In tbis splendid collection of the articles and addresses of P. L. Kapitza, the author remarks on the insight of the 18th century Ukrainian philosopher Skovoroda who wrote: "We must be grateful to God that He created the world in such a way that everytbing simple is true, and everything compli cated is untrue. " At another place, Kapitza meditates on the roles played by instinct, imagination, audacity, experiment, and hard work in the develop ment of science, and for a moment seems to despair at understanding the dogged arguments of great scientists: "Einstein loved to refer to God when there was no more sensible argument!" With Academician Kapitza, there are reasoned arguments, plausible alter natives, humor and humane discipline, energy and patience, a skill for the practical, and transcendent clarity about what is at issue in theoretical practice as in engineering necessities. Kapitza has been physicist, engineer, research manager, teacher, humanist, and tbis book demonstrates that he is a wise interpreter of historical, philosophical, and social realities. He is also, in C. P. Snow's words, strong, brave, and good (Variety of Men, N. Y. 1966, p. 19). In this preface, we shall point to themes from Kapitza's interpretations of science and life. On scientific work. Good work is never done with someone else's hands. The separation of theory from experience, from experimental work, and from practice, above all harms theory itself.

. . . the topic of 'meaning' is the one topic discussed in philosophy in which there is literally nothing but 'theory' - literally nothing that can be labelled or even ridiculed as the 'common sense view'. Putnam, 'The Meaning of Meaning' This book explores some truths behind the truism that experimentation is a hallmark of scientific activity. Scientists' descriptions of nature result from two sorts of encounter: they interact with each other and with nature. Philosophy of science has, by and large, failed to give an account of either sort of interaction. Philosophers typically imagine that scientists observe, theorize and experiment in order to produce general knowledge of natural laws, knowledge which can be applied to generate new theories and technologies. This view bifurcates the scientist's world into an empirical world of pre-articulate experience and know how and another world of talk, thought and argument. Most received philosophies of science focus so exclusively on the literary world of representations that they cannot begin to address the philosophical problems arising from the interaction of these worlds: empirical access as a source of knowledge, meaning and reference, and of course, realism. This has placed the epistemological burden entirely on the predictive role of experiment because, it is argued, testing predictions is all that could show that scientists' theorizing is constrained by nature. Here a purely literary approach contributes to its own demise. The epistemological significance of experiment turns out to be a theoretical matter: cruciality depends on argument, not experiment.

Responsible Science is a comprehensive review of factors that influence the integrity of the research process. Volume I examines reports on the incidence of misconduct in science and reviews institutional and governmental efforts to handle cases of misconduct. The result of a two-year study by a panel of experts convened by the National Academy of Sciences, this book critically analyzes the impact of today's research environment on the traditional checks and balances that foster integrity in science. Responsible Science is a provocative examination of the role of educational efforts; research guidelines; and the contributions of individual scientists, mentors, and institutional officials in encouraging responsible research practices.

This book is designed to introduce doctoral and graduate students to the process of conducting scientific research in the social sciences, business, education, public health, and related disciplines. It is a one-stop, comprehensive, and compact source for foundational concepts in behavioral research, and can serve as a stand-alone text or as a supplement to research readings in any doctoral seminar or research methods class. This book is currently used as a research text at universities on six continents and will shortly be available in nine different languages.

How tech companies like Google, Airbnb, StubHub, and Facebook learn from experiments in our data-driven world—an excellent primer on experimental and behavioral economics Have you logged into Facebook recently? Searched for something on Google? Chosen a movie on Netflix? If so, you've probably been an unwitting participant in a variety of experiments—also known as randomized controlled trials—designed to test the impact of different online experiences. Once an esoteric tool for academic research, the randomized controlled trial has gone mainstream. No tech company worth its salt (or its share price) would dare make major changes to its platform without first running experiments to understand how they would influence user behavior. In this book, Michael Luca and Max Bazerman explain the importance of experiments for decision making in a data-driven world. Luca and Bazerman describe the central role experiments play in the tech sector, drawing lessons and best practices from the experiences of such companies as StubHub, Alibaba, and Uber. Successful experiments can save companies money—eBay, for example, discovered how to cut $50 million from its yearly advertising budget—or bring to light something previously ignored, as when Airbnb was forced to confront rampant discrimination by its hosts. Moving beyond tech, Luca and Bazerman consider experimenting for the social good—different ways that governments are using experiments to influence or “nudge” behavior ranging from voter apathy to school absenteeism. Experiments, they argue, are part of any leader's toolkit. With this book, readers can become part of “the experimental revolution.”

