Thanks to its very nature, performance enters into natural dialogue with art, new media, politics, and the social sphere as a whole. Always happening in the here and now, and with a unique freedom and openness to the unknown, performance is a medium with a special ability to question its own subjects, materials, and languages. As a result, it is often best reflected in the dynamic character of contemporary art and contemporaneity in the broadest sense of the word. Points of Convergence explores these ideas and investigates critical approaches to performance, ultimately aiming to stimulate new discussion between theorists and practitioners. With twelve essays by leading figures in the field of performance arts, this illustrated volume is structured in two parts. The first, authored by academics in the discipline, features an introduction to key areas of scholastic research. The second part, authored by curators and other researchers, then focuses on an account of individual traditions of performance. Taken together, the contributions identify new possibilities for interaction between the theoretical aspects of performance art and the ways performance plays out within local contexts.

Convergence of the life sciences with fields including physical, chemical, mathematical, computational, engineering, and social sciences is a key strategy to tackle complex challenges and achieve new and innovative solutions. However, institutions face a lack of guidance on how to establish effective programs, what challenges they are likely to encounter, and what strategies other organizations have used to address the issues that arise. This advice is needed to harness the excitement generated by the concept of convergence and channel it into the policies, structures, and networks that will enable it to realize its goals. Convergence investigates examples of organizations that have established mechanisms to support convergent research. This report discusses details of current programs, how organizations have chosen to measure success, and what has worked and not worked in varied settings. The report summarizes the lessons learned and provides organizations with strategies to tackle practical needs and implementation challenges in areas such as infrastructure, student education and training, faculty advancement, and inter-institutional partnerships.

It is often suggested that political parties are becoming increasingly alike, and that party politics has turned into an elite affair where political professionals collude to further their self-interest rather than work to represent the interests of their constituents. In recent decades this diagnosis has been famously associated with Richard Katz and Peter Mair's cartel party theory. Yet so far this controversial thesis has not been subjected to systematic empirical scrutiny, nor has its conceptual and normative underpinnings been properly considered. In this volume a group of political scientists with different specialisations take on this task, focusing empirically on the Swedish party system, which the originators of the cartel party theory have suggested is especially conducive to the formation of party cartels. Collecting new and unique qualitative and quantitative data, the volume casts serious doubt on the validity of the cartel party theory as an explanation for party system change.

This book explores weak convergence theory and empirical processes and their applications to many applications in statistics. Part one reviews stochastic convergence in its various forms. Part two offers the theory of empirical processes in a form accessible to statisticians and probabilists. Part three covers a range of topics demonstrating the applicability of the theory to key questions such as measures of goodness of fit and the bootstrap.

DISCOVER HOW LIFE REALLY WORKS - ON EARTH AND IN SPACE 'A wonderfully insightful sidelong look at Earthly biology' Richard Dawkins 'Crawls with curious facts' Sunday Times _________________________ We are unprepared for the greatest discovery of modern science. Scientists are confident that there is alien life across the universe yet we have not moved beyond our perception of 'aliens' as Hollywood stereotypes. The time has come to abandon our fixation on alien monsters and place our expectations on solid scientific footing. Using his own expert understanding of life on Earth and Darwin's theory of evolution - which applies throughout the universe - Cambridge zoologist Dr Arik Kershenbaum explains what alien life must be like. This is the story of how life really works, on Earth and in space. _________________________ 'An entertaining, eye-opening and, above all, a hopeful view of what - or who - might be out there in the cosmos' Philip Ball, author of Nature's Patterns 'A fascinating insight into the deepest of questions: what might an alien actually look like' Lewis Dartnell, author of Origins 'If you don't want to be surprised by extraterrestrial life, look no further than this lively overview of the laws of evolution that have produced life on earth' Frans de Waal, author of Mama's Last Hug

Do dynamic externalities, in the form of technology creation, adoption and spatial agglomeration shape the pattern of regional growth in Europe? This study provides an alternative view on regional convergence. A model is developed which attributes club-convergence to existing differences with respect to the degree of technology adoption. In the first instance, empirical results suggest that the NUTS-2 regions of the EU-27 converge at a very slow rate. Further tests, however, indicate that convergence is restricted to a specific subset of regions. Such conclusions are tested further, using an alternative model of club-convergence, which incorporates the impact of spatial interaction, agglomeration externalities and technology. This shows that the convergence-club in Europe follows a certain geographical pattern and all members share similar characteristics regarding technology creation and adoption, and agglomeration externalities. ​

Smart Cities and Artificial Intelligence offers a comprehensive view of how cities are evolving as smart ecosystems through the convergence of technologies incorporating machine learning and neural network capabilities, geospatial intelligence, data analytics and visualization, sensors, and smart connected objects. These recent advances in AI move us closer to developing urban operating systems that simulate human, machine, and environmental patterns from transportation infrastructure to communication networks. Exploring cities as real-time, living, dynamic systems, and providing tools and formats including generative design and living lab models that support cities to become self-regulating, this book provides readers with a conceptual and practical knowledge base to grasp and apply the key principles required in the planning, design, and operations of smart cities. Smart Cities and Artificial Intelligence brings a multidisciplinary, integrated approach, examining how the digital and physical worlds are converging, and how a new combination of human and machine intelligence is transforming the experience of the urban environment. It presents a fresh holistic understanding of smart cities through an interconnected stream of theory, planning and design methodologies, system architecture, and the application of smart city functions, with the ultimate purpose of making cities more liveable, sustainable, and self-sufficient.