The explosive growth in data, computational power, and social media creates new opportunities for innovating the processes and solutions of Information and communications technology (ICT) based policy-making and research. To take advantage of these developments in the digital world, new approaches, concepts, instruments and methods are needed to navigate the societal and computational complexity. This requires extensive interdisciplinary knowledge of public administration, policy analyses, information systems, complex systems and computer science. This book provides the foundation for this new interdisciplinary field, in which various traditional disciplines are blending. Both policy makers, executors and those in charge of policy implementations acknowledge that ICT is becoming more important and is changing the policy-making process, resulting in a next generation policy-making based on ICT support. Web 2.0 and even Web 3.0 point to the specific applications of social networks, semantically enriched and linked data, whereas policy-making has also to do with the use of the vast amount of data, predictions and forecasts, and improving the outcomes of policy-making, which is confronted with an increasing complexity and uncertainty of the outcomes. The field of policy-making is changing and driven by developments like open data, computational methods for processing data, opining mining, simulation and visualization of rich data sets, all combined with public engagement, social media and participatory tools.

This book provides a comprehensive approach to the study of policy analytics, modelling and informatics. It includes theories and concepts for understanding tools and techniques used by governments seeking to improve decision making through the use of technology, data, modelling, and other analytics, and provides relevant case studies and practical recommendations. Governments around the world face policy issues that require strategies and solutions using new technologies, new access to data and new analytical tools and techniques such as computer simulation, geographic information systems, and social network analysis for the successful implementation of public policy and government programs. Chapters include cases, concepts, methodologies, theories, experiences, and practical recommendations on data analytics and modelling for public policy and practice, and addresses a diversity of data tools, applied to different policy stages in several contexts, and levels and branches of government. This book will be of interest of researchers, students, and practitioners in e-government, public policy, public administration, policy analytics and policy informatics.

The Conference for E-Democracy and Open Government (CeDEM) brings together experts from academia, public authorities, developers and practitioners. The CeDEM proceedings present the essence of academic and practical knowledge on e-democracy and open government. The reflections, the workshops and the PhD papers found in these proceedings reveal the newest developments, trends, tools and procedures, and show the many ways that these impact society and Democracy.

This book provides the latest research advancements and findings for the scientific systematization of knowledge regarding digital governance and transformation, such as core concepts, foundational principles, theories, methodologies, architectures, assessment frameworks and future directions. It brings forward the ingredients of this new domain, proposing its needed formal and systematic tools, exploring its relation with neighbouring scientific domains and finally prescribing the next steps for laying the foundations of a new science. The book is structured into three main areas. The first section focuses on contributions towards the purpose, ingredients and structure of the scientific foundations of digital transformation in the public sector. The second looks at the identification and description of domain's scientific problems with a view to stabilizing research products, assessment methods and tools in a reusable, extendable and sustainable manner. The third envisions a pathway for future research to tackle broader governance problems via the applications of information and communication technologies in combination with innovative approaches from neighbouring scientific domains. Contributing to the analysis of the scientific perspectives of digital governance and digital transformation, this book will be an indispensable tool for students, researchers and practitioners interested in digital governance, digital transformation, information systems, as well as ICT industry experts and policymakers charged with the design, deployment and implementation of public sector information systems.

This book constitutes the proceedings of the 18th IFIP WG 8.5 International Conference on Electronic Government, EGOV 2019, held in San Benedetto del Tronto, Italy, in September 2019, in conjunction with the IFIP WG 8.5 IFIP International Conference on Electronic Participation (ePart 2019) and the International Conference for E-Democracy and Open Government Conference (CeDEM 2019). The 27 revised full papers presented were carefully reviewed and selected from 64 submissions. The papers are clustered under the following topical sections: E-Government Foundations; E-Government Services and Open Government; Open Data: Social and Technical Aspects; AI, Data Analytics and Automated Decision Making; and Smart Cities.

This book introduces the concept of policy decision emergence and its dynamics at the sub systemic level of the decision process. This level constitutes the breeding ground of the emergence of policy decisions but remains unexplored due to the absence of adequate tools. It is a nonlinear complex system made of several entities that interact dynamically. The behavior of such a system cannot be understood with linear and deterministic methods. The book presents an innovative multidisciplinary approach that results in the development of a Policy Decision Emergence Simulation Model (PODESIM). This computational model is a multi-level fuzzy inference system that allows the identification of the decision emergence levers. This development represents a major advancement in the field of public policy decision studies. It paves the way for decision emergence modeling and simulation by bridging complex systems theory, multiple streams theory, and fuzzy logic theory.

This book provides a comprehensive overview of how the course, content and outcome of policy making is affected by big data. It scrutinises the notion that big and open data makes policymaking a more rational process, in which policy makers are able to predict, assess and evaluate societal problems. It also examines how policy makers deal with big data, the problems and limitations they face, and how big data shapes policymaking on the ground. The book considers big data from various perspectives, not just the political, but also the technological, legal, institutional and ethical dimensions. The potential of big data use in the public sector is also assessed, as well as the risks and dangers this might pose. Through several extended case studies, it demonstrates the dynamics of big data and public policy. Offering a holistic approach to the study of big data, this book will appeal to students and scholars of public policy, public administration and data science, as well as those interested in governance and politics.