Quantitative History And Uncharted People

One of the biggest challenges in the study of history is the unreliable nature of traditional archival sources which omit histories of marginalised groups. This book makes the case that quantitative history offers a way to fill these gaps in the archive. Showcasing 13 case studies from the South African past, it applies quantitative sources, tools and methods to social histories from below to uncover the experiences of unchartered peoples. Examining the occupations of slaves, victims of the Spanish flu, health of schoolchildren and more, it shows how quantitative tools can be particularly powerful in regions where historical records are preserved, but questions of bias and prejudice pervade. Applying methods such as GIS mapping, network analysis and algorithmic matching techniques it explores histories of indigenous peoples, women, enslaved peoples and other groups marginalised in South African history. Connecting quantitative sources and new forms of data interpretation with a narrative social history, this book offers a fresh approach to quantitative methods and shows how they can be used to achieve a more complete picture of the past.

One of the biggest challenges in the study of history is the unreliable nature of traditional archival sources which omit histories of marginalised groups. This book makes the case that quantitative history offers a way to fill these gaps in the archive. Showcasing 13 case studies from the South African past, it applies quantitative sources, tools and methods to social histories from below to uncover the experiences of unchartered peoples. Examining the occupations of slaves, victims of the Spanish flu, health of schoolchildren and more, it shows how quantitative tools can be particularly powerful in regions where historical records are preserved, but questions of bias and prejudice pervade. Applying methods such as GIS mapping, network analysis and algorithmic matching techniques it explores histories of indigenous peoples, women, enslaved peoples and other groups marginalised in South African history. Connecting quantitative sources and new forms of data interpretation with a narrative social history, this book offers a fresh approach to quantitative methods and shows how they can be used to achieve a more complete picture of the past.

The pioneering texts in quantitative history were written over two decades ago, but as a command of methodological context, computer experience, and statistical literacy have become increasingly important to the study of history, the need for an introduct

Fully updated and carefully revised, this new 2nd edition of History by Numbers still stands alone as the only textbook on quantitative methods suitable for students of history. Even the numerically challenged will find inspiration. Taking a problem-solving approach and using authentic historical data, it describes each method in turn, including its origin, purpose, usefulness and associated pitfalls. The problems are developed gradually and with narrative skill, allowing readers to experience the moment of discovery for each of the interpretative outcomes. Quantitative methods are essential for the modern historian, and this lively and accessible text will prove an invaluable guide for anyone entering the discipline.

This book introduces statistical techniques for the particular needs of historians. The approach is practical and applied; alternative ways of resolving methodological problems are worked through. The emphasis is on applying the fundamentals of statistical theory to the specific research interests of historians and available historical sources. A special feature of the book is a discussion of the historical evolution of statistical techniques as a means of understanding their current applications and interpretations.

Making History Count introduces the main quantitative methods used in historical research. The emphasis is on intuitive understanding and application of the concepts, rather than formal statistics; no knowledge of mathematics beyond simple arithmetic is required. The techniques are illustrated by applications in social, political, demographic and economic history. Students will learn to read and evaluate the application of the quantitative methods used in many books and articles, and to assess the historical conclusions drawn from them. They will also see how quantitative techniques can open up new aspects of an enquiry, and supplement and strengthen other methods of research. This textbook will encourage students to recognize the benefits of using quantitative methods in their own research projects. The text is clearly illustrated with tables, graphs and diagrams, leading the student through key topics. Additional support includes five specific historical data-sets, available from the Cambridge website.

“One of the most exciting developments from the world of ideas in decades, presented with panache by two frighteningly brilliant, endearingly unpretentious, and endlessly creative young scientists.” – Steven Pinker, author of The Better Angels of Our Nature Our society has gone from writing snippets of information by hand to generating a vast flood of 1s and 0s that record almost every aspect of our lives: who we know, what we do, where we go, what we buy, and who we love. This year, the world will generate 5 zettabytes of data. (That’s a five with twenty-one zeros after it.) Big data is revolutionizing the sciences, transforming the humanities, and renegotiating the boundary between industry and the ivory tower. What is emerging is a new way of understanding our world, our past, and possibly, our future. In Uncharted, Erez Aiden and Jean-Baptiste Michel tell the story of how they tapped into this sea of information to create a new kind of telescope: a tool that, instead of uncovering the motions of distant stars, charts trends in human history across the centuries. By teaming up with Google, they were able to analyze the text of millions of books. The result was a new field of research and a scientific tool, the Google Ngram Viewer, so groundbreaking that its public release made the front page of The New York Times, The Wall Street Journal, and The Boston Globe, and so addictive that Mother Jones called it “the greatest timewaster in the history of the internet.” Using this scope, Aiden and Michel—and millions of users worldwide—are beginning to see answers to a dizzying array of once intractable questions. How quickly does technology spread? Do we talk less about God today? When did people start “having sex” instead of “making love”? At what age do the most famous people become famous? How fast does grammar change? Which writers had their works most effectively censored by the Nazis? When did the spelling “donut” start replacing the venerable “doughnut”? Can we predict the future of human history? Who is better known—Bill Clinton or the rutabaga? All over the world, new scopes are popping up, using big data to quantify the human experience at the grandest scales possible. Yet dangers lurk in this ocean of 1s and 0s—threats to privacy and the specter of ubiquitous government surveillance. Aiden and Michel take readers on a voyage through these uncharted waters.