communication. Methods. Data were drawn from the 2021 Boston Workplace Equity Study, an exploratory survey of nonprofit organizational leaders (n = 112). Ordinary least squares regression models were used to assess associations between access to flexible work arrangements and workplace equity, controlling for organizational size, percentage of women employees, and percentage of employees of color. Results. Greater reported access to flexible work arrangements was associated with higher levels of workplace equity (b = .12, p < .05). Small organizations reported higher workplace equity than medium-sized organizations, and organizations with a higher proportion of employees of color also reported greater workplace equity. Interaction models suggested that the positive association between flexible work arrangements and workplace equity was stronger when leaders reported higher employee pressures (b = .20, p < .10), while no significant moderation effect was observed for organizational pressures or organizational resilience. Discussion. These results underscore the potential for flexible work arrangements to serve not only as a staffing strategy but also as an organizational resource that supports equity, particularly in contexts where employees experience heightened pressures. This study highlights the need to integrate flexibility into comprehensive organizational systems that promote fairness and inclusion in nonprofit workplaces.

Japan ranked as the fourth largest destination for Indonesian Migrant Workers (IMWs), with a total of 14,543 workers in 2025. Despite the existence of bilateral agreements and legal frameworks, protection challenges persist, demonstrating that regulatory compliance alone is insufficient to ensure migrant worker protection. This research uses qualitative methods on literature analysis to analyze how multi-actor cooperation can strengthen the legal protection framework for IMWs in Japan. Reports from Indonesian law enforcement authorities and U.S. Embassy & Consulates in Indonesia highlight trafficking and exploitation cases involving IMWs in Japan, indicating misuse of formal migration schemes and gaps in enforcement and protection. In addition, Serikat Buruh Migran Indonesia (SBMI) recorded 68 complaints involving IMWs in Japan, including certification gaps, weak legal implementation, and wage disparities, which increase vulnerability to labor exploitation. The Indonesian government enacted Law No. 18/2017 concerning the protection of IMWs. The government is also taking legal action against two former directors of a polytechnic in Indonesia in connection with facilitating the exploitation of human trafficking victims in Japan. Conversely, the Japanese government enacted the Labor Standards Act and the Immigration Control and Refugee Recognition Act. Beyond state initiatives, this study underscores the importance of non-state actors in bridging the protection gap. SBMI plays a central role through policy advocacy with the Indonesian Ministry of Migrant Worker Protection (KP2MI) and international organizations, providing case assistance and campaigning IMWs protection. Professional legal organizations such as DePA-RI have provided pro bono legal assistance to IMWs in Japan, including legal coordination with Japanese lawyers in collaboration with Indonesian diplomatic missions. This study concludes that the protection of IMWs in Japan increasingly reflects a multi-track diplomacy model, in which state and non-state actors collaboratively seek protection for IMWs in Japan alongside legal protection from both the Japanese and Indonesian governments.

Urban accessibility for people with disabilities is a central aspect of inclusion policies and quality of life, extending beyond technical requirements to encompass spatial justice and the right to the city (Imrie & Kumar, 1998; Soja, 2010). This study adopts a rights-based urbanism framework, positing that gaps in collaborative mapping may reflect broader patterns of informational inequality rather than solely physical inaccessibility. Collaborative platforms such as OpenStreetMap (OSM) — a form of volunteered geographic information (Goodchild, 2007) — offer opportunities to study urban accessibility but raise concerns about completeness, quality, and spatial distribution (Haklay, 2010). Focusing on Milan, Rome, and Naples, the study examines OSM tags relevant to wheelchair accessibility (wheelchair, kerb, incline, sidewalk). A dual model is proposed: (1) a morpho-spatial accessibility index, measuring potential accessibility based on mapped features, and (2) an informational coverage indicator, assessing the spatial distribution and completeness of accessibility data. Spatial statistical methods are applied to identify gaps, clustering, and patterns of data production, allowing differentiation between physical accessibility and its digital visibility. Results reveal extremely limited and uneven coverage, indicating that missing data reflect mapping gaps rather than actual inaccessibility. The comparative analysis suggests that these patterns are not only local but may indicate structural issues in collaborative data production. Theoretical implications highlight the link between spatial justice and digital information, framing accessibility as both a physical and informational right. Practical implications stress the need to integrate collaborative and institutional data to produce reliable accessibility maps, guiding policymakers in prioritizing interventions and supporting inclusive, evidence-based urban planning. In conclusion, while OSM provides a valuable knowledge base, its limitations underscore the importance of combining bottom-up and institutional sources to enhance reliability and equity, ensuring that urban accessibility reflects both real and digitally visible conditions.