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![]() Pflücke, Felix ![]() in Goanta, Catalina (Ed.) Social Media Contracts – The Quest for Fairness and the Need for Reform (2023) The growth of social media has led to an unprecedented rise in financial influencers, so- called finfluencers, who share investment ideas and opinions with a global audience. Finfluencers have various ... [more ▼] The growth of social media has led to an unprecedented rise in financial influencers, so- called finfluencers, who share investment ideas and opinions with a global audience. Finfluencers have various business models, from endorsing products to advertising their mutual funds. Retail investors are particularly vulnerable to the risks posed by financial influencers because most lack financial literacy, according to a UK Financial Conduct Authority study from 2021. Additionally, the power dynamic inherent in the influencer- follower relationship can also increase consumers’ susceptibility, particularly through one- sided parasocial relationships. Parasocial relationships are one-sided relationships where one person extends emotional energy and interest towards the financial influencer, who may be completely unaware of the follower’s existence. Such relationships can lead to a higher level of trust, credibility, and reliance on the advice and recommendations of financial influencers, even if they are not qualified or licensed to provide financial advice. This can be particularly dangerous for retail investors with low levels of financial literacy, who may be more vulnerable to the risks posed by finfluencers. Thus, the current regulatory framework may not be adequate to protect consumers from the potential harms of financial influencers. This Article starts by briefly examining the current regulatory framework for financial influencers (based on Pflücke 2020 and 2022), including how the EU and five platforms govern it. It then proceeds by critically analysing and proposing targeted and actionable policy considerations to increase fairness and transparency on social media platforms. The Article argues that the current approach is neither evidence-based nor tailored to the activities and potential harms of financial influencers, requiring radical reforms to protect consumers and capital markets. [less ▲] Detailed reference viewed: 32 (0 UL)![]() Aade, Laura ![]() Diverse speeches and writings (2023) Detailed reference viewed: 20 (0 UL)![]() Drouet, Luce ![]() ![]() in EMPATHICH '23: Proceedings of the 2nd Empathy-Centric Design Workshop (2023, May) Empathic design provides tools and frameworks supporting designers to understand users’ experiences with products or services. However, how does one hand over this empathic understanding of users to other ... [more ▼] Empathic design provides tools and frameworks supporting designers to understand users’ experiences with products or services. However, how does one hand over this empathic understanding of users to other internal stakeholders shaping the service experience? In this contribution, we reflect on a three-year implementation of an empathy-centric design approach in an industrial context with a low user experience maturity from three different professional viewpoints: ours as UX researchers, the one of a company manager, and an expert researcher on empathy in design. These narrative introspective accounts unveil some of the main benefits, opportunities, and challenges of implementing an empathy-centric design approach in the industry. We discuss and confront them to prior work. We contribute to the field of empathic design with rich in-situ research insights and principles for a successful empathic approach. [less ▲] Detailed reference viewed: 21 (0 UL)![]() Bloch, Natalie ![]() in Theater heute (2023), 5(64), 76-76 Detailed reference viewed: 26 (0 UL)![]() Shafiei, Parisa ![]() ![]() Poster (2023, April 28) CubeSats constellations using commercial off-the-shelf components have been studied for different applications, such as GNSS Radio Occultation (GNSS-RO). Furthermore, precise orbit determination of Low ... [more ▼] CubeSats constellations using commercial off-the-shelf components have been studied for different applications, such as GNSS Radio Occultation (GNSS-RO). Furthermore, precise orbit determination of Low Earth Orbit (LEO) CubeSats based on multiple GNSS constellations would open new opportunities for scientific applications such as Earth’s gravity field measurements. In GNSS kinematic orbit determination, which is the common method used for small sats, the derived orbits are affected by noise, data gaps, outliers, measurement errors as well as poor geometry of the observations. Our work seeks to mitigate these issues and we present two areas of research: 1) GNSS network processing of GPS and Galileo constellations and 2) kinematic orbit determination of a set of Spire CubeSats that host a GNSS-RO payload. An initial architecture of kinematic orbit processing for the Spire GNSS-RO CubeSats constellation is obtained and the details on validations and limitations are discussed in more details. In addition, we showcase the agreement between the GNSS orbit products produced at the University of Luxembourg (UL) with those