Originally published as Foundations and trends in web science; vol. 1, issue 1.

The Art & Science of Web Design will help you understand the Web from the inside. It is structured around core Web concepts that often get only a passing mention in books on Web design. This book is not a reference book or a style guide. It is your mentor, whispering in your ear all the answers to those ubiquitous questions, and reminding us that there are now new rules and new ways to break them.

In this volume, the authors provide a comprehensive summary of the literature on this method of data collection that is rapidly growing in popularity. The book includes new syntheses of the authors' work and other important research on Web surveys, including a meta-analysis of studies that compare reports on sensitive topics in Web surveys with reports collected in other modes of data collection.

Although written simply enough to be accessible to undergraduates, accomplished scholars are likely to appreciate it too. Reading it taught me quite a lot about a subject I thought I knew rather well. - Paul Vogt, Illinois State University "This book brings the art and science of building and applying innovative online research tools to students and faculty across the social sciences." - William H. Dutton, University of Oxford A comprehensive guide to the theory and practice of web Social Science. This book demonstrates how the web is being used to collect social research data, such as online surveys and interviews, as well as digital trace data from social media environments, such as Facebook and Twitter. It also illuminates how the advent of the web has led to traditional social science concepts and approaches being combined with those from other scientific disciplines, leading to new insights into social, political and economic behaviour. Situating social sciences in the digital age, this book aids: understanding of the fundamental changes to society, politics and the economy that have resulted from the advent of the web choice of appropriate data, tools and research methods for conducting research using web data learning how web data are providing new insights into long-standing social science research questions appreciation of how social science can facilitate an understanding of life in the digital age It is ideal for students and researchers across the social sciences, as well as those from information science, computer science and engineering who want to learn about how social scientists are thinking about and researching the web.

Modern information and communication technologies, together with a cultural upheaval within the research community, have profoundly changed research in nearly every aspect. Ranging from sharing and discussing ideas in social networks for scientists to new collaborative environments and novel publication formats, knowledge creation and dissemination as we know it is experiencing a vigorous shift towards increased transparency, collaboration and accessibility. Many assume that research workflows will change more in the next 20 years than they have in the last 200. This book provides researchers, decision makers, and other scientific stakeholders with a snapshot of the basics, the tools, and the underlying visions that drive the current scientific (r)evolution, often called ‘Open Science.’

“A profound personal meditation on human existence . . . weaving together . . . historic and contemporary thought on the deepest question of all: why are we here?” —Gabor Maté M.D., author, In the Realm of Hungry Ghosts As our civilization careens toward climate breakdown, ecological destruction, and gaping inequality, people are losing their existential moorings. The dominant worldview of disconnection, which tells us we are split between mind and body, separate from each other, and at odds with the natural world, has been invalidated by modern science. Award-winning author Jeremy Lent, investigates humanity’s age-old questions—Who am I? Why am I? How should I live?—from a fresh perspective, weaving together findings from modern systems thinking, evolutionary biology, and cognitive neuroscience with insights from Buddhism, Taoism, and Indigenous wisdom. The result is a breathtaking accomplishment: a rich, coherent worldview based on a deep recognition of connectedness within ourselves, between each other, and with the entire natural world. It offers a compelling foundation for a new philosophical framework that could enable humanity to thrive sustainably on a flourishing Earth. The Web of Meaning is for everyone looking for deep and coherent answers to the crisis of civilization. “One of the most brilliant and insightful minds of our age, Jeremy Lent has written one of the most essential and compelling books of our time.” —David Korten, author, When Corporations Rule the World and The Great Turning: From Empire to Earth Community “We need, now more than ever, to figure out how to make all kinds of connections. This book can help—and therefore it can help with a lot of the urgent tasks we face.” —Bill McKibben, author, Falter: Has the Human Game Begun to Play Itself Out?

Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results