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International Business And Sustainability: Towards An Interdisciplinary Research Agenda, Jonathan Doh, Ans Kolk, Heli Wang May 2026

International Business And Sustainability: Towards An Interdisciplinary Research Agenda, Jonathan Doh, Ans Kolk, Heli Wang

Research Collection Lee Kong Chian School Of Business

The relationship between international business (IB) and sustainability is a complex and multifaceted one. Multinational enterprises (MNEs) both affect and are affected by the social, economic, and ecological (green environment) context in which they are embedded.1 As such, the study of how IB activity influences sustainability and the way that sustainability, in turn, impacts IB, involves incorporating a wide range of drivers, actors, processes, and outcomes. At the same time, sustainability challenges, such as climate change, biodiversity loss, pollution, resource scarcity, economic and social inequality and others, are increasingly systemic, multilevel, and intertwined with geo economic, biophysical and governance dynamics …

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Improving Estimation Efficiency Via Regression-Adjustment In Covariate-Adaptive Randomizations With Imperfect Compliance, Liang Jiang, Oliver B. Linton, Haihan Tang, Yichong Zhang May 2026

Improving Estimation Efficiency Via Regression-Adjustment In Covariate-Adaptive Randomizations With Imperfect Compliance, Liang Jiang, Oliver B. Linton, Haihan Tang, Yichong Zhang

Research Collection School Of Economics

We study how to improve efficiency via regression adjustments with additional covariates under covariate-adaptive randomizations (CARs) when subject compliance is imperfect. We first establish the semiparametric efficiency bound for the local average treatment effect (LATE) under CARs. Second, we develop a general regression-adjusted LATE estimator which allows for parametric, nonparametric, and regularized adjustments. Even when the adjustments are misspecified, our proposed estimator is still consistent and asymptotically normal, and their inference method still achieves the exact asymptotic size under the null. When the adjustments are correctly specified, our estimator achieves the semiparametric efficiency bound. Third, we derive the optimal linear …

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Using Satellite-Observed Geospatial Inundation Data To Identify The Impacts Of Floods On Firm-Level Performance: The Case Of China During 2000–2009, Pao-Li Chang, Fan Zheng May 2026

Using Satellite-Observed Geospatial Inundation Data To Identify The Impacts Of Floods On Firm-Level Performance: The Case Of China During 2000–2009, Pao-Li Chang, Fan Zheng

Research Collection School Of Economics

This paper compiles high-resolution geospatial inundation areas of China for the period 2000–2009 based on satellite imagery repositories filtered by the Global Flood Database (GFD). In parallel, we geocode a comprehensive firm-level dataset of China and combine these two sets of geospatial data to identify the set of inundated firms in each year of flood events, as well as the distances of all non-inundated firms from the inundated areas. Given the high-resolution inundation data, we adopt a generalized dynamic-panel specification to estimate dynamic and spatial spillover effects of floods on firm-level production activities (including outputs, capital and labor inputs, and …

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Insolvency Law In The Global South: Lessons For The Global North, Aurelio Gurrea-Martinez May 2026

Insolvency Law In The Global South: Lessons For The Global North, Aurelio Gurrea-Martinez

Research Collection Yong Pung How School Of Law

Despite the influence of the Global North in many insolvency laws and practices in the Global South, this article shows that the Global South has innovated in many aspects of insolvency law. In some cases, these innovations consist of solutions that, with certain adjustments, have been imported from the Global North. In others, they are really ‘autochthonous innovations’ from the Global South. This article identifies both types of innovations, providing examples from jurisdictions such as Brazil, Chile, China, Colombia, Dominican Republic, India, Malaysia, Mexico, Myanmar, Peru, Philippines, Thailand and Uruguay. More importantly, it will be shown how those innovations from …

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Childlessness And Advance Care Planning In Midlife And Late Adulthood: A Mixed-Methods Study In Singapore, Bussarawan Teerawichitchainan, Dahye Kim, Pearlyn Hui Min Hui, Christine Ho May 2026