of the Center for Orbit Determination in Europe (CODE). Finally, the Spire kinematic orbits based on the raw observation approach are derived and compared to the L1B Spire orbit products. [less ▲] Detailed reference viewed: 50 (3 UL)![]() Ünsal, Alper ![]() Doctoral thesis (2023) The overarching theme of this PhD thesis is human mobility and its externalities, particularly in the context of labour and health economics. Through rigorous modelling and analysis, the three chapters of ... [more ▼] The overarching theme of this PhD thesis is human mobility and its externalities, particularly in the context of labour and health economics. Through rigorous modelling and analysis, the three chapters of the thesis demonstrate the potential benefits of policies that regulate human mobility. In the first chapter of my PhD, I examine how language training can improve the functioning of the labour market, with a particular focus on immigrants with high skills who face language barriers. I argue that fully funding the cost of language acquisition for migrants can bring significant benefits to the economy and migrants, but may marginally worsen the labour market performance of low-skilled natives. Using a search and matching framework with two-dimensional skill heterogeneity, I model the effects of a language acquisition subsidy on migrants' labour market integration and its impact on natives' labour market performance. My study finds that subsidizing language acquisition costs may increase the GDP of the German economy by approximately ten billion dollars by decreasing the aggregate unemployment rate and skill mismatch rate and increasing the share of job vacancies requiring high generic skills. The second chapter of my PhD explores the challenges involved in devising social contact limitation policies as a means of controlling infectious disease transmission. Using an economic-epidemiological model of COVID-19 transmission, I evaluate the effectiveness of different intervention strategies and their consequences on public health, social welfare and economic outcomes. The findings emphasize the importance of responsiveness in implementing social contact limitations, rather than solely focusing on their stringency, and suggest that early interventions lead to the lowest losses in economy and mental well-being for a given number of life losses. The study has broader implications for managing the societal impact of infectious diseases and highlights the need to continue refining our understanding of these trade-offs and developing adaptable models and policy tools to safeguard public health while minimizing social and economic consequences. Overall, the study offers a robust and versatile framework for understanding and navigating the challenges posed by public health crises and pandemics. The third chapter of my PhD builds on the economic-epidemiological model developed in Chapter 2 to analyze the multifaceted effects of vaccine hesitancy in controlling the spread of infectious diseases, with a particular focus on the COVID-19 pandemic in Belgium. The study utilizes actual vaccination rates by age group until June 2021 and simulates the following months by incorporating realistic properties such as temporary immunity, age-specific vaccination hesitancy rates, daily vaccination capacity, and vaccine efficacy rate. The baseline scenario with an overall 27.1$\%$ vaccine hesitancy rate indicates that current vaccination rates in Belgium are sufficient to control the spread of COVID-19 without imposing social contact limitations. However, hypothetical scenarios with higher disease transmission rates demonstrate the high costs of vaccine hesitancy, resulting in significant losses in labour supply, mental well-being, and life losses. Throughout this thesis, I have described the costs and benefits induced by mobility, and shown that mobility policies make winners and losers. In Chapter 1, subsidizing the cost of language acquisition for migrants can bring significant benefits to the economy and migrants, but may marginally worsen the labour market performance of low-skilled natives. In Chapter 2, stringent policies alleviate health losses, but they impact economic activity and mental health. In Chapter 3, the health externalities generated by human interactions impose a potential tradeoff between values, namely the freedom to move and the freedom to choose to get vaccinated. In each of these chapters, I quantify these tradeoffs. Another important insight from this thesis is the need to incorporate behavioural aspects into macro models evaluating the consequences of policies related to human mobility. In the thesis, these aspects include individual investments in language training, decision-making on infection avoidance, social contacts, labour supply, and vaccination decisions. can lead to more effective policies that balance the interests of various stakeholders. Overall, this thesis contributes to the literature on human mobility by highlighting the potential benefits and challenges associated with it, and the need for nuanced and responsive policymaking that takes into account behavioural aspects and externalities. The insights gained from this thesis can be relevant for future research