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Navigating Unemployment Without Unemployment Insurance: Evidence From Singapore, Kim, Lanjie Wang Jul 2026

Navigating Unemployment Without Unemployment Insurance: Evidence From Singapore, Kim, Lanjie Wang

Research Collection School Of Economics

This study investigates the short-term impacts of unemployment among older workers (aged 50–62) in Singapore, a setting with-out public unemployment insurance. Using monthly panel data from the Singapore Life Panel, we analyse dynamic effects onmajor life outcomes such as income, spending, health, and subjective wellbeing over 2 years post-unemployment. Our findingsreveal substantial initial earnings losses with incomplete recovery: income remains 50.7% below pre-unemployment levels after24 months. Despite this persistent income gap, total household expenditure declines by 9.8% on average over 2 years (rangingfrom 7% to 16% across months). The implied two-year marginal propensity to consume is about 0.182, smaller than …

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How Do Sectoral Shocks Shape Future Gdp?, Paul Ho, Danial Lashkari, Pierre-Daniel Sarte Jul 2026

How Do Sectoral Shocks Shape Future Gdp?, Paul Ho, Danial Lashkari, Pierre-Daniel Sarte

Research Collection School Of Economics

A production sector’s size, as measured by its Domar weight, captures the contemporaneous aggregate effect of its productivity shocks. Any future aggregate effects, however, depend on that sector’s participation in the investment network. We derive a dynamic generalization of Hulten’s theorem in an environment with intermediate-input and investment networks. This generalization, implied by production efficiency alone, decomposes each sector’s Domar weight into an impact and a propagation component. The relative size of these components then determines how persistent the aggregate effects of sectoral shocks are, but cannot be known absent information on the economy’s production structure. We show in a …

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The Effect Of Vaccine Mandates On Disease Spread: Evidence From College Covid-19 Mandates, Riley K. Acton, Wenjia Cao, Emily E. Cook, Scott A. Imberman, Michael F. Lovenheim Jul 2026

The Effect Of Vaccine Mandates On Disease Spread: Evidence From College Covid-19 Mandates, Riley K. Acton, Wenjia Cao, Emily E. Cook, Scott A. Imberman, Michael F. Lovenheim

Research Collection School Of Economics

Nearly 700 4-year U.S. colleges mandated students receive COVID-19 vaccinations in fall 2021. Using data on college policies and county health, we estimate how mandates affect surrounding communities. Event studies from August to November 2021 show that mandates covering all colleges in a county reduced COVID-19 deaths by 5.6 per 100,000 persons, a 4.6% reduction in the U.S. total during this period. Mandates reduced COVID cases by 504 and ICU admissions by 16.2 per 100,000, though we see no statistically significant impact on hospitalizations. Impacts are larger in counties with larger college populations and low estimated ex-ante student vaccination rates.

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The Unintended Consequences Of International Student Shortage: Evidence From South Korea, Chung-Yoon Choi, Syngjoo Choi, Seonghoon Kim, Jongkwan Lee Jul 2026

The Unintended Consequences Of International Student Shortage: Evidence From South Korea, Chung-Yoon Choi, Syngjoo Choi, Seonghoon Kim, Jongkwan Lee

Research Collection School Of Economics

We study the role of international students in the higher education sector and the local economy by exploiting a policy reform in South Korea that restricted the admission of foreign students to local universities. By comparing the pre- and post-reform differences across universities with different pre-reform shares of international student enrollment, we show that an international student shortage resulting from this policy reform significantly worsened the financial outcomes of universities and consequently led to reduced investment in their students. We also document that a reduction in the number of international students in local areas decreased native employment, mainly in low-skilled …

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Integrated Optimization Of Farmland Cultivation And Fertilizer Application: Implications For Farm Management And Crop Production, Onur Boyabatli, Lusheng Shao, Yangfang (Helen) Zhou Jul 2026

Integrated Optimization Of Farmland Cultivation And Fertilizer Application: Implications For Farm Management And Crop Production, Onur Boyabatli, Lusheng Shao, Yangfang (Helen) Zhou

