Thomas J. Lampoltshammer – författare

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.

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.

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.

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.

This volume constitutes the refereed and revised post-conference proceedings of the 9th IFIP WG 5.15 International Conference on Information Technology in Disaster Risk Reduction, ITDRR 2024, held in Krems an der Donau, Austria, during October 14–16, 2024.The 18 full papers presented in this volume were carefully reviewed and selected from 21 submissions. The papers were organized in topical sections as follows: Information for Disaster Management; Training; Evacuation; Reliability in Decision-making; War and Safety Issues; Information and Community Disaster Management.

This volume constitutes the refereed and revised post-conference proceedings of the 9th IFIP WG 5.15 International Conference on Information Technology in Disaster Risk Reduction, ITDRR 2024, held in Krems an der Donau, Austria, during October 14–16, 2024.The 18 full papers presented in this volume were carefully reviewed and selected from 21 submissions. The papers were organized in topical sections as follows: Information for Disaster Management; Training; Evacuation; Reliability in Decision-making; War and Safety Issues; Information and Community Disaster Management.

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.The iDSC is designed as a conference with a dual approach: By bringing together the latest findings in research and science, as well as innovative implementation examples in business and industry, the conference is aimed at reflecting the current scientific breakthroughs and application expertise, as a means of stimulating shared professional discourse. The iDSC realizes this approach via its Research & Science track, the Application & Use Cases track, as well as interactive workshops. In addition, iDSC is striving to provide a PhD colloquium, enabling young researchers to exchange with senior faculty, industry experts, as well as other fellow students. All these activities are complemented with exciting keynotes and panels, providing international exchange and the discussion of current and next-gen trends in the domain of data science.

Organizations have moved already from the rigid structure of classical project management towards the adoption of agile approaches. This holds also true for software development projects, which need to be flexible to adopt to rapid requests of clients as well to reflect changes that are required due to architectural design decisions. With data science having established itself as corner stone within organizations and businesses, it is now imperative to perform this crucial step for analytical business processes as well. The non-deterministic nature of data science and its inherent analytical tasks require an interactive approach towards an evolutionary step-by-step development to realize core essential business applications and use cases.The 4th International Data Science Conference (iDSC) 2021 brought together researchers, scientists, and business experts to discuss means of establishing new ways of embracing agile approaches within the various domains of data science, such as machine learning and AI, data mining, or visualization and communication as well as case studies and best practices from leading research institutions and business companies.The proceedings include all full papers presented in the scientific track and the corresponding German abstracts as well as the short papers from the student track.Among the topics of interest are:Artificial Intelligence and Machine Learning Implementation of data mining processes Agile Data Science and Visualization Case Studies and Applications for Agile Data Science---Organisationen sind bereits von der starren Struktur des klassischen Projektmanagements zu agilen Ansätzen übergegangen. Dies gilt auch für Softwareentwicklungsprojekte, die flexibel sein müssen, um schnell auf die Wünsche der Kunden reagieren zu können und um Änderungen zu berücksichtigen, die aufgrund von Architekturentscheidungen erforderlich sind. Nachdem sich die Datenwissenschaft als Eckpfeiler in Organisationen und Unternehmen etabliert hat, ist es nun zwingend erforderlich, diesen entscheidenden Schritt auch für analytische Geschäftsprozesse durchzuführen. Die nicht-deterministische Natur der Datenwissenschaft und die ihr innewohnenden analytischen Aufgaben erfordern einen interaktiven Ansatz für eine evolutionäre, schrittweise Entwicklung zur Realisierung der wichtigsten Geschäftsanwendungen und Anwendungsfälle.Die 4. Internationale Konferenz zur Datenwissenschaft (iDSC 2021) brachte Forscher, Wissenschaftler und Wirtschaftsexperten zusammen, um Möglichkeiten zu erörtern, wie neue Wege zur Umsetzung agiler Ansätze in den verschiedenen Bereichen der Datenwissenschaft, wie maschinelles Lernen und KI, Data Mining oder Visualisierung und Kommunikation, sowie Fallstudien und Best Practices von führenden Forschungseinrichtungen und Wirtschaftsunternehmen etabliert werdenkönnen.Der Tagungsband umfasst alle im wissenschaftlichen Track vorgestellten Volltexte und die Kurzbeiträge aus dem studentischen Track auf Englisch und die dazugehörigen Abstracts auf Deutsch.Zu den Themen, die sie interessieren, gehören unter anderem: Künstliche Intelligenz und Maschinelles Lernen Implementierung von Data-Mining-Prozessen Agile Datenwissenschaft und Visualisierung Fallstudien und Anwendungen für Agile Datenwissenschaft