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Articles 1711 - 1740 of 23193
Full-Text Articles in Entire DC Network
Respear: Earable-Based Robust Respiratory Rate Monitoring, Yang Liu, Kayla-Jade Butkow, Jake Stuchbury-Wass, Adam Pullin, Dong Ma, Cecilia Masolo
Respear: Earable-Based Robust Respiratory Rate Monitoring, Yang Liu, Kayla-Jade Butkow, Jake Stuchbury-Wass, Adam Pullin, Dong Ma, Cecilia Masolo
Research Collection School Of Computing and Information Systems
Respiratory rate (RR) monitoring is integral to understanding physical and mental health and tracking fitness. Existing studies have demonstrated the feasibility of RR monitoring under specific user conditions (e.g., while remaining still, or while breathing heavily). Yet, performing accurate, continuous and non-obtrusive RR monitoring across diverse daily routines and activities remains challenging. In this work, we present RespEar, an earable-based system for robust RR monitoring. By leveraging the unique properties of in-ear microphones in earbuds, RespEar enables the use of Respiratory Sinus Arrhythmia (RSA) and Locomotor Respiratory Coupling (LRC), physiological couplings between cardiovascular activity, gait and respiration, to indirectly determine …
Forward-Secure Hierarchical Delegable Signature For Smart Homes, Jianfei Sun, Guowen Xu, Yang Yang, Xuehuan Yang, Xiaoguo Li, Cong Wu, Zhen Liu, Guomin Yang, Robert H. Deng
Forward-Secure Hierarchical Delegable Signature For Smart Homes, Jianfei Sun, Guowen Xu, Yang Yang, Xuehuan Yang, Xiaoguo Li, Cong Wu, Zhen Liu, Guomin Yang, Robert H. Deng
Research Collection School Of Computing and Information Systems
Aiming to provide people with great convenience and comfort, smart home systems have been deployed in thousands of homes. In this paper, we focus on handling the security and privacy issues in such a promising system by customizing a new cryptographic primitive to provide the following security guarantees: (1) fine-grained, privacy-preserving authorization for smart home users and integrity protection of communication contents; (2) flexible self-sovereign permission delegation; (3) forward security of previous messages. To our knowledge, no previous system has been designed to consider these three security and privacy requirements simultaneously. To tackle these challenges, we put forward the first-ever …
Adaptive Deviation Learning For Visual Anomaly Detection With Data Contamination, Aanindya Sundar Das, Guansong Pang, Monowar Bhuyan
Adaptive Deviation Learning For Visual Anomaly Detection With Data Contamination, Aanindya Sundar Das, Guansong Pang, Monowar Bhuyan
Research Collection School Of Computing and Information Systems
Visual anomaly detection targets to detect images that notably differ from normal pattern, and it has found extensive application in identifying defective parts within the manufacturing industry. These anomaly detection paradigms predominantly focus on training detection models using only clean, unlabeled normal samples, assuming an absence of contamination; a condition often unmet in real-world scenarios. The performance of these methods significantly depends on the quality of the data and usually decreases when exposed to noise. We introduce a systematic adaptive method that employs deviation learning to compute anomaly scores end-to-end while addressing data contamination by assigning relative importance to the …
Generalization Analysis For Deep Contrastive Representation Learning, Minh Hieu Nong, Antoine Ledent, Yunwen Lei, Cheng Yeaw Ku
Generalization Analysis For Deep Contrastive Representation Learning, Minh Hieu Nong, Antoine Ledent, Yunwen Lei, Cheng Yeaw Ku
Research Collection School Of Computing and Information Systems
In this paper, we present generalization bounds for the unsupervised risk in the Deep Contrastive Representation Learning framework, which employs deep neural networks as representation functions. We approach this problem from two angles. On the one hand, we derive a parameter-counting bound that scales with the overall size of the neural networks. On the other hand, we provide a norm-based bound that scales with the norms of neural networks’ weight matrices. Ignoring logarithmic factors, the bounds are independent of k, the size of the tuples provided for contrastive learning. To the best of our knowledge, this property is only shared …