Research Collection Lee Kong Chian School Of Business

Motivated by the fresh produce industry, this paper studies a farmer’s joint cultivation and fertilizer (a representative farm input) application decisions facing uncertainties in yield, crop price, and harvesting cost where the latter two are yield dependent and yield is stochastically increasing in the fertilizer application rate. We develop a two-stage stochastic model of a farmer growing a commodity crop in a single season to maximize the expected profit. We then use the model to evaluate the optimal expected harvest volume (a measure of crop production). Our analytical analysis is complemented with numerical experiments calibrated to data. We characterize how …

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Veribrief: A Multi-Agent Retrieval-Augmented Generation System For Policy Decision Support, Imane Bahji Jul 2026

Veribrief: A Multi-Agent Retrieval-Augmented Generation System For Policy Decision Support, Imane Bahji

Electrical and Computer Engineering ETDs

VeriBrief is a multi-agent retrieval-augmented generation (RAG) system for evidence-grounded economic policy analysis. The system orchestrates a five-stage LangGraph pipeline, retrieval, research, analysis, synthesis, and critique, to produce cited, structured responses while detecting out-of-scope queries. An empirical evaluation on eight questions drawn from official U.S. macroeconomic releases compared VeriBrief against a single-pass RAG baseline. The multi-agent system achieved 100% refusal precision on unanswerable analytical queries versus 0% for the baseline. Unsupported claims fell substantially on answerable factual questions. A context-propagation defect discovered during evaluation was diagnosed and corrected. Limitations include failure of the evidence gate on policy-counterfactual queries and a …

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Securing A Calibrated Marketing Budget, Junqiu Jiang, Kapil R. Tuli, Nirmalya Kumar Jul 2026

Securing A Calibrated Marketing Budget, Junqiu Jiang, Kapil R. Tuli, Nirmalya Kumar

Research Collection Lee Kong Chian School Of Business

This study investigates the sociopolitical processes underlying the development and approval of marketing budgets in large multinational corporations. While prior research has focused extensively on optimizing the level and allocation of marketing budgets, little attention has been paid to the internal organizational dynamics that shape the marketing budgeting process. Drawing on the theories-in-use of both CMOs and CEOs, this study examines how these executives codevelop a calibrated marketing budget (CMKB)—a budget that aligns expected performance with allocated resources through an iterative, participative process. Field data show that CMOs deploy a set of signals to assuage CEO concerns related to goal …

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The Power And Peril Of Awe In Leadership: Transforming Follower Identity And Behavior, Jack Mcguire, Daniel Mcallister, Jochen Menges, David De Cremer Jul 2026

The Power And Peril Of Awe In Leadership: Transforming Follower Identity And Behavior, Jack Mcguire, Daniel Mcallister, Jochen Menges, David De Cremer

Research Collection Lee Kong Chian School Of Business

Awe is a profound emotion that has captured significant attention within psychological research. While the potential for leaders to inspire awe in followers has received some recognition, systematic research on the nature and effects of awe in leadership—and within organizational contexts more broadly—remains limited. In this article, we offer a conceptual framework that explains the multifaceted and transformative nature of leadership through the power of awe. Specifically, we identify four leader behaviors—charismatic leadership tactics, exceptional performance, problem reframing, and self-sacrificial behavior—that elicit awe among followers. We further propose three variants of awe-inspiring leaders, describing how variation in a leader’s self-construal …

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The Anatomy Of Earnings Conference Calls: An Integrative Framework For Management Research, Matthew P. Mount, Gokhan Ertug, Wei Shi, Tengjian Zou Jul 2026

The Anatomy Of Earnings Conference Calls: An Integrative Framework For Management Research, Matthew P. Mount, Gokhan Ertug, Wei Shi, Tengjian Zou

