A concise, easily accessible introduction to descriptive and inferential techniques Statistical Inference: A Short Course offers a concise presentation of the essentials of basic statistics for readers seeking to acquire a working knowledge of statistical concepts, measures, and procedures. The author conducts tests on the assumption of randomness and normality, provides nonparametric methods when parametric approaches might not work. The book also explores how to determine a confidence interval for a population median while also providing coverage of ratio estimation, randomness, and causality. To ensure a thorough understanding of all key concepts, Statistical Inference provides numerous examples and solutions along with complete and precise answers to many fundamental questions, including: How do we determine that a given dataset is actually a random sample? With what level of precision and reliability can a population sample be estimated? How are probabilities determined and are they the same thing as odds? How can we predict the level of one variable from that of another? What is the strength of the relationship between two variables? The book is organized to present fundamental statistical concepts first, with later chapters exploring more advanced topics and additional statistical tests such as Distributional Hypotheses, Multinomial Chi-Square Statistics, and the Chi-Square Distribution. Each chapter includes appendices and exercises, allowing readers to test their comprehension of the presented material. Statistical Inference: A Short Course is an excellent book for courses on probability, mathematical statistics, and statistical inference at the upper-undergraduate and graduate levels. The book also serves as a valuable reference for researchers and practitioners who would like to develop further insights into essential statistical tools.
In Mathematical Analysis and Optimization for Economists, the author aims to introduce students of economics to the power and versatility of traditional as well as contemporary methodologies in mathematics and optimization theory; and, illustrates how these techniques can be applied in solving microeconomic problems. This book combines the areas of intermediate to advanced mathematics, optimization, and microeconomic decision making, and is suitable for advanced undergraduates and first-year graduate students. This text is highly readable, with all concepts fully defined, and contains numerous detailed example problems in both mathematics and microeconomic applications. Each section contains some standard, as well as more thoughtful and challenging, exercises. Solutions can be downloaded from the CRC Press website. All solutions are detailed and complete. Features Contains a whole spectrum of modern applicable mathematical techniques, many of which are not found in other books of this type. Comprehensive and contains numerous and detailed example problems in both mathematics and economic analysis. Suitable for economists and economics students with only a minimal mathematical background. Classroom-tested over the years when the author was actively teaching at the University of Hartford. Serves as a beginner text in optimization for applied mathematics students. Accompanied by several electronic chapters on linear algebra and matrix theory, nonsmooth optimization, economic efficiency, and distance functions available for free on www.routledge.com/9780367759018.
Regression Modeling: Methods, Theory, and Computation with SAS provides an introduction to a diverse assortment of regression techniques using SAS to solve a wide variety of regression problems. The author fully documents the SAS programs and thoroughly explains the output produced by the programs.The text presents the popular ordinary least square
Guides in the application of linear programming to firm decision making, with the goal of giving decision-makers a better understanding of methods at their disposal Useful as a main resource or as a supplement in an economics or management science course, this comprehensive book addresses the deficiencies of other texts when it comes to covering linear programming theory—especially where data envelopment analysis (DEA) is concerned—and provides the foundation for the development of DEA. Linear Programming and Resource Allocation Modeling begins by introducing primal and dual problems via an optimum product mix problem, and reviews the rudiments of vector and matrix operations. It then goes on to cover: the canonical and standard forms of a linear programming problem; the computational aspects of linear programming; variations of the standard simplex theme; duality theory; single- and multiple- process production functions; sensitivity analysis of the optimal solution; structural changes; and parametric programming. The primal and dual problems are then reformulated and re-examined in the context of Lagrangian saddle points, and a host of duality and complementary slackness theorems are offered. The book also covers primal and dual quadratic programs, the complementary pivot method, primal and dual linear fractional functional programs, and (matrix) game theory solutions via linear programming, and data envelopment analysis (DEA). This book: Appeals to those wishing to solve linear optimization problems in areas such as economics, business administration and management, agriculture and energy, strategic planning, public decision making, and health care Fills the need for a linear programming applications component in a management science or economics course Provides a complete treatment of linear programming as applied to activity selection and usage Contains many detailed example problems as well as textual and graphical explanations Linear Programming and Resource Allocation Modeling is an excellent resource for professionals looking to solve linear optimization problems, and advanced undergraduate to beginning graduate level management science or economics students.