Childlessness And Advance Care Planning In Midlife And Late Adulthood: A Mixed-Methods Study In Singapore, Bussarawan Teerawichitchainan, Dahye Kim, Pearlyn Hui Min Hui, Christine Ho

Research Collection School Of Economics

Advance care planning (ACP) is critical for ensuring high-quality, cost-effective end-of-life care and is typically facilitated by spouses and adult children. Yet, the growing number of older adults without children has been overlooked in ACP research. This study employs a mixed-methods approach to examine ACP practices and perceptions among childless adults aged 50+ in Singapore, a rapidly aging society with one of the world's highest childlessness rates. Quantitative analyses draw on nationwide survey data (N = 1,500), complemented by interviews with childless respondents (N = 26). We examine multiple dimensions of ACP: formal ACP (e.g., living wills, Lasting Power of …

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Detecting Doubt In Reflective Learning: A Learning Analytics Study With Large And Small Language Models, Eng Lieh Ouh, Kar Way Tan, Siaw Ling Lo, Yuhao Zhang May 2026

Detecting Doubt In Reflective Learning: A Learning Analytics Study With Large And Small Language Models, Eng Lieh Ouh, Kar Way Tan, Siaw Ling Lo, Yuhao Zhang

Research Collection School Of Computing and Information Systems

Reflective learning enhances understanding, especially when instructors promptly address difficulties raised in student reflections. Automated doubt detection can reduce time for instructors, yet existing classification approaches take substantial time for manual annotation and model training. This paper investigates whether large and small language models (LLMs, SLMs) can automate doubt detection without time-consuming training. Using a dataset of anonymized student reflections, we evaluate zeroshot, few-shot prompting, and multi-step reasoning against prior supervised classification baselines. We show that LLMs (GPT-4o, Claude-4, Gemini-2.5) surpass earlier F1 scores without prompting, while prompting further improves their performance. However, using proprietary LLMs can raise cost and …

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Cities And Climate Change, Matthias Roth, Enric Aguilar, Winston T. L. Chow May 2026

Cities And Climate Change, Matthias Roth, Enric Aguilar, Winston T. L. Chow

Research Collection College of Integrative Studies

We are pleased to present this special virtual collection of articles, highlighting the multifaceted interactions between cities, local climates, and global anthropogenic climate change. Climate change and urbanisation are the two global megatrends that transform human life and, at the same time, directly impact each other. Urban areas have the highest density of human populations and experience altered atmospheric conditions due to anthropogenic modification of natural physical settings and extra emissions of air pollutants and trace gases. One of the most obvious examples of climate modification due to humans is the urban heat island (UHI). This phenomenon describes urban regions, …

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Miserly Thinking: Understanding The Factors Shaping Public Support Towards Project Wolbachia In Singapore, Shirley S. Ho, Agnes S. F. Chuah, Fiona J. W. Goh, Nova Mengxia Huang, Mengxue Qu, Hye Kyung Kim, Sonny Rosenthal May 2026

Miserly Thinking: Understanding The Factors Shaping Public Support Towards Project Wolbachia In Singapore, Shirley S. Ho, Agnes S. F. Chuah, Fiona J. W. Goh, Nova Mengxia Huang, Mengxue Qu, Hye Kyung Kim, Sonny Rosenthal

Research Collection College of Integrative Studies

Project Wolbachia is a vector control method that releases male Wolbachia-infected Aedes mosquitoes to curb dengue transmission in Singapore. While research has primarily focused on its efficacy, few studies have examined public opinion. This study draws upon the cognitive miser model and scientific literacy model to examine the factors shaping public support for Project Wolbachia. A nationally representative door-to-door survey was conducted in Singapore (N = 1,000) using multi-stage stratified random sampling. Our findings revealed that while knowledge about Project Wolbachia explains public support, laypeople may often rely on cognitive shortcuts, such as value predispositions, media attention, and pre-existing perceptions, …

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Public Pool Usage As Adaptation Against Urban Heat, Stefan Borsky, Eric Fesselmeyer May 2026