Research Collection Lee Kong Chian School Of Business

Over the last decade, there has been an explosion in the use of diverse data sources by management scholars to observe and capture managerial and organizational constructs that have historically been difficult to access. This surge has been driven by the growing availability of rich, multi-modal data—textual, image, and audio (Luo, Jia, Ouyang, & Fang, 2024)—together with advances in analytical techniques to process and analyze data, such as computer-aided text analysis (Harrison, Thurgood, Boivie, & Pfarrer, 2019), machine learning (Choudhury, Wang, Carlson, & Khanna, 2019; Harrison, Josefy, Kalm, & Krause, 2023), and deep learning (Gouvard, Goldberg, & Srivastava, 2023). These …

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Keeping Up With The Times? Rethinking Social Evaluations Research Under Contemporary Technological And Sociopolitical Forces, Marco Clemente, Michael Etter, Yuliya Snihur, Gokhan Ertug, Graffin Scott, Anastasiya Zavyalova Jul 2026

Keeping Up With The Times? Rethinking Social Evaluations Research Under Contemporary Technological And Sociopolitical Forces, Marco Clemente, Michael Etter, Yuliya Snihur, Gokhan Ertug, Graffin Scott, Anastasiya Zavyalova

Research Collection Lee Kong Chian School Of Business

The context within which social evaluations form has been fundamentally altered by contemporary forces, such as digital technologies, polarization, activism, politicization of business, and geopolitical tensions. While research on social evaluations has generated rich insights into the formation and development of constructs, such as legitimacy, status, reputation, stigma, trust, and celebrity, much of this work has been developed under the assumptions of relative stability, coherent audiences, and well-defined intermediary roles. These assumptions are increasingly challenged in this changing context, requiring us to rethink the formation and management of social evaluations. The articles in this special issue focus on these changes. …

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The Effectiveness Of Writing Professional Development For Instructional Leaders On Student Academic Outcomes, Kourtney Y. Lavergne Jul 2026

The Effectiveness Of Writing Professional Development For Instructional Leaders On Student Academic Outcomes, Kourtney Y. Lavergne

Electronic Theses and Dissertations

The purpose of this qualitative case study was to explore how elementary instructional leaders in a Southeast Texas school district perceived and utilized the R.A.C.E. (Restate, Answer, Cite, Explain) professional development training as an instructional tool to improve student writing performance. The study was guided by two research questions: (a) How do elementary instructional leaders perceive the R.A.C.E. professional development training as an effective English writing curriculum tool to improve student performance? and (b) How do instructional leaders utilize the R.A.C.E. professional development training to improve student writing performance in their classrooms? The study was grounded in adult learning theory …

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A Perspective As Observed By Public Middle School Teachers On A Lack Of Empathy Demonstrated By Public Middle School Students, Gail P. Hall Jul 2026

A Perspective As Observed By Public Middle School Teachers On A Lack Of Empathy Demonstrated By Public Middle School Students, Gail P. Hall

Electronic Theses and Dissertations

 

The purpose of this qualitative descriptive study was to explore a perspective as observed by public middle school teachers on a lack of empathy demonstrated by public middle school students. The research analyzed how public middle school teachers in the southern region of Texas described their perception of how a lack of empathy demonstrated by public middle school students impacted students during the school day. The study involved 10 selected participants who participated in a semistructured open-ended interview on the Google Meet platform. The participants consisted of 90% female and 10% male, with a combined total of 91 years of …

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Attendance And Academic Performance: A Comparison Of 4-Day And 5-Day School Week Schedules In Texas High Schools, Cynthia Miles Jul 2026

Attendance And Academic Performance: A Comparison Of 4-Day And 5-Day School Week Schedules In Texas High Schools, Cynthia Miles

Electronic Theses and Dissertations

This quantitative cross-sectional comparable study examined the differences in academic performance and attendance in Texas public high school campuses between those operating on a 4-day instructional week and those operating on a 5-day instructional week. The study used a quantitative, cross-sectional comparable design. The analysis included campus-level data from the Texas Education Agency’s Texas Academic Performance Reports. The independent variable was instructional schedule—either a 4-day or a 5-day instructional week. The dependent variables included campus attendance rates and student performance on the English I and Algebra I End-of-Course (EOC) STAAR (State of Texas Assessments of Academic Readiness) assessments of ninth-grade …

