This book first presents an overview of the history of a national character survey by the Institute of Statistical Mathematics that has been conducted for more than 65 years. The Japanese National Character Survey, launched in 1953, is a rare longitudinal survey in the world of survey research based on rigorous statistical sampling theory, motivating other countries to launch similar longitudinal surveys, including the General Social Survey (GSS), the Allgemeine Bevölkerungsumfrage der Sozialwissenschaften (ALLBUS, German General Social Survey (GGSS)), Eurobarometer, and others. Since the early 1970s, the Japanese survey has been extended as a cross-national survey for more advanced research of the Japanese national character in a comparative context. Second, the book explains the paradigm of cross-national studies called the Cultural Manifold Analysis (CULMAN), developed in the longitudinal and cross-national surveys, with practical examples of analysis. This explanation will help helps a wide range of readers to better understand the cross-national comparative surveys of attitudes, opinion, and social values as basic information for evidence-based policymaking and research.

This book focuses on the latest developments in behaviormetrics and data science, covering a wide range of topics in data analysis and related areas of data science, including analysis of complex data, analysis of qualitative data, methods for high-dimensional data, dimensionality reduction, visualization of such data, multivariate statistical methods, analysis of asymmetric relational data, and various applications to real data. In addition to theoretical and methodological results, it also shows how to apply the proposed methods to a variety of problems, for example in consumer behavior, decision making, marketing data, and social network structures. Moreover, it discuses methodological aspects and applications in a wide range of areas, such as behaviormetrics; behavioral science; psychology; and marketing, management and social sciences. Combining methodological advances with real-world applications collected from a variety of research fields, the book is a valuable resource for researchers and practitioners, as well as for applied statisticians and data analysts.

Trust is a hypothesis about future behavior that is certain enough to serve as a basis for practical conduct. Many contend that trust is one of society’s integrative forces. Identifying how entities trust is especially important work for social scientists.

The book includes proceedings of the conference “Business. Society. Human” (October 30–31, 2013, Moscow) organized by National Research University Higher School of Economics. The purpose of the conference: interdisciplinary analysis of actual problems of studying business in the social sciences: the relationship between business and society; social capital and trust; business and corporate culture; individual, group and organization in business; problems and prospects of business education and business consulting, etc. The book present the results of researches of trust and social capital carried out in various countries in Europe, Asia and in Russia. Authors are well-known sociologists, psychologists and economists. The results of these researches were presented at the conference. The papers are published as they were submitted by the author.

This book examines the digital transformation of identity in the age of artificial intelligence. It articulates the nature of identity of human beings, based on cutting-edge knowledge in the field of AI and big-data sciences, and discusses identity by drawing on comprehensive investigations in digital social sciences and exploring wider disciplines related to philosophy, ethics, sociology, STS, computer sciences, engineering, and medical sciences. Reviewing contemporary conditions proliferated by advanced technological trends and unveiling social mechanisms of human identity, this book appeals to undergraduate and graduate students as well as academic researchers.

Unmatched in originality, breadth, and scope, The Routledge History of Happiness features chapters that explore the history, anthropology, and psychology of happiness across the globe. Through a chronological approach that ranges from the Classical and Postclassical to the twenty-first century, this volume balances intellectual-history treatments and wider efforts to deal with relevant popular culture and experience, including consumerism. It explores how and why the history of happiness has emerged in recent decades, as well as psychological and social science approaches to happiness, with a history of how relevant psychological research has unfolded. Chapters examine early cultural traditions concerning happiness, including material on Buddhist and Chinese traditions, and how they continue to influence ideas about happiness in the present day. Overall, each section emphasises wide geographical coverage, with particular attention paid to East Asia, Latin America, Europe, Russia, and Africa. The Routledge History of Happiness is of great use to all undergraduates, postgraduates, and scholars interested in the global history of emotions.

This book first presents an overview of the history of a national character survey by the Institute of Statistical Mathematics that has been conducted for more than 65 years. The Japanese National Character Survey, launched in 1953, is a rare longitudinal survey in the world of survey research based on rigorous statistical sampling theory, motivating other countries to launch similar longitudinal surveys, including the General Social Survey (GSS), the Allgemeine Bevölkerungsumfrage der Sozialwissenschaften (ALLBUS, German General Social Survey (GGSS)), Eurobarometer, and others. Since the early 1970s, the Japanese survey has been extended as a cross-national survey for more advanced research of the Japanese national character in a comparative context. Second, the book explains the paradigm of cross-national studies called the Cultural Manifold Analysis (CULMAN), developed in the longitudinal and cross-national surveys, with practical examples of analysis. This explanation will help helps a wide range of readers to better understand the cross-national comparative surveys of attitudes, opinion, and social values as basic information for evidence-based policymaking and research.