in economics on topics related to human mobility, public health, and labour market integration. [less ▲] Detailed reference viewed: 51 (2 UL)![]() Valieva, Farida ![]() Doctoral thesis (2023) This dissertation starts with an overview of the recent and ongoing efforts to achieve greater convergence in national banking supervision within the European Single Supervisory Mechanism (SSM). However ... [more ▼] This dissertation starts with an overview of the recent and ongoing efforts to achieve greater convergence in national banking supervision within the European Single Supervisory Mechanism (SSM). However, the persistence of distinct national preferences on banking supervision has resulted in ongoing differences in the practice of banking supervision at the national level. More specifically, the supervision of Less Significant Institutions (LSIs) has remained under the direct control of national supervisors and to, a certain extent, under national law, thus allowing significant ongoing margin of manoeuvre on supervision. This dissertation examines the consequences of this margin for manoeuvre left to national supervisors, despite strong convergence pressures through post-financial crisis EU institutional developments. The analysis focus upon the national supervision of LSIs. The main research question guiding this work is, therefore: under what conditions do pre-existing national institutional configurations continue to determine the trajectory of national supervisory practice in the context of European-level convergence pressures (through the European Banking Authority and the SSM)? To answer this question, I use a four-part analytical framework based on, first, Europeanisation which provides insight into top-down processes of integration, second, Historical Institutionalism which provides an understanding of path dependency from earlier policy decisions shaping national supervisory institutions and practice, third, the Epistemic Communities approach and fourth Transnational Policy Network framework. Based on this combined analytical framework, I formulate the following hypothesis: the more discretion exercised by the national supervisor in relation to its government, the more likely the adoption of policies and practices that result in greater convergence with the rules and practices developed at the EU / Banking Union level. To test this hypothesis, I start with a broad assessment of the provisions that provide margin of manoeuvre to national authorities, specifically the options and national discretions (ONDs) explicitly granted to national authorities — member state governments or supervisors — in EU capital requirements legislation: the CRD IV/V and CRR I/II. This assessment provides an initial confirmation of my hypothesis, showing a more important degree of convergence in the cases where national supervisors benefit from full discretion with no intervention from national governments. I then test the hypothesis on a typical case where NCAs can exercise discretion — the Supervisory Review and Evaluation Process (SREP) — and a typical case with national government intervention that limits supervisory discretion — Non Performing Loans (NPLs). Through an analysis of the French and German national cases with regard to SREP and NPLs, I conclude that the convergence of prudential supervision within the SSM was largely observed in cases where the national supervisor benefitted from discretion as a result of cooperation opportunities and socialisation processes. [less ▲] Detailed reference viewed: 56 (3 UL)![]() Bayram, Alper ![]() Doctoral thesis (2023) Detailed reference viewed: 28 (3 UL)![]() Biewers, Sandra ![]() ![]() ![]() Presentation (2023, April 20) Detailed reference viewed: 22 (1 UL)![]() Wolff, Christian ![]() Presentation (2023, April 19) Detailed reference viewed: 18 (0 UL)![]() Settels, Jason ![]() Scientific Conference (2023, April 14) COVID-19 era lockdown measures resulted in many workers performing their employment tasks remotely. While identifying individual-level predictors of COVID-19 era remote work, scholarship has neglected ... [more ▼] COVID-19 era lockdown measures resulted in many workers performing their employment tasks remotely. While identifying individual-level predictors of COVID-19 era remote work, scholarship has neglected heterogeneity based on contextual characteristics. Using the first COVID-19 module (2020) of the Survey of Health, Ageing and Retirement in Europe (N = 8,121) and multinomial logistic regression analyses, this study examined how country-level digitalization, stringency of government COVID-19 containment measures, and COVID-19 era excess mortality moderated how individual-level age, health, education, and income affected working partly or fully remotely among older Europeans (50-89 years) continuing to work through the pandemic. The central findings are that higher societal digitalization reduced the positive association between education and fully remote work, and greater country-level excess mortality accentuated how more education and poorer health increased the probability of fully remote work. These findings are interpreted through the fundamental cause theory of health and the health belief model. They further