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Knowledge-State Generative Agents For Pre-Assessment Question Evaluation, Ping Fan Ke, Yi Meng Lau, Siaw Ling Lo Jul 2026

Knowledge-State Generative Agents For Pre-Assessment Question Evaluation, Ping Fan Ke, Yi Meng Lau, Siaw Ling Lo

Research Collection School Of Computing and Information Systems

This paper introduces a Knowledge‑State Generative Agent framework for evaluating the quality of pre‑assessment questions. The framework employs large language model (LLM)–based agents prompted to adopt a teacher persona to simulate the responses of students with and without mastery of targeted knowledge components. A preliminary empirical study using archival data from 424 students enrolled in an Information Systems Management course indicates that the proposed approach yields interpretable metrics under Classical Test Theory. Results further show that agents instantiated with the relevant mastered knowledge components exhibit systematically higher performance than agents lacking such mastery. In addition, the study suggests that teacher-persona …

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Dual-Diffusional Generative Fashion Recommendation, Mingzhe Yu, Lei Wu, Qianru Sun, Yunshan Ma Jul 2026

Dual-Diffusional Generative Fashion Recommendation, Mingzhe Yu, Lei Wu, Qianru Sun, Yunshan Ma

Research Collection School Of Computing and Information Systems

Personalized generative recommender systems have emerged as a promising solution for fashion recommendation. However, existing methods primarily rely on implicit visual embeddings from historical interactions, which often contain preference-irrelevant information and result in insufficient user behavior modeling. Moreover, these models typically generate only item images, providing limited interpretability. To address these limitations, we propose DualFashion, a Dual-Diffusional Generative Fashion Recommendation Architecture that jointly models image and text modalities for personalized and explainable recommendation. DualFashion adopts a dual-diffusion Transformer with image and text branches, where structured attribute-level captions and visual outfit information are jointly used as conditioning signals to model user …

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Avadclip: Audio-Visual Collaboration For Robust Video Anomaly Detection, Peng Wu, Wanshun Su, Guansong Pang, Yujia Sun, Qingsen Yan, Peng Wang, Yanning Zhang Jul 2026

Avadclip: Audio-Visual Collaboration For Robust Video Anomaly Detection, Peng Wu, Wanshun Su, Guansong Pang, Yujia Sun, Qingsen Yan, Peng Wang, Yanning Zhang

Research Collection School Of Computing and Information Systems

With the increasing adoption of video anomaly detection in intelligent surveillance domains, conventional visual-only detection approaches often struggle with information insufficiency and high false-positive rates in complex environments. To address these limitations, we present a novel weakly supervised framework that leverages audio-visual collaboration for robust video anomaly detection. Capitalizing on the exceptional cross-modal representation learning capabilities of Contrastive Language-Image Pretraining (CLIP) across visual, audio, and textual domains, our framework introduces two major innovations: an efficient audio-visual fusion that enables adaptive cross-modal integration through lightweight parametric adaptation while maintaining the frozen CLIP backbone, and a novel audio-visual prompt that dynamically enhances …

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2026 July, Morehead State University. Office Of Communications & Marketing. Jul 2026

2026 July, Morehead State University. Office Of Communications & Marketing.

Morehead State Press Release Archive, 1961 to the Present

Press releases for July of 2026.

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Towards Reliable Large Language Models For Cyber Threat Intelligence, Md Tanvirul Alam Jul 2026

Towards Reliable Large Language Models For Cyber Threat Intelligence, Md Tanvirul Alam

Theses

Cyber Threat Intelligence (CTI) helps security analysts respond to evolving threats, but the evidence it draws on is often scattered across noisy reports, advisories, and threat descriptions. Large language models (LLMs) provide a flexible interface for security analysis, yet reliable use requires grounding their outputs in source evidence, domain schemas, and CTI standards. We address this problem through structured threat representation, task-specific evaluation, and verifier-guided post-training. First, we study how unstructured CTI reports can be converted into structured threat knowledge. We develop an ontology-guided extraction framework that normalizes attack patterns, extracts typed entities and relations, and constructs a threat intelligence …