Faith Misplaced: Working Out The Roles Of Faith And Law In Pluralist Democracies, Seow Hon Tan
Faith Misplaced: Working Out The Roles Of Faith And Law In Pluralist Democracies, Seow Hon Tan
Research Collection Yong Pung How School Of Law
In pluralist democracies where legal and constitutional rights to freedom of conscience and religion exist, one can too readily-and sometimes, misguidedly - conclude that faith-based arguments, or arguments made by those who are religiously motivated, have little or no place in lawmaking. For example, it maybe thought that free and equal citizens have been accorded the freedom (not) to profess and practice a religion. Given the ubiquity of law and its impact on all, including those without a religion, if the religious were to shape the law from religious perspectives, freedom of others may be negatively impacted or rendered nugatory …
Revisiting Sentiment Analysis For Software Engineering In The Era Of Large Language Models, Ting Zhang, Ivana Clairine Irsan, Thung Ferdian, David Lo
Revisiting Sentiment Analysis For Software Engineering In The Era Of Large Language Models, Ting Zhang, Ivana Clairine Irsan, Thung Ferdian, David Lo
Research Collection School Of Computing and Information Systems
Software development involves collaborative interactions where stakeholders express opinions across various platforms. Recognizing the sentiments conveyed in these interactions is crucial for the effective development and ongoing maintenance of software systems. For software products, analyzing the sentiment of user feedback, e.g., reviews, comments, and forum posts can provide valuable insights into user satisfaction and areas for improvement. This can guide the development of future updates and features. However, accurately identifying sentiments in software engineering datasets remains challenging.This study investigates bigger large language models (bLLMs) in addressing the labeled data shortage that hampers fine-tuned smaller large language models (sLLMs) in software …
Understanding Individual Agent Importance In Multi-Agent System Via Counterfactual Reasoning, Jianming Chen, Yawen Wang, Junjie Wang, Xiaofei Xie, Jun Hu, Qing Wang, Fanjiang Xu
Understanding Individual Agent Importance In Multi-Agent System Via Counterfactual Reasoning, Jianming Chen, Yawen Wang, Junjie Wang, Xiaofei Xie, Jun Hu, Qing Wang, Fanjiang Xu
Research Collection School Of Computing and Information Systems
Explaining multi-agent systems (MAS) is urgent as these systems become increasingly prevalent in various applications. Previous work has provided explanations for the actions or states of agents, yet falls short in understanding the black-boxed agent's importance within a MAS and the overall team strategy. To bridge this gap, we propose EMAI, a novel agent-level explanation approach that evaluates the individual agent's importance. Inspired by counterfactual reasoning, a larger change in reward caused by the randomized action of agent indicates its higher importance. We model it as a MARL problem to capture interactions across agents. Utilizing counterfactual reasoning, EMAI learns the …
How To Securely Delegate And Revoke Partial Authorization Credentials, Meng Sun, Junzuo Lai, Wei Wu, Ye Yang, Cheng-Kang Chu, Robert H. Deng
How To Securely Delegate And Revoke Partial Authorization Credentials, Meng Sun, Junzuo Lai, Wei Wu, Ye Yang, Cheng-Kang Chu, Robert H. Deng
Research Collection School Of Computing and Information Systems
An attribute-based credential (ABC) system allows a user, obtaining a credential on a set of attributes from an issuer, to anonymously prove a subset of attributes to a service provider. Nowadays, delegation is an important requirement of ABC, which allows a user to delegate his credentials to other users. However, traditional delegatable ABC systems only support delegating a credential with all attributes. In many scenarios, an appropriate delegation is a user can delegate his credential on parts of attributes to others. Another requirement is revocation of credentials in case of unexpected events. In this article, we propose a delegatable and …
Dualopt: A Dual Divide-And-Optimize Algorithm For The Large-Scale Traveling Salesman Problem, Shipei Zhou, Yuandong Ding, Chi Zhang, Zhiguang Cao, Yan Jin
