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Based on the overall digitalization in all spheres of our lives, Data Science and Artificial Intelligence (AI) are nowadays cornerstones for innovation, problem solutions, and business transformation. Data, whether structured or unstructured, numerical, textual, or audiovisual, put in context with other data or analyzed and processed by smart algorithms, are the basis for intelligent concepts and practical solutions. These solutions address many application areas such as Industry 4.0, the Internet of Things (IoT), smart cities, smart energy generation, and distribution, and environmental management. Innovation dynamics and business opportunities for effective solutions for the essential societal, environmental, or health challenges, are enabled and driven by modern data science approaches. However, Data Science and Artificial Intelligence are forming a new field that needs attention and focused research. Effective data science is only achieved in a broad and diverse discourse– when data science experts cooperate tightly with application domain experts and scientists exchange views and methods with engineers and business experts. Thus, the 5th International Data Science Conference (iDSC 2023) brings together researchers, scientists, business experts, and practitioners to discuss new approaches, methods, and tools made possible by data science.
Artificial intelligence --- Application software. --- Data Science. --- Computer and Information Systems Applications. --- Data processing. --- Data mining
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The open access book combines insights from policy sciences (backgrounds of cross-border coordination challenges), design science (development of architectures for mobile services), information ethics (privacy and security of e-government services in international arenas) and business studies (changes in existing business models). The notably interdisciplinary character provides scholars and policy professionals working in specific (legal, political, engineering) disciplines a unique outlook on how policy making, implementation, and pilots are related in multi-level and cross-border governance. The book presents the results of the EU-funded “Mobile Cross-Border Government Services for Europe” (mGov4EU) project in which various pilots implemented and validated enhanced infrastructure services for electronic voting, smart mobility, and mobile signing. Together, the single pilots demonstrated how enhanced electronic identities and trust services (eIDAS) and Single Digital Gateway Regulation (SDGR) layers can accommodate once-only, digital-by-default and mobile-first principles. By taking advantage of security features of modern smartphones like hardware-backed secure elements together with integrated convenience elements like biometric sensors, this research showed how both the security needs and data-protection expectations one has into public services and the usability challenges that arise when accessing complex services using constrained mobile devices meet. This book is the first one in his kind to address this gap in the academic knowledge, as well as this gap in available compendiums for policy professionals at European levels of decision-making, as well as for policymakers and experts working on electronic identification, cross-border and cross-sector information exchange in the various member states of the European Union. This way, it serves various audiences: first, researchers in informatics-related areas like information systems, electronic government, and mobile applications, as it describes empirical examples of secure, easy-to-use and cross-border electronic services that have been developed and successfully tested in practice. Second, it also caters to researchers in international relations or political science as well as policymakers and politicians, both at national or European levels, who are involved in drafting policies and implementing European initiatives in relation to the building blocks of next-generation e-government services.
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Recent technological advancements in the domains of Artificial Intelligence, Internet of Things and Production 4.0 have generated a fertile ground for plentiful data science investigations. In parallel data science developments have also gained momentum at several industrial settings to support and improve production outputs as well as market performances. The yearly International Data Science Conference (iDSC) 2021, in its fourth edition, virtually presented by AIT Austrian Institute of Technology on 20th an 21st October, therefore followed once more its founding mission, to team scientists and researchers on one hand and industrial practitioners on the other to common discuss the latest data science innovations from a diverse range of research backgrounds and to showcase new implementations from factory shop floors or from sensor driven applications in the field. The six thematic sessions of the conference have been mirroring all the top issues of the data science discipline ranging from challenges in the industrial setting, via Deep and Machine learning methodologies and NLP approaches up to future innovation strategies. While the Research Track had a strong emphasis on Safety and Security matters like Anomaly Detection, Integrity Awareness or Ethical fairness of AI e.g., the Industry Track more made deep reflections on the Scaling of Business models, Infrastructure and Software, the Use of Data Science in SMEs, or the development of Data Ecosystems as an Incubator for Data Innovation. The conference proceedings contain the peer-reviewed full papers of the research track and the corresponding German abstracts as well as short papers from the industry track. The Editors Peter Haber is Assistant Professor of Information and Communication Technology, in particular for analog and digital signal processing, and responsible coordinator for system theory and electrical engineering at Salzburg University of Applied Sciences. He is a researcher and project manager, leading and coordinating national and international projects in the field of IT and IT management, while also integrating data science solutions at businesses. Since 2009 he has been a member of the international advisory board for the IATED conferences. Thomas Lampoltshammer is an Assistant Professor for ICT and Deputy Head of the Centre for E-Governance at the Department of E-Governance and Administration, Danube University Krems, Austria. His current research focus is on the domain of data governance, the effects of ICT application in a connected society, and the effects on a data-driven society. He has a substantial background in the design and implementation of expert and decision-making systems, data analytics, and semantic-based reasoning. Helmut Leopold is the Head of Center for Digital Safety&Security at the AIT Austrian Institute of Technology and is responsible for research areas such as artificial intelligence and cyber security. Prior to AIT, Mr. Leopold was at Alcatel and at Telekom Austria where he played a major role in the digitalization transformation of the organisation. He graduated in computer science from the TU Vienna and holds a PhD from the Lancaster University in England. Manfred Mayr is the Academic Program Director for "Business Informatics and Digital Transformation" as well department head for IT-Management at Salzburg University of Applied Sciences. He is a lecturer at international conferences and the author of various publications in the field of business informatics and business applications. The digitalisation of ERP applications in the industrial environment is a long-standing and important field of his research. In addition, he has coordinated several national and international research projects.
Programming --- Computer architecture. Operating systems --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- applicatiebeheer --- apps --- gegevensanalyse --- KI (kunstmatige intelligentie) --- architectuur (informatica) --- AI (artificiële intelligentie)
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Big data --- Data mining --- Data sets, Large --- Large data sets --- Data sets
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This book constitutes the proceedings of the 13th IFIP WG 8.5 International Conference on Electronic Participation, ePart 2021, held in Granada, Spain, in September 2021, in conjunction with IFIP WG 8.5 Electronic Government (EGOV 2021), the Conference for E-Democracy and Open Government Conference (CeDEM 2021). The 16 full papers presented were carefully reviewed and selected from 37 submissions. The papers are clustered under the following topical sections: digital participation, digital society, digital government and legal issues.
Ergodic theory. Information theory --- Mathematical control systems --- Computer. Automation --- coderen --- computers --- informatica --- maatschappij --- informatietheorie
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Ergodic theory. Information theory --- Mathematical control systems --- Computer. Automation --- coderen --- computers --- informatica --- maatschappij --- informatietheorie
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