In a world of information technologies, genetic engineering, controversies about established science, and the mysteries of quantum physics, it is at once seemingly impossible and absolutely vital to find ways to make sense of how science, technology, and society connect. In Feedback Loops: Pragmatism about Science & Technology, editors Andrew Wells Garnar and Ashley Shew bring together original writing from philosophers and science and technology studies scholars to provide novel ways of rethinking the relationships among science, technology, education, and society. Through critiquing and exploring the work of philosopher of science and technology Joseph C. Pitt, the authors featured in this volume investigate the complexities of contemporary technoscience, writing on topics ranging from super-computing to pedagogy, engineering to biotechnology patents, and scientific instruments to disability studies. Taken together, these chapters develop an argument about the necessity of using pragmatism to foster a more productive relationship among science, technology and society.

An introduction to the mathematical, computational, and analytical techniques used for modeling biological rhythms, presenting tools from many disciplines and example applications. All areas of biology and medicine contain rhythms, and these behaviors are best understood through mathematical tools and techniques. This book offers a survey of mathematical, computational, and analytical techniques used for modeling biological rhythms, gathering these methods for the first time in one volume. Drawing on material from such disciplines as mathematical biology, nonlinear dynamics, physics, statistics, and engineering, it presents practical advice and techniques for studying biological rhythms, with a common language. The chapters proceed with increasing mathematical abstraction. Part I, on models, highlights the implicit assumptions and common pitfalls of modeling, and is accessible to readers with basic knowledge of differential equations and linear algebra. Part II, on behaviors, focuses on simpler models, describing common properties of biological rhythms that range from the firing properties of squid giant axon to human circadian rhythms. Part III, on mathematical techniques, guides readers who have specific models or goals in mind. Sections on “frontiers” present the latest research; “theory” sections present interesting mathematical results using more accessible approaches than can be found elsewhere. Each chapter offers exercises. Commented MATLAB code is provided to help readers get practical experience. The book, by an expert in the field, can be used as a textbook for undergraduate courses in mathematical biology or graduate courses in modeling biological rhythms and as a reference for researchers.

For all the talk about personalized medicine, our health care system remains a top-down, doctor-driven system where individuals are too often bit players in their own health decisions. In The Decision Tree, Thomas Goetz proposes a new strategy for thinking about health, one that applies cutting-edge technology to put us at the center of the equation and explains how the new frontier of health care can impact each of our lives.

Online markets such as Amazon have completely changed retailing, and even small companies can use these e-commerce platforms to compete with the biggest and best in the world. But success requires new ways of thinking, outstanding customer service, and unprecedented speed. Bernie Thompson's small electronics company became one of the first private-label brands to successfully capitalize on Amazon fulfillment, and even Amazon has touted him as a success. Now he shares how you can find similar success. Going well beyond the basics, which are widely available elsewhere, this book is for more sophisticated private-label sellers and manufacturers who recognize that there are no tricks or schemes, only winning strategies, best practices, and tools for overcoming the inertia of discoverability to get the sales flywheel moving. Specific tips and advice include where to focus your energy, how to make data actionable, and how to close the feedback loops that drive successful e-commerce.

Radical Candor is the sweet spot between managers who are obnoxiously aggressive on the one side and ruinously empathetic on the other. It is about providing guidance, which involves a mix of praise as well as criticism, delivered to produce better results and help employees develop their skills and boundaries of success. Great bosses have a strong relationship with their employees, and Kim Scott Malone has identified three simple principles for building better relationships with your employees: make it personal, get stuff done, and understand why it matters. Radical Candor offers a guide to those bewildered or exhausted by management, written for bosses and those who manage bosses. Drawing on years of first-hand experience, and distilled clearly to give actionable lessons to the reader, Radical Candor shows how to be successful while retaining your integrity and humanity. Radical Candor is the perfect handbook for those who are looking to find meaning in their job and create an environment where people both love their work, their colleagues and are motivated to strive to ever greater success.

Clearly explaining the logical analysis of biological control phenomena, Biological Feedback answers questions concerning everything from regulation to logic. This rare monograph presents a formal methodology for analyzing the dynamic behavior of complex systems. The easy-to-read text describes a simple logical formalization called "kinetic logic". The reader discovers how this method is used to predict all possible patterns of behavior of which a system is capable. It includes specific conditions required for each pattern. It also explains how to modify an incorrect model in order to account for the observed behavior. The authors give special attention to the two basic types of simple feedback loops: positive and negative. This volume is filled with easy-to-use tables, providing quick reference throughout the book. The subject matter is of great interest to everyone working in molecular genetics and developmental biology. Researchers, immunologists, physical chemists, physicists, electrical engineers, economists, and mathematicians will find this unique text to be an informative, indispensable resource.

Thinking Statistically is the "sharp little book" that shows you how to think like a statistician, without worrying about formal statistical techniques. Along the way we learn how selection bias can explain why your boss doesn't know he sucks (even when everyone else does); how to use Bayes' Theorem to decide if your partner is cheating on you; and why Mark Zuckerberg should never be used as an example for anything. See the world in a whole new light, and make better decisions and judgements without ever going near a t-test. Think. Think Statistically.