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Author: Markus J. Prutsch
Publisher: Springer
ISBN: 303011208X
Category : Political Science
Languages : en
Pages : 386
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Book Description
This study explores the dynamic relationship between science, numbers and politics. What can scientific evidence realistically do in and for politics? The volume contributes to that debate by focusing on the role of “numbers” as a means by which knowledge is expressed and through which that knowledge can be transferred into the political realm. Based on the assumption that numbers are constantly being actively created, translated, and used, and that they need to be interpreted in their respective and particular contexts, it examines how numbers and quantifications are made ‘politically workable’, examining their production, their transition into the sphere of politics and their eventual use therein. Key questions that are addressed include: In what ways does scientific evidence affect political decision-making in the contemporary world? How and why did quantification come to play such an important role within democratic politics? What kind of work do scientific evidence and numbers do politically?
Author: Markus J. Prutsch
Publisher: Springer
ISBN: 303011208X
Category : Political Science
Languages : en
Pages : 386
Get Book Here
Book Description
This study explores the dynamic relationship between science, numbers and politics. What can scientific evidence realistically do in and for politics? The volume contributes to that debate by focusing on the role of “numbers” as a means by which knowledge is expressed and through which that knowledge can be transferred into the political realm. Based on the assumption that numbers are constantly being actively created, translated, and used, and that they need to be interpreted in their respective and particular contexts, it examines how numbers and quantifications are made ‘politically workable’, examining their production, their transition into the sphere of politics and their eventual use therein. Key questions that are addressed include: In what ways does scientific evidence affect political decision-making in the contemporary world? How and why did quantification come to play such an important role within democratic politics? What kind of work do scientific evidence and numbers do politically?
Author: Karin Alejandra Rosemblatt
Publisher: UNC Press Books
ISBN: 1469636417
Category : History
Languages : en
Pages : 272
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Book Description
In this history of the social and human sciences in Mexico and the United States, Karin Alejandra Rosemblatt reveals intricate connections among the development of science, the concept of race, and policies toward indigenous peoples. Focusing on the anthropologists, sociologists, biologists, physicians, and other experts who collaborated across borders from the Mexican Revolution through World War II, Rosemblatt traces how intellectuals on both sides of the Rio Grande forged shared networks in which they discussed indigenous peoples and other ethnic minorities. In doing so, Rosemblatt argues, they refashioned race as a scientific category and consolidated their influence within their respective national policy circles. Postrevolutionary Mexican experts aimed to transform their country into a modern secular state with a dynamic economy, and central to this endeavor was learning how to "manage" racial difference and social welfare. The same concern animated U.S. New Deal policies toward Native Americans. The scientists' border-crossing conceptions of modernity, race, evolution, and pluralism were not simple one-way impositions or appropriations, and they had significant effects. In the United States, the resulting approaches to the management of Native American affairs later shaped policies toward immigrants and black Americans, while in Mexico, officials rejected policy prescriptions they associated with U.S. intellectual imperialism and racial segregation.
Author: Soraya Boudia
Publisher:
ISBN: 9781782382362
Category : Political Science
Languages : en
Pages : 280
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Book Description
In spite of decades of research on toxicants, along with the growing role of scientific expertise in public policy and the unprecedented rise in the number of national and international institutions dealing with environmental health issues, problems surrounding contaminants and their effects on health have never appeared so important, sometimes to the point of appearing insurmountable. This calls for a reconsideration of the roles of scientific knowledge and expertise in the definition and management of toxic issues, which this book seeks to do. It looks at complex historical, social, and political dynamics, made up of public controversies, environmental and health crises, economic interests, and political responses, and demonstrates how and to what extent scientific knowledge about toxicants has been caught between scientific, economic, and political imperatives. Soraya Boudia is Professor of Science, Technology, and Innovation Studies at the University of Paris-Est Marne-la-Vallée. Her scholarly work focuses on the transnational government of technological and health environmental risks. She has co-edited a special issue of History and Technology, "Risk and risk Society in Historical Perspective" (2007), and Toxicants, Health and Regulations Since 1945 (Pickering & Chatto, 2013), both with Nathalie Jas. Nathalie Jas is a Senior Researcher at the French National Institute for Agricultural Research (INRA). A historian and a STS scholar, her scholarly work analyses the intensification of agriculture and its social, environmental, and health effects. She has co-edited a special issue of History and Technology, "Risk and risk Society in Historical Perspective" (2007), and Toxicants, Health and Regulations Since 1945 (Pickering & Chatto, 2013), both with Soraya Boudia.
