This insightful book theorizes the contrast between two logics of organization: bureaucracy and collegiality. Based on this theory and employing a new methodology to transform our sociological understanding, Emmanuel Lazega sheds light on complex organizational phenomena that impact markets, political economy, and social stratification.

The ebook edition of this title is Open Access and freely available to read online. Revealing the globalization, homogenization and variation that have come to characterize the collegiate system, this volume considers the future of the higher education system, and how we can consciously shape it moving forward.

The book includes both invited and contributed chapters dealing with advanced methods and theoretical development for the analysis of social networks and applications in numerous disciplines. Some authors explore new trends related to network measures, multilevel networks and clustering on networks, while other contributions deepen the relationship among statistical methods for data mining and social network analysis. Along with the new methodological developments, the book offers interesting applications to a wide set of fields, ranging from the organizational and economic studies, collaboration and innovation, to the less usual field of poetry. In addition, the case studies are related to local context, showing how the substantive reasoning is fundamental in social network analysis. The list of authors includes both top scholars in the field of social networks and promising young researchers. All chapters passed a double blind review process followed by the guest editors. This edited volume will appeal to students, researchers and professionals.

The ebook edition of this title is Open Access and freely available to read online. Revealing the globalization, homogenization and variation that have come to characterize the collegiate system, this volume critically considers the future of the higher education system, and how we can shape it moving forward.

When the Matrix trilogy was published in the mid-1980s, it introduced to mass culture a number of post-human tropes about the conscious machines that have haunted our collective imaginaries ever since. This volume explores the social representations and significance of technological developments – especially AI and human enhancement – that have started to transform our human agency. It uses these developments to revisit theories of the human mind and its essential characteristics: a first-person perspective, concerns and reflexivity. It looks at how the smart machines are used as agents of change in the basic institutions and organisations that hold contemporary societies together, for example in the family and the household, in commercial corporations, in health institutions or in the military. Its main purpose is to enrich the ongoing public discussion of the social and political implications of the smart machines by looking at the extent to which they further digitalise and bureaucratise the world, in particular by asking whether they are used to develop techno-totalitarian societies that corrode normativity and solidarity.

While some social scientists may argue that we have always been networked, the increased visibility of networks today across economic, political, and social domains can hardly be disputed. Social networks fundamentally shape our lives and social network analysis has become a vibrant, interdisciplinary field of research. In The Oxford Handbook of Social Networks, Ryan Light and James Moody have gathered forty leading scholars in sociology, archaeology, economics, statistics, and information science, among others, to provide an overview of the theory, methods, and contributions in the field of social networks. Each of the thirty-three chapters in this Handbook moves through the basics of social network analysis aimed at those seeking an introduction to advanced and novel approaches to modeling social networks statistically. They cover both a succinct background to, and future directions for, distinctive approaches to analyzing social networks. The first section of the volume consists of theoretical and methodological approaches to social networks, such as visualization and network analysis, statistical approaches to networks, and network dynamics. Chapters in the second section outline how network perspectives have contributed substantively across numerous fields, including public health, political analysis, and organizational studies. Despite the rapid spread of interest in social network analysis, few volumes capture the state-of-the-art theory, methods, and substantive contributions featured in this volume. This Handbook therefore offers a valuable resource for graduate students and faculty new to networks looking to learn new approaches, scholars interested in an overview of the field, and network analysts looking to expand their skills or substantive areas of research.

This volume engages with post-humanist and transhumanist approaches to present an original exploration of the question of how humankind will fare in the face of artificial intelligence. With emerging technologies now widely assumed to be calling into question assumptions about human beings and their place within the world, and computational innovations of machine learning leading some to claim we are coming ever closer to the long-sought artificial general intelligence, it defends humanity with the argument that technological ‘advances’ introduced artificially into some humans do not annul their fundamental human qualities. Against the challenge presented by the possibility that advanced artificial intelligence will be fully capable of original thinking, creative self-development and moral judgement and therefore have claims to legal rights, the authors advance a form of ‘essentialism’ that justifies providing a ‘decent minimum life’ for all persons. As such, while the future of the human is in question, the authors show how dispensing with either the category itself or the underlying reality is a less plausible solution than is often assumed.