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Activity Transition Graph Generation: How Far Are We?, Jiakun Liu, Peixin Zhang, Han Hu, Yonghui Liu, Wei Minn, Ferdian Thung, Shahar Maoz, Eran Toch, Debin Gao, David Lo Jul 2026

Activity Transition Graph Generation: How Far Are We?, Jiakun Liu, Peixin Zhang, Han Hu, Yonghui Liu, Wei Minn, Ferdian Thung, Shahar Maoz, Eran Toch, Debin Gao, David Lo

Research Collection School Of Computing and Information Systems

Android applications (i.e., apps) are indispensable nowadays and are getting bigger and bigger with an increasing number offunctionalities. To understand how to access functionalities in an app, prior studies proposed tools to model the transitionsbetween functionalities with the activity transition graph (ATG). ATG is an important data structure and has been used forvarious Android app analyses, including app design, understanding, and testing. However, there is no benchmarking work onATG generation. It is still unclear whether the transitions identified by tools are correct and how many transitions are missed.To fill this gap, we manually identified all transitions in 98 applications to …

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Survey On Learning-Based Dynamic Fault Localization: From Traditional Machine Learning To Large Language Models, Chunyan Liu, Yan Lei, Huan Xie, Jinping Wang, Yue Yu, David Lo Jul 2026

Survey On Learning-Based Dynamic Fault Localization: From Traditional Machine Learning To Large Language Models, Chunyan Liu, Yan Lei, Huan Xie, Jinping Wang, Yue Yu, David Lo

Research Collection School Of Computing and Information Systems

Learning-based dynamic fault localization techniques play a crucial role in the field of software engineering. These techniques dynamically execute test cases to meticulously extract useful knowledge from the execution information in the program, with the aim of identifying fault locations by leveraging machine learning, deep learning, and large language models. Currently, there is already a flourishing body of research that is intensely focused on learning-based dynamic fault localization. Research literature can be categorized into two main aspects for learning-based dynamic fault localization: data-based enhancements (i.e., the datasets) and model-based enhancements (i.e., the suspiciousness algorithms). Thus, we conduct an extensive literature …

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Beyond Hard Constraints: Budget-Conditioned Reachability For Safe Offline Reinforcement Learning, Brahmanage Janaka Chathuranga Thilakarathna, Akshat Kumar Jul 2026

Beyond Hard Constraints: Budget-Conditioned Reachability For Safe Offline Reinforcement Learning, Brahmanage Janaka Chathuranga Thilakarathna, Akshat Kumar

Research Collection School Of Computing and Information Systems

Sequential decision-making using Markov Decision Process underpins many real-world applications. Both model-based and model-free methods have achieved strong results in these settings. However, real-world tasks must balance reward maximization with safety constraints, often conflicting objectives, that can lead to unstable min–max, adversarial optimization. A promising alternative is safety reachability analysis, which precomputes a forward-invariant safe state–action set, ensuring that an agent starting inside this set remains safe indefinitely. Yet, most reachability-based methods address only hard safety constraints, and little work extends reachability to cumulative cost constraints. To address this, first, we define a safety-conditioned reachability set that decouples reward maximization …

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Scattered Hypothesis Generation For Open-Ended Event Forecasting, He Chang, Zhulin Tao, Lifang Yang, Xianglin Huang, Yunshan Ma Jul 2026

Scattered Hypothesis Generation For Open-Ended Event Forecasting, He Chang, Zhulin Tao, Lifang Yang, Xianglin Huang, Yunshan Ma

Research Collection School Of Computing and Information Systems

Despite the importance of open-ended event forecasting for risk management, current LLM-based methods predominantly target only the most probable outcomes, neglecting the intrinsic uncertainty of real-world events. To bridge this gap, we advance open-ended event forecasting from pinpoint forecasting to scatter forecasting by introducing the proxy task of hypothesis generation. This paradigm aims to generate an inclusive and diverse set of hypotheses that broadly cover the space of plausible future events. To this end, we propose SCATTER, a reinforcement learning framework that jointly optimizes inclusiveness and diversity of the hypothesis. Specifically, we design a novel hybrid reward that consists of …