Features recent trends and advances in the theory and techniques used to accurately measure and model growth Growth Curve Modeling: Theory and Applications features an accessible introduction to growth curve modeling and addresses how to monitor the change in variables over time since there is no “one size fits all” approach to growth measurement. A review of the requisite mathematics for growth modeling and the statistical techniques needed for estimating growth models are provided, and an overview of popular growth curves, such as linear, logarithmic, reciprocal, logistic, Gompertz, Weibull, negative exponential, and log-logistic, among others, is included. In addition, the book discusses key application areas including economic, plant, population, forest, and firm growth and is suitable as a resource for assessing recent growth modeling trends in the medical field. SAS® is utilized throughout to analyze and model growth curves, aiding readers in estimating specialized growth rates and curves. Including derivations of virtually all of the major growth curves and models, Growth Curve Modeling: Theory and Applications also features: • Statistical distribution analysis as it pertains to growth modeling • Trend estimations • Dynamic site equations obtained from growth models • Nonlinear regression • Yield-density curves • Nonlinear mixed effects models for repeated measurements data Growth Curve Modeling: Theory and Applications is an excellent resource for statisticians, public health analysts, biologists, botanists, economists, and demographers who require a modern review of statistical methods for modeling growth curves and analyzing longitudinal data. The book is also useful for upper-undergraduate and graduate courses on growth modeling.
A well-balanced and accessible introduction to the elementary quantitative methods and Microsoft® Office Excel® applications used to guide business decision making Featuring quantitative techniques essential for modeling modern business situations, Introduction to Quantitative Methods in Business: With Applications Using Microsoft® Office Excel® provides guidance to assessing real-world data sets using Excel. The book presents a balanced approach to the mathematical tools and techniques with applications used in the areas of business, finance, economics, marketing, and operations. The authors begin by establishing a solid foundation of basic mathematics and statistics before moving on to more advanced concepts. The first part of the book starts by developing basic quantitative techniques such as arithmetic operations, functions and graphs, and elementary differentiations (rates of change), and integration. After a review of these techniques, the second part details both linear and nonlinear models of business activity. Extensively classroom-tested, Introduction to Quantitative Methods in Business: With Applications Using Microsoft® Office Excel® also includes: Numerous examples and practice problems that emphasize real-world business quantitative techniques and applications Excel-based computer software routines that explore calculations for an assortment of tasks, including graphing, formula usage, solving equations, and data analysis End-of-chapter sections detailing the Excel applications and techniques used to address data and solutions using large data sets A companion website that includes chapter summaries, Excel data sets, sample exams and quizzes, lecture slides, and an Instructors’ Solutions Manual Introduction to Quantitative Methods in Business: With Applications Using Microsoft® Office Excel® is an excellent textbook for undergraduate-level courses on quantitative methods in business, economics, finance, marketing, operations, and statistics. The book is also an ideal reference for readers with little or no quantitative background who require a better understanding of basic mathematical and statistical concepts used in economics and business. Bharat Kolluri, Ph.D., is Professor of Economics in the Department of Economics, Finance, and Insurance at the University of Hartford. A member of the American Economics Association, his research interests include econometrics, business statistics, quantitative decision making, applied macroeconomics, applied microeconomics, and corporate finance. Michael J. Panik, Ph.D., is Professor Emeritus in the Department of Economics, Finance, and Insurance at the University of Hartford. He has served as a consultant to the Connecticut Department of Motor Vehicles as well as to a variety of health care organizations. In addition, Dr. Panik is the author of numerous books, including Growth Curve Modeling: Theory and Applications and Statistical Inference: A Short Course, both published by Wiley. Rao N. Singamsetti, Ph.D., is Associate Professor in the Department of Economics, Finance, and Insurance at the University of Hartford. A member of the American Economics Association, his research interests include the status of war on poverty in the United States since the 1960s and forecasting foreign exchange rates using econometric methods.
