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Award-winning author Tara L. Kuther presents Lifespan Development in Context, a topically organized version of her bestselling Lifespan Development text that provides a panoramic view of the many influences that shape human development. Kuther’s student-friendly narrative guides the reader through immersive video cases and real-world examples to illustrate how the places, sociocultural environments, and ways in which we are raised influence who we become and how we grow and change throughout our lives. Three core themes resonate throughout each chapter: the centrality of context, the importance of research, and the value of applied developmental science. Foundational theories and classic studies are combined with contemporary research and culturally diverse perspectives for a modern introduction to the field that is both comprehensive and concise. Visual overviews, case studies, and critical thinking questions encourage self-reflection and class discussion, ensuring students have the tools they need to apply course concepts to their lives and future careers.
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This book seeks to show the role of sustainability and innovation in the business and productive sector as good strategy to improve performance and contribute to growth and sustainable development through innovative strategies applied to the management process. Different public and private organizations seek to maintain their business and market share, while developing strategies to improve environmental performance through innovation and address new challenges that seek a productive sector responsible on environmental issues. This book offers an analysis of the relationship between sustainability and innovation in production with the aim to offer strategies to improve sustainability performance.
CSA Sociological Abstracts abstracts and indexes the international literature in sociology and related disciplines in the social and behavioral sciences. The database provides abstracts of journal articles and citations to book reviews drawn from over 1,800+ serials publications, and also provides abstracts of books, book chapters, dissertations, and conference papers.
A new way of thinking about data science and data ethics that is informed by the ideas of intersectional feminism. Today, data science is a form of power. It has been used to expose injustice, improve health outcomes, and topple governments. But it has also been used to discriminate, police, and surveil. This potential for good, on the one hand, and harm, on the other, makes it essential to ask: Data science by whom? Data science for whom? Data science with whose interests in mind? The narratives around big data and data science are overwhelmingly white, male, and techno-heroic. In Data Feminism, Catherine D'Ignazio and Lauren Klein present a new way of thinking about data science and data ethics—one that is informed by intersectional feminist thought. Illustrating data feminism in action, D'Ignazio and Klein show how challenges to the male/female binary can help challenge other hierarchical (and empirically wrong) classification systems. They explain how, for example, an understanding of emotion can expand our ideas about effective data visualization, and how the concept of invisible labor can expose the significant human efforts required by our automated systems. And they show why the data never, ever “speak for themselves.” Data Feminism offers strategies for data scientists seeking to learn how feminism can help them work toward justice, and for feminists who want to focus their efforts on the growing field of data science. But Data Feminism is about much more than gender. It is about power, about who has it and who doesn't, and about how those differentials of power can be challenged and changed.
If evolution has changed humans physically, has it also affected human behavior? Drawing on evolutionary psychology, sociobiology, and human behavioral ecology, Human Nature and the Evolution of Society explores the evolutionary dynamics underlying social life. In this introduction to human behavior and the organization of social life, Stephen K. Sanderson discusses traditional subjects like mating behavior, kinship, parenthood, status-seeking, and violence, as well as important topics seldom included in books of this type, especially gender, economies, politics, foodways, race and ethnicity, and the arts. Examples and research on a wide range of human societies, both industrial and nonindustrial, are integrated throughout. With chapter summaries of key points, thoughtful discussion questions, and important terms defined within the text, the result is a broad-ranging and comprehensive consideration of human society, thoroughly grounded in an evolutionary perspective.
Good elementary school science engages children in wonder and the study of the natural world. It makes links to technology and gives children the opportunity to explore how things work firsthand through activities and experiences with a wide variety of materials. This book was written for decision makers. While some of these decision makers hold official titles such as science supervisor, other administrators, curriculum coordinators, and teachers are intended to be included. The purpose of this book is to help answer the questions of where to start, and what needs to be done to improve science education in the elementary school. It is organized according to the 13 findings of the National Center for Improving Science Education. Topics covered include curriculum, instruction, assessment, and teacher development and support. Appendices include a general reference list for science leaders, and a list of science resources in the United States. (CW)
This state-of-the-art survey provides a systematic overview of the ideas and techniques of the adaptive Web and serves as a central source of information for researchers, practitioners, and students. The volume constitutes a comprehensive and carefully planned collection of chapters that map out the most important areas of the adaptive Web, each solicited from the experts and leaders in the field.