But where do they come from? What kind of environment breeds them? What sparks the flash of brilliance? How do we generate the breakthrough technologies that push forward our lives, our society, our culture? Steven Johnson's answers are revelatory as he identifies the seven key patterns behind genuine innovation, and traces them across time and disciplines. From Darwin and Freud to the halls of Google and Apple, Johnson investigates the innovation hubs throughout modern time and pulls out the approaches and commonalities that seem to appear at moments of originality.

    While we know this path usually entails financial sacrifices and hard work, very little attention has been paid to the deep personal compromises such students have to make as they enter worlds vastly different from their own. Measuring the true cost of higher education for those from disadvantaged backgrounds, Moving Up without Losing Your Way looks at the ethical dilemmas of upward mobility--the broken ties with family and friends, the severed connections with former communities, and the loss of identity--faced by students as they strive to earn a successful place in society.Drawing upon philosophy, social science, personal stories, and interviews, Jennifer Morton reframes the college experience, factoring in not just educational and career opportunities but also essential relationships with family, friends, and community. Finding that student strivers tend to give up the latter for the former, negating their sense of self, Morton seeks to reverse this course. She urges educators to empower students with a new narrative of upward mobility--one that honestly situates ethical costs in historical, social, and economic contexts and that allows students to make informed decisions for themselves.A powerful work with practical implications, Moving Up without Losing Your Way paves a hopeful road so that students might achieve social mobility while retaining their best selves.

    Do you want your students to just take psychology or to experience psychology? Laura King's approach to introductory psychology embodies a balanced consideration of functioning behavior as well as dysfunction and a view of psychology as an integrated whole.

    . . everything you need to master the most widely used management science techniques using Microsoft Excel is right here Learning to make decisions in today's business world takes training and experience. Cliff Ragsdale--the respected innovator in the field of management science--is an outstanding guide to help you learn the skills you need, use Microsoft Excel for Windows to implement those skills, and gain the confidence to apply what you learn to real business situations. SPREADSHEET MODELING AND DECISION ANALYSIS gives you step-by-step instructions and annotated screen shots to make examples easy to follow. Plus, interesting sections called The World of Management Science show you how each topic has been applied in a real company.

    Readerswill find information on frequency distributions; mean, median, and mode; range, variance, and standard deviation;probability; and more.-Emphasizes Microsoft Excel for number-crunching and computationsDownload a sample chapter.

    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 ResourceThe 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.

    His concise guide provides numerous examples of successful phenomenological studies from a variety of fields including therapy, health care, victimology, psychology and gender studies. The book also includes form letters and other research tools to use in designing and conducting a study.

    But much of their work is based on assumptions that are untested generalizations at best, harmful misperceptions at worst.Abhijit Banerjee and Esther Duflo have pioneered the use of randomized control trials in development economics. Work based on these principles, supervised by the Poverty Action Lab, is being carried out in dozens of countries. Drawing on this and their 15 years of research from Chile to India, Kenya to Indonesia, they have identified wholly new aspects of the behavior of poor people, their needs, and the way that aid or financial investment can affect their lives. Their work defies certain presumptions: that microfinance is a cure-all, that schooling equals learning, that poverty at the level of 99 cents a day is just a more extreme version of the experience any of us have when our income falls uncomfortably low.This important book illuminates how the poor live, and offers all of us an opportunity to think of a world beyond poverty.Learn more at www.pooreconomics.com