Dualopt: A Dual Divide-And-Optimize Algorithm For The Large-Scale Traveling Salesman Problem, Shipei Zhou, Yuandong Ding, Chi Zhang, Zhiguang Cao, Yan Jin
Research Collection School Of Computing and Information Systems
This paper proposes a dual divide-and-optimize algorithm (DualOpt) for solving the large-scale traveling salesman problem (TSP). DualOpt combines two complementary strategies to improve both solution quality and computational efficiency. The first strategy is a grid-based divide-and-conquer procedure that partitions the TSP into smaller subproblems, solving them in parallel and iteratively refining the solution by merging nodes and partial routes. The process continues until only one grid remains, yielding a high-quality initial solution. The second strategy involves a path-based divide-and-optimize procedure that further optimizes the solution by dividing it into sub-paths, optimizing each using a neural solver, and merging them back …
Leveraging Constraint Violation Signals For Action Constrained Reinforcement Learning, Janaka Chathuranga Brahmanage, Jiajing Ling, Akshat Kumar
Leveraging Constraint Violation Signals For Action Constrained Reinforcement Learning, Janaka Chathuranga Brahmanage, Jiajing Ling, Akshat Kumar
Research Collection School Of Computing and Information Systems
In many RL applications, ensuring an agent’s actions adhere to constraints is crucial for safety. Most previous methods in Action-Constrained Reinforcement Learning (ACRL) employ a projection layer after the policy network to correct the action. However projection-based methods suffer from issues like the zero gradient problem and higher runtime due to the usage of optimization solvers. Recently methods were proposed to train generative models to learn a differentiable mapping between latent variables and feasible actions to address this issue. However, generative models require training using samples from the constrained action space, which itself is challenging. To address such limitations, first, …
Simulation-Free Hierarchical Latent Policy Planning For Proactive Dialogues, Tao He, Lizi Liao, Yixin Cao, Yuanxing Liu, Yiheng Sun, Zerui Chen, Ming Liu, Bing Qin
Simulation-Free Hierarchical Latent Policy Planning For Proactive Dialogues, Tao He, Lizi Liao, Yixin Cao, Yuanxing Liu, Yiheng Sun, Zerui Chen, Ming Liu, Bing Qin
Research Collection School Of Computing and Information Systems
Recent advancements in proactive dialogues have garnered significant attention, particularly for more complex objectives (e.g. emotion support and persuasion). Unlike traditional task-oriented dialogues, proactive dialogues demand advanced policy planning and adaptability, requiring rich scenarios and comprehensive policy repositories to develop such systems. However, existing approaches tend to rely on Large Language Models (LLMs) for user simulation and online learning, leading to biases that diverge from realistic scenarios and result in suboptimal efficiency. Moreover, these methods depend on manually defined, context-independent, coarse-grained policies, which not only incur high expert costs but also raise concerns regarding their completeness. In our work, we …
Unlocking The Potential Of Black-Box Pre-Trained Gnns For Graph Few-Shot Learning, Qiannan Zhang, Shichao Pei, Yuan Fang, Xiangliang Zhang
Unlocking The Potential Of Black-Box Pre-Trained Gnns For Graph Few-Shot Learning, Qiannan Zhang, Shichao Pei, Yuan Fang, Xiangliang Zhang
Research Collection School Of Computing and Information Systems
Few-shot learning has emerged as an important problem on graphs to combat label scarcity, which can be approached by current trends in pre-trained graph neural networks (GNNs) and meta-learning. Recent efforts integrate both paradigms in a white-box setting, leaving the more realistic black-box setting largely underexplored, where the parameters and gradients in the pre-trained GNNs are inaccessible. In this paper, we study the critical problem: Leveraging black-box pre-trained GNNs for graph few-shot learning. Despite its appeal, two key issues hinder the unlocking of its potential: the inherent task gap between pre-training and downstream stages, which can introduce irrelevant knowledge and …
Enhancing Item‑Level Bundle Representation For Bundle Recommendation, Xiaoyu Du, Kun Qian, Yunshan Ma, Xinguang Xiang
Enhancing Item‑Level Bundle Representation For Bundle Recommendation, Xiaoyu Du, Kun Qian, Yunshan Ma, Xinguang Xiang
