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This book presents detailed accounts of policymaking in contemporary risk communication. Specifically, it expands on the understanding of the policy decision-making process where there is little or no evidential base, and where multiple interpretations, power dynamics and values shape the interpretation of public health risk issues. The book argues that public health risk communication is a process embedded within multiple dimensions of power and set out practical way forward for public health risk communication.
On topics from genetic engineering and mad cow disease to vaccination and climate change, this Handbook draws on the insights of 57 leading science of science communication scholars who explore what social scientists know about how citizens come to understand and act on what is known by science.
Public policy can be considered a design science. It involves identifying relevant problems, selecting instruments to address the problem, developing institutions for managing the intervention, and creating means of assessing the design. Policy design has become an increasingly challenging task, given the emergence of numerous ‘wicked’ and complex problems. Much of policy design has adopted a technocratic and engineering approach, but there is an emerging literature that builds on a more collaborative and prospective approach to design. This book will discuss these issues in policy design and present alternative approaches to design.
Transformational Public Policy examines how governments can more effectively handle uncertainty and risk in an uncertain and changing world. Unpredictable and changing circumstances often bring nasty surprises that can increase waste in governance and public debt. This book illustrates how new methods derived from signal processing techniques can improve the practice of public policy by transforming it through rapid learning and adaptation. Interventions are processes of discovery, not compliance. Transformational Public Policy shows readers how the power of hypothesis testing in governance can be deployed. The book argues that public policy can be framed as tests of competing hypotheses subject to diagnostic errors. The aim is to learn how to reduce these diagnostic errors through cumulative experience. This approach can reduce the impact of negative unintended consequences -- a topic of great interest to policy makers and academics alike.
In 1999, Texas passed a landmark clean energy law, beginning a groundswell of new policies that promised to make the US a world leader in renewable energy. As Leah Stokes shows in Short Circuiting Policy, however, that policy did not lead to momentum in Texas, which failed to implement its solar laws or clean up its electricity system. Examining clean energy laws in Texas, Kansas, Arizona, and Ohio over a thirty-year time frame, Stokes argues that organized combat between advocate and opponent interest groups is central to explaining why states are not on track to address the climate crisis. She tells the political history of our energy institutions, explaining how fossil fuel companies and electric utilities have promoted climate denial and delay. Stokes further explains the limits of policy feedback theory, showing the ways that interest groups drive retrenchment through lobbying, public opinion, political parties and the courts. More than a history of renewable energy policy in modern America, Short Circuiting Policy offers a bold new argument about how the policy process works, and why seeming victories can turn into losses when the opposition has enough resources to roll back laws.
Attention in the AI safety community has increasingly started to include strategic considerations of coordination between relevant actors in the field of AI and AI safety, in addition to the steadily growing work on the technical considerations of building safe AI systems. This shift has several reasons: Multiplier effects, pragmatism, and urgency. Given the benefits of coordination between those working towards safe superintelligence, this book surveys promising research in this emerging field regarding AI safety. On a meta-level, the hope is that this book can serve as a map to inform those working in the field of AI coordination about other promising efforts. While this book focuses on AI safety coordination, coordination is important to most other known existential risks (e.g., biotechnology risks), and future, human-made existential risks. Thus, while most coordination strategies in this book are specific to superintelligence, we hope that some insights yield “collateral benefits” for the reduction of other existential risks, by creating an overall civilizational framework that increases robustness, resiliency, and antifragility.
Risk is a popular topic in many sciences - in natural, medical, statistical, engineering, social, economic and legal disciplines. Yet, no single discipline can grasp the full meaning of risk. Investigating risk requires a multidisciplinary approach. The authors, coming from two very different disciplinary traditions, meet this challenge by building bridges between the engineering, the statistical and the social science perspectives. The book provides a comprehensive, accessible and concise guide to risk assessment, management and governance. A basic pillar for the book is the risk governance framework proposed by the International Risk Governance Council (IRGC). This framework offers a comprehensive means of integrating risk identification, assessment, management and communication. The authors develop and explain new insights and add substance to the various elements of the framework. The theoretical analysis is illustrated by several examples from different areas of applications.
As a contribution to public policy and to help educate students about natural resource issues, this book identifies the likely "hot spots" of environmental policy and presents alternative and often opposing points of view on the major controversies that are likely to be with us well into the next century. Among the topics covered are comparative risk assessment; market incentives in environmental regulation; environmental justice; public versus private management of public lands; international trade and sustainable development; and the relationship between national security and environmental protection.
The fully revised second edition of this textbook offers a comprehensive introduction to theories of public policy and policymaking. The policy process is complex: it contains hundreds of people and organisations from various levels and types of government, from agencies, quasi- and non-governmental organisations, interest groups and the private and voluntary sectors. This book sets out the major concepts and theories that are vital for making sense of the complexity of public policy, and explores how to combine their insights when seeking to explain the policy process. While a wide range of topics are covered – from multi-level governance and punctuated equilibrium theory to 'Multiple Streams' analysis and feminist institutionalism – this engaging text draws out the common themes among the variety of studies considered and tackles three key questions: what is the story of each theory (or multiple theories); what does policy theory tell us about issues like 'evidence based policymaking'; and how 'universal' are policy theories designed in the Global North? This book is the perfect companion for undergraduate and postgraduate students studying public policy, whether focussed on theory, analysis or the policy process, and it is essential reading for all those on MPP or MPM programmes. New to this Edition: - New sections on power, feminist institutionalism, the institutional analysis and development framework, the narrative policy framework, social construction and policy design - A consideration of policy studies in relation to the Global South in an updated concluding chapter - More coverage of policy formulation and tools, the psychology of policymaking and complexity theory - Engaging discussions of punctuated equilibrium, the advocacy coalition framework and multiple streams analysis
In this book leading scientists share their experiences and observations of developing and testing hypotheses, offering insights on the dangers of manipulating science for political gain. It describes how politicization--whether by misapplication, overextension, or outright manipulation of the scientific record to advance particular policy agendas--imposes expenditures of money, missed opportunities, and burdens on the economy.