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This is the institutional repository of the University of Basel. It indexes most of the research and scholarly output of the university and offers in some cases permanent open and worldwide access to the full text of the publications.

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    Publication
    Linked Open Usable Data for cultural heritage: perspectives on community practices and semantic interoperability
    (2024)
    Raemy, Julien Antoine
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    Digital technologies have fundamentally transformed the ways in which Cultural Heritage (CH) collections are accessed and engaged with. Linked Open Usable Data (LOUD) specifications, including the International Image Interoperability Framework (IIIF) Presentation API 3.0, Linked Art, and the Web Annotation Data Model (WADM), have emerged as web standards to facilitate the description and dissemination of these valuable resources. Despite the widespread adoption of IIIF, the implementation of LOUD specifications, especially in combination, remains challenging. This is particularly true in the development and assessment of infrastructures, or sites of assemblage, that support these standards. The research is guided by two perspectives, namely community practices and semantic interoperability. The former aims to assess how organisations, individuals, and apparatuses engage with and contribute to the consensus-making processes surrounding LOUD. By examining community practices, the social fabrics of the LOUD ecosystem can be better understood. The latter perspective explores how data can be made meaningful to machines in a standardised and interoperable approach that promotes the exchange of well-formed information. This work is grounded as part of the SNSF-funded research project Participatory Knowledge Practices in Analogue and Digital Image Archives (PIA) (2021-2025), which aims to develop a citizen science platform around three photographic collections from the Cultural Anthropology Switzerland (CAS) archives. The theoretical framework is firmly rooted in Actor-Network Theory (ANT), as one of the aims of the thesis is to describe the collaborative structures of the LOUD ecosystem and to highlight the importance of non-human actors. Beyond the implementation of LOUD standards within the PIA research project, the empirical research includes an analysis of the social fabrics of the IIIF and Linked Art communities, as well as an investigation of LUX, Yale Collections Discovery platform. The research aims to identify the socio-technical requirements for developing specifications consistent with LOUD design principles. It also seeks to understand how the implementation of LOUD standards within PIA contributes to recognising their potential benefits and limitations in terms of facilitating data reuse and wider participation. The thesis further examines the implementation strategies, challenges, and outcomes of Yale University’s large-scale deployment of LOUD standards, focusing on how ensuring the consistency of Linked Art and IIIF resources within the LUX platform contributes to the CH domain. The core methodology of this thesis is an actor- and practice-centred inquiry, focusing on the detailed examination of specific cosmologies within LOUD-driven communities, PIA, and LUX. This approach aims to unravel the intricate web of cultural processes and constellations through a micro-perspective, rich in empirical evidence. Key empirical findings indicate that LOUD improves the discoverability and integration of data in CH, which requires community-driven consensus on model interoperability. Significant challenges include engaging marginalised groups, sustaining long-term engagement, and balancing technological and social considerations. The strategic use of technology and the capture of digital materiality are critical, yet LOUD presents challenges in terms of resource investment, data consistency, and the wider implementation of complex patterns. LOUD should clearly lead efforts to improve the accessibility and usability of CH data. The community-driven methodology of IIIF and Linked Art inherently promotes collaboration and transparency, making these standards critical tools in the ongoing evolution of data management. Even for projects and institutions that do not adopt these specifications, LOUD's socio-technical practices provide crucial insights into effective digital stewardship and community engagement strategies.
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    Publication
    Decentralized Finance: On Blockchain and Smart Contract-based Financial Markets
    (Federal Reserve Bank of St. Louis, 2021-01-01) ; ;
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    The term Decentralized Finance or DeFi refers to an alternative financial infrastructure built on top of the Ethereum Blockchain. DeFi uses smart contracts to create protocols that replicate existing financial services in a more open, interoperable, and transparent way. In this paper, we highlight opportunities and potential risks of the ecosystem. We propose a multi-layered framework to analyze the implicit architecture and the various DeFi building blocks, including token standards, decentralized exchanges, decentralized debt markets, Blockchain derivatives, and on-chain asset management protocols. We conclude that DeFi still is a niche market with certain risks but also has interesting properties in terms of efficiency, transparency, accessibility, and composability. As such, it may potentially contribute to a more robust and transparent financial infrastructure.