Research Collection School Of Computing and Information Systems
Bundle recommendation approaches offer users a set of related items on a particular topic. The current state-of-the-art (SOTA) method utilizes contrastive learning to learn representations at both the bundle and item levels. However, due to the inherent difference between the bundle-level and item-level preferences, the item-level representations may not receive sufficient information from the bundle affiliations to make accurate predictions. In this article, we propose a novel approach, Enhanced Bundle Recommendation (EBRec), which incorporates two enhanced modules to explore inherent item-level bundle representations. First, we propose to incorporate the bundle-user-item (B-U-I) high-order correlations to explore more collaborative information, thus to …
Understanding The Oss Communities Of Deep Learning Frameworks: A Comparative Case Study Of Pytorch And Tensorflow, Yunqi Chen, Zhiyuan Wan, Yifei Zhuang, Ning Liu, David Lo, Xiaohu Yang
Understanding The Oss Communities Of Deep Learning Frameworks: A Comparative Case Study Of Pytorch And Tensorflow, Yunqi Chen, Zhiyuan Wan, Yifei Zhuang, Ning Liu, David Lo, Xiaohu Yang
Research Collection School Of Computing and Information Systems
Over the past two decades, deep learning has received tremendous success in developing software systems across various domains. Deep learning frameworks have been proposed to facilitate the development of such software systems, among which, PyTorch and TensorFlow stand out as notable examples. Considerable attention focuses on exploring software engineering practices and addressing diverse technical aspects in developing and deploying deep learning frameworks and software systems. Despite these efforts, little is known about the open source software communities involved in the development of deep learning frameworks. In this article, we perform a comparative investigation into the open source software communities of …
Individual Liberty, Safety And Police Liabilities Under The Mental Health (Care And Treatment) Act, Gary Kok Yew Chan
Individual Liberty, Safety And Police Liabilities Under The Mental Health (Care And Treatment) Act, Gary Kok Yew Chan
Research Collection Yong Pung How School Of Law
How should a society strike a balance between the objective of ensuring safety from dangers that may be posed by individuals believed to have a mental disorder and the deprivation of their liberty? How should police officers discharge their duties in apprehending such individuals with a view to conveying them to a medical practitioner at a psychiatric institution? These legal issues took centrestage in the Singapore High Court decision of Mah Kiat Seng v Attorney-General in which the apprehended individual brought claims in false imprisonment against a police officer. The decision examined the underlying purposes of the Singapore Mental Health …
A Call For Clarity In Contractual Accessions To Shareholder And Partnership Agreements, Kwan Ho Lau
A Call For Clarity In Contractual Accessions To Shareholder And Partnership Agreements, Kwan Ho Lau
Research Collection Yong Pung How School Of Law
This paper explores understudied issues surrounding accessions to shareholder and partnership agreements: the process by which such accessions take effect; the survival of equities following an accession; and the enforcement of a condition for incoming shareholders to have to execute and deliver a deed of accession. Accessions happen extremely often in modern commercial life, which renders surprising the dearth of academic and judicial discussion, but more disconcerting is the unsettledness of some of the complex issues implicated. The repurposing of unilateral contracts to explain how deeds of accession operate is not fully tested in English law; the conception of partial …
Anti-Suit Injunctions And Dispute Resolution Clauses, Adeline Chong
Anti-Suit Injunctions And Dispute Resolution Clauses, Adeline Chong
Research Collection Yong Pung How School Of Law
