117 research outputs found

    Multidisciplinary perspectives on Artificial Intelligence and the law

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    This open access book presents an interdisciplinary, multi-authored, edited collection of chapters on Artificial Intelligence (‘AI’) and the Law. AI technology has come to play a central role in the modern data economy. Through a combination of increased computing power, the growing availability of data and the advancement of algorithms, AI has now become an umbrella term for some of the most transformational technological breakthroughs of this age. The importance of AI stems from both the opportunities that it offers and the challenges that it entails. While AI applications hold the promise of economic growth and efficiency gains, they also create significant risks and uncertainty. The potential and perils of AI have thus come to dominate modern discussions of technology and ethics – and although AI was initially allowed to largely develop without guidelines or rules, few would deny that the law is set to play a fundamental role in shaping the future of AI. As the debate over AI is far from over, the need for rigorous analysis has never been greater. This book thus brings together contributors from different fields and backgrounds to explore how the law might provide answers to some of the most pressing questions raised by AI. An outcome of the Católica Research Centre for the Future of Law and its interdisciplinary working group on Law and Artificial Intelligence, it includes contributions by leading scholars in the fields of technology, ethics and the law.info:eu-repo/semantics/publishedVersio

    Beyond Quantity: Research with Subsymbolic AI

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    How do artificial neural networks and other forms of artificial intelligence interfere with methods and practices in the sciences? Which interdisciplinary epistemological challenges arise when we think about the use of AI beyond its dependency on big data? Not only the natural sciences, but also the social sciences and the humanities seem to be increasingly affected by current approaches of subsymbolic AI, which master problems of quality (fuzziness, uncertainty) in a hitherto unknown way. But what are the conditions, implications, and effects of these (potential) epistemic transformations and how must research on AI be configured to address them adequately

    Plug-in healthcare:Development, ruination, and repair in health information exchange

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    This dissertation explores the work done by people and things in emerging infrastructures for health information exchange. It shows how this work relates to processes of development, production, and growth, as well as to abandonment, ruination, and loss. It argues for a revaluation of repair work: a form of articulation work that attends to gaps and disruptions in the margins of technological development. Often ignored by engineers, policy makers, and researchers, repair sensitizes us to different ways of caring for people and things that do not fit, fall in between categories, and resist social norms and conventions. It reminds us that infrastructures emerge in messy and unevenly distributed sociotechnical configurations, and that technological solutions cannot be simply ‘plugged in’ at will, but require all kinds of work. With that, repair emphasizes the need for more democratic, critical, and reflexive engagements with (and interventions in) health information exchange. Empirically, this study aims to understand how ‘integration’ in health information exchange is done in practice, and to develop concepts and insights that may help us to rethink technological development accordingly. It starts from the premise that the introduction of IT in healthcare is all too often regarded as a neutral process, and as a rational implementation challenge. These widespread views among professionals, managers, and policy makers need to be addressed, as they have very real – and mostly undesirable – consequences. Spanning a period of more than ten years, this study traces the birth and demise of an online regional health portal in the Netherlands (2009-2019). Combining ethnographic research with an experimental form of archive work, it describes sociotechnical networks that expanded, collapsed, and reconfigured around a variety of problems – from access to information and data ownership to business cases, financial sustainability, and regional care. It puts a spotlight on the integration of standards, infrastructures, and users in the portal project, and on elements of collapsing networks that quietly resurfaced elsewhere. The reconstruction of these processes foregrounds different instances of repair work in the portal’s development and subsequent abandonment, repurposing, and erasure. Conceptually, this study contributes to academic debates in health information exchange, including the politics of technology, practices of participatory design, and the role of language in emerging information infrastructures. It latches on to ethnographic studies on information systems and infrastructural work, and brings together insights from actor-network theory, science and technology studies, and figurational sociology to rethink and extend current (reflexive and critical) understandings of technological development. It raises three questions: What work is done in the development and demise of an online health portal? How are relations between people and things shaped in that process? And how can insights from this study help us to understand changing sociotechnical figurations in health information exchange? The final analysis includes five key concepts: the act of building network extensions, the method of tracing phantom networks, the notion of sociotechnical figurations, the logic of plug-in healthcare, and repair as a heuristic device.<br/

    Managing healthcare transformation towards P5 medicine (Published in Frontiers in Medicine)