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    Publication
    Of Toddlers and Donkeys. Roman Lamps with Slaves and Self-Representations of Slaves
    (Franz Steiner Verlag, 2019-01-01) ; ;
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    Throughout this contribution, I have used images on Roman discus lamps as evidence to elucidate attitudes toward slaves, the construction of stereotypical slave characters, and possible discourse among slaves. I examined the kinds of self-representations slaves might have been proud of, which images they might have liked and laughed about, and what may have made them snigger to themselves. I have shown that Roman lamps are a medium that is most relevant to the discussion of slave iconography since the relationship between the lamp and the slave is so multi-faceted, and I am fully convinced that there is still a lot to discover in these miniature images. We have seen that lamps often exhibit the slaveholder's tastes, and, not surprisingly, this is more often the case with expensive bronze lamps than their cheap clay counterparts. The images testify to mechanisms of sanitization or to the downplaying of slave realities through 'cute' depictions of faithful slave children. The images are also used to display the slaveholder's wealth through the depiction of beautiful slaves. And, in other cases, they serve to distance slaves from the owner by emphasizing the assumed 'otherness' of stupid, fearful, and disabled slaves. Whereas images that conform to slaveholders' attitudes are relatively well known, I have embarked on new lines of investigation by interpreting less deprecating images of slaves that were produced as self-representations. Only in rare instances, like in some of the occupational portraits with identifying inscriptions, can it be solidly proven that the figures represent slaves. Otherwise we have to proceed on unstable and slippery grounds. But if we do so carefully enough, then I am convinced that what we gain is more than rewarding. It is a fascinating and rare glimpse into the slave's visual world, and it is a path that we can hardly afford not to continue exploring.
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    Publication
    Wenn Algorithmen für uns entscheiden: Chancen und Risiken der künstlichen Intelligenz
    (vdf Hochschulverlag AG an der ETH Zürich, 2020-01-01)
    Christen, Markus
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    Mader, Clemens
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    Čas, Johann
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    Abou-Chadi, Tarik
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    Bernstein, Abraham
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    Dell'Aglio, Daniele
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    Fábián, Luca
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    George, Damian
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    Gohdes, Anita
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    Hilty, Lorenz
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    Kneer, Markus
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    Krieger-Lamina, Jaro
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    Licht, Hauke
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    Scherer, Anne
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    Som, Claudia
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    Sutter, Pascal
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    Thouvenin, Florent
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    Computer werden leistungsfähiger und können komplizierte Probleme immer schneller lösen. Gleichzeitig stehen, dank Internet und Smartphones, grosse Mengen an Daten zur Verfügung. Beides fördert die Entwicklung von künstlicher Intelligenz (KI). Anspruchsvolle Aufgaben, an denen bisherige Computerprogramme gescheitert sind, löst künstliche Intelligenz scheinbar mühelos. Bekannte Beispiele sind KI-Systeme, die Sprachen übersetzen oder menschliche Gegner in Spielen aller Art bezwingen. Stetig wird die künstliche Intelligenz verbessert und übernimmt Tätigkeiten, die bisher Menschen vorbehalten waren, etwa Steuerbetrug identifizieren oder Krankheiten diagnostizieren. Künstliche Intelligenz gilt daher als wichtiger Treiber des digitalen Wandels. Die Studie von TA-SWISS beschäftigt sich eingehend mit den Chancen und Risiken dieser Technologie in den Anwendungsbereichen Arbeit, Bildung und Forschung, Konsum, Medien und Verwaltung. Zur Sprache kommen insbesondere auch allgemeine ethische und rechtliche Aspekte. Das Hauptaugenmerk liegt auf Anwendungen, bei denen KI Entscheidungsprozesse unterstützt - Prozesse, die zu Entscheidungen mit direkten Auswirkungen auf Bürgerinnen und Bürger sowie auf unsere Gesellschaft als Ganzes führen.
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