Public Pool Usage As Adaptation Against Urban Heat, Stefan Borsky, Eric Fesselmeyer

Research Collection College of Integrative Studies

This paper examines the relationship between urban heat and outdoor public pool usage. Using attendance data from all 53 outdoor public pools in New York City, we analyze nonlinear effects of heat on pool usage across socioeconomic contexts. Pool attendance rises sharply with heat, especially in low-income neighborhoods where alternative coping options are likely limited. We also find that public pools reduce heat-related emergency medical service calls. Our findings highlight the need for equitable investment in blue infrastructure to enhance urban climate resilience and demonstrate how this type of adaptive infrastructure can play a critical role in managing urban heat.

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Patterns In Awareness And Uptake Of The Lpa Among Older Adults In Singapore, Paulin Tay Straughan, Emi Loh, Cassandra Ng, Yi Wen (Chen Yiwen) Tan, Wensi Lim May 2026

Patterns In Awareness And Uptake Of The Lpa Among Older Adults In Singapore, Paulin Tay Straughan, Emi Loh, Cassandra Ng, Yi Wen (Chen Yiwen) Tan, Wensi Lim

Research Collection School of Social Sciences

Findings from a survey with 7910 Singapore Life Panel members reveal that awareness of the Lasting Power of Attorney (LPA) was relatively high, but actual uptake remained low, with only one in three having made an LPA and pronounced gaps among lower socioeconomic groups. Despite this, attitudes towards LPA were generally positive, with perceived benefits centered on peace of mind and reducing burdens on family members. A major barrier to adoption is the misconception that children automatically have the legal authority to make decisions if parents lose mental capacity. Structural and psychological barriers, including cost, complexity, and limited guidance, further …

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Sevoauth: Secure Voiceprint Authentication With Hash-Based Feature Transformation, Rui Zhang, Zheng Yan, Robert H. Deng May 2026

Sevoauth: Secure Voiceprint Authentication With Hash-Based Feature Transformation, Rui Zhang, Zheng Yan, Robert H. Deng

Research Collection School Of Computing and Information Systems

While voiceprint authentication offers convenient user authentication and access control through voice feature recognition, a critical research gap remains: existing voiceprint authentication systems fail to simultaneously achieve sound security against replay, spoofing, and adversarial attacks, preserve voice privacy leakage, and satisfy usability demand. Previous efforts have struggled to balance these issues comprehensively. To bridge this gap, we present SeVoAuth, a cloud-based Voiceprint Authentication as a Service (VAaaS) system designed to provide privacy preservation, robust security, and enhanced usability. SeVoAuth stores a synthesized voiceprint of a user in the cloud during user registration, thereby safeguarding the privacy of the real voiceprint …

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Collaborative Practices And Tool Utilization In Software Development Projects: A Student Perspective, Yi Meng Lau, Muhammad Syahmi Bin Abbas, Lingxiao Jiang May 2026

Collaborative Practices And Tool Utilization In Software Development Projects: A Student Perspective, Yi Meng Lau, Muhammad Syahmi Bin Abbas, Lingxiao Jiang

Research Collection School Of Computing and Information Systems

Software development is a collaborative activity that depends on effective teamwork, shared understanding, and coordinated use of development practices and tools. While these aspects are well studied in professional environments, they are less frequently examined within software engineering education. This study investigates how students collaborate in group projects, focusing on collaborative practices, tool usage, and their perceptions of software quality. We conducted a quantitative post-project survey with 143 second-year undergraduate students enrolled in a software development course. The results show that students actively share information and often establish team norms to support coordination and collaboration. However, students face challenges in …

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Generation Of Elaborated, Targeted And Effective Feedback For Novice Programmers Using Llm, Hua Leong Fwa May 2026

Generation Of Elaborated, Targeted And Effective Feedback For Novice Programmers Using Llm, Hua Leong Fwa

