This comparative empirical study of policing in the United States and France draws on the authors' ten years of field work to contend that the police in both countries should be thought about as an amalgam of five distinct professional cultures or 'intelligence regimes'-each of which can be found in any given police department in both the United States and France. In particular, we contend that what police do as knowledge workers and how they make sense of the social problems such as collective offending by juveniles varies with the professional subcommunities or 'intelligence regimes' in which their particular knowledge work is embedded. The same problem can be looked at in fundamentally different ways even within a single police department, depending on the intelligence regime through which the problem is refracted.

State Profiles 2021: The Population and Economy of Each U.S. State has been completely updated and provides a wealth of current, authoritative, and comprehensive data on key demographic and economic indicators for each U.S. state and the District of Columbia. Each state is covered by a compact standardized chapter that allows for easy comparisons and timely analysis between the states. A ten-page profile for each U.S. state plus the District of Columbia provides reliable, up-to-date information on a wide range of topics, including: population, labor force, income and poverty, government finances, crime, education, health insurance coverage, voting, marital status, migration, and more. If you want a single source of key demographic and economic data on each of the U.S. states, there is no other book like State Profiles. This book provides an overview of the U.S. economy which provides a framework for understanding the state information. State Profiles is primarily useful for public, school, and college and university libraries, as well as for economic and sociology departments. However, anyone needing state-level information including students, state officials, investors, economic analysts, and concerned citizens will find State Profiles wealth of data and analysis absolutely essential!

The Misuse, Misrepresentation, and Politicization of Statistics in American Society critically examines the early measurement efforts of several government agencies responsible for some of the most widely watched social indicators on unemployment, life expectancy, crime, and population. It argues that official statistics are dubious at best, not so much as objective barometers of social life but rather arbitrary, highly-politicized, socially-constructed metrics that are easily manipulable and subject to misuse and misinterpretation. The book argues that official statistics powerfully frame social reality, ultimately helping to determine who counts and what matters in society. It makes the case that, as with other types of official accounts, data derived from government sources needs to be regarded skeptically and systematically investigated. The book concludes that official statistics are a kind of sanctioned cover up of everyday reality, hiding the true extent of joblessness, distorting the real increase in life expectancy, obscuring where crime actually happens, and hiding the undeniable growth of minority populations behind a facade.

The book addresses major developments both to the academic enterprise internally and to the external environment which are changing the academic profession. The book brings together an international group of scholars who discuss different aspects of the professoriate and their working conditions in contemporary higher education systems.

This book presents the latest in decision-making tools, techniques, and solutions for policy makers to utilize in overcoming the challenges faced by healthcare systems. With contributions from experts world-wide, an array of healthcare management models, techniques, and integrative solutions are presented, drawing on econometric, system dynamics, and agent-based models as well as state-of-the-art empirical studies. As total healthcare spending (both total expenditures on health as a percentage of GDP and average spending on per capita) increases across most of the world's economies, healthcare systems continue to face challenges in terms of cost, quality, and access, as a result of its fragmented nature. Consequently, healthcare managers and policy makers require innovative integrative approaches and solutions to better manage complex, dynamic healthcare systems. This volume offers researchers and policy makers an insightful and critical review of the state of the art in healthcare modeling, with a particular focus on system dynamics, agent-based models, and modern empirical studies. It will be of interest to those in the fields of health, business management, and information systems.

This edited volume addresses the vast challenges of adapting Online Social Media (OSM) to developing research methods and applications. The topics cover generating realistic social network topologies, awareness of user activities, topic and trend generation, estimation of user attributes from their social content, behavior detection, mining social content for common trends, identifying and ranking social content sources, building friend-comprehension tools, and many others. Each of the ten chapters tackle one or more of these issues by proposing new analysis methods or new visualization techniques, or both, for famous OSM applications such as Twitter and Facebook. This collection of contributed chapters address these challenges. Online Social Media has become part of the daily lives of hundreds of millions of users generating an immense amount of 'social content'. Addressing the challenges that stem from this wide adaptation of OSM is what makes this book a valuable contribution to the field of social networks.