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    Health and social care systems around the world are facing radical organizational, methodological and technological paradigm changes to meet the requirements for improving quality and safety of care as well as efficiency and efficacy of care processes. In this they’re trying to manage the challenges of ongoing demographic changes towards aging, multi-diseased societies, development of human resources, a health and social services consumerism, medical and biomedical progress, and exploding costs for health-related R&D as well as health services delivery. Furthermore, they intend to achieve sustainability of global health systems by transforming them towards intelligent, adaptive and proactive systems focusing on health and wellness with optimized quality and safety outcomes. The outcome is a transformed health and wellness ecosystem combining the approaches of translational medicine, 5P medicine (personalized, preventive, predictive, participative precision medicine) and digital health towards ubiquitous personalized health services realized independent of time and location. It considers individual health status, conditions, genetic and genomic dispositions in personal social, occupational, environmental and behavioural context, thus turning health and social care from reactive to proactive. This requires the advancement communication and cooperation among the business actors from different domains (disciplines) with different methodologies, terminologies/ontologies, education, skills and experiences from data level (data sharing) to concept/knowledge level (knowledge sharing). The challenge here is the understanding and the formal as well as consistent representation of the world of sciences and practices, i.e. of multidisciplinary and dynamic systems in variable context, for enabling mapping between the different disciplines, methodologies, perspectives, intentions, languages, etc. Based on a framework for dynamically, use-case-specifically and context aware representing multi-domain ecosystems including their development process, systems, models and artefacts can be consistently represented, harmonized and integrated. The response to that problem is the formal representation of health and social care ecosystems through an system-oriented, architecture-centric, ontology-based and policy-driven model and framework, addressing all domains and development process views contributing to the system and context in question. Accordingly, this Research Topic would like to address this change towards 5P medicine. Specifically, areas of interest include, but are not limited: • A multidisciplinary approach to the transformation of health and social systems • Success factors for sustainable P5 ecosystems • AI and robotics in transformed health ecosystems • Transformed health ecosystems challenges for security, privacy and trust • Modelling digital health systems • Ethical challenges of personalized digital health • Knowledge representation and management of transformed health ecosystems Table of Contents: 04 Editorial: Managing healthcare transformation towards P5 medicine Bernd Blobel and Dipak Kalra 06 Transformation of Health and Social Care Systems—An Interdisciplinary Approach Toward a Foundational Architecture Bernd Blobel, Frank Oemig, Pekka Ruotsalainen and Diego M. Lopez 26 Transformed Health Ecosystems—Challenges for Security, Privacy, and Trust Pekka Ruotsalainen and Bernd Blobel 36 Success Factors for Scaling Up the Adoption of Digital Therapeutics Towards the Realization of P5 Medicine Alexandra Prodan, Lucas Deimel, Johannes Ahlqvist, Strahil Birov, Rainer Thiel, Meeri Toivanen, Zoi Kolitsi and Dipak Kalra 49 EU-Funded Telemedicine Projects – Assessment of, and Lessons Learned From, in the Light of the SARS-CoV-2 Pandemic Laura Paleari, Virginia Malini, Gabriella Paoli, Stefano Scillieri, Claudia Bighin, Bernd Blobel and Mauro Giacomini 60 A Review of Artificial Intelligence and Robotics in Transformed Health Ecosystems Kerstin Denecke and Claude R. Baudoin 73 Modeling digital health systems to foster interoperability Frank Oemig and Bernd Blobel 89 Challenges and solutions for transforming health ecosystems in low- and middle-income countries through artificial intelligence Diego M. López, Carolina Rico-Olarte, Bernd Blobel and Carol Hullin 111 Linguistic and ontological challenges of multiple domains contributing to transformed health ecosystems Markus Kreuzthaler, Mathias Brochhausen, Cilia Zayas, Bernd Blobel and Stefan Schulz 126 The ethical challenges of personalized digital health Els Maeckelberghe, Kinga Zdunek, Sara Marceglia, Bobbie Farsides and Michael Rigb

