Uncertainty And Quality In Science For Policy
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| Author | : S.O. Funtowicz |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 254 |
| Release | : 2012-12-06 |
| Genre | : Social Science |
| ISBN | : 9400906218 |
This book explains the notational system NUSAP (Numeral, Unit, Spread, Assessment, Pedigree) and applies it to several examples from the environmental sciences. The authors are now making further extensions of NUSAP, including an algorithm for the propagation of quality-grades through models used in risk and safety studies. They are also developing the concept of `Post-normal Science', in which quality assurance of information requires the participation of `extended peer-communities' lying outside the traditional expertise.
| Author | : Vladimir Sucha |
| Publisher | : Elsevier |
| Total Pages | : 288 |
| Release | : 2020-07-29 |
| Genre | : Business & Economics |
| ISBN | : 0128225963 |
Science for Policy Handbook provides advice on how to bring science to the attention of policymakers. This resource is dedicated to researchers and research organizations aiming to achieve policy impacts. The book includes lessons learned along the way, advice on new skills, practices for individual researchers, elements necessary for institutional change, and knowledge areas and processes in which to invest. It puts co-creation at the centre of Science for Policy 2.0, a more integrated model of knowledge-policy relationship. Covers the vital area of science for policymaking Includes contributions from leading practitioners from the Joint Research Centre/European Commission Provides key skills based on the science-policy interface needed for effective evidence-informed policymaking Presents processes of knowledge production relevant for a more holistic science-policy relationship, along with the types of knowledge that are useful in policymaking
| Author | : National Research Council |
| Publisher | : National Academies Press |
| Total Pages | : 200 |
| Release | : 2002-11-29 |
| Genre | : Technology & Engineering |
| ISBN | : 030916933X |
Genetic-based animal biotechnology has produced new food and pharmaceutical products and promises many more advances to benefit humankind. These exciting prospects are accompanied by considerable unease, however, about matters such as safety and ethics. This book identifies science-based and policy-related concerns about animal biotechnologyâ€"key issues that must be resolved before the new breakthroughs can reach their potential. The book includes a short history of the field and provides understandable definitions of terms like cloning. Looking at technologies on the near horizon, the authors discuss what we know and what we fear about their effectsâ€"the inadvertent release of dangerous microorganisms, the safety of products derived from biotechnology, the impact of genetically engineered animals on their environment. In addition to these concerns, the book explores animal welfare concerns, and our societal and institutional capacity to manage and regulate the technology and its products. This accessible volume will be important to everyone interested in the implications of the use of animal biotechnology.
| Author | : Roger M. Cooke |
| Publisher | : Oxford University Press |
| Total Pages | : 334 |
| Release | : 1991-10-24 |
| Genre | : Science |
| ISBN | : 0195362373 |
This book is an extensive survey and critical examination of the literature on the use of expert opinion in scientific inquiry and policy making. The elicitation, representation, and use of expert opinion is increasingly important for two reasons: advancing technology leads to more and more complex decision problems, and technologists are turning in greater numbers to "expert systems" and other similar artifacts of artificial intelligence. Cooke here considers how expert opinion is being used today, how an expert's uncertainty is or should be represented, how people do or should reason with uncertainty, how the quality and usefulness of expert opinion can be assessed, and how the views of several experts might be combined. He argues for the importance of developing practical models with a transparent mathematic foundation for the use of expert opinion in science, and presents three tested models, termed "classical," "Bayesian," and "psychological scaling." Detailed case studies illustrate how they can be applied to a diversity of real problems in engineering and planning.
| Author | : Sharon M. Friedman |
| Publisher | : Routledge |
| Total Pages | : 347 |
| Release | : 2012-10-12 |
| Genre | : Language Arts & Disciplines |
| ISBN | : 1135683425 |
Exploring the interactions that swirl around scientific uncertainty and its coverage by the mass media, this volume breaks new ground by looking at these issues from three different perspectives: that of communication scholars who have studied uncertainty in a number of ways; that of science journalists who have covered these issues; and that of scientists who have been actively involved in researching uncertain science and talking to reporters about it. In particular, Communicating Uncertainty examines how well the mass media convey to the public the complexities, ambiguities, and controversies that are part of scientific uncertainty. In addition to its new approach to scientific uncertainty and mass media interactions, this book distinguishes itself in the quality of work it assembles by some of the best known science communication scholars in the world. This volume continues the exploration of interactions between scientists and journalists that the three coeditors first documented in their highly successful volume, Scientists and Journalists: Reporting Science as News, which was used for many years as a text in science journalism courses around the world.