Author: David H. Guston
Publisher: Cambridge University Press
ISBN: 9780521653183
Category : Political Science
Languages : en
Pages : 232
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Book Description
Combining political-economic, sociological, and historical approaches, Professor Guston provides a coherent new framework for analyzing the changing relationship between politics and science in the United States. After World War II, the "social contract for science" assumed that the integrity and productivity of research were automatic; a belief that endured for four decades. But in the 1980s, cases of misconduct in science and flagging economic performance broke the trust between politics and science. New "boundary organizations" were created to mend the relationship between scientists and politicians.
Author: Andrea Mennicken
Publisher: Palgrave Macmillan
ISBN: 9783030782009
Category : Political Science
Languages : en
Pages : 498
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Book Description
This open access book offers unique insight into how and where ideas and instruments of quantification have been adopted, and how they have come to matter. Rather than asking what quantification is, New Politics of Numbers explores what quantification does, its manifold consequences in multiple domains. It scrutinizes the power of numbers in terms of the changing relations between numbers and democracy, the politics of evidence, and dreams and schemes of bettering society. The book engages Foucault inspired studies of quantification and the economics of convention in a critical dialogue. In so doing, it provides a rich account of the plurality of possible ways in which numbers have come to govern, highlighting not only their disciplinary effects, but also the collective mobilization capacities quantification can offer. This book will be invaluable reading for academics and graduate students in a wide variety of disciplines, as well as policymakers interested in the opportunities and pitfalls of governance by numbers.
Author: Alain Desrosières
Publisher: Harvard University Press
ISBN: 9780674009691
Category : History
Languages : en
Pages : 386
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Book Description
Begins with study of history of statistics, and shows how the evolution of modern statistics has been inextricably bound up with the knowledge and power of governments.
Author: Steven Forde
Publisher: Cambridge University Press
ISBN: 1107041147
Category : History
Languages : en
Pages : 271
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Book Description
The first book to explore the deep influence of modern science on Locke's moral and political philosophy.
Author: Theresa Marchant-Shapiro
Publisher: CQ Press
ISBN: 1483323684
Category : Political Science
Languages : en
Pages : 384
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Book Description
Statistics are just as vital to understanding political science as the study of institutions, but getting students to understand them when teaching a methods course can be a big challenge. Statistics for Political Analysis makes understanding the numbers easy. The only introduction to statistics book written specifically for political science undergraduates, this book explains each statistical concept in plain language—from basic univariate statistics and the basic measures of association to bivariate and multivariate regression—and uses real world political examples. Students learn the relevance of statistics to political science, how to understand and calculate statistics mathematically, and how to obtain them using SPSS. All calculations are modeled step-by-step, giving students needed practice to master the process without making it intimidating. Each chapter concludes with exercises that get students actively applying the steps and building their professional skills through data calculation, analysis, and memo writing.
Author: Wendy Elizabeth Wagner
Publisher: Cambridge University Press
ISBN: 0521855209
Category : Law
Languages : en
Pages : 259
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Book Description
This book examines how dominant interest groups manipulate the available science to support their positions.
Author: Peter Galderisi
Publisher: Routledge
ISBN: 1136819509
Category : Mathematics
Languages : en
Pages : 364
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Book Description
In politics, you begin by asking theoretically interesting questions. Sometimes statistics can help answer those questions. When it comes to applied statistics, students shouldn’t just learn a vast array of formula—they need to learn the basic concepts of statistics as solutions to particular problems. Peter Galderisi demonstrates that statistics are a summary of how to answer the problem: learn the math but only after learning the concepts and methodological considerations that give it context. With this as a starting point, Understanding Political Science Statistics asks students to consider how to address a research problem conceptually before being led to the appropriate formula. Throughout, Galderisi looks at problems through a lens of "observations and expectations," which can be applied to myriad statistical techniques, both descriptive and inferential. This approach links the answers researchers get from their individual data analysis to the research designs and questions from which these analyses are derived. By emphasizing the underlying logic of statistical analysis for greater understanding and drawing on applications and examples from political science (including law), the book illustrates how students can apply statistical concepts and techniques in their own research, in future coursework, and simply as an informed consumer of numbers in public discourse. The following features help students master the material: Legal and Methodological sidebars highlight key concepts and provide applied examples on law, politics, and methodology; End-of-chapter exercises allow students to test their mastery of the basic concepts and techniques along the way; A Sample Solutions Guide provides worked-out answers for odd-numbered exercises, with all answers available in the Instructor’s Manual; Key Terms are helpfully called out in both Marginal Definitions and a Glossary; A Companion Website (www.routledge.com/cw/galderisi) with further resources for both students and instructors; A diverse array of data sets include subsets of the ANES and Eurobarometer surveys; CCES; US Congressional district data; and a cross-national dataset with political, economic, and demographic variables; and Companion guides to SPSS and Stata walk students through the procedures for analysis and provide exercises that go hand-in-hand with online data sets.
