An engaging introduction to data science that emphasizes critical thinking over statistical techniques
An introduction to data science or statistics shouldn't involve proving complex theorems or memorizing obscure terms and formulas, but that is exactly what most introductory quantitative textbooks emphasize. In contrast, Thinking Clearly with Data focuses, first and foremost, on critical thinking and conceptual understanding in order to teach students how to be better consumers and analysts of the kinds of quantitative information and arguments that they will encounter throughout their lives. Among much else, the book teaches how to assess whether an observed relationship in data reflects a genuine relationship in the world and, if so, whether it is causal; how to make the most informative comparisons for answering questions; what questions to ask others who are making arguments using quantitative evidence; which statistics are particularly informative or misleading; how quantitative evidence should and shouldn't influence decision-making; and how to make better decisions by using moral values as well as data. Filled with real-world examples, the book shows how its thinking tools apply to problems in a wide variety of subjects, including elections, civil conflict, crime, terrorism, financial crises, health care, sports, music, and space travel. Above all else, Thinking Clearly with Data demonstrates why, despite the many benefits of our data-driven age, data can never be a substitute for thinking.F. A. Hayek never published the grand project he conceived in a letter to Fritz Machlup in 1939. As described in the introduction, this work would incorporate intellectual history, methodology, and an analysis of social problems, all aimed at shedding light on the consequences of socialism. He told Machlup that a series of case studies should come first, . . . leading to the fundamental scientific principles of economic policy and ultimately to the consequences of socialism, and the work would form the basis of a systematic intellectual historical investigation of the fundamental principles of the social development of the last hundred years. (Introduction, p. 1)
Studies on the Abuse and Decline of Reason collects the essays that were to be the foundation of that work. The essay Individualism: True and False was written as the introduction to the work. Scientism and the Study of Society provides the case studies, followed by two essays of intellectual history: The Counter-Revolution of Science (his study of the history of scientism in France) and Comte and Hegel.
Hayek did publish all the works found in this volume, but they had never been gathered in a single work as he originally conceived. Editor Bruce Caldwell has provided translations where they were absent and has revised and corrected the text, and his introduction tells the story of Hayek's greatest unfinished piece of work.
F. A. Hayek (1899-1992), recipient of the Medal of Freedom in 1991 and co-winner of the Nobel Memorial Prize in Economic Sciences in 1974, was a pioneer in monetary theory and one of the principal proponents of classical liberal thought in the twentieth century. He taught at the London School of Economics, the University of Chicago, and the University of Freiburg.
Bruce Caldwell is Research Professor of Economics and the Director of the Center for the History of Political Economy at Duke University. He is the current general editor of The Collected Works of F. A. Hayek.
In Metamorphustice(TM) From Savior to CHANGEmaker, readers are guided through the foundational principles of social justice, equity, diversity, and inclusion work before being prompted to explore their own stage within the transformation of justice. In this engaging read, Megan discusses the trajectory of social justice reform and empowers readers to drive meaningful change through reflective journal prompts and actionable steps.
CHANGE! A Student Guide to Social Action helps students learn how to bring about the change they believe will improve their community. What distinguishes an experiential social action class from other social change courses is that students are actively involved in enacting a policy change of their choice, providing first-hand experience of democracy and power. Students can choose to start a new campaign, keep a campaign going from a previous semester, or join a community campaign.
This valuable new edition includes updates to the student vctories section, reordering and updating of chapters for better student learning, and updates to all of the portfolio assignments.A clear and comprehensive framework for bridging the widening gap between theorists and empiricists in social science
The credibility revolution, with its emphasis on empirical methods for causal inference, has led to concerns among scholars that the canonical questions about politics and society are being neglected because they are no longer deemed answerable. Theory and Credibility stakes out an opposing view--presenting a new vision of how, working together, the credibility revolution and formal theory can advance social scientific inquiry. This authoritative book covers the conceptual foundations and practicalities of both model building and research design, providing a new framework to link theory and empirics. Drawing on diverse examples from political science, it presents a typology of the rich set of interactions that are possible between theory and empirics. This typology opens up new ways for scholars to make progress on substantive questions, and enables researchers from disparate traditions to gain a deeper appreciation for each other's work and why it matters. Theory and Credibility shows theorists how to create models that are genuinely useful to empirical inquiry, and helps empiricists better understand how to structure their research in ways that speak to theoretically meaningful questions.A comprehensive introduction to mathematical and agent-based modeling of social behavior
This book provides a unified, theory-driven introduction to key mathematical and agent-based models of social dynamics and cultural evolution, teaching readers how to build their own models, analyze them, and integrate them with empirical research programs. It covers a variety of modeling topics, each exemplified by one or more archetypal models, and helps readers to develop strong theoretical foundations for understanding social behavior. Modeling Social Behavior equips social, behavioral, and cognitive scientists with an essential tool kit for thinking about and studying complex social systems using mathematical and computational models.What is the purpose of Geography? What do geographers study and why? How do they seek to shape the world they interrogate?
This book addresses these questions by examining the lives and works of individual geographers, both past and present. Like all disciplines, Geography is no more nor less than the collective endeavours of researchers and teachers operating in specific contexts. The contexts both shape, and are shaped by, these individuals. This book's biographical and autobiographical chapters transport readers to the times and places where geographers have sought to make Geography matter. The result is a more vivid, grounded understanding of the discipline than the many high-level surveys of geographic thought paradigms currently written for university students.
This book's accessible essays each conclude with a study task. Making Geography Matter is aimed at university students and their teachers who wish to understand the goals, history and evolving practice of Geography. It provides an alternative perspective - both concrete and engaging - to the many student-focussed texts that map out numerous 'isms and ologies'.
Creative research methods for data generation have expanded over recent decades and researchers are eager to take a creative approach to data analysis.
It is challenging to bring creativity into data analysis while retaining a systematic, rigorous, and ethical approach. Written by experts in the field, this handbook addresses these challenges. The chapters adapt analytical techniques in creative ways for novice and expert researchers. Existing and novel methods from analysis of quantitative data to embodied, performative, visual, written, arts-based, and collaborative analysis are featured with case examples that are transferable across disciplines.
This collection offers a definitive practical guide to creative data analysis.