    Volitional Cybersecurity

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    This dissertation introduces the “Volitional Cybersecurity” (VCS) theory as a systematic way to think about adoption and manage long-term adherence to cybersecurity approaches. The validation of VCS has been performed in small- and medium-sized enterprises or businesses (SMEs/SMBs) context. The focus on volitional activities promotes theoretical viewpoints. Also, it aids in demystifying the aspects of cybersecurity behaviour in heterogeneous contexts that have neither been systematically elaborated in prior studies nor embedded in cybersecurity solutions. Abundant literature demonstrates a lack of adoption of manifold cybersecurity remediations. It is still not adequately clear how to select and compose cybersecurity approaches into solutions for meeting the needs of many diverse cybersecurity-adopting organisations. Moreover, the studied theories in this context mainly originated from disciplines other than information systems and cybersecurity. The constructs were developed based on data, for instance, in psychology or criminology, that seem not to fit properly for the cybersecurity context. Consequently, discovering new methods and theories that can be of help in active and volitional forms of cybersecurity behaviour in diverse contexts may be conducive to a better quality of cybersecurity engagement. This leads to the main research question of this dissertation: How can we support volitional forms of behaviour with a self-paced tool to increase the quality of cybersecurity engagement? The main contribution of this dissertation is the VCS theory. VCS is a cybersecurity-focused theory structured around the core concept of volitional cybersecurity behaviour. It suggests that a context can be classified based on the cybersecurity competence of target groups and their distinct requirements. This classification diminishes the complexity of the context and is predictive of improvement needs for each class. Further, the theory explicates that supporting three factors: A) personalisation, B) cybersecurity competence, and C) connectedness to cybersecurity expertise affect the adoption of cybersecurity measures and better quality of cybersecurity engagement across all classes of the context. Therefore, approaches that ignore the personalisation of cybersecurity solutions, the cybersecurity competence of target groups, and the connectedness of recipients to cybersecurity expertise may lead to poorer acceptance of the value or utility of solutions. Subsequently, it can cause a lack of motivation for adopting cybersecurity solutions and adherence to best practices. VCS generates various implications. It has implications for cybersecurity research in heterogeneous contexts to transcend the common cybersecurity compliance approaches. Building on VCS, researchers could develop interventions looking for volitional cybersecurity behaviour change. Also, it provides knowledge that can be useful in the design of self-paced cybersecurity tools. VCS explains why the new self-paced cybersecurity tool needs specific features. The findings of this dissertation have been subsequently applied to the follow-up project design. Further, it has implications for practitioners and service providers to reach out to the potential end-users of their solutions

    The Fine Line Between Decent and Indecent Work in Italy and the US: Agricultural Work at the Intersection of the Community, Supply Chains and the State

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    Considering the importance and centrality of agricultural supply chains in the global economy and the related structures of vulnerability that are intrinsic in how food is produced, where food represents both a need and an important source of profit, and therefore of inequalities, agriculture can be viewed as one of the organizational fields most characterized by episodes of labour exploitation. In more detail, labour in agriculture is characterized by an interconnection of different domains, that is immigration, housing, transportation, and health, as well as a lack of labour protections to mention some of the different areas of intersection. Thus, agriculture compared to other industries represents the area of the economy where alternative and creative forms of labour organizing appear to be more necessary and required. On this subject, community unionism represents one important response. Nevertheless, despite the peculiarity of agricultural labour, research at the intersection of agricultural labour and community unionism is still underdeveloped, especially with a comparative approach aimed to highlight systematically the common trends at the global level. This doctoral research aims to advance this literature on community unionism by proposing a conceptualization of community unionism in agriculture that is empirically grounded on a comparative research about community unionism in Italy and the US. From a theoretical perspective, I draw on critical sensemaking, the related concept of sensegiving, and Freire’s critical pedagogy theory. This choice is motivated by the adoption of Freire’s popular education by many workers’ organizations, and by the intention to propose a framework that, through Freire’s reflection on oppression, is a critical reconstruction of alternative organizing in agriculture as a set of sensemaking and sensegiving processes aimed to reshape agricultural contexts. Therefore, this research expands existing literature regarding community unionism, by proposing a conceptualization of exploitation and community unionism in agriculture. This conceptualization is based on three contexts of power and agency at which challenges to decent work – and therefore responses to them - happen, i.e., community, supply chains, and the state