This book describes official statistics as a tool to hold up a mirror to society - but also as an instrument for those who can manipulate this mirror. It addresses the precarious interaction of politics, official statistics, and ethical principles. Three sets of themes can be derived from this relationship, which are the focus of this book: Political systems and guiding principles, official statistics as a science of the state, and ethical issues arising from them. Ultimately, the determining factor is the political system that exists in each case. The book contains eleven chapters. The first three focus on the key concepts of the book: power and morality, official statistics and policy making, and ethical principles for statistical work. Three further chapters focus on episodes that illustrate, as "drastic" examples, the misuse of official statistics over the past hundred years, covering the situation in the Soviet Union, the Third Reich and Greece. The remaining five chapters take up current topics that pose particular challenges to official statistics. These are the phenomena paraphrased by digitalisation, globalisation, happiness research, overpopulation, migration, the Covid-19 pandemic and climate change. The book is primarily aimed at statisticians working in national and international statistical institutions, but also at readers interested in statistics, national accounts, economic and statistics history, and ethical issues.

This book brings together a diverse, international array of contributors to explore the topics of news "quality" in the online age and the relationships between news organizations and enormously influential digital platforms such as Facebook, Google, and Twitter. Covering topics ranging from internet incivility, crowdsourcing, and YouTube politics to regulations, algorithms, and AI, this book draws the key distinction between the news that facilitates democracy from news that undermines it. For students and scholars as well as journalists, policymakers, and media commentators, this important work engages a wide range of methodological and theoretical perspectives to define the key concept of "quality" in the news media.

This book brings together a diverse, international array of contributors to explore the topics of news "quality" in the online age and the relationships between news organizations and enormously influential digital platforms such as Facebook, Google, and Twitter. Covering topics ranging from internet incivility, crowdsourcing, and YouTube politics to regulations, algorithms, and AI, this book draws the key distinction between the news that facilitates democracy from news that undermines it. For students and scholars as well as journalists, policymakers, and media commentators, this important work engages a wide range of methodological and theoretical perspectives to define the key concept of "quality" in the news media.

Decision-makers at all levels are being confronted with novel complexities and uncertainties and face long-term challenges which require foresight about long-term future prospects, assumptions, and strategies. This book explores how foresight studies can be systematically undertaken and used in this context. It explicates why and how methods like horizon scanning, scenario planning, and roadmapping should be applied when dealing with high levels of uncertainty. The scope of the book moves beyond "narrow" technology foresight, towards addressing systemic interrelations between social, technological, economic, environmental, and political systems. Applications of foresight tools to such fields as energy, cities, health, transportation, education, and sustainability are considered as well as enabling technologies including nano-, bio-, and information technologies and cognitive sciences. The approaches will be illustrated with specific actual cases.

Approaches and methods in comparative education are of obvious importance, but do not always receive adequate attention. This second edition of a well-received book, containing thoroughly updated and additional material, contributes new insights within the longstanding traditions of the field. A particular feature is the focus on different units of analysis. Individual chapters compare places, systems, times, cultures, values, policies, curricula and other units. These chapters are contextualised within broader analytical frameworks which identify the purposes and strengths of the field. The book includes a focus on intra-national as well as cross-national comparisons, and highlights the value of approaching themes from different angles. As already demonstrated by the first edition of the book, the work will be of great value not only to producers of comparative education research but also to users who wish to understand more thoroughly the parameters and value of the field.

This book emphasizes that artificial or pseudo-populations play an important role in statistical surveys from finite universes in two manners: firstly, the concept of pseudo-populations may substantially improve users' understanding of various aspects in the sampling theory and survey methodology; an example of this scenario is the Horvitz-Thompson estimator. Secondly, statistical procedures exist in which pseudo-populations actually have to be generated. An example of such a scenario can be found in simulation studies in the field of survey sampling, where close-to-reality pseudo-populations are generated from known sample and population data to form the basis for the simulation process. The chapters focus on estimation methods, sampling techniques, nonresponse, questioning designs and statistical disclosure control. This book is a valuable reference in understanding the importance of the pseudo-population concept and applying it in teaching and research.

More-than-Human Sociology is a call for a bolder, more creative sociology. Olli Pyyhtinen argues that to make sociology responsive to life in the 21st century we need a new sociological imagination, one that addresses connectivity, understands the world in which we live as both a human and non-human world, and is sensitive to the multiple scales on which things exist. A fresh and innovative take on the promise of sociology, this book will appeal to scholars and students both within sociology and the social sciences more broadly.

This book presents a duoethnographic exploration and narrative account of what it means to be a teacher educator today. Adopting a narrative approach, the book presents different personal, political and institutional perspectives to interrogate common challenges facing teacher education and teacher educators today. In addition, the book compares and contrasts the teacher education landscapes in Australia and the UK and addresses a broad range of topics, including the autobiographical nature of teacher educators' work, the value of learning from experience, the importance of collegiality and collaboration in learning to become a teacher educator, and the intersection of the personal, professional and political in the development of teacher educator pedagogies and research agendas. Each chapter combines personal narratives and research-based perspectives on the key dimensions of teacher educators' work that can be found in the literature, including self-study research. Readers will gain a better understanding of the processes, influences and relationships that make being a teacher educator both a challenging and rewarding career. Accordingly, the book offers a valuable asset for university leaders, experienced and beginning teacher educators, and researchers interested in the professional learning and development of teacher educators.