Advanced Statistics from an Elementary Point of View is a highly readable text that communicates the content of a course in mathematical statistics without imposing too much rigor. It clearly emphasizes the connection between statistics and probability, and helps students concentrate on statistical strategies without being overwhelmed by calculations. The book provides comprehensive coverage of descriptive statistics; detailed treatment of univariate and bivariate probability distributions; and thorough coverage of probability theory with numerous event classifications. This book is designed for statistics majors who are already familiar with introductory calculus and statistics, and can be used in either a one- or two-semester course. It can also serve as a statistics tutorial or review for working professionals. Students who use this book will be well on their way to thinking like a statistician in terms of problem solving and decision-making. Graduates who pursue careers in statistics will continue to find this book useful, due to numerous statistical test procedures (both parametric and non-parametric) and detailed examples. - Comprehensive coverage of descriptive statistics - More detailed treatment of univariate and bivariate probability distributions - Thorough coverage of probability theory with numerous event classifications
A beginner’s guide to stochastic growth modeling The chief advantage of stochastic growth models over deterministic models is that they combine both deterministic and stochastic elements of dynamic behaviors, such as weather, natural disasters, market fluctuations, and epidemics. This makes stochastic modeling a powerful tool in the hands of practitioners in fields for which population growth is a critical determinant of outcomes. However, the background requirements for studying SDEs can be daunting for those who lack the rigorous course of study received by math majors. Designed to be accessible to readers who have had only a few courses in calculus and statistics, this book offers a comprehensive review of the mathematical essentials needed to understand and apply stochastic growth models. In addition, the book describes deterministic and stochastic applications of population growth models including logistic, generalized logistic, Gompertz, negative exponential, and linear. Ideal for students and professionals in an array of fields including economics, population studies, environmental sciences, epidemiology, engineering, finance, and the biological sciences, Stochastic Differential Equations: An Introduction with Applications in Population Dynamics Modeling: • Provides precise definitions of many important terms and concepts and provides many solved example problems • Highlights the interpretation of results and does not rely on a theorem-proof approach • Features comprehensive chapters addressing any background deficiencies readers may have and offers a comprehensive review for those who need a mathematics refresher • Emphasizes solution techniques for SDEs and their practical application to the development of stochastic population models An indispensable resource for students and practitioners with limited exposure to mathematics and statistics, Stochastic Differential Equations: An Introduction with Applications in Population Dynamics Modeling is an excellent fit for advanced undergraduates and beginning graduate students, as well as practitioners who need a gentle introduction to SDEs. Michael J. Panik, PhD, is Professor in the Department of Economics, Barney School of Business and Public Administration at the University of Hartford in Connecticut. He received his PhD in Economics from Boston College and is a member of the American Mathematical Society, The American Statistical Association, and The Econometric Society.
Guides in the application of linear programming to firm decision making, with the goal of giving decision-makers a better understanding of methods at their disposal Useful as a main resource or as a supplement in an economics or management science course, this comprehensive book addresses the deficiencies of other texts when it comes to covering linear programming theory—especially where data envelopment analysis (DEA) is concerned—and provides the foundation for the development of DEA. Linear Programming and Resource Allocation Modeling begins by introducing primal and dual problems via an optimum product mix problem, and reviews the rudiments of vector and matrix operations. It then goes on to cover: the canonical and standard forms of a linear programming problem; the computational aspects of linear programming; variations of the standard simplex theme; duality theory; single- and multiple- process production functions; sensitivity analysis of the optimal solution; structural changes; and parametric programming. The primal and dual problems are then reformulated and re-examined in the context of Lagrangian saddle points, and a host of duality and complementary slackness theorems are offered. The book also covers primal and dual quadratic programs, the complementary pivot method, primal and dual linear fractional functional programs, and (matrix) game theory solutions via linear programming, and data envelopment analysis (DEA). This book: Appeals to those wishing to solve linear optimization problems in areas such as economics, business administration and management, agriculture and energy, strategic planning, public decision making, and health care Fills the need for a linear programming applications component in a management science or economics course Provides a complete treatment of linear programming as applied to activity selection and usage Contains many detailed example problems as well as textual and graphical explanations Linear Programming and Resource Allocation Modeling is an excellent resource for professionals looking to solve linear optimization problems, and advanced undergraduate to beginning graduate level management science or economics students.
Advanced Statistics from an Elementary Point of View is a highly readable text that communicates the content of a course in mathematical statistics without imposing too much rigor. It clearly emphasizes the connection between statistics and probability, and helps students concentrate on statistical strategies without being overwhelmed by calculations. The book provides comprehensive coverage of descriptive statistics; detailed treatment of univariate and bivariate probability distributions; and thorough coverage of probability theory with numerous event classifications. This book is designed for statistics majors who are already familiar with introductory calculus and statistics, and can be used in either a one- or two-semester course. It can also serve as a statistics tutorial or review for working professionals. Students who use this book will be well on their way to thinking like a statistician in terms of problem solving and decision-making. Graduates who pursue careers in statistics will continue to find this book useful, due to numerous statistical test procedures (both parametric and non-parametric) and detailed examples. - Comprehensive coverage of descriptive statistics - More detailed treatment of univariate and bivariate probability distributions - Thorough coverage of probability theory with numerous event classifications
Beerus ist eine Sammlung von Geschichten aus einer Welt, deren Grenzen unsere Wahrnehmung sprengen. Beerus ist ein Werk, das dokumentiert, aufweckt und zeigt, was sich unter uns bewegt. Beerus ist ein Mysterium, dessen Fragmente erst nach und nach an die Oberfläche treten. Beerus ist ein Versprechen. Beerus ist der Beginn einer Geschichte über Schicksale, die sich in ein riesiges Flechtwerk einfügen, dessen Fäden in die tiefen unserer Vergangenheit eindringen...und ein Beispiel dafür, wie unwichtig der einzelne Mensch dafür ist. Beerus ist der Anfang vom Ende.
