"Social Simulation for a Digital Society" provides a cross-section of state-of-the-art research in social simulation and computational social science. With the availability of big data and faster computing power, the social sciences are undergoing a tremendous transformation. Research in computational social sciences has received considerable attention in the last few years, with advances in a wide range of methodologies and applications. Areas of application of computational methods range from the study of opinion and information dynamics in social networks, the formal modeling of resource use, the study of social conflict and cooperation to the development of cognitive models for social simulation and many more. This volume is based on the Social Simulation Conference of 2017 in Dublin and includes applications from across the social sciences, providing the reader with a demonstration of the highly versatile research in social simulation, with a particular focus on public policy relevance in a digital society. Chapters in the book include contributions to the methodology of simulation-based research, theoretical and philosophical considerations, as well as applied work. This book will appeal to students and researchers in the field.

Electoral behaviour is one of the most dynamic areas of study in the field of comparative politics today. A strongly emerging theme in recent years has been the need to set the study of voting behaviour in its wider context, that is to understand how the behaviour of the individual (non)voter is conditioned by the environment in which the election is occurring. The main motivation for this book is to respond to this need. The Act of Voting examines voting - both the question of whether to vote (ie. electoral turnout) and who to vote for - in context from a range of interdisciplinary perspectives. In addition to other topics and themes, chapters explore the national or social identities of individuals and how these contribute to complex social dynamics, discuss the institutions that determine who is able to vote and over what, and analyse the impact of the locale on the voting act. Offering chapters by up-and-coming scholars in the field of electoral behaviour, as well as reflections on how the act of voting should be viewed in the broadest context - normatively, institutionally and socially, this book will be of interest to students and scholars researching political behaviour, public opinion and politics more generally.

Electoral behaviour is one of the most dynamic areas of study in the field of comparative politics today. A strongly emerging theme in recent years has been the need to set the study of voting behaviour in its wider context, that is to understand how the behaviour of the individual (non)voter is conditioned by the environment in which the election is occurring. The main motivation for this book is to respond to this need. The Act of Voting examines voting - both the question of whether to vote (ie. electoral turnout) and who to vote for - in context from a range of interdisciplinary perspectives. In addition to other topics and themes, chapters explore the national or social identities of individuals and how these contribute to complex social dynamics, discuss the institutions that determine who is able to vote and over what, and analyse the impact of the locale on the voting act. Offering chapters by up-and-coming scholars in the field of electoral behaviour, as well as reflections on how the act of voting should be viewed in the broadest context - normatively, institutionally and socially, this book will be of interest to students and scholars researching political behaviour, public opinion and politics more generally.

"Social Simulation for a Digital Society" provides a cross-section of state-of-the-art research in social simulation and computational social science. With the availability of big data and faster computing power, the social sciences are undergoing a tremendous transformation. Research in computational social sciences has received considerable attention in the last few years, with advances in a wide range of methodologies and applications. Areas of application of computational methods range from the study of opinion and information dynamics in social networks, the formal modeling of resource use, the study of social conflict and cooperation to the development of cognitive models for social simulation and many more. This volume is based on the Social Simulation Conference of 2017 in Dublin and includes applications from across the social sciences, providing the reader with a demonstration of the highly versatile research in social simulation, with a particular focus on public policy relevance in a digital society. Chapters in the book include contributions to the methodology of simulation-based research, theoretical and philosophical considerations, as well as applied work. This book will appeal to students and researchers in the field.