In two decisions decided within a fortnight of each other, the Singapore Court of Appeal considered anti-suit injunctions pursued to restrain proceedings allegedly brought in breach of arbitration agreements. The first case, Asiana Airlines, Inc v Gate Gourmet Korea Co, Ltd (‘Asiana Airlines’)[1] dealt with whether A could rely on an arbitration agreement between A and B to restrain B’s proceedings against C, a third party. The second case, COSCO Shipping Specialized Carriers Co, Ltd v PT OKI Pulp & Paper Mills (‘COSCO Shipping’)[2] considered whether an arbitration agreement covered a tortious claim. To put it in another way, Asiana …
Law, Politics, And The Academy In Asia: Navigating Constraints As Public Law Scholars, De Maartje Visser, Qian Liu, Victor V. Ramraj
Law, Politics, And The Academy In Asia: Navigating Constraints As Public Law Scholars, De Maartje Visser, Qian Liu, Victor V. Ramraj
Research Collection Yong Pung How School Of Law
How do academics interested in the study of legal topics that implicate the state relate to and deal with pressures that shape the space available to conduct research? This article examines the nature and impact of such pressures on Asia-focused public law scholars who must contend with a more diverse socio-political environment than the liberal democratic setting in which questions of academic freedom are typically explored. We find that the Asia-centric academy is affected by a wide range of constraints that notably extends beyond intra-institutional demands to those put in place by the state. This article also highlights how the …
Reasons And Reasoning In Arbitral Awards, Eugene Thong, Yunwen Yvonne Guo
Reasons And Reasoning In Arbitral Awards, Eugene Thong, Yunwen Yvonne Guo
Research Collection Yong Pung How School Of Law
While the need for international arbitral awards to be supported by reasons appears self-evident, a closer analysis of relevant treaty and statutory provisions as well as tribunal practice reveals a surprising lack of consensus as to the extent to which arbitral awards should be reasoned. Through an analysis of the factors for and against reasoned awards and the reasons for the evolution towards reasoned awards in international arbitration, this article considers the practical implications of dispensing with such reasons and analyses what standard of reasoning is generally recommended in arbitral awards. It concludes with several broad principles on the recommended …
Every Voice Has Its Bright And Dark Sides: Understanding Observers’ Reactions To Coworkers’ Voice Behaviors, Szu-Han Lin, Shereen Fatimah, Emily C. Poulton, Cony M. Ho, D. Lance Ferris, Russell E. Johnson
Every Voice Has Its Bright And Dark Sides: Understanding Observers’ Reactions To Coworkers’ Voice Behaviors, Szu-Han Lin, Shereen Fatimah, Emily C. Poulton, Cony M. Ho, D. Lance Ferris, Russell E. Johnson
Research Collection Lee Kong Chian School Of Business
The majority of research on voice has focused on how employee voice influences voicers and targets of voice (e.g. supervisors and organizations). We advance theory on voice by examining how third-party observers react to expressions of voice behavior by coworkers. Drawing from affective events theory (AET), we examine the potential benefits and detriments of coworker voice behaviours. Results from an experience sampling study and an experiment revealed that coworker voice was associated with an increase in third-party observers' inspiration, prompting third-party observers to engage in their own voice behaviours. Although coworker voice did not have a significant main effect on …
Well-Being Of Formal Leaders: A Critical And Interdisciplinary Review Of Predictors Shaping Leader Well-Being, Burak Oc, Kraivin Paripont Chintakananda
Well-Being Of Formal Leaders: A Critical And Interdisciplinary Review Of Predictors Shaping Leader Well-Being, Burak Oc, Kraivin Paripont Chintakananda
Research Collection Lee Kong Chian School Of Business
Holding a formal leadership role is often idealized, motivating individuals to pursue such positions for independence and success. However, recent reports highlight significant challenges faced by leaders, particularly during as well as after the COVID-19 pandemic, including increased work demands and reduced well-being. This review takes a critical stance and examines whether formal leaders bear a well-being cost. Using Bronfenbrenner’s (1979) ecological systems framework, we categorize predictors of leader well-being, discuss dominant theoretical frameworks explaining the most frequently studied relationships, and identify theoretical gaps in the existing literature. Following this, we identify internal validity issues affecting the interpretation of existing …