This book examines how style and intersubjective meanings emerge through language use. It is innovative in theoretical scope and empirical focus. It brings together insights from discourse-functional linguistics, stylistics, and conversation analysis to understand how language resources are used to enact stances in intersubjective space. While there are numerous studies devoted to youth language, the focus has been mainly on face-to-face interaction. Other types of youth interaction, particularly in mediated forms, have received little attention. This book draws on data from four different text types - conversation, e-forums, comics, and teen fiction - to highlight the multidirectional nature of style construction. Indonesia provides a rich context for the study of style and intersubjectivity among youth. In constructing style, Indonesian urban youth have been moving away from conventions which emphasized hierarchy and uniformity toward new ways of connecting in intersubjective space. This book analyzes how these new ways are realized in different text types. This book makes a valuable addition to sociolinguistic literature on youth and language and an essential reading for those interested in Austronesian sociolinguistics.
Emergencies are extreme events which threaten to cause massive disruption to society and negatively affect the physical and psychological well-being of its members. They raise important practical and theoretical questions about how we should treat each other in times of ’crisis’. The articles selected for this volume focus on the nature and significance of emergencies; ethical issues in emergency public policy and law; war, terrorism and supreme emergencies; and public health and humanitarian emergencies. Together they demonstrate the normative implications of emergencies and provide multi-disciplinary perspectives on the ethics of emergency response.
This book examines the relationship between the middle class and the welfare state. Taking an interpretive approach which understands the middle class as a socially constructed category, it combines discourse analysis, welfare state theory, and interpretive policy analysis in an innovative way to investigate how the middle class becomes a meaningful object of public debates and policymaking. Comparing Germany, Sweden, and the United Kingdom, the book reconstructs the prevalent images and meanings of the middle class from each country’s public debates and tracks how the middle classes with their various meanings and characteristics are entangled with the identification of societal problems, the articulation of political demands, and the construction of welfare policies. Ultimately, it shows how the formation and consolidation of different welfare regimes can be interpreted as specific ways of solving the puzzle of how to incorporate the middle class in the construction of a welfare state consensus. This book will be of key interest to scholars and students of comparative welfare state research, policy analysis, political sociology, political theory, and European and comparative politics.
These essays rethink the nature of Stalinism and Nazism and establish a new methodology for viewing their histories that goes well beyond outdated twentieth-century models of totalitarianism, ideology, and personality. They offer a new understanding of the intertwined trajectories of socialism and nationalism in European and global history.
The Philippines series of the PALI Language Texts, under the general editorship of Howard P. McKaughan, consists of lesson textbooks, grammars, and dictionaries for seven major Filipino languages.
Features recent trends and advances in the theory and techniques used to accurately measure and model growth Growth Curve Modeling: Theory and Applications features an accessible introduction to growth curve modeling and addresses how to monitor the change in variables over time since there is no “one size fits all” approach to growth measurement. A review of the requisite mathematics for growth modeling and the statistical techniques needed for estimating growth models are provided, and an overview of popular growth curves, such as linear, logarithmic, reciprocal, logistic, Gompertz, Weibull, negative exponential, and log-logistic, among others, is included. In addition, the book discusses key application areas including economic, plant, population, forest, and firm growth and is suitable as a resource for assessing recent growth modeling trends in the medical field. SAS® is utilized throughout to analyze and model growth curves, aiding readers in estimating specialized growth rates and curves. Including derivations of virtually all of the major growth curves and models, Growth Curve Modeling: Theory and Applications also features: • Statistical distribution analysis as it pertains to growth modeling • Trend estimations • Dynamic site equations obtained from growth models • Nonlinear regression • Yield-density curves • Nonlinear mixed effects models for repeated measurements data Growth Curve Modeling: Theory and Applications is an excellent resource for statisticians, public health analysts, biologists, botanists, economists, and demographers who require a modern review of statistical methods for modeling growth curves and analyzing longitudinal data. The book is also useful for upper-undergraduate and graduate courses on growth modeling.
