The articles collected here are foundational contributions to integrating behavioural research and risk analysis. They include seminal articles on three essential challenges. One is ensuring effective two-way communication between technical experts and the lay public, so that risk analyses address lay concerns and provide useful information to people who need it. The second is ensuring that analyses make realistic assumptions about human behaviours that affect risk levels (e.g., how people use pharmaceuticals, operate equipment, or respond to evacuation orders). The third is ensuring that analyses recognize the strengths and weaknesses of experts' understanding, using experts' knowledge, while understanding its limits. The articles include overviews of the science, essays on the role of risk in society, and applications to domains as diverse as environment, medicine, terrorism, human rights, chemicals, pandemics, vaccination, HIV/AIDS, xenotransplantation, sexual assault, energy, and climate change. The work involves collaborations among scientists from many disciplines, working with practitioners to produce and convey the knowledge needed help people make better risk decisions.

Behavioral decision research offers a distinctive approach to understanding and improving decision making. It combines theory and method from multiple disciples (psychology, economics, statistics, decision theory, management science). It employs both empirical methods, to study how decisions are actually made, and analytical ones, to study how decisions should be made and how consequential imperfections are. This book brings together key publications, selected to represent the major topics and approaches used in the field. Put in one place, with integrating commentary, it shows the common elements in a research program that represents the scope of the field, while offering depth in each. Together, they provide a vision for what has become a burgeoning field.

Behavioral decision research offers a distinctive approach to understanding and improving decision making. It combines theory and method from multiple disciples (psychology, economics, statistics, decision theory, management science). It employs both empirical methods, to study how decisions are actually made, and analytical ones, to study how decisions should be made and how consequential imperfections are. This book brings together key publications, selected to represent the major topics and approaches used in the field. Put in one place, with integrating commentary, it shows the common elements in a research program that represents the scope of the field, while offering depth in each. Together, they provide a vision for what has become a burgeoning field.

The articles collected here are foundational contributions to integrating behavioural research and risk analysis. They include seminal articles on three essential challenges. One is ensuring effective two-way communication between technical experts and the lay public, so that risk analyses address lay concerns and provide useful information to people who need it. The second is ensuring that analyses make realistic assumptions about human behaviours that affect risk levels (e.g., how people use pharmaceuticals, operate equipment, or respond to evacuation orders). The third is ensuring that analyses recognize the strengths and weaknesses of experts' understanding, using experts' knowledge, while understanding its limits. The articles include overviews of the science, essays on the role of risk in society, and applications to domains as diverse as environment, medicine, terrorism, human rights, chemicals, pandemics, vaccination, HIV/AIDS, xenotransplantation, sexual assault, energy, and climate change. The work involves collaborations among scientists from many disciplines, working with practitioners to produce and convey the knowledge needed help people make better risk decisions.

Economists and psychologists have, on the whole, exhibited sharply different perspectives on the elicitation of preferences. Economists, who have made preference the central primitive in their thinking about human behavior, have for the most part rejected elicitation and have instead sought to infer preferences from observations of choice behavior. Psychologists, who have tended to think of preference as a context-determined subjective construct, have embraced elicitation as their dominant approach to measurement. This volume, based on a symposium organized by Daniel McFadden at the University of California at Berkeley, provides a provocative and constructive engagement between economists and psychologists on the elicitation of preferences.

Economists and psychologists have, on the whole, exhibited sharply different perspectives on the elicitation of preferences. Economists, who have made preference the central primitive in their thinking about human behavior, have for the most part rejected elicitation and have instead sought to infer preferences from observations of choice behavior. Psychologists, who have tended to think of preference as a context-determined subjective construct, have embraced elicitation as their dominant approach to measurement. This volume, based on a symposium organized by Daniel McFadden at the University of California at Berkeley, provides a provocative and constructive engagement between economists and psychologists on the elicitation of preferences.

We find risks everywhere-from genetically modified crops, medical malpractice, and stem-cell therapy to intimacy, online predators, identity theft, inflation, and robbery. They arise from our own acts and they are imposed on us. In this Very Short Introduction, Baruch Fischhoff and John Kadvany draw on the sciences and humanities to explore and explain the many kinds of risk. Using simple conceptual frameworks from decision theory and behavioural research, they examine the science and practice of creating measures of risk, showing how scientists address risks by combining historical records, scientific theories, probability, and expert judgment.Risk: A Very Short Introduction describes what has been learned by cognitive scientists about how people deal with risks, applying these lessons to diverse examples, and demonstrating how understanding risk can aid choices in everyday life and public policies for health, safety, environment, finance, and many other topics. ABOUT THE SERIES: The Very Short Introductions series from Oxford University Press contains hundreds of titles in almost every subject area. These pocket-sized books are the perfect way to get ahead in a new subject quickly. Our expert authors combine facts, analysis, perspective, new ideas, and enthusiasm to make interesting and challenging topics highly readable.

