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Post-factual politics has united scientists and civil society in a public defence of truth, however, the battle may already have been lost to a binarity of facts and emotions. Analysing and comparing scientists' protests against the Trump presidency with famous scientific controversies in modern medicine, this innovative book redefines truth as a negotiation in public discourse between the interplay of values, beliefs and facts. It shows that in order to understand post-factual politics we must unveil emotion's role in knowledge-making.
In A Woman's Kingdom, Michelle Lamarche Marrese explores the development of Russian noblewomen's unusual property rights. In contrast to women in Western Europe, who could not control their assets during marriage until the second half of the nineteenth century, married women in Russia enjoyed the right to alienate and manage their fortunes beginning in 1753. Marrese traces the extension of noblewomen's right to property and places this story in the broader context of the evolution of private property in Russia before the Great Reforms of the 1860s. Historians have often dismissed women's property rights as meaningless. In the patriarchal society of Imperial Russia, a married woman could neit...
This book articulates the key theoretical assumptions of poststructuralism, but also probes its limits, evaluates rival approaches and elaborates new concepts. Building on the work of Derrida, Foucault, Heidegger, Lacan, Laclau, Lévi–Strauss, Marx, Saussure and Žižek, the book also provides a distinctive version of the poststructuralist project.
This book reconceptualises the idea of “post-truth”. It does not limit the domain of post-truth to the production factories of fake news. Drawing on examples such as Trump, War on Terror, anti-vaccination, climate change denial, denial of scientific facts about smoking, and so forth, it analyses the concept through a new theoretical lens which focuses on the specificity of post-truth discourses. Further, the volume develops a guide to operationalise post-truth discourse and makes use of Pakistan as a case study to illustrate post-truth discourses in Pakistani newspapers and implements an experiment to measure the effects of post-truth rhetoric on political attitudes. The volume will be essential reading for students, scholars, and researchers of media and communication studies, politics, and South Asian studies.
In Power Without Knowledge: A Critique of Technocracy (2019), Jeffrey Friedman presented a sweeping reinterpretation of modern politics and government as technocratic, even in many of its democratic dimensions. Building on a new definition of technocracy as governance aimed at solving social and economic problems, Friedman showed that the epistemic demands that such governance places on political elites and ordinary people alike may be overwhelming if technocrats fail to attend to the ideational heterogeneity of the human beings whose control is the object of technocratic power. Yet a recognition of ideational heterogeneity considerably complicates the task of predicting behavior, which is e...
This book considers a range of contemporary approaches to public policy studies. These approaches are based on a number of theoretical perspectives on decision-making, as well as alternative perspectives on policy instruments and implementation. The range of approaches covered in the volume includes punctuated equilibrium models, the advocacy-coalition framework, multiple streams approaches, institutional analyses, constructivist approaches, behavioural models, and the use of instruments as an approach to public policy. The volume concludes with a discussion of fundamental issues of democracy in public policy.
From the National Review to Breitbart, from Fox News to Rush Limbaugh, conservative news is an inescapable feature of modern politics. Since the early days of mass communication, right-wing media producers have blended reporting with commentary, narrating the news of the day from a perspective informed by conservative worldviews and partisanship. News on the Right seeks to initiate a new interdisciplinary field of scholarly research focused on the study of right-wing media and conservative news. Editors Anthony Nadler and A.J. Bauer gather a range of voices, presenting an interdisciplinary investigation into the practices and patterns of meaning-making in the production, circulation, and con...
What happens when ethnographers go public via books, opinion papers, media interviews, court testimonies, policy recommendations, or advocacy activities? Calling for a consideration of this public moment as part and parcel of the research process, the contributors to If Truth Be Told explore the challenges, difficulties, and stakes of having ethnographic research encounter various publics, ranging from journalists, legal experts, and policymakers to activist groups, local populations, and other scholars. The experiences they analyze include Didier Fassin’s interventions on police and prison, Gabriella Coleman's multiple roles as intermediary between hackers and journalists, Kelly Gillespie...
The study of public policy and the methods of policy analysis are among the most rapidly developing areas in the social sciences. Policy analysis has emerged to provide a better understanding of the policymaking process and to supply decision makers with reliable policy-relevant knowledge about pressing economic and social problems. Presenting a broad, comprehensive perspective, the Handbook of Public Policy Analysis: Theory, Politics, and Methods covers the historical development of policy analysis, its role in the policy process, and empirical methods. The handbook considers the theory generated by these methods and the normative and ethical issues surrounding their practice. Written by le...
Data driven Artificial Intelligence (AI) and Machine Learning (ML) in digital pathology, radiology, and dermatology is very promising. In specific cases, for example, Deep Learning (DL), even exceeding human performance. However, in the context of medicine it is important for a human expert to verify the outcome. Consequently, there is a need for transparency and re-traceability of state-of-the-art solutions to make them usable for ethical responsible medical decision support. Moreover, big data is required for training, covering a wide spectrum of a variety of human diseases in different organ systems. These data sets must meet top-quality and regulatory criteria and must be well annotated for ML at patient-, sample-, and image-level. Here biobanks play a central and future role in providing large collections of high-quality, well-annotated samples and data. The main challenges are finding biobanks containing ‘‘fit-for-purpose’’ samples, providing quality related meta-data, gaining access to standardized medical data and annotations, and mass scanning of whole slides including efficient data management solutions.