Research Collection School Of Computing and Information Systems

Programming errors and misconceptions are pervasive in novice programmers which causes difficulty in the learning of computer programming. Large Language Models (LLMs), with their ability to comprehend and generate programming codes have shown promising results in the automatic identification of errors. This can potentially benefit student programmers by providing them with timely formative feedback at efficiencies and scale that were not attainable previously. In this study, we leveraged an LLM - OpenAI o4-mini for the generation of elaborated, targeted feedback for novice programmers across PHP and JavaScript exercises. We contend that the feedback needs to be effective and targeted other …

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Robots And Ageing Population – Rehabilitation And Social Robots, Yuzhou Qian, Keng Siau May 2026

Robots And Ageing Population – Rehabilitation And Social Robots, Yuzhou Qian, Keng Siau

Research Collection School Of Computing and Information Systems

Population ageing is placing increasing pressure on healthcare and caregiving worldwide. Governments in different countries are looking into the use of advanced information technologies such as artificial intelligence and robotics to help in caring for ageing population. Older adults often need both physical assistance and psychological support, and robots have emerged as a promising technological approach to supplement eldercare. This paper provides an overview of the current state of robots in eldercare. It reviews the major definitions, categories, and features of robots used in healthcare and eldercare. The paper also examines the potential benefits of robotic technologies, such as reducing …

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The Downside Of Generosity: How Rare Giving Fosters Stronger Social Connection, Minkwang Jang, Shereen J Chaudhry, Ayelet Fishbach May 2026

The Downside Of Generosity: How Rare Giving Fosters Stronger Social Connection, Minkwang Jang, Shereen J Chaudhry, Ayelet Fishbach

Research Collection Lee Kong Chian School Of Business

Giving serves not only to benefit others and society but also to foster social connections between givers and recipients. However, more giving is not necessarily merrier. This research finds that social connection depends not only on the act of giving but also on how many others receive the gesture from the same giver. Rare givers—those who give to fewer recipients—are perceived as more socially connected to each recipient than broad givers—those who give to many (the rare giving effect). This effect emerges across diverse contexts, including interpersonal gift exchanges in both new and existing relationships and corporate donations. As a …

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Ai Models As Cultural Beings: Investigating Ai Cultural Biases And The Impact Of Cultural Alignment On Human-Ai Creative Collaboration, Choon Ngee Tan, Meng Han, Roy Y. J. Chua, Chi-Ying Cheng Apr 2026

Ai Models As Cultural Beings: Investigating Ai Cultural Biases And The Impact Of Cultural Alignment On Human-Ai Creative Collaboration, Choon Ngee Tan, Meng Han, Roy Y. J. Chua, Chi-Ying Cheng

Research Collection Lee Kong Chian School Of Business

Existing research on AI cultural biases predominantly focuses on Western models, overlooking critical gaps in non-Western models. We conduct a comparative analysis of AI models – ChatGPT (U.S. developed) and ErnieBot (China developed) – from different cultures to investigate how corresponding cultural biases manifest in their outputs. Additionally, we examine how cultural alignment between human users and AI models impacts their collaborative creative performance and the underlying psychological mechanisms. In Study 1, multi-choice prompt with zero-shot technique was used to evaluate cultural biases in four widely used AI models – ChatGPT-3.5/4, ErnieBot-3.5/4 – comparing their responses to established cultural psychometric …

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Super Lidar Intensity For Robotic Perception, Wei Gao, Jie Zhang, Mingle Zhao, Zhiyuan Zhang, Shu Kong, Maani Ghaffari, Dezhen Song, Chengzhong Xu, Hui Kong Apr 2026

Super Lidar Intensity For Robotic Perception, Wei Gao, Jie Zhang, Mingle Zhao, Zhiyuan Zhang, Shu Kong, Maani Ghaffari, Dezhen Song, Chengzhong Xu, Hui Kong