Disaster Relief, Inc.: When Is Corporate Philanthropy Good Or Bad For Shareholders?, Hao Liang, Cara Vansteenkiste
Disaster Relief, Inc.: When Is Corporate Philanthropy Good Or Bad For Shareholders?, Hao Liang, Cara Vansteenkiste
Research Collection Lee Kong Chian School Of Business
A long-standing question in finance is why companies donate to charity, often attributing it to either managerial agency problems or strategic behavior. Based on a global sample of donation announcements by firms providing relief to disaster-affected communities, we test the relative importance of these two motives and the conditions under which each dominates. We exploit disaster-specific factors in an event study setting around corporate donation announcement dates to show that, on average, relief donations decrease returns. However, the strategic benefits of donating around salient events can mitigate these negative effects. To account for firms’ donation decisions, we rely on exogenous …
Beyond A Chapter: Libraries As Key Characters In Smu’S Sustainability Saga, Shameem Nilofar Maideen
Beyond A Chapter: Libraries As Key Characters In Smu’S Sustainability Saga, Shameem Nilofar Maideen
Research Collection Library
No abstract provided.
Consumption Responses To Income Shocks Through Lottery Winning, Seonghoon Kim, Kanghyock Koh
Consumption Responses To Income Shocks Through Lottery Winning, Seonghoon Kim, Kanghyock Koh
Research Collection School Of Economics
We study the effects of lottery winning on consumption spending using newly available household survey data in Singapore. We find strong consumption responses to a transitory income shock via lottery wins. Lottery winners spend about half of their prizes within 12 months of winning. We show that consumption responses are stronger among households with more binding liquidity constraints and less risk aversion, which is consistent with the standard life-cycle model. The strong consumption response suggests that fiscal stimulus policies or other public transfer programs could be an effective means of boosting consumption spending of the economy in the short run.
It's Just A Game! Effects Of Fantasy In A Storified Test On Applicant Reactions, Marie L. Ohlms, Klaus G. Melchers, Filip Lievens
It's Just A Game! Effects Of Fantasy In A Storified Test On Applicant Reactions, Marie L. Ohlms, Klaus G. Melchers, Filip Lievens
Research Collection Lee Kong Chian School Of Business
There is increasing attention to storification of assessments (i.e., embedding a storyline into a non-storified assessment) in research and practice and to gamified and game-based assessment in general. However, there is a surprising lack of agreement and of recommendations regarding what level of fantasy of the storyline one should choose for the storification from the perspective of applicant reactions. A distinction is typically made between fantasy (e.g., fighting aliens) and realistic (e.g., workday simulations) storylines, with both choices having their advantages and disadvantages. In this study, a sample of 195 participants was shown either a storified realistic test, a storified …
A Head-To-Head Comparison Of Situational Judgment Tests And Assessment Centers For Measuring And Predicting The Same Performance Dimensions, Iman Shakeri, Filip Lievens
A Head-To-Head Comparison Of Situational Judgment Tests And Assessment Centers For Measuring And Predicting The Same Performance Dimensions, Iman Shakeri, Filip Lievens
Research Collection Lee Kong Chian School Of Business
To date, a limited set of studies have compared the criterion-related validity of low-fidelity (SJT) versus high-fidelity (AC) simulations for predicting job performance. Unfortunately, these studies validated these simulations through the overall assessment rating (OAR) instead of on the basis of specific dimensions. Given SJTs and ACs were compared that measured different dimensions, our understanding of the relative and comparative validity of these assessment approaches in measuring the same set of dimensions is still limited. Therefore, this study aims to conduct a head-to-head comparison of the criterion-related validity of the AC and the SJT (and their incremental validity) while keeping …