This book provides a general introduction to Sequential Monte Carlo (SMC) methods, also known as particle filters. These methods have become a staple for the sequential analysis of data in such diverse fields as signal processing, epidemiology, machine learning, population ecology, quantitative finance, and robotics. The coverage is comprehensive, ranging from the underlying theory to computational implementation, methodology, and diverse applications in various areas of science. This is achieved by describing SMC algorithms as particular cases of a general framework, which involves concepts such as Feynman-Kac distributions, and tools such as importance sampling and resampling. This general framework is used consistently throughout the book. Extensive coverage is provided on sequential learning (filtering, smoothing) of state-space (hidden Markov) models, as this remains an important application of SMC methods. More recent applications, such as parameter estimation of these models (through e.g. particle Markov chain Monte Carlo techniques) and the simulation of challenging probability distributions (in e.g. Bayesian inference or rare-event problems), are also discussed. The book may be used either as a graduate text on Sequential Monte Carlo methods and state-space modeling, or as a general reference work on the area. Each chapter includes a set of exercises for self-study, a comprehensive bibliography, and a "Python corner," which discusses the practical implementation of the methods covered. In addition, the book comes with an open source Python library, which implements all the algorithms described in the book, and contains all the programs that were used to perform the numerical experiments.

Methodological Concepts: A Critical Guide clarifies many key terms and issues in social research methodology. It outlines the conventional meanings of these terms, but also addresses their contentious character. The aim is to offer interpretations of them that provide a coherent conception of the nature of social science. This book is premised on the idea that more clarity about the meaning of major methodological concepts is essential, and that the disagreements which pervade the field must be addressed. Numerous key terms are discussed across 13 chapters, including 'methodology', 'method', 'inquiry', 'research', 'science', 'truth', 'fact', 'rigour', 'bias', 'objectivity', 'data', 'evidence', 'induction', 'deduction', 'abduction', 'understanding', 'explanation', 'reflexivity', 'triangulation', 'theory', and 'researcher integrity'. These concepts have been implicated in fundamental divisions among social scientists, exemplified by the 'paradigm wars' of the past few decades. The chapters of this book provide an overview of the various meanings given to these terms, whilst also offering distinctive interpretations designed to provide a sound basis for social research. Methodological Concepts: A Critical Guide will be of great use to any student or researcher working in the social sciences.

This book reconsiders statistical methods from the point of view of entropy, and introduces entropy-based approaches for data analysis. Further, it interprets basic statistical methods, such as the chi-square statistic, t-statistic, F-statistic and the maximum likelihood estimation in the context of entropy. In terms of categorical data analysis, the book discusses the entropy correlation coefficient (ECC) and the entropy coefficient of determination (ECD) for measuring association and/or predictive powers in association models, and generalized linear models (GLMs). Through association and GLM frameworks, it also describes ECC and ECD in correlation and regression analyses for continuous random variables. In multivariate statistical analysis, canonical correlation analysis, T2-statistic, and discriminant analysis are discussed in terms of entropy. Moreover, the book explores the efficiency of test procedures in statistical tests of hypotheses using entropy. Lastly, it presents an entropy-based path analysis for structural GLMs, which is applied in factor analysis and latent structure models. Entropy is an important concept for dealing with the uncertainty of systems of random variables and can be applied in statistical methodologies. This book motivates readers, especially young researchers, to address the challenge of new approaches to statistical data analysis and behavior-metric studies.

A prospective future of ecological and economic crises poses a challenge to the utopian imaginary, to conceive a better world, and alternative future. Utopia as Method does not construe utopia as a goal or blueprint, but as a holistic, reflexive method for developing what those possible futures might be. It begins by treating utopia as the quest for grace, through a hermeneutics that recovers the utopian meaning in our culture, explored through colour and music. Moving from the existential to the social, it draws on H. G. Wells's claim that the creation of utopias is the distinctive and proper method of sociology, and on the tentative reappearance of utopia in contemporary social theory. It proposes a constructive method, the Imaginary Reconstitution of Society. This fusion of explicitly normative social theory and analytic critique rehabilitates utopia as an integral part of sociology, and offers a means of collective engagement in shaping a better tomorrow.