Research Collection School Of Computing and Information Systems

Conventionally, human intuition defines vision as a modality of passive optical sensing, relying on ambient light to perceive the environment. However, active optical sensing, which involves emitting and receiving signals, offers unique advantages by capturing both radiometric and geometric properties of the environment, independent of external illumination conditions. This work focuses on advancing active optical sensing using Light Detection and Ranging (LiDAR), which captures intensity data, enabling the estimation of surface reflectance that remains invariant under varying illumination. Such properties are crucial for robotic perception tasks, including detection, recognition, segmentation, and Simultaneous Localization and Mapping (SLAM). A key challenge with …

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Learning Feature Inversion For Multi-Class Anomaly Detection Under General-Purpose Coco-Ad Benchmark, Jiangning Zhang, Chengjie Wang, Xiangtai Li, Guanzhong Tian, Zhucun Xue, Yong Liu, Guansong Pang, Dacheng Tao Apr 2026

Learning Feature Inversion For Multi-Class Anomaly Detection Under General-Purpose Coco-Ad Benchmark, Jiangning Zhang, Chengjie Wang, Xiangtai Li, Guanzhong Tian, Zhucun Xue, Yong Liu, Guansong Pang, Dacheng Tao

Research Collection School Of Computing and Information Systems

Anomaly detection (AD) is often focused on detecting anomaly areas for industrial quality inspection and medical lesion examination. However, due to the specific scenario targets, the data scale for AD is relatively small, and evaluation metrics are still deficient compared to classic vision tasks, such as object detection and semantic segmentation. To fill these gaps, this work first constructs a large-scale and general-purpose COCO-AD dataset by extending COCO to the AD field. This enables fair evaluation and sustainable development for different methods on this challenging benchmark. Moreover, current metrics such as AU-ROC have nearly reached saturation on simple datasets, which …

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Can Financial Literacy Enhance Esg Disclosures?, Xiaoran Jia, Kiridaran Kanagaretnam, Kiat Bee Jimmy Lee, Chee Yeow Lim Apr 2026

Can Financial Literacy Enhance Esg Disclosures?, Xiaoran Jia, Kiridaran Kanagaretnam, Kiat Bee Jimmy Lee, Chee Yeow Lim

Research Collection School Of Accountancy

Using an international sample of firms and two country-level measures of financial literacy, we find robust evidence of a positive relation between financial literacy and firms' Environmental, Social and Governance (ESG) disclosures. In cross-sectional analyses, we find that the effect of financial literacy in enhancing ESG disclosures is more prominent in poorer information environments, weaker legal institutions and weaker ESG reporting environments. Lastly, we find that financial literacy also enhances ESG performance. Our study contributes to and extends the literature by providing strong evidence that citizens' financial literacy enhances firms' ESG disclosure and the associated ESG performance.

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Corporate Response To The Black Lives Matter Movement: Determinants Of Speaking Out In Support Of Social Causes, A. J. Yuan Chen, Patricia M. Dechow, Samuel T. Tan Apr 2026

Corporate Response To The Black Lives Matter Movement: Determinants Of Speaking Out In Support Of Social Causes, A. J. Yuan Chen, Patricia M. Dechow, Samuel T. Tan

Research Collection School Of Accountancy

We document that firms vary in their timeliness of support for the Black Lives Matter (BLM) movement following the death of George Floyd in May 2020, and that timeliness is an indicator of authenticity. We predict that firms that speak out quickly in support of BLM (via Twitter or their websites) have made more investments in diversity and inclusion, relative to firms that speak out slowly (via conference calls or annual reports) or that remain silent. Consistent with this prediction, quick-disclosing firms have greater workforce diversity, have boards with greater ethnic diversity, and are more likely to tie executive compensation …

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Causality-Aware Safety Testing For Autonomous Driving Systems, Wenbing Tang, Mingfei Cheng, Renzhi Wang, Yuan Zhou, Chengwei Liu, Yang Liu, Zuohua Ding Apr 2026

Causality-Aware Safety Testing For Autonomous Driving Systems, Wenbing Tang, Mingfei Cheng, Renzhi Wang, Yuan Zhou, Chengwei Liu, Yang Liu, Zuohua Ding

