Collaborations that integrate diverse perspectives are critical to addressing many of our complex scientific and societal problems. Yet those engaged in cross-disciplinary team science often face institutional barriers and collaborative challenges. Strategies for Team Science Success offers readers a comprehensive set of actionable strategies for reducing barriers and overcoming challenges and includes practical guidance for how to implement effective team science practices. More than 100 experts--including scientists, administrators, and funders from a wide range of disciplines and professions-- explain evidence-based principles, highlight state-of the-art strategies, tools, and resources, and share first-person accounts of how they've applied them in their own successful team science initiatives. While many examples draw from cross-disciplinary team science initiatives in the health domain, the handbook is designed to be useful across all areas of science. Strategies for Team Science Success will inspire and enable readers to embrace cross-disciplinary team science, by articulating its value for accelerating scientific progress, and by providing practical strategies for success. Scientists, administrators, funders, and others engaged in team science will also leave equipped to develop new policies and practices needed to keep pace in our rapidly changing scientific landscape. Scholars across the Science of Team Science (SciTS), management, organizational, behavioral and social sciences, public health, philosophy, and information technology, among other areas of scholarship, will find inspiration for new research directions to continue advancing cross-disciplinary team science.

How do individuals conceive illness and symptoms? Do their conceptions conflict with the physician's views of their illness, and what happens if they do? This book thoroughly explores the field of disease representation, describes and discusses lay illness models in a variety of social, histo- rical and cultural contexts.

As screening programs for HIV, high cholesterol, high blood pressure, genetic abnormalities and other risk factors continue to proliferate, difficult questions are continually raised concerning the psychological and behavioral effects on the participants. Although members of the public health community have debated the costs and benefits of screening programs for over three decades, these questions have become especially pertinent with the current emphasis on early disease detection and prevention. While advocates argue that risk notification provides the impetus for individuals to improve their health habits and seek early treatment, skeptics contend that risk screening can have an adverse labeling effect, leading to increased anxiety, work absenteeism, and fatalism.
Now, for the first time, the widely scattered body of research on the effects of risk factor screening is comprehensively reviewed and evaluated in this volume. Here, an internationally recognized group of expert contributors summarizes and discusses current knowledge about the psychosocial consequences of risk factor testing, taking into account individual differences, gender differences, risk status, and intervention strategies. Both the public health and behavioral science viewpoints are explored through up-to-date reviews and stimulating commentary. Bridging the gap between data, theory and public health policy, this volume is essential reading for researchers, professionals and policymakers concerned with the prevention of acute and chronic disease.

The demand for health information continues to increase, but the ability of health professionals to provide it clearly remains variable. The aim of this book is (1) to summarize and synthesize research on the selection and presentation of data pertinent to public health, and (2) to provide practical suggestions, based on this research summary and synthesis, on how scientists and other public health practitioners can better communicate data to the public, policy makers, and the press in typical real-world situations. Because communication is complex and no one approach works for all audiences, the authors emphasize how to communicate data "better" (and in some instances, contrast this with how to communicate data "worse"), rather than attempting a cookbook approach. The book contains a wealth of case studies and other examples to illustrate major points, and actual situations whenever possible. Key principles and recommendations are summarized at the end of each chapter.
This book will stimulate interest among public health practitioners, scholars, and students to more seriously consider ways they can understand and improve communication about data and other types of scientific information with the public, policy makers, and the press. Improved data communication will increase the chances that evidence-based scientific findings can play a greater role in improving the public's health.