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An intellectual history of the social sciences that offers a library of 101 books that broke new ground for the field. What are the social sciences? What unifies them? This essay collection seeks to answer these and other important questions as it considers how the field has developed over the years, from post–World War II to the present day throughout the world. Edited by Cyril Lemieux, Laurent Berger, Marielle Macé, Gildas Salmon, and Cécile Vidal, A History of the Social Sciences in 101 Books brings together a diverse range of researchers in the social sciences to present short essays on 101 books—both renowned and lesser known—that have shaped the field, from Theodor Adorno and Max Horkheimer’s Dialectic of Enlightenment (1947) to Michel Aglietta’s Money: 5000 Years of Debt and Power (2016). While there have been surveys and intellectual histories of particular disciplines within the social sciences (history, anthropology, sociology), until now there has been no intellectual history of the social sciences as a unified whole. Far from presenting a fixed and frozen canon, A History of the Social Sciences in 101 Books offers instead a moving, multiform landscape with no settled questions, only an ongoing series of new perspectives and challenges to previously established grounding.
This compact volume covers the main developments in the social sciences since the Second World War. Chapters on economics, human geography, political science, psychology, social anthropology, and sociology will interest anyone wanting short, accessible histories of those disciplines, all written by experts in the relevant field; they will also make it easy for readers to make comparisons between disciplines. A final chapter proposes a blueprint for a history of the social sciences as a whole. Whereas most of the existing literature considers the social sciences in isolation from one other, this volume shows that they have much in common; for example, they have responded to common problems using overlapping methods, and cross-disciplinary activities have been widespread.
A comprehensive and authoritative guide to developments in life and earth sciences since 1800.
This book is designed to introduce doctoral and graduate students to the process of conducting scientific research in the social sciences, business, education, public health, and related disciplines. It is a one-stop, comprehensive, and compact source for foundational concepts in behavioral research, and can serve as a stand-alone text or as a supplement to research readings in any doctoral seminar or research methods class. This book is currently used as a research text at universities on six continents and will shortly be available in nine different languages.
This accessible book introduces the story of ‘social science’, with coverage of history, politics, economics, sociology, psychology, anthropology, and geography. Key questions include: How and why did the social sciences originate and differentiate? How are they related to older traditions that have defined Western civilization? What is the unique perspective or ‘way of knowing’ of each social science? What are the challenges—and alternatives—to the social sciences as they stand in the twenty-first century? Eller explains the origin, evolution, methods, and the main figures, literature, concepts, and theories in each discipline. The chapters also feature a range of contemporary examples, with consideration given to how the disciplines address present-day issues.
"Data analysis has become a necessary skill across the social sciences, and recent advancements in computing power have made knowledge of programming an essential component. Yet most data science books are intimidating and overwhelming to a non-specialist audience, including most undergraduates. This book will be a shorter, more focused and accessible version of Kosuke Imai's Quantitative Social Science book, which was published by Princeton in 2018 and has been adopted widely in graduate level courses of the same title. This book uses the same innovative approach as Quantitative Social Science , using real data and 'R' to answer a wide range of social science questions. It assumes no prior knowledge of statistics or coding. It starts with straightforward, simple data analysis and culminates with multivariate linear regression models, focusing more on the intuition of how the math works rather than the math itself. The book makes extensive use of data visualizations, diagrams, pictures, cartoons, etc., to help students understand and recall complex concepts, provides an easy to follow, step-by-step template of how to conduct data analysis from beginning to end, and will be accompanied by supplemental materials in the appendix and online for both students and instructors"--
Announcements for the following year included in some vols.