Research Collection School Of Computing and Information Systems

Simulation-based testing is essential for evaluating the safety of Autonomous Driving Systems (ADSs). Comprehensive evaluation requires testing across diverse scenarios that can trigger various types of violations under different conditions. While existing methods typically focus on individual diversity metrics, such as input scenarios, ADS-generated motion commands, and system violations, they often fail to capture the complex interrelationships among these elements. For instance, identical motion commands can produce different collision risks in varying scenes, and the same collision may result from different commands under different scenarios. This oversight leads to gaps in testing coverage, potentially missing critical issues in the ADS …

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Developing Blockchain-Based Transparent E-Commerce Solutions For Danish Smes To Promote Sustainable Design Products, Somnath Mazumdar, Robert John Kauffman, Thomas Jensen, Raghava Rao Mukkamala, Jan Damsgaard Apr 2026

Developing Blockchain-Based Transparent E-Commerce Solutions For Danish Smes To Promote Sustainable Design Products, Somnath Mazumdar, Robert John Kauffman, Thomas Jensen, Raghava Rao Mukkamala, Jan Damsgaard

Research Collection School Of Computing and Information Systems

Typically, a firm's objectives include establishing consumer confidence, preserving its brand image, and developing a profitable business strategy. Consumers now place greater emphasis on the sustainability and transparency of their purchases. Given environmental and economic limitations, firms are often compelled to implement sustainable production methods. This is especially a struggle for small- and medium-sized enterprises (SMEs) with new technology, as it can increase their risk of failure. This has led to a problem for consumers, who must cross-check the sustainability-related claims of the firms they buy from. This is challenging because of limited process trace data and restricted enforcement capabilities. …

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From Spatial To Actions: Grounding Vision-Language-Action Model In Spatial Foundation Priors, Zhengshen Zhang, Hao Li, Yalun Dai, Zhengbang Zhu, Lei Zhou, Chenchen Liu, Dong Wang, Francis E. H. Tay, Sijin Chen, Ziwei Liu, Yuxiao Liu, Xinghang Li, Pan Zhou Apr 2026

From Spatial To Actions: Grounding Vision-Language-Action Model In Spatial Foundation Priors, Zhengshen Zhang, Hao Li, Yalun Dai, Zhengbang Zhu, Lei Zhou, Chenchen Liu, Dong Wang, Francis E. H. Tay, Sijin Chen, Ziwei Liu, Yuxiao Liu, Xinghang Li, Pan Zhou

Research Collection School Of Computing and Information Systems

Existing vision-language-action (VLA) models act in 3D real-world but are typically built on 2D encoders, leaving a spatial reasoning gap that limits generalization and adaptability. Recent 3D integration techniques for VLAs either require specialized sensors and transfer poorly across modalities, or inject weak cues that lack geometry and degrade vision-language alignment. In this work, we introduce FALCON (From Spatial to Action), a novel paradigm that injects rich 3D spatial tokens into the action head. FALCON leverages spatial foundation models to deliver strong geometric priors from RGB alone, and includes an Embodied Spatial Model that can optionally fuse depth, or pose …

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Thinktank-Me: A Multi-Expert Framework For Middle East Event Forecasting, Haoxuan Li, He Chang, Yunshan Ma, Yi Bin, Yang Yang, See-Kiong Ng, Tat-Seng Chua Apr 2026

Thinktank-Me: A Multi-Expert Framework For Middle East Event Forecasting, Haoxuan Li, He Chang, Yunshan Ma, Yi Bin, Yang Yang, See-Kiong Ng, Tat-Seng Chua

Research Collection School Of Computing and Information Systems

Event forecasting is inherently influenced by multifaceted considerations, including international relations, regional historical dynamics, and cultural contexts. However, existing LLM-based approaches employ single-model architectures that generate predictions along a singular explicit trajectory, constraining their ability to capture diverse geopolitical nuances across complex regional contexts. To address this limitation, we introduce ThinkTank-ME, a novel Think Tank framework for Middle East event forecasting that emulates collaborative expert analysis in real-world strategic decision-making. To facilitate expert specialization and rigorous evaluation, we construct POLECAT-FOR-ME, a Middle East–focused event forecasting benchmark. Experimental results demonstrate the superiority of multi-expert collaboration in handling complex temporal geopolitical forecasting …