In the spring of 1933, German society was deeply divided – in the Reichstag elections on 5 March, only a small percentage voted for Hitler. Yet, once he seized power, his creation of a socially inclusive Volksgemeinschaft, promising equality, economic prosperity and the restoration of honor and pride after the humiliating ending of World War I persuaded many Germans to support him and to shut their eyes to dictatorial coercion, concentration camps, secret state police, and the exclusion of large sections of the population. The author argues however, that the everyday practice of exclusion changed German society itself: bureaucratic discrimination and violent anti-Jewish actions destroyed the civil and constitutional order and transformed the German nation into an aggressive and racist society. Based on rich source material, this book offers one of the most comprehensive accounts of this transformation as it traces continuities and discontinuities and the replacement of a legal order with a violent one, the extent of which may not have been intended by those involved.
Since I started working in the area of nonlinear programming and, later on, variational inequality problems, I have frequently been surprised to find that many algorithms, however scattered in numerous journals, monographs and books, and described rather differently, are closely related to each other. This book is meant to help the reader understand and relate algorithms to each other in some intuitive fashion, and represents, in this respect, a consolidation of the field. The framework of algorithms presented in this book is called Cost Approxi mation. (The preface of the Ph.D. thesis [Pat93d] explains the background to the work that lead to the thesis, and ultimately to this book.) It describes, for a given formulation of a variational inequality or nonlinear programming problem, an algorithm by means of approximating mappings and problems, a principle for the update of the iteration points, and a merit function which guides and monitors the convergence of the algorithm. One purpose of this book is to offer this framework as an intuitively appeal ing tool for describing an algorithm. One of the advantages of the framework, or any reasonable framework for that matter, is that two algorithms may be easily related and compared through its use. This framework is particular in that it covers a vast number of methods, while still being fairly detailed; the level of abstraction is in fact the same as that of the original problem statement.
The book discusses a new approach to the classification problem following the decision support orientation of multicriteria decision aid. The book reviews the existing research on the development of classification methods, investigating the corresponding model development procedures, and providing a thorough analysis of their performance both in experimental situations and real-world problems from the field of finance. Audience: Researchers and professionals working in management science, decision analysis, operations research, financial/banking analysis, economics, statistics, computer science, as well as graduate students in management science and operations research.
The Siberian Yupik people have endured centuries of change and repression, starting with the Russian Cossacks in 1648 and extending into recent years. The twentieth century brought especially formidable challenges, including forced relocation by Russian authorities and a Cold War “ice curtain” that cut off the Yupik people on the mainland region of Chukotka from those on St. Lawrence Island. Yet throughout all this, the Yupik have managed to maintain their culture and identity. Igor Krupnik and Michael Chlenov spent more than thirty years studying this resilience through original fieldwork. In Yupik Transitions, they present a compelling portrait of a tenacious people and place in transition—an essential portrait as the fast pace of the newest century threatens to erase their way of life forever.
Simulations have been a fixture of aviation training for many years. Advances in simulator technology now enable modern flight simulation to mimic very closely the look and feel of real world flight operations. In spite of this, responsible researchers, trainers, and simulation developers should look beyond mere simulator fidelity to produce meaningful training outcomes. Optimal simulation training development can unquestionably benefit from knowledge and understanding of past, present, and future research in this topic area. As a result, this volume of key writings is invaluable as a reference, to help guide exploration of critical research in the field. By providing a mix of classic articles that stand the test of time, and recent writings that illuminate current issues, this volume informs a broad range of topics relevant to simulation training in aviation.
A firsthand account of the studio sessions for the fastest selling 12" single ever, 'Blue Monday', New Order's classic dance track, and Power, Corruption and Lies, their acclaimed second album. Compiled from the diary/journals of Michael Butterworth, the trusted friend of New Order who lived and worked with the band throughout the recording sessions. Three decades on, author Michael Butterworth breaks the silence to reveal exactly what went into the recording of this classic track, as well as the Power, Corruption and Lies album. Drawn from Butterworth's meticulous journal entries, Blue Monday provides a uniquely personal insight into the creative personalities of the band.