This book focuses on the emotional hazards of conducting fieldwork about or within contexts of violence and provides a forum for field-based researchers to tell their stories. Increasingly novice and seasoned ethnographers alike, whether by choice or chance, are working in situations where multidimensional forms of violence, conflict and war are facets of everyday life. The volume engages with the methodological and ethical issues involved and features a range of expressive writings that reveal personal consequences and dilemmas. The contributors use their emotions, their scars, outrage and sadness alongside their hopes and resilience to give voice to that which is often silenced, to make visible the entanglements of fieldwork and its lingering vulnerabilities. The book brings to the fore the lived experiences of researchers and their interlocutors alike with the hope of fostering communities of care. It will be valuable reading for anthropologists and those from other disciplines who are embarking on ethnographic fieldwork and conducting qualitative empirical research.

This book explores the use of technology to detect, predict and understand social cues, in order to analyze and prevent conflict. Traditional human sciences approaches are enriched with the latest developments in Social Signal Processing aimed at an automatic understanding of conflict and negotiation. Communication-both verbal and non-verbal, within the context of a conflict-is studied with the aim of promoting the use of intelligent machines that automatically measure and understand the escalation of conflict, and are able to manage it, in order to support the negotiation process. Particular attention is paid to the integration of human sciences findings with computational approaches, from the application of correct methodologies for the collection of valid data to the development of computational approaches inspired by research on verbal and multimodal communication. In the words of the trade unionist Pierre Carniti, "We should reevaluate conflict, since without conflict there is no social justice." With this in mind, this volume does not approach conflict simply as an obstacle to be overcome, but as a concept to be fully analyzed. The philosophical, linguistic and psychological aspects of conflict, once understood, can be used to promote conflict management as a means for change and social justice.

In April 2010 Europe was shocked by the Greek financial turmoil. At that time, the global financial crisis, which started in the summer of 2007 and reached systemic dimensions in September 2008 with the Lehman Brothers' crash, took a new course. An adverse feedback loop between sovereign and bank risks reflected into bubble-like spreads, as if financial markets had received a wake-up call concerning the disregarded structural vulnerability of economies at risk. These events inspired the SYRTO project to "think and rethink" the economic and financial system and to conceive it as an "ensemble" of Sovereigns and Banks with other Financial Intermediaries and Corporations. Systemic Risk Tomography: Signals, Measurement and Transmission Channels proposes a novel way to explore the financial system by sectioning each part of it and analyzing all relevant inter-relationships. The financial system is inspected as a biological entity to identify the main risk signals and to provide the correct measures of prevention and intervention.

This book celebrates the contributions of John Weidman and his colleagues to the understanding of student socialization in higher education. It includes innovative chapters reflecting new approaches to higher education student socialization with respect to students of color, gender, STEM, and students in higher education systems outside the USA. Specifically, the book examines socialization between and within in a range of groups, including national, international and minority students, parents, doctoral students, early career faculty, and scholarly practitioners. The book assesses methodological approaches and suggests directions for reformulating theory and practice. Using sociological perspectives to address issues and concerns at both the undergraduate and graduate levels, the book gives renewed life to the college impact literature. It includes revisions and expansions of the original Weidman frameworks based on the synthesis of existing research with new work reflecting unique perspectives by a variety of authors. John Weidman has been an indisputable force in the study and understanding of student socialization in higher education. This new book by Weidman and his coeditor, Linda DeAngelo, represents an undeniably significant and welcomed expansion of the original "Weidman model" of student socialization. In updating and revising the original model, chapter authors give attention to various contemporary issues such as student diversity, gender differences, early career experiences, and internationalism. Whether one samples only some of the articles that constitute this book or reads all of them, the professional payoff will be substantial. Kenneth A. Feldman, Professor of Sociology, Stony Brook University John Weidman has made a number of groundbreaking contributions to our understanding of student socialization in postsecondary education. This book, edited with Linda DeAngelo, brings together a group of fine scholars whose contributions will push our understanding even further. It is a significant addition to the college impact literature. Ernest T. Pascarella, Petersen Chair in Higher Education, University of Iowa

This book highlights the latest research findings from the 46th International Meeting of the Italian Statistical Society (SIS) in Rome, during which both methodological and applied statistical research was discussed. This selection of fully peer-reviewed papers, originally presented at the meeting, addresses a broad range of topics, including the theory of statistical inference; data mining and multivariate statistical analysis; survey methodologies; analysis of social, demographic and health data; and economic statistics and econometrics.