Knowing your users stimulates your imagination and helps you create more exciting and effective design solutions. But there is a problem: the normal conception of "the user" is incomplete and based on outdated notions. These notions of simple, direct relationships between people and products are no longer valid in today's complex, technologically interconnected world. This fun and practical book with a set of cards will change the way readers think about users. Rethinking Users introduces a radical new approach that questions some of our most fundamental ideas about the nature of user experience. It points to new opportunities to create products and services that help users in new ways. The book includes a deck of user archetype cards and step-by-step team activities for unlocking new user-centered thinking and design inspiration. For designers, design researchers, strategists, innovators, product managers, and entrepreneurs in almost any field.

A call to reclaim and rethink the field of designing as a liberal art where diverse voices come together to shape the material world. We live in a material world of designed artifacts, both digital and analog. We think of ourselves as users; the platforms, devices, or objects provide a service that we can use. But is this really the case? We Are Not Users argues that people cannot be reduced to the entity called “user”; we are not homogenous but diverse. That buzz of dissonance that we hear reflects the difficulty of condensing our diversity into “one size fits all.” This book proposes that a new understanding of design could resolve that dissonance, and issues a call to reclaim and rethink the field of designing as a liberal art where diverse voices come together to shape the material world. The authors envision designing as a dialogue, simultaneously about the individual and the social—an act enriched by diversity of both disciplines and perspectives. The book presents the building blocks of a language that can conceive designing in all its richness, with relevance for both theory and practice. It introduces a theoretical model, terminology, examples, and a framework for bringing together the social, cultural, and political aspects of designing. It will be essential reading for design theorists and for designers in areas ranging from architecture to software design and policymaking.

The essays in Rethinking Media Change center on a variety of media forms at moments of disruption and cultural transformation. The editors' introduction sketches an aesthetics of media transition—patterns of development and social dispersion that operate across eras, media forms, and cultures. The book includes case studies of such earlier media as the book, the phonograph, early cinema, and television. It also examines contemporary digital forms, exploring their promise and strangeness. A final section probes aspects of visual culture in such environments as the evolving museum, movie spectaculars, and "the virtual window." The contributors reject apocalyptic scenarios of media revolution, demonstrating instead that media transition is always a mix of tradition and innovation, an accretive process in which emerging and established systems interact, shift, and collude with one another.

Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds readers’ knowledge of and confidence in statistical modeling. Reflecting the need for even minor programming in today’s model-based statistics, the book pushes readers to perform step-by-step calculations that are usually automated. This unique computational approach ensures that readers understand enough of the details to make reasonable choices and interpretations in their own modeling work. The text presents generalized linear multilevel models from a Bayesian perspective, relying on a simple logical interpretation of Bayesian probability and maximum entropy. It covers from the basics of regression to multilevel models. The author also discusses measurement error, missing data, and Gaussian process models for spatial and network autocorrelation. By using complete R code examples throughout, this book provides a practical foundation for performing statistical inference. Designed for both PhD students and seasoned professionals in the natural and social sciences, it prepares them for more advanced or specialized statistical modeling. Web Resource The book is accompanied by an R package (rethinking) that is available on the author’s website and GitHub. The two core functions (map and map2stan) of this package allow a variety of statistical models to be constructed from standard model formulas.

Author's note -- Preface -- Dreaming, not doing -- The upside of dreaming -- Fooling our minds -- The wise pursuit of our dreams -- Engaging our nonconscious minds -- The magic of WOOP -- WOOP your life -- Your friend for life -- Acknowledgments -- Notes -- Index

In Rethinking American Music, Tara Browner and Thomas L. Riis curate essays that offer an eclectic survey of current music scholarship. Ranging from Tin Pan Alley to Thelonious Monk to hip hop, the contributors go beyond repertory and biography to explore four critical yet overlooked areas: the impact of performance; patronage's role in creating music and finding a place to play it; personal identity; and the ways cultural and ethnographic circumstances determine the music that emerges from the creative process. Many of the articles also look at how a piece of music becomes initially popular and then exerts a lasting influence in the larger global culture. The result is an insightful state-of-the-field examination that doubles as an engaging short course on our complex, multifaceted musical heritage. Contributors: Karen Ahlquist, Amy C. Beal, Mark Clagu,. Esther R. Crookshank, Todd Decker, Jennifer DeLapp-Birkett, Joshua S. Duchan, Mark Katz, Jeffrey Magee, Sterling E. Murray, Guthrie P. Ramsey Jr., David Warren Steel, Jeffrey Taylor, and Mark Tucker

Qualitative comparative methods – and specifically controlled qualitative comparisons – are central to the study of politics. They are not the only kind of comparison, though, that can help us better understand political processes and outcomes. Yet there are few guides for how to conduct non-controlled comparative research. This volume brings together chapters from more than a dozen leading methods scholars from across the discipline of political science, including positivist and interpretivist scholars, qualitative methodologists, mixed-methods researchers, ethnographers, historians, and statisticians. Their work revolutionizes qualitative research design by diversifying the repertoire of comparative methods available to students of politics, offering readers clear suggestions for what kinds of comparisons might be possible, why they are useful, and how to execute them. By systematically thinking through how we engage in qualitative comparisons and the kinds of insights those comparisons produce, these collected essays create new possibilities to advance what we know about politics.