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Responding to Jacques Derrida's vision for what a 'new' humanities should strive toward, Peter Trifonas and Michael Peters gather together in a single volume original essays by major scholars in the humanities today. Using Derrida's seven programmatic theses as a springboard, the contributors aim to reimagine, as Derrida did, the tasks for the new humanities in such areas as history of literature, history of democracy, history of profession, idea of sovereignty, and history of man. Deconstructing Derrida engages Jacques Derrida's polemic on the future of the humanities to come and expands on the notion of what us proper to the humanities in the current age of globalism and change.
A guide for using computational text analysis to learn about the social world From social media posts and text messages to digital government documents and archives, researchers are bombarded with a deluge of text reflecting the social world. This textual data gives unprecedented insights into fundamental questions in the social sciences, humanities, and industry. Meanwhile new machine learning tools are rapidly transforming the way science and business are conducted. Text as Data shows how to combine new sources of data, machine learning tools, and social science research design to develop and evaluate new insights. Text as Data is organized around the core tasks in research projects using text—representation, discovery, measurement, prediction, and causal inference. The authors offer a sequential, iterative, and inductive approach to research design. Each research task is presented complete with real-world applications, example methods, and a distinct style of task-focused research. Bridging many divides—computer science and social science, the qualitative and the quantitative, and industry and academia—Text as Data is an ideal resource for anyone wanting to analyze large collections of text in an era when data is abundant and computation is cheap, but the enduring challenges of social science remain. Overview of how to use text as data Research design for a world of data deluge Examples from across the social sciences and industry
Seven Rules for Social Research teaches social scientists how to get the most out of their technical skills and tools, providing a resource that fully describes the strategies and concepts no researcher or student of human behavior can do without. Glenn Firebaugh provides indispensable practical guidance for anyone doing research in the social and health sciences today, whether they are undergraduate or graduate students embarking on their first major research projects or seasoned professionals seeking to incorporate new methods into their research. The rules are the basis for discussions of a broad range of issues, from choosing a research question to inferring causal relationships, and are illustrated with applications and case studies from sociology, economics, political science, and related fields. Though geared toward quantitative methods, the rules also work for qualitative research. Seven Rules for Social Research is ideal for students and researchers who want to take their technical skills to new levels of precision and insight, and for instructors who want a textbook for a second methods course. The Seven Rules There should be the possibility of surprise in social research Look for differences that make a difference, and report them. Build reality checks into your research. Replicate where possible. Compare like with like. Use panel data to study individual change and repeated cross-section data to study social change. Let method be the servant, not the master.
Seming and being / Glenn W. Most -- History, technical style, and Chaucer's Treatise on the astrolabe / George Ovitt, Jr. -- Creation and responsibility in science / Leonard Isaacs -- History and geology as ways of studying the past / Stephen Brush -- Science's fictions / Stuart Peterfreund -- Creative problem-solving in physics, philosophy, and painting / Donald A. Crosby and Ron G. Williams.
This special issue provides a view of the past, present, and future of the field of personality and social psychology as an interdisciplinary endeavor. Collectively, the articles illustrate the vital contributions that can be made pursuing the reciprocal connections between personality/social psychology and psychobiology; developmental psychology; comparative psychology and evolutionary biology; clinical and health psychology; communication studies; organizational studies and systems theory; and cultural anthropology. The papers reflect the collective past and present of the field and set an agenda for a collective future.