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Mab-Dqa: Addressing Query Aspect Importance In Document Question Answering With Multi-Armed Bandits, Yixin Xiang, Yunshan Ma, Xiaoyu Du, Yibing Chen, Yanxin Zhang, Jinhui Tang Jul 2026

Mab-Dqa: Addressing Query Aspect Importance In Document Question Answering With Multi-Armed Bandits, Yixin Xiang, Yunshan Ma, Xiaoyu Du, Yibing Chen, Yanxin Zhang, Jinhui Tang

Research Collection School Of Computing and Information Systems

Document Question Answering (DQA) involves generating answers from a document based on a user’s query, representing a key task in document understanding. This task requires interpreting visual layouts, which has prompted recent studies to adopt multimodal Retrieval-Augmented Generation (RAG) that processes page images for answer generation. However, in multimodal RAG, visual DQA struggles to utilize a large number of images effectively, as the retrieval stage often retains only a few candidate pages (e.g., Top-4), causing informative but less visually salient content to be overlooked in favor of common yet low-information pages. To address this issue, we propose a Multi-Armed Bandit–based …

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Co-Matching: Towards Human–Model Collaborative Legal Case Matching, Chen Huang, Xinwei Yang, Yang Deng, Wenqiang Lei, Jiancheng Lv, Tat-Seng Chua Jul 2026

Co-Matching: Towards Human–Model Collaborative Legal Case Matching, Chen Huang, Xinwei Yang, Yang Deng, Wenqiang Lei, Jiancheng Lv, Tat-Seng Chua

Research Collection School Of Computing and Information Systems

Recent efforts have aimed to improve AI models in legal case matching by integrating legal domain knowledge. However, successful legal case matching requires the tacit knowledge of legal practitioners, which is difficult to verbalize and encode into models. This emphasizes the crucial role of involving legal practitioners in high-stakes legal case matching. To address this, we propose a collaborative matching framework called Co-Matching, which encourages both the model and the legal practitioner to participate in the matching process, integrating tacit knowledge. Unlike existing methods that rely solely on the model, Co-Matching allows both the legal practitioner and the model to …

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Co-Production Of A Mobile Application For Parents Of Acutely Ill Children Under Five: ‘Ipoorly Child Symptom Checker’, Sarah Neill, Amy Rathbone, John Downey, Monica Lakhanpaul, Damian Roland, Matt Carey Jul 2026

Co-Production Of A Mobile Application For Parents Of Acutely Ill Children Under Five: ‘Ipoorly Child Symptom Checker’, Sarah Neill, Amy Rathbone, John Downey, Monica Lakhanpaul, Damian Roland, Matt Carey

School of Nursing and Midwifery

Acutely-ill children under five years are increasing users of urgent and emergency care with no increase in acuity of presenting illnesses. This raises concerns about parents' knowledge and confidence in assessing the severity ofsymptoms of acute illness, despite the abundance of digital information available.Method:Weco-designedtheiPoorlychildsymptomcheckerappusingexperience-basedco-designmethodology with seven parents and seven health professional patient and public involvement representatives. The prototype was iteratively developed on a no-code platform, then released for testing on android and iOS app stores for six weeks. The app was downloaded 603 times and 60% of users completed the embedded evaluation form. Results: System usability scale items were all …

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Using Individual Vs. Group Evaluation To Incentivize Effort For Heterogeneous Groups, Prasart Jongjaroenkamol Jul 2026

Using Individual Vs. Group Evaluation To Incentivize Effort For Heterogeneous Groups, Prasart Jongjaroenkamol

Research Collection School Of Accountancy

This study uses an analytical model to examine how individual and group performance evaluations affect motivation among agents with different abilities. While group evaluations encourage collaboration, they also introduce uncertainty. The results reveal a non-monotonic relationship between the weight assigned to group evaluations and motivation: motivation increases at moderate weights but decreases when the weight is too low or high. The study also identifies the optimal weighting between evaluation types to maximize motivation and examines factors influencing these allocations. These insights demonstrate how evaluation design shapes effort incentives and inform performance measurement and assessment practices in organizational and educational contexts.