lead to recommendations that during future epidemics, policies and programs should address the remote working capabilities of older persons with fewer years of education, with fewer skills with modern digital technologies, and in worse health, especially within nations that are less digitally developed and harder hit by the epidemic in question. [less ▲] Detailed reference viewed: 16 (0 UL)![]() Francis, Olivier ![]() in Sideris, Michael G. (Ed.) Encyclopedia of Geodesy (2023) Detailed reference viewed: 66 (0 UL)![]() Hoehn, Sviatlana ![]() Scientific Conference (2023, April) Detailed reference viewed: 20 (0 UL)![]() Pflücke, Felix ![]() in Oxford BLB (2023) Financial influencers and content creators, commonly referred to as ‘Finfluencers’, increasingly provide unpaid or paid finance content on social media. This non-expert financial advice can potentially ... [more ▼] Financial influencers and content creators, commonly referred to as ‘Finfluencers’, increasingly provide unpaid or paid finance content on social media. This non-expert financial advice can potentially cause significant financial and non-financial harm, especially for financially illiterate consumers. A Financial Conduct Authority study revealed low financial literacy levels among retail investors. For example, 38 per cent of surveyed investors could not list a single reason for investing in their top three investments, with most investors relying on rules of thumb and gut instinct. The shocking findings of the FCA study partly inspired my article Regulating Finfluencers. My paper investigates the practices and business models of Finfluencers and how EU law, three national jurisdictions (the UK, Luxembourg, and Germany), and five social media platforms govern their activities. The primary aim is to comprehend the activities and regulation of Finfluencers and to critically examine whether the current framework adequately protects consumers. [less ▲] Detailed reference viewed: 16 (0 UL)![]() Schafer, Valerie ![]() in Technology and Culture (2023), 64(2), 611-613 Book review of bstractions and Embodiments: New Histories of Computing and Society ed. by Janet Abbate and Stephanie Dick Detailed reference viewed: 45 (0 UL)![]() Sommarribas, Adolfo ![]() Report (2023) This 2023 EMN inform is the latest in the series of EMN Platform on Statelessness informs, with two others previously published in 2016 and 2020. It is updated with contributions from the participating ... [more ▼] This 2023 EMN inform is the latest in the series of EMN Platform on Statelessness informs, with two others previously published in 2016 and 2020. It is updated with contributions from the participating EMN Member Countries and EMN Observer Countries (Norway and Georgia). Information related to the United Kingdom (UK) has been removed, as the UK is no longer an EMN Member Country, but UK information remains in the earlier informs. [less ▲] Detailed reference viewed: 45 (0 UL)![]() ; ; Mahmood, Asad ![]() in Advanced Engineering Informatics (2023), 56 Artificial Intelligence (AI) is defining the future of next-generation infrastructures as proactive and data-driven systems. AI-empowered radio systems are replacing the existing command and control radio ... [more ▼] Artificial Intelligence (AI) is defining the future of next-generation infrastructures as proactive and data-driven systems. AI-empowered radio systems are replacing the existing command and control radio networks due to their intelligence and capabilities to adapt to the radio environmental infrastructures that include intelligent networks, smart cities and AV/VR enabled factory premises or localities. An efficient resource prediction framework (ERPF) is proposed to provide proactive knowledge about the availability of radio resources in such software-defined heterogeneous radio environmental infrastructures (SD-HREIs). That prior information enables the coexistence of radio users in SD-HREIs. In a proposed framework, the radio activity is measured in both the unlicensed bands that include 2.4 and 5 GHz, respectively. The clustering algorithms k- means and DBSCAN are implemented to segregate the already measured radioactivity as signal (radio occupancy) and noise (radio opportunity). Machine learning techniques CNN and LRN are then trained and tested using the segregated data to predict the radio occupancy and radio opportunity in SD-HREIs. Finally, the performance of CNN and LRN is validated using the cross-validation metrics. [less ▲] ![]() Duflo, Gabriel Valentin ![]() Doctoral thesis (2023) The paradigm of learning to optimise relies on the following principle: instead of designing an algorithm to solve a problem, we design an algorithm which will automate the design of such a solver. The ... [more ▼] The paradigm of learning to optimise relies on the following principle: instead of designing an algorithm to solve a problem, we design an algorithm which will automate the design of such a solver. The initial idea was to alleviate the limitations stated by the No Free Lunch Theorem by producing an algorithm which efficiency is less dependent upon known instances of the problem to tackle. Hyper-heuristics constitute the main learning-to-optimise techniques. These rely on