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Techno-Scientific Practices
In scholarly debates, as well as in everyday parlance, we tend to pull science and technology apart: science gives us theory, and technology applies it. In practice, however, science and technologies are highly intertwined. In Techno-Scientific Practices: An Informational Approach, Federica Russo looks at the practice of science and elucidates the role of technologies and instruments in the process of knowledge production. In this exercise, it becomes evident that technologies cannot be analyzed on their own, but always in relation to epistemic agents. Thus, Techno-Scientific Practices emphasizes the importance of analyzing the process of knowledge production in techno-scientific contexts, in which there is a triad of relations to look at: us, the instruments, and the world. The book thus builds bridges between the philosophy of science, philosophy of technology, and science and technology studies in an unprecedent way.
Causality and Causal Modelling in the Social Sciences
This investigation into causal modelling presents the rationale of causality, i.e. the notion that guides causal reasoning in causal modelling. It is argued that causal models are regimented by a rationale of variation, nor of regularity neither invariance, thus breaking down the dominant Human paradigm. The notion of variation is shown to be embedded in the scheme of reasoning behind various causal models. It is also shown to be latent – yet fundamental – in many philosophical accounts. Moreover, it has significant consequences for methodological issues: the warranty of the causal interpretation of causal models, the levels of causation, the characterisation of mechanisms, and the interpretation of probability. This book offers a novel philosophical and methodological approach to causal reasoning in causal modelling and provides the reader with the tools to be up to date about various issues causality rises in social science.
Alternative Approaches to Causation
This volume focuses on alternatives to the two main philosophical approaches to causation: mechanistic explanation, and explanation in terms of difference-making. It explores the pluralistic, the fictionalist, the inferentialist, and the informational approaches, as well as the application of various approaches to natural and social sciences.
Causality in the Sciences
Why do ideas of how mechanisms relate to causality and probability differ so much across the sciences? Can progress in understanding the tools of causal inference in some sciences lead to progress in others? This book tackles these questions and others concerning the use of causality in the sciences.
Evidence Contestation
This book examines the practices of contesting evidence in democratically constituted knowledge societies. It provides a multifaceted view of the processes and conditions of evidence criticism and how they determine the dynamics of de- and re-stabilization of evidence. Evidence is an essential resource for establishing claims of validity, resolving conflicts, and legitimizing decisions. In recent times, however, evidence is being contested with increasing frequency. Such contestations vary in form and severity – from questioning the interpretation of data or the methodological soundness of studies to accusations of evidence fabrication. The contributors to this volume explore which actors,...
The Routledge Handbook of Philosophy of Public Health
In comparison to medicine, the professional field of public health is far less familiar. What is public health, and perhaps as importantly, what should public health be or become? How do causal concepts shape the public health agenda? How do study designs either promote or demote the environmental causal factors or health inequalities? How is risk understood, expressed, and communicated? Who is public health research centered on? How can we develop technologies so the benefits are more fairly distributed? Do people have a right to public health? How should we integrate ethics into public health practice? The Routledge Handbook of Philosophy of Public Health addresses these questions and more...
Integrative Approaches in Environmental Health and Exposome Research
Research on the relationship between health and the environment in a postgenomic context is increasingly aimed at understanding the various exposures as a whole, simultaneously taking into account data pertaining to the biology of organisms and the physical and social environment. Exposome research is a paradigmatic case of this new trend in environmental health studies. This book takes a multidisciplinary approach focusing on the conceptual, epistemological, and sociological reflections in the latest research on environmental and social determinants of health and disease. It offers a combination of theoretical and practical approaches and the authors are scholars from a multidisciplinary background (epidemiology, geography, philosophy of medicine and biology, sociology). Crucially, the book balances the benefit and cost of the integration of biological and social factors when modelling aetiology of disease.
Causality, Probability, and Medicine
Why is understanding causation so important in philosophy and the sciences? Should causation be defined in terms of probability? Whilst causation plays a major role in theories and concepts of medicine, little attempt has been made to connect causation and probability with medicine itself. Causality, Probability, and Medicine is one of the first books to apply philosophical reasoning about causality to important topics and debates in medicine. Donald Gillies provides a thorough introduction to and assessment of competing theories of causality in philosophy, including action-related theories, causality and mechanisms, and causality and probability. Throughout the book he applies them to impor...
Causation, Evidence, and Inference
In this book, Reiss argues in favor of a tight fit between evidence, concept and purpose in our causal investigations in the sciences. There is no doubt that the sciences employ a vast array of techniques to address causal questions such as controlled experiments, randomized trials, statistical and econometric tools, causal modeling and thought experiments. But how do these different methods relate to each other and to the causal inquiry at hand? Reiss argues that there is no "gold standard" in settling causal issues against which other methods can be measured. Rather, the various methods of inference tend to be good only relative to certain interpretations of the word "cause", and each interpretation, in turn, helps to address some salient purpose (prediction, explanation or policy analysis) but not others. The main objective of this book is to explore the metaphysical and methodological consequences of this view in the context of numerous cases studies from the natural and social sciences.
