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Chapter 2, 'Pay no attention to the model behind the curtain', Chapter 4, 'Mind the hubris: Complexity can misfire', and Chapter 8, ' Sensitivity auditing: A practical checklist for auditing decision-relevant models' are published open access and free to read or download from Oxford Academic The widespread use of mathematical models for policy-making and its social and political impact are at the core of this book. While the discussion of mathematical modelling generally centres around technical features, use, and type of model, the literature is increasingly acknowledging that the social nature of modelling, its biases and responsibilities, are equally worth investigating. This book tackles these emerging questions by adopting a multidisciplinary approach to investigate how current modelling practices address contemporary challenges, and fills a gap in the field, which has historically focused on statistical and algorithmic modes of producing numbers. Thanks to its multidisciplinary appeal, this book will be essential reading for modellers, public officials, policymakers, and scholars alike.
Includes Part 1, Number 1 & 2: Books and Pamphlets, Including Serials and Contributions to Periodicals (January - December)
First multi-year cumulation covers six years: 1965-70.
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In recent decades, developments in research technologies and therapeutic advances have generated immense public recognition for neuroscience. However, its origins as a field, often linked to partnerships and projects at various brain-focused research centres in the United States during the 1960s, can be traced much further back in time. In A New Field in Mind Frank Stahnisch documents and analyzes the antecedents of the modern neurosciences as an interdisciplinary field. Although postwar American research centres, such as Francis O. Schmitt's Neuroscience Research Program at MIT, brought the modern field to prominence, Stahnisch reveals the pioneering collaborations in the early brain scienc...