    Increasing Access to Doulas in Oregon: A Delphi Study

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    Doulas are trained, nonmedical support professionals that provide continuous emotional, informational, physical, and practical support before, during, and after childbirth. Doula care has been shown to reduce the cost of birth-related healthcare, reduce adverse birth outcomes, and increase patient satisfaction and positive birth experience. In 2011 Oregon became the first state to authorize payment expenditures of doula care through Medicaid as a strategy to reduce birth-related health disparities and increase culturally and linguistically appropriate healthcare delivery. The intention of the set of policies and administrative rules was to mandate access to doulas and other types of Traditional Health Workers (THWs) for Medicaid-enrolled families. Access in healthcare is approximated and measured in many ways, often emphasizing utilization. The Patient Centered Model of Access to Healthcare conceptualizes access as occurring at multiple points across a process of identifying, finding, obtaining, and utilizing healthcare for both patient populations and healthcare systems; the financing of doula care is one of many potential factors that could increase or diminish access to care. Utilizing this conceptualization of access, the research question of this dissertation was: What are the emerging Medicaid policy and system factors that would increase access to doula care in Oregon? This study utilized a modified Delphi survey to identify the barriers and facilitators to doula care access in Oregon, determine priority barriers and facilitators, and identify possible actions to influence the most influential barriers. First, the Patient Centered Model of Access to Healthcare was modified, and further refined with qualitative data, to identify seven health system levels and six access points, or dimensions of access, occurring between the steps of identifying healthcare needs, seeking and reaching healthcare, healthcare utilization, and health outcomes. Data were collected through a three-round Delphi survey of healthcare system professionals who work closely with the policy topic to represent the healthcare system and policy perspectives, a set of pre-survey focus groups of participants recruited through Oregon Women, Infants, and Children (WIC) to represent the patient perspective, and a final set of interviews recruited from the initial focus groups to review survey and focus group findings for additional input and consensus. The findings of this study demonstrate that the most important barriers to access include general and adequate knowledge of doulas across all healthcare system levels, with specific emphasis on patient and healthcare provider knowledge of Medicaid coverage of doula services, patient knowledge and understanding of the role and benefits of doula care, and healthcare provider knowledge of how to refer patients to doulas. The next most influential barriers to doula care access focused on the challenges to create an equitable and sustainable doula workforce to provide culturally and linguistically appropriate care, and the buy-in to THW program development and utilization from Coordinated Care Organizations (CCOs) and the Oregon Health Authority. To effectively increase access to doulas, as is mandated in Oregon legislative and administrative policies, the following recommendations would further support doula care access: direct and detailed communication to patients from their healthcare providers and CCOs about doulas, social needs screening and referral tools that include birth-related support for healthcare providers, and further technological and administrative support to CCOs to ensure data reporting and referral pathways related to THW tracking and utilization requirements

    D7.5 FIRST consolidated project results

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    The FIRST project commenced in January 2017 and concluded in December 2022, including a 24-month suspension period due to the COVID-19 pandemic. Throughout the project, we successfully delivered seven technical reports, conducted three workshops on Key Enabling Technologies for Digital Factories in conjunction with CAiSE (in 2019, 2020, and 2022), produced a number of PhD theses, and published over 56 papers (and numbers of summitted journal papers). The purpose of this deliverable is to provide an updated account of the findings from our previous deliverables and publications. It involves compiling the original deliverables with necessary revisions to accurately reflect the final scientific outcomes of the project

    Computer-Mediated Communication

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    This book is an anthology of present research trends in Computer-mediated Communications (CMC) from the point of view of different application scenarios. Four different scenarios are considered: telecommunication networks, smart health, education, and human-computer interaction. The possibilities of interaction introduced by CMC provide a powerful environment for collaborative human-to-human, computer-mediated interaction across the globe

    Data Spaces

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    This open access book aims to educate data space designers to understand what is required to create a successful data space. It explores cutting-edge theory, technologies, methodologies, and best practices for data spaces for both industrial and personal data and provides the reader with a basis for understanding the design, deployment, and future directions of data spaces. The book captures the early lessons and experience in creating data spaces. It arranges these contributions into three parts covering design, deployment, and future directions respectively. The first part explores the design space of data spaces. The single chapters detail the organisational design for data spaces, data platforms, data governance federated learning, personal data sharing, data marketplaces, and hybrid artificial intelligence for data spaces. The second part describes the use of data spaces within real-world deployments. Its chapters are co-authored with industry experts and include case studies of data spaces in sectors including industry 4.0, food safety, FinTech, health care, and energy. The third and final part details future directions for data spaces, including challenges and opportunities for common European data spaces and privacy-preserving techniques for trustworthy data sharing. The book is of interest to two primary audiences: first, researchers interested in data management and data sharing, and second, practitioners and industry experts engaged in data-driven systems where the sharing and exchange of data within an ecosystem are critical
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