| Author | : National Academies of Sciences, Engineering, and Medicine |
| Publisher | : National Academies Press |
| Total Pages | : 153 |
| Release | : 2017-03-08 |
| Genre | : Science |
| ISBN | : 0309451051 |
Science and technology are embedded in virtually every aspect of modern life. As a result, people face an increasing need to integrate information from science with their personal values and other considerations as they make important life decisions about medical care, the safety of foods, what to do about climate change, and many other issues. Communicating science effectively, however, is a complex task and an acquired skill. Moreover, the approaches to communicating science that will be most effective for specific audiences and circumstances are not obvious. Fortunately, there is an expanding science base from diverse disciplines that can support science communicators in making these determinations. Communicating Science Effectively offers a research agenda for science communicators and researchers seeking to apply this research and fill gaps in knowledge about how to communicate effectively about science, focusing in particular on issues that are contentious in the public sphere. To inform this research agenda, this publication identifies important influences â€" psychological, economic, political, social, cultural, and media-related â€" on how science related to such issues is understood, perceived, and used.
| Author | : Kostas Kampourakis |
| Publisher | : Oxford University Press, USA |
| Total Pages | : 273 |
| Release | : 2020 |
| Genre | : Philosophy |
| ISBN | : 0190871660 |
Anti-evolutionists, climate denialists, and anti-vaxxers, among others, question some of the best-established scientific findings by referring to the uncertainties in these areas of research. Uncertainty: How It Makes Science Advance shows that uncertainty is an inherent feature of science that makes it advance by motivating further research.
| Author | : National Academies of Sciences, Engineering, and Medicine |
| Publisher | : National Academies Press |
| Total Pages | : 257 |
| Release | : 2019-10-20 |
| Genre | : Science |
| ISBN | : 0309486165 |
One of the pathways by which the scientific community confirms the validity of a new scientific discovery is by repeating the research that produced it. When a scientific effort fails to independently confirm the computations or results of a previous study, some fear that it may be a symptom of a lack of rigor in science, while others argue that such an observed inconsistency can be an important precursor to new discovery. Concerns about reproducibility and replicability have been expressed in both scientific and popular media. As these concerns came to light, Congress requested that the National Academies of Sciences, Engineering, and Medicine conduct a study to assess the extent of issues related to reproducibility and replicability and to offer recommendations for improving rigor and transparency in scientific research. Reproducibility and Replicability in Science defines reproducibility and replicability and examines the factors that may lead to non-reproducibility and non-replicability in research. Unlike the typical expectation of reproducibility between two computations, expectations about replicability are more nuanced, and in some cases a lack of replicability can aid the process of scientific discovery. This report provides recommendations to researchers, academic institutions, journals, and funders on steps they can take to improve reproducibility and replicability in science.
| Author | : Sander van der Linden |
| Publisher | : Routledge |
| Total Pages | : 97 |
| Release | : 2019-06-10 |
| Genre | : Business & Economics |
| ISBN | : 1000022625 |
This edited volume looks at whether it is possible to be more transparent about uncertainty in scientific evidence without undermining public understanding and trust. With contributions from leading experts in the field, this book explores the communication of risk and decision-making in an increasingly post-truth world. Drawing on case studies from climate change to genetic testing, the authors argue for better quality evidence synthesis to cut through the noise and highlight the need for more structured public dialogue. For uncertainty in scientific evidence to be communicated effectively, they conclude that trustworthiness is vital: the data and methods underlying statistics must be transparent, valid, and sound, and the numbers need to demonstrate practical utility and add social value to people’s lives. Presenting a conceptual framework to help navigate the reader through the key social and scientific challenges of a post-truth era, this book will be of great relevance to students, scholars, and policy makers with an interest in risk analysis and communication.
| Author | : Justus Lentsch |
| Publisher | : Cambridge University Press |
| Total Pages | : 403 |
| Release | : 2011-06-02 |
| Genre | : Political Science |
| ISBN | : 1139502840 |
Controversies over issues such as genetically engineered food, foot-and-mouth disease and the failure of risk models in the global financial crisis have raised concerns about the quality of expert scientific advice. The legitimacy of experts, and of the political decision-makers and policy-makers whom they advise, essentially depends on the quality of the advice. But what does quality mean in this context, and how can it be achieved? This volume argues that the quality of scientific advice can be ensured by an appropriate institutional design of advisory organisations. Using examples from a wide range of international case studies, including think tanks, governmental research institutes, agencies and academies, the authors provide a systematic guide to the major problems and pitfalls encountered in scientific advice and the means by which organisations around the world have solved these problems.
