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Policy- and decision-makers in government and industry constantly face important decisions without full knowledge of all the facts. They rely routinely on expert advice to fill critical scientific knowledge gaps. There are unprecedented opportunities for experts to influence decisions. Yet even the most experienced can be over-confident and error-prone, and the hidden risk is that scientists and other experts can over-reach, often with good intentions, placing more weight on the evidence they provide than is warranted. This book describes how to identify potentially risky advice, explains why group judgements outperform individual estimates, and provides an accessible and up-to-date guide to the science of expert judgement. Finally, and importantly, it outlines a simple, practical framework that will help policy- and decision-makers to ensure that the advice that they receive is relatively reliable and accurate, thus substantially improving the quality of information on which critical decisions are made.
With climate change and increasing globalisation of trade and travel, the risks presented by invasive pests and pathogens to natural environments, agriculture and economies have never been greater, and are only increasing with time. Governments world-wide are responding to these increased threats by strengthening quarantine and biosecurity. This book presents a comprehensive review of risk-based techniques that help policy makers and regulators protect national interests from invasive pests and pathogens before, at, and inside national borders. Selected from the research corpus of the Centre of Excellence for Biosecurity Risk Analysis at the University of Melbourne, this book provides solutions that reflect scientific rigour coupled with practical, hands-on applications. Focusing on surveillance, stochastic modelling, intelligence gathering, decision making and risk communication, the contents combine the strengths of risk analysts, mathematicians, economists, biologists and statisticians. The book presents tested scientific solutions to the greatest challenges faced by quarantine and biosecurity policy makers and regulators today.
With climate change and increasing globalisation of trade and travel, the risks presented by invasive pests and pathogens to natural environments, agriculture and economies have never been greater, and are only increasing with time. Governments world-wide are responding to these increased threats by strengthening quarantine and biosecurity. This book presents a comprehensive review of risk-based techniques that help policy makers and regulators protect national interests from invasive pests and pathogens before, at, and inside national borders. Selected from the research corpus of the Centre of Excellence for Biosecurity Risk Analysis at the University of Melbourne, this book provides solutions that reflect scientific rigour coupled with practical, hands-on applications. Focusing on surveillance, stochastic modelling, intelligence gathering, decision making and risk communication, the contents combine the strengths of risk analysts, mathematicians, economists, biologists and statisticians. The book presents tested scientific solutions to the greatest challenges faced by quarantine and biosecurity policy makers and regulators today.
Policy- and decision-makers in government and industry constantly face important decisions without full knowledge of all the facts. They rely routinely on expert advice to fill critical scientific knowledge gaps. There are unprecedented opportunities for experts to influence decisions. Yet even the most experienced can be over-confident and error-prone, and the hidden risk is that scientists and other experts can over-reach, often with good intentions, placing more weight on the evidence they provide than is warranted. This book describes how to identify potentially risky advice, explains why group judgements outperform individual estimates, and provides an accessible and up-to-date guide to the science of expert judgement. Finally, and importantly, it outlines a simple, practical framework that will help policy- and decision-makers to ensure that the advice that they receive is relatively reliable and accurate, thus substantially improving the quality of information on which critical decisions are made.
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