In his entertaining and informative book Graphic Discovery, Howard Wainer unlocked the power of graphical display to make complex problems clear. Now he's back with Picturing the Uncertain World, a book that explores how graphs can serve as maps to guide us when the information we have is ambiguous or incomplete. Using a visually diverse sampling of graphical display, from heartrending autobiographical displays of genocide in the Kovno ghetto to the "Pie Chart of Mystery" in a New Yorker cartoon, Wainer illustrates the many ways graphs can be used--and misused--as we try to make sense of an uncertain world. Picturing the Uncertain World takes readers on an extraordinary graphical adventure, revealing how the visual communication of data offers answers to vexing questions yet also highlights the measure of uncertainty in almost everything we do. Are cancer rates higher or lower in rural communities? How can you know how much money to sock away for retirement when you don't know when you'll die? And where exactly did nineteenth-century novelists get their ideas? These are some of the fascinating questions Wainer invites readers to consider. Along the way he traces the origins and development of graphical display, from William Playfair, who pioneered the use of graphs in the eighteenth century, to instances today where the public has been misled through poorly designed graphs. We live in a world full of uncertainty, yet it is within our grasp to take its measure. Read Picturing the Uncertain World and learn how.

A call for a new form of democracy in which “hybrid forums” composed of experts and laypeople address such sociotechnical controversies as hazardous waste, genetically modified organisms, and nanotechnology. Controversies over such issues as nuclear waste, genetically modified organisms, asbestos, tobacco, gene therapy, avian flu, and cell phone towers arise almost daily as rapid scientific and technological advances create uncertainty and bring about unforeseen concerns. The authors of Acting in an Uncertain World argue that political institutions must be expanded and improved to manage these controversies, to transform them into productive conversations, and to bring about “technical democracy.” They show how “hybrid forums”—in which experts, non-experts, ordinary citizens, and politicians come together—reveal the limits of traditional delegative democracies, in which decisions are made by quasi-professional politicians and techno-scientific information is the domain of specialists in laboratories. The division between professionals and laypeople, the authors claim, is simply outmoded. The authors argue that laboratory research should be complemented by everyday experimentation pursued in the real world, and they describe various modes of cooperation between the two. They explore a range of concrete examples of hybrid forums that have dealt with sociotechnical controversies including nuclear waste disposal in France, industrial waste and birth defects in Japan, a childhood leukemia cluster in Woburn, Massachusetts, and mad cow disease in the United Kingdom. The authors discuss the implications for political decision making in general and describe a “dialogic” democracy that enriches traditional representative democracy. To invent new procedures for consultation and representation, they suggest, is to contribute to an endless process that is necessary for the ongoing democratization of democracy.

This book goes beyond other police leadership books to teach practitioners how to think about policing in a structured way that synthesizes criminological theory, statistics, research design, applied research, and what works and what doesn’t in policing into Mental Models. A Mental Model is a representation of how something works. Using a Mental Model framework to simplify complex concepts, readers will take away an in-depth understanding of how cognitive biases affect our ability to understand and interpret data, what empirical research says about effective police interventions, how statistical data should be structured for management meetings, and how to evaluate interventions for efficiency and effectiveness. While evidence-based practice is critical to advancing the police profession, it is limited in scope, and is only part of what is necessary to support sustainable change in policing. Policing requires a scientifically based framework to understand and interpret data in a way that minimizes cognitive bias to allow for better responses to complex problems. Data and research have advanced so rapidly in the last several decades that it is difficult for even the most ambitious of police leaders to keep pace. The Twenty-one Mental Models were synthesized to create a framework for any police, public, or community leader to better understand how cognitive bias contributes to misunderstanding data and gives the reader the tools to overcome those biases to better serve their communities. The book is intended for a wide range of audiences, including law enforcement and community leaders; scholars and policy experts who specialize in policing; students of criminal justice, organizations, and management; reporters and journalists; individuals who aspire to police careers; and citizen consumers of information about policing. Anyone who is going to make decisions about their communities based on data has a responsibility to be numerate and this book Twenty-one Mental Models That Can Change Policing: A Framework For Using Data and Research For Overcoming Cognitive Bias, will help you become just that.

Offers an innovative study of visual traditions in modern medical history through debates about the causes, impact and spread of AIDS.

In this provocative book, Michael Mauboussin offers the structure needed to analyze the relative importance of skill and luck, offering concrete suggestions for making these insights work to your advantage by making better decisions.

In every decision problem there are things we know and things we do not know. Risk analysis science uses the best available evidence to assess what we know while it is carefully intentional in the way it addresses the importance of the things we do not know in the evaluation of decision choices and decision outcomes. The field of risk analysis science continues to expand and grow and the second edition of Principles of Risk Analysis: Decision Making Under Uncertainty responds to this evolution with several significant changes. The language has been updated and expanded throughout the text and the book features several new areas of expansion including five new chapters. The book’s simple and straightforward style—based on the author’s decades of experience as a risk analyst, trainer, and educator—strips away the mysterious aura that often accompanies risk analysis. Features: Details the tasks of risk management, risk assessment, and risk communication in a straightforward, conceptual manner Provides sufficient detail to empower professionals in any discipline to become risk practitioners Expands the risk management emphasis with a new chapter to serve private industry and a growing public sector interest in the growing practice of enterprise risk management Describes dozens of quantitative and qualitative risk assessment tools in a new chapter Practical guidance and ideas for using risk science to improve decisions and their outcomes is found in a new chapter on decision making under uncertainty Practical methods for helping risk professionals to tell their risk story are the focus of a new chapter Features an expanded set of examples of the risk process that demonstrate the growing applications of risk analysis As before, this book continues to appeal to professionals who want to learn and apply risk science in their own professions as well as students preparing for professional careers. This book remains a discipline free guide to the principles of risk analysis that is accessible to all interested practitioners. Files used in the creation of this book and additional exercises as well as a free student version of Palisade Corporation’s Decision Tools Suite software are available with the purchase of this book. A less detailed introduction to the risk analysis science tasks of risk management, risk assessment, and risk communication is found in Primer of Risk Analysis: Decision Making Under Uncertainty, Second Edition, ISBN: 978-1-138-31228-9.

Scientists are portrayed as champions of objectivity and truth, and artists as champions of subjectivity and creative expression. Through analysis of modern art, John C. Gilmour shows how misleading is this separation of the world into objective and subjective spheres. This false dichotomy depends upon a dated philosophy of mind. The issues posed are developed from the ideas of Nietzche, Heidegger, Merleau-Ponty, Gadamer, Ricoeur, Wittgenstein, Rorty, Dewey, and Whitehead. Picturing the World requires us to reconceive the role of the artist in the creative process and the role of the arts in general.