The motor vehicle technology covered in this book has become in the more than 125 years of its history in many aspects an extremely complex and, in many areas of engineering science . Motor vehicles must remain functional under harsh environmental conditions and extreme continuous loads and must also be reliably brought into a safe state even in the event of a failure by a few trained operators. The automobile is at the same time a mass product, which must be produced in millions of pieces and at extremely low cost. In addition to the fundamentals of current vehicle systems, the book also provides an overview of future developments such as, for example, in the areas of electromobility, alternative drives and driver assistance systems. The basis for the book is a series of lectures on automotive engineering, which has been offered by the first-named author at the University of Duisburg-Essen for many years. Starting from classical systems in the automobile, the reader is given a systemic view of modern motor vehicles. In addition to the pure basic function, the modeling of individual (sub-) systems is also discussed. This gives the reader a deep understanding of the underlying principles. In addition, the book with the given models provides a basis for the practical application in the area of simulation technology and thus achieves a clear added value against books, which merely explain the function of a system without entering into the modeling. On the basis of today's vehicle systems we will continue to look at current and future systems. In addition to the state-of-the-art, the reader is thus taught which topics are currently dominant in research and which developments can be expected for the future. In particular, a large number of practical examples are provided directly from the vehicle industry. Especially for students of vehicle-oriented study courses and lectures, the book thus enables an optimal preparation for possible future fields of activity.
Lucian Blaga was an early twentieth-century European philosopher whose work was suppressed at the height of his career by the creation of the Romanian Socialist Republic. Blaga's philosophical writings are rich and creative, spanning metaphysics, epistemology, philosophy of science, philosophical anthropology, aesthetics, philosophy of culture, philosophy of history, and philosophy of religion. Mircea Eliade wrote that Blaga was the most gifted and critical original thinker in the history of Romanian philosophy. Because of historical circumstances, Blaga's philosophy has not become known outside of his own country, although within Romania it continues to be read and discussed. Were it to become known outside of Romania, Blaga's philosophy could provide interesting contributions to contemporary philosophical discussions. The thesis of this book is that Blaga's philosophy can make valuable contributions to contemporary Anglo-American philosophy. In order to support this thesis, Blaga's philosophical system is explained in detail so that the reader may see how it can be applied to a variety of philosophical issues. philosophy of religion in order to demonstrate that it can contribute to contemporary Anglo-American discussions. Michael S. Jones is Assistant Professor of Philosophy at Liberty University.
This book provides a comprehensive introduction to the mathematical foundations of economics, from basic set theory to fixed point theorems and constrained optimization. Rather than simply offer a collection of problem-solving techniques, the book emphasizes the unifying mathematical principles that underlie economics. Features include an extended presentation of separation theorems and their applications, an account of constraint qualification in constrained optimization, and an introduction to monotone comparative statics. These topics are developed by way of more than 800 exercises. The book is designed to be used as a graduate text, a resource for self-study, and a reference for the professional economist.
In recent years "leaderless" social movements have proliferated around the globe, from North Africa and the Middle East to Europe, the Americas, and East Asia. Some of these movements have led to impressive gains: the toppling of authoritarian leaders, the furthering of progressive policy, and checks on repressive state forces. They have also been, at times, derided by journalists and political analysts as disorganized and ineffectual, or suppressed by disoriented and perplexed police forces and governments who fail to effectively engage them. Activists, too, struggle to harness the potential of these horizontal movements. Why have the movements, which address the needs and desires of so many, not been able to achieve lasting change and create a new, more democratic and just society? Some people assume that if only social movements could find new leaders they would return to their earlier glory. Where, they ask, are the new Martin Luther Kings, Rudi Dutschkes, and Stephen Bikos? With the rise of right-wing political parties in many countries, the question of how to organize democratically and effectively has become increasingly urgent. Although today's leaderless political organizations are not sufficient, a return to traditional, centralized forms of political leadership is neither desirable nor possible. Instead, as Michael Hardt and Antonio Negri argue, familiar roles must be reversed: leaders should be responsible for short-term, tactical action, but it is the multitude that must drive strategy. In other words, if these new social movements are to achieve meaningful revolution, they must invent effective modes of assembly and decision-making structures that rely on the broadest democratic base. Drawing on ideas developed through their well-known Empire trilogy, Hardt and Negri have produced, in Assembly, a timely proposal for how current large-scale horizontal movements can develop the capacities for political strategy and decision-making to effect lasting and democratic change. We have not yet seen what is possible when the multitude assembles.
Thank you for visiting our website. Would you like to provide feedback on how we could improve your experience?
This site does not use any third party cookies with one exception — it uses cookies from Google to deliver its services and to analyze traffic.Learn More.