Experiment is widely regarded as the most distinctive feature of natural science and essential to the way scientists find out about the world. Yet there has been little study of the way scientists actually make and use experiments. The Uses of Experiment fills this gap in our knowledge about how science is practised. Presenting 14 original case studies of important and often famous experiments, the book asks the questions: What tools do experimenters use? How do scientists argue from experiments? What happens when an experiment is challenged? How do scientists check that their experiments are working? Are there differences between experiments in the physical sciences and technology? Leading scholars in the fields of history, sociology and philosophy of science consider topics such as the interaction of experiment; instruments and theory; accuracy and reliability as hallmarks of experiment in science and technology; realising new phenomena; the believability of experiments and the sort of knowledge they produce; and the wider contexts on which experimentalists draw to develop and win support for their work. Drawing on examples as diverse as Galilean mechanics, Victorian experiments on electricity, experiments on cloud formation, and testing of nuclear missiles, a new view of experiment emerges. This view emphasises that experiments always involve choice, tactics and strategy in persuading audiences that Nature resembles the picture experimenters create.

This book identifies the gaps needing to be bridged to achieve a more inclusive and ‘just’ early childhood education, in relation to class, gender, sexuality, ethnicity, race, disabilities and age, and explores various ways of bridging these gaps.

This fascinating study in the sociology of science explores the way scientists conduct, and draw conclusions from, their experiments. The book is organized around three case studies: replication of the TEA-laser, detecting gravitational rotation, and some experiments in the paranormal. "In his superb book, Collins shows why the quest for certainty is disappointed. He shows that standards of replication are, of course, social, and that there is consequently no outside standard, no Archimedean point beyond society from which we can lever the intellects of our fellows."—Donald M. McCloskey, Journal of Economic Psychology "Collins is one of the genuine innovators of the sociology of scientific knowledge. . . . Changing Order is a rich and entertaining book."—Isis "The book gives a vivid sense of the contingent nature of research and is generally a good read."—Augustine Brannigan, Nature "This provocative book is a review of [Collins's] work, and an attempt to explain how scientists fit experimental results into pictures of the world. . . . A promising start for new explorations of our image of science, too often presented as infallibly authoritative."—Jon Turney, New Scientist

The effective design of scientific experiments is critical to success, yet graduate students receive very little formal training in how to do it. Based on a well-received course taught by the author, Experimental Design for Biologistsfills this gap. Experimental Design for Biologistsexplains how to establish the framework for an experimental project, how to set up a system, design experiments within that system, and how to determine and use the correct set of controls. Separate chapters are devoted to negative controls, positive controls, and other categories of controls that are perhaps less recognized, such as “assumption controls†and “experimentalist controls†. Furthermore, there are sections on establishing the experimental system, which include performing critical “system controls†. Should all experimental plans be hypothesis-driven? Is a question/answer approach more appropriate? What was the hypothesis behind the Human Genome Project? What color is the sky? How does one get to Carnegie Hall? The answers to these kinds of questions can be found in Experimental Design for Biologists. Written in an engaging manner, the book provides compelling lessons in framing an experimental question, establishing a validated system to answer the question, and deriving verifiable models from experimental data. Experimental Design for Biologistsis an essential source of theory and practical guidance in designing a research plan.

Despite the availability of cheap, fast, accurate and usable eye trackers, there is little information available on how to develop, implement and use these systems. This 2nd edition of the successful guide contains significant additional material on the topic and aims to fill that gap in the market by providing an accessible and comprehensive introduction. Additional key features of the 2nd edition include: Technical description of new (state-of-the-art) eye tracking technology; a complete whole new section describing experimental methodology including experimental design, empirical guidelines, and five case studies; and survey material regarding recent research publications.