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The Due Diligence That Investors In Family Businesses Must Not Skip, Yuanto Kusnadi, Kenneth T. Goh Jul 2026

The Due Diligence That Investors In Family Businesses Must Not Skip, Yuanto Kusnadi, Kenneth T. Goh

Research Collection School Of Accountancy

In a commentary, SMU Associate Professor of Accounting (Education) Yuanto Kusnadi and Kenneth Goh, Director of Private Wealth Management at UOB Kay Hian, opined that minority shareholders should understand the specific risks highlighted in company filings. They noted that the greatest risk of investing in a family-controlled company lies not only in its business performance, but also in how controlling families exercise their influence. While Singapore's regulatory framework provides safeguards for minority shareholders, these protections are not foolproof. However, they require significant transactions to be disclosed and give minority shareholders a voice, provided they review the circulars and exercise their …

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Personal Goal Facilitation, Burnout And Work Engagement: The Role Of Self-Discrepancy, Jacinth Jia Xin Tan, Bek Wuay Tang Jul 2026

Personal Goal Facilitation, Burnout And Work Engagement: The Role Of Self-Discrepancy, Jacinth Jia Xin Tan, Bek Wuay Tang

Research Collection School of Social Sciences

Employees who perceive greater personal goal facilitation through work (PGFW) experience lower burnout and higher work engagement. This research examined whether self-discrepancies and emotional experiences explain these relationships across two cross-sectional studies involving a nationally representative sample of working adults (Study 1; N = 889) and a sample of public school teachers (Study 2; N = 228) in Singapore. Participants listed personal goals and rated how much their jobs facilitated these goals, alongside measures of self-discrepancy, emotions, burnout, and engagement. Across both samples, higher PGFW predicted lower burnout and greater engagement. These associations were consistently explained by lower ideal self-discrepancy …

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Global Prevalence Of Internet Gaming Disorder: An Umbrella Review Of Meta-Analytic Evidence And Implications For Child And Adolescent Psychiatry, Elisabeth C. S. Poon, Xun Ci Soh, Trina J. H. Poh, Andre C. S. Tan, Andree Hartanto Jul 2026

Global Prevalence Of Internet Gaming Disorder: An Umbrella Review Of Meta-Analytic Evidence And Implications For Child And Adolescent Psychiatry, Elisabeth C. S. Poon, Xun Ci Soh, Trina J. H. Poh, Andre C. S. Tan, Andree Hartanto

Research Collection School of Social Sciences

Background/Objectives: Internet gaming has become a widespread global activity, raising concerns about the prevalence of Internet Gaming Disorder (IGD). However, existing meta-analyses report highly variable prevalence estimates. This umbrella review aims to clarify the prevalence and variability of IGD by synthesizing evidence from meta-analyses to provide a comprehensive overview of IGD prevalence across populations, age groups, and regions. Methods: Following PRISMA guidelines, systematic searches were carried out across five published literature databases and two supplementary search sources. Title and abstract screening, followed by full-text eligibility assessment, were conducted independently by three authors. The same three authors then performed data extraction …

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A 10-Minute Walk From The Mrt. But For Whom?, Paulin Tay Straughan, Yi Wen (Chen Yiwen) Tan, Wensi Lim Jul 2026

A 10-Minute Walk From The Mrt. But For Whom?, Paulin Tay Straughan, Yi Wen (Chen Yiwen) Tan, Wensi Lim

Research Collection School of Social Sciences

They highlighted that as people age, mobility naturally declines, adding that the convenient shorthand such as a “10-minute walk” to define accessibility is ultimately a social construct – one that must be grounded in lived realities and evidence. They noted that ageing in place is not just the ability to remain at home as one transitions into later life – it is about living in an environment that fosters attachment, continuity and well-being, which requires both the built and social environments to be supportive. Responses must be guided by solid evidence – through ongoing conversations with those whose needs we …

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