a high-level algorithm performing a search process into a space of low-level heuristics to tackle a given problem. Because the latter search space is problem-dependent, the vast majority of hyper-heuristics are designed to tackle a specific problem. Due to this lack of generality, existing works fully redesign hyper-heuristics when tackling a new problem, despite the fact that they may share a similar structure. In this dissertation, we tackle this challenge by proposing a generic way for learning to optimise any problem. To this end, this thesis introduces three main contributions: (i) an analysis of the formal functioning of learning-to-optimise techniques; (ii) a model of generic hyper-heuristic, named Algorithm Learner for Graph Optimisation problems (ALGO), constituting the central point of this work; (iii) a real-world use case where we use our generic hyper-heuristic to automate the design of behaviours within a swarm of drones. In the first part, we provide a formalism for optimisation and learning concepts, which we use to describe the large body of knowledge that combines two layers of optimisation and/or learning. We then put an emphasis on approaches using learning to improve an optimisation process, i.e., aiming at learning to optimise. In the second part, we present ALGO, our model of generic hyper-heuristic. We explain how we abstract from a given problem with a graph structure so that it can be used to tackle any optimisation problem. We also detail the steps to follow in order to use ALGO to tackle a given problem. We finally present the modularity of ALGO with inner components that a user can implement. The second part ends with a validation of our model, i.e., using ALGO to tackle a classical optimisation problem. In the third part, we use ALGO to tackle the problem of area surveillance with a swarm of drones. We demonstrate that ALGO constitutes a novel and efficient way to automate the design of such a distributed and multi-objective problem. [less ▲] Detailed reference viewed: 34 (8 UL)![]() Peiris, Sinthuja ![]() ![]() ![]() E-print/Working paper (2023) Heterozygous variants in the glucocerebrosidase GBA gene are an increasingly recognized risk factor for Parkinson's disease (PD). Due to the pseudogene GBAP1 that shares 96\% sequence homology with the ... [more ▼] Heterozygous variants in the glucocerebrosidase GBA gene are an increasingly recognized risk factor for Parkinson's disease (PD). Due to the pseudogene GBAP1 that shares 96\% sequence homology with the GBA coding region, accurate variant calling by array-based or short-read sequencing methods remains a major challenge in understanding the genetic landscape of GBA-related PD. We established a novel long-read sequencing technology for assessing the full length of the GBA gene. We used subsequent regression models for genotype-phenotype analyses. We sequenced 752 patients with parkinsonism and 806 healthy controls of the Luxembourg Parkinson's study. All GBA variants identified showed a 100% true positive rate by Sanger validation. We found 12% of unrelated PD patients carrying GBA variants. Three novel variants of unknown significance (VUS) were identified. Using a structure-based approach, we defined a potential risk prediction method for VUS. This study describes the full landscape of GBA-related parkinsonism in Luxembourg, showing a high prevalence of GBA variants as the major genetic risk for PD. Our approach provides an important advancement for highly accurate GBA variant calling, which is essential for providing access to emerging causative therapies for GBA carriers. [less ▲] Detailed reference viewed: 37 (0 UL)![]() Chitic, Ioana Raluca ![]() ![]() ![]() in Applied Sciences (2023), 13(6), 4068 Recently, convolutional neural networks (CNNs) have become the main drivers in many image recognition applications. However, they are vulnerable to adversarial attacks, which can lead to disastrous ... [more ▼] Recently, convolutional neural networks (CNNs) have become the main drivers in many image recognition applications. However, they are vulnerable to adversarial attacks, which can lead to disastrous consequences. This paper introduces ShuffleDetect as a new and efficient unsupervised method for the detection of adversarial images against trained convolutional neural networks. Its main feature is to split an input image into non-overlapping patches, then swap the patches according to permutations, and count the number of permutations for which the CNN classifies the unshuffled input image and the shuffled image into different categories. The image is declared adversarial if and only if the proportion of such permutations exceeds a certain threshold value. A series of 8 targeted or untargeted attacks was applied on 10 diverse and state-of-the-art ImageNet-trained CNNs, leading to 9500 relevant clean and adversarial images. We assessed the performance of ShuffleDetect intrinsically and compared it with another detector. Experiments show that ShuffleDetect is an easy-to-implement, very fast, and near memory-free detector that achieves high detection rates and low false positive rates. [less ▲] Detailed reference viewed: 31 (1 UL) |
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