When Leaders Self-Sacrifice In Times Of Crisis: The Roles Of Employee Emotional Suppression And Leader Coping Strategies, Xingyu Wang, Xueqi Wen, Zihan Liu, Yixing Lisa Gao, Juan M. Madera
When Leaders Self-Sacrifice In Times Of Crisis: The Roles Of Employee Emotional Suppression And Leader Coping Strategies, Xingyu Wang, Xueqi Wen, Zihan Liu, Yixing Lisa Gao, Juan M. Madera
Research Collection Lee Kong Chian School Of Business
While literature articulates the relevance of self-sacrificial leadership to crisis situations, little attention has been paid to employees’ attitudinal and behavioral responses to self-sacrificial leadership. This is a particularly salient gap in the scholarship, given the decisions leaders must make to address challenges in the hospitality industry (e.g., the COVID-19 pandemic). Drawing on conservation of resources theory, this pair of field and experimental studies examines how individual differences in employee emotional suppression and leader coping strategy moderate the impacts of self-sacrificial leadership on employee perceptions of leader effectiveness. By sampling U.S. hospitality employees, the studies reveal that leaders who display …
Geographic Distance And State's Grip: Information Asymmetry, State Inattention, And Firm Implementation Of State Policy, Xiyi Yang, Heli Wang, Xiaoyu Zhou
Geographic Distance And State's Grip: Information Asymmetry, State Inattention, And Firm Implementation Of State Policy, Xiyi Yang, Heli Wang, Xiaoyu Zhou
Research Collection Lee Kong Chian School Of Business
In this study, we develop the argument that geographic distance between the state and local governments undermines the state's capacity to influence the implementation of state policies by local organizations. Drawing from information economics and the attention-based view, we propose that physical distance reduces the state's monitoring effectiveness through two interrelated mechanisms: information asymmetry and state leaders' inattention to distant issues. Using data of Chinese public firms' implementation of environmental activities between 2008 and 2016, we find that firms conduct fewer environmental activities required by the state when they are regulated by local governments that are more geographically distant to …
Island Platforms And The Hyper-Terrestrialisation Of Singapore's Smart City-State, Orlando Woods, Tim Bunnell, Lily Kong
Island Platforms And The Hyper-Terrestrialisation Of Singapore's Smart City-State, Orlando Woods, Tim Bunnell, Lily Kong
Research Collection College of Integrative Studies
This paper foregrounds the importance of underlying territorial formations in realising a vision of the smart city. It argues that as a political technology of the state, territory should be understood as a platform upon which data works and the smart city unfolds. In this view, island territories – of which bordered city-states like Singapore provide paradigmatic examples – provide an integral, yet hitherto unexplored, component in the realisation of urban “smartness”. We illustrate these theoretical arguments through an analysis of how the territorial constraints that characterise Singapore’s island platform enable the state to accurately and effectively realise its vision …
Producer-Oriented And Consumer-Oriented Alternative Food Networks And Rural Revitalization In China: Distinct Trajectories And Variegated Impacts, Meiling Wu, Qian Forrest Zhang
Producer-Oriented And Consumer-Oriented Alternative Food Networks And Rural Revitalization In China: Distinct Trajectories And Variegated Impacts, Meiling Wu, Qian Forrest Zhang
Research Collection School of Social Sciences
Alternative food networks (AFNs) have been increasingly perceived as an engine for rural revitalization, yet AFNs can differ in their founding motivations, operational methods, and organizational forms, which thus produce varying economic, social, and environmental outcomes. Despite this, the complexity of AFNs in the role of rural revitalization remains surprisingly under-researched. This study, drawing a distinction between producer-oriented and consumer-oriented AFNs in China, explores the dynamics of how producer-oriented and consumer-oriented AFNs are formed and give rise to distinct trajectories of rural revitalization. When AFNs prioritize producers' pursuit of alternatives to conventional agrifood systems over merely catering to urban consumers’ …