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On Autopilot? An Empirical Study Of Human-Ai Teaming And Review Practices In Open Source, Haoyu Gao, Peerachai Banyongrakkul, Hao Guan, Mansooreh Zahedi, Christoph Treude Apr 2026

On Autopilot? An Empirical Study Of Human-Ai Teaming And Review Practices In Open Source, Haoyu Gao, Peerachai Banyongrakkul, Hao Guan, Mansooreh Zahedi, Christoph Treude

Research Collection School Of Computing and Information Systems

Large Language Models (LLMs) increasingly automate software engineering tasks. While recent studies highlight the accelerated adoption of “AI as a teammate” in Open Source Software (OSS), developer interaction patterns remain under-explored. In this work, we investigated project-level guidelines and developers’ interactions with AI-assisted pull requests (PRs) by expanding the AIDev dataset to include finer-grained contributor code ownership and a comparative baseline of human-created PRs. We found that over 67.5% of AI-co-authored PRs originate from contributors without prior code ownership. Despite this, the majority of repositories lack guidelines for AI-coding agent usage. Notably, we observed a distinct interaction pattern: AI-co-authored PRs …

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Architecture-Agnostic Test-Time Adaptation Via Backprop-Free Embedding Alignment, Xiao Ma, Young D. Kwon, Pan Zhou, Dong Ma Apr 2026

Architecture-Agnostic Test-Time Adaptation Via Backprop-Free Embedding Alignment, Xiao Ma, Young D. Kwon, Pan Zhou, Dong Ma

PhD Student’s Publications Collection

Test-Time Adaptation (TTA) adapts a deployed model during online inference to mitigate the impact of domain shift. While achieving strong accuracy, most existing methods rely on backpropagation, which is memory and computation intensive, making them unsuitable for resource-constrained devices. Recent attempts to reduce this overhead often suffer from high latency or are tied to specific architectures such as ViT-only or CNN-only. In this work, we revisit domain shift from an embedding perspective. Our analysis reveals that domain shift induces three distinct structural changes in the embedding space: translation (mean shift), scaling (variance shift), and rotation (covariance shift). Based on this …

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Measuring Research Impact At Singapore Management University, Pin Pin Yeo Apr 2026

Measuring Research Impact At Singapore Management University, Pin Pin Yeo

Research Collection Library

Describes the support and services provided by SMU Libraries to the institution for research assessment.

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The Impact Imperative: Building Universities And Institutions That Demonstrably Matter, Scott Fritzen Apr 2026

The Impact Imperative: Building Universities And Institutions That Demonstrably Matter, Scott Fritzen

Asian Management Insights

The university has never been more powerful— or more embattled. Research output has expanded sharply. Global collaborations span continents. Elite institutions, once concentrated in the West, have taken root across Asia, the Middle East and beyond. Universities anchor innovation districts, train professionals and generate discoveries that shape modern life. By the conventional measures long used by the academy to evaluate itself—publications, rankings, enrolments, revenue—higher education, taken as a whole, is thriving in many contexts.

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From Index To Impact: How Vietnam’S Provincial Competitiveness Index Shapes Governance, Investment And Reform, Edmund J. Malesky Apr 2026

From Index To Impact: How Vietnam’S Provincial Competitiveness Index Shapes Governance, Investment And Reform, Edmund J. Malesky

Asian Management Insights

Why business leaders should watch Vietnam’s subnational reform experiment closely.

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The Cost Of Silence, Sabine Benoit Apr 2026

The Cost Of Silence, Sabine Benoit

Asian Management Insights

From wellness myths to financial hype, the real risk is not just misinformation—it’s misinformed decision-making. When confidence becomes a proxy for credibility, strategies and sensibility drift. Here’s how leaders can raise the evidence bar and institutionalise independent challenge.

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