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This book constitutes the refereed proceedings of the 6th International Conference on Electronic Government held in September 2007. The 37 revised papers were selected from numerous submissions. They cover research foundations, frameworks and methods, process design and interoperability, electronic services, policies and strategies, assessment and evaluation, participation and democracy, and perspectives on e-government.
Ethics and accountability have become important themes for modern government, as in most of the countries there is a severe crisis of legitimacy. Increasingly there is a feeling that performance management alone will not solve this crisis. Citizens also expect from politicians and public servants ethical responsible conduct. As to the ethics, however, there is a problem. Governance and new public management have raised new problems which cannot be solved by referring to the traditional bureaucratic ethics. Devolution and decentralisation processes have enhanced the responsibility of public servants. The increase of transparency and openness and the service orientation of public organisations have challenged the traditional values of discretion and equality before the rule. The growing interaction between the public and the private sector have raised the question of integrity. In light of these developments, it is important to update the ethical system, or reversibly, the traditional values of the public service can question some actual evolutions in government.
This book argues that in the digital era, a reinvention of democracy is urgently necessary. It discusses the mounting evidence showing that digitalisation is pushing classical parliamentary democracy to its limits, offering examples such as how living in a filter bubble and debating with political bots is profoundly changing democratic communication, making it more emotional, hysterical even, and less rational. It also explores how classical democracy involves long, slow thinking and decision processes, which don’t fit to the ever-increasing speed of the digital world, and examines the technical developments some fear will lead to governance by algorithms.In the digitalised world, democracy no longer functions as it has in the past. This does not mean waving goodbye to democracy – instead we need to reinvent it. How this could work is the central theme of this book.
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Today quality of education hinges less on mode of instruction or institutional reputation than on the commitment of individual administrators and instructors to understand and apply digital learning. Digital Learning reveals the technologies behind successful implementation of online learning and teaching, and introduces the most important concepts and relationships in plain language. Readers are also provided with a glossary of key terms and a selection of resources.
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The book illustrates the inter-relationship between several data management, analytics and decision support techniques and methods commonly adopted in Cybersecurity-oriented frameworks. The recent advent of Big Data paradigms and the use of data science methods, has resulted in a higher demand for effective data-driven models that support decision-making at a strategic level. This motivates the need for defining novel data analytics and decision support approaches in a myriad of real-life scenarios and problems, with Cybersecurity-related domains being no exception. This contributed volume comprises nine chapters, written by leading international researchers, covering a compilation of recent...
The two-volume set LNAI 8397 and LNAI 8398 constitutes the refereed proceedings of the 6th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2014, held in Bangkok, Thailand, in April 2014. The 125 revised papers presented were carefully reviewed and selected from 300 submissions. The papers address the following topics: natural language and text processing, intelligent information retrieval, semantic Web, social networks and recommendation systems, intelligent database systems, decision support systems, computer vision techniques, and machine learning and data mining. The papers are organized in topical sections on multiple model approach to machine learning, MMAML 201...