The U.S. intelligence community (IC) is a complex human enterprise whose success depends on how well the people in it perform their work. Although often aided by sophisticated technologies, these people ultimately rely on their own intellect to identify, synthesize, and communicate the information on which the nation's security depends. The IC's success depends on having trained, motivated, and thoughtful people working within organizations able to understand, value, and coordinate their capabilities. Intelligence Analysis provides up-to-date scientific guidance for the intelligence community (IC) so that it might improve individual and group judgments, communication between analysts, and analytic processes. The papers in this volume provide the detailed evidentiary base for the National Research Council's report, Intelligence Analysis for Tomorrow: Advances from the Behavioral and Social Sciences. The opening chapter focuses on the structure, missions, operations, and characteristics of the IC while the following 12 papers provide in-depth reviews of key topics in three areas: analytic methods, analysts, and organizations. Informed by the IC's unique missions and constraints, each paper documents the latest advancements of the relevant science and is a stand-alone resource for the IC's leadership and workforce. The collection allows readers to focus on one area of interest (analytic methods, analysts, or organizations) or even one particular aspect of a category. As a collection, the volume provides a broad perspective of the issues involved in making difficult decisions, which is at the heart of intelligence analysis.

A popular myth emerged in the late 1990s: in 1900, wars killed one civilian for every eight soldiers, while contemporary wars were killing eight civilians for every one soldier. The neat reversal of numbers was memorable, and academic publications and UN documents regularly cited it. The more it was cited, the more trusted it became. In fact, however, subsequent research found no empirical evidence for the idea that the ratio of civilians to soldiers killed in war has changed dramatically. But while the ratios may not have changed, the political significance of civilian casualties has risen tremendously. Over the past century, civilians in war have gone from having no particular rights to having legal protections and rights that begin to rival those accorded to states. The concern for civilians in conflict has become so strong that governments occasionally undertake humanitarian interventions, at great risk and substantial cost, to protect strangers in distant lands. I n the early 1990s, the UN Security Council authorized military interventions to help feed and protect civilians in the Kurdish area of Iraq, Somalia, and Bosnia. And in May 2011 , Barack Obama 's National Security Advisor explained the United States' decision to support NATO's military intervention in these terms "When the president made this decision, there was an immediate threat to 700,000 Libyan civilians in the town of Benghazi. We've had a success here in terms of being able to protect those civilians." Counting Civilian Casualties aims to promote open scientific dialogue by high lighting the strengths and weaknesses of the most commonly used casualty recording and estimation techniques in an understandable format. Its thirteen chapters, each authoritative but accessible to nonspecialists, explore a variety of approaches, from direct recording to statistical estimation and sampling, to collecting data on civilian deaths caused by conflict. The contributors also discuss their respective advantages and disadvantages, and analyze how figures are used (and misused) by governments, rebels, human rights advocates, war crimes tribunals, and others. In addition to providing analysts with a broad range of tools to produce accurate data, this will be an in valuable resource for policymakers, military officials, jou rnalists, human rights activists, courts, and ordinary people who want to be more informed-and skeptical-consumers of casualty counts.

This book explains how to develop more effective risk communications using the Carnegie Mellon mental-model approach. Such communications are designed to contain, in readily usable form, the information that people need to make informed decisions about risks to health, safety, and the environment. The approach draws together methods from the natural and social sciences, providing a framework for interdisciplinary collaboration. It is demostrated with varied examples including electromagnetic fields, climate change, radon, and sexually transmitted diseases.

The common denominator of a growing number of hard decisions facing modern societies is the need to determine, "How safe is safe enough?" Nuclear power, recombinant DNA, food additives, and the DC-10 are just a few of the products of technological progress that raise this question. The authors begin by defining acceptable-risk problems and analyzing why they are so difficult to resolve, considering such issues as uncertainty about their definition, lack of relevant facts, conflicting and conflicted social values, and disagreements between technical experts and the lay public. Drawing on their own experience in risk management as well as the relevant research literatures in psychology, engineering, operations research, economics, management and political science, they identify and characterize the variety of methods that have been proposed for resolving acceptable-risk problems. They subject these methods to a rigorous critique in terms of philosophical presuppositions, technical feasibility, political acceptability, and validity of underlying assumptions about human behavior. The authors construct a framework for deciding how to make decisions about risks, and offer recommendations for research, public policy, and practice. Although their principal focus is on technological hazards, their analysis applies to many risks, such as those from new medical treatments or innovative programs in criminal justice.

The necessity of balancing risks and benefits impinges on most people's lives, and a broad audience will find this book thought-provoking and useful. They include all those concerned with the management of technology--scientists, engineers, policy-makers and regulators, as well as a growing number of concerned citizens--and all those interested in the nature of decision processes, including psychologists, management and political scientists, and their students. The book presupposes no mathematical or technical background on the part of readers.

This book explains how to develop more effective risk communications using the Carnegie Mellon mental-model approach. Such communications are designed to contain, in readily usable form, the information that people need to make informed decisions about risks to health, safety, and the environment. The approach draws together methods from the natural and social sciences, providing a framework for interdisciplinary collaboration. It is demostrated with varied examples including electromagnetic fields, climate change, radon, and sexually transmitted diseases.