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This volume contends that Evidential Pluralism—an account of the epistemology of causation, which maintains that in order to establish a causal claim one needs to establish the existence of a correlation and the existence of a mechanism—can be fruitfully applied to the social sciences. Through case studies in sociology, economics, political science and law, it advances new philosophical foundations for causal enquiry in the social sciences. The book provides an account of how to establish and evaluate causal claims and it offers a new way of thinking about evidence-based policy, basic social science research and mixed methods research. As such, it will appeal to scholars with interests in social science research and methodology, the philosophy of science and evidence-based policy.
This book offers an integrated historical and philosophical examination of the origin of genetics. The author contends that an integrated HPS analysis helps us to have a better understanding of the history of genetics, and sheds light on some general issues in the philosophy of science. This book consists of three parts. It begins with historical problems, revisiting the significance of the work of Mendel, de Vries, and Weldon. Then it turns to integrated HPS problems, developing an exemplar-based analysis of the development and the progress in early genetics. Finally, it discusses philosophical problems: conceptual change, evidence, and theory choice. Part I lays out a new historiography, serving as a basis for the discussions in part II and part III. Part II introduces a new integrated HPS method to analyse and interpret the historiography in Part I and to re-examine the philosophical issues in Part III. Part III develops new philosophical accounts which will in turn make a better sense of the history of scientific practice more generally. This book provides a practical defence of integrated HPS: the best way to defend integrated HPS is to do it.
In recent years the philosophy of information has emerged as an important area of research in philosophy. However, until now information’s philosophical history has been largely overlooked. Information and the History of Philosophy is the first comprehensive investigation of the history of philosophical questions around information, including work from before the Common Era to the twenty-first century. It covers scientific and technology-centred notions of information, views of human information processing, as well as socio-political topics such as the control and use of information in societies. Organised into five parts, 19 chapters by an international team of contributors cover the following topics and more: Information before 500 CE, including ancient Chinese, Greek and Roman approaches to information; Early theories of information processing, sources of information and cognition; Information and computation in Leibniz, visualised scientific information, copyright and social reform; The nineteenth century, including biological information, knowledge economies and information’s role in empire and eugenics; Recent and contemporary philosophy of information, including racialised information, Shannon information and the very idea of an information revolution. Information and the History of Philosophy is a landmark publication in this emerging field. As such, it is essential reading for students and researchers in the history of philosophy, philosophy of science and technology, and library and information studies. It is also a valuable resource for those working in subjects such as the history of science, media and communication studies and intellectual history.
Steel argues that previous accounts of extrapolation are inadequate and proposes a better approach that is able to answer methodological critiques of extrapolation from animal models to humans. His work develops the thought that knowledge of mechanisms linking cause to effect can serve as a basis for extrapolation.
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.
This groundbreaking, open access volume analyses and compares data practices across several fields through the analysis of specific cases of data journeys. It brings together leading scholars in the philosophy, history and social studies of science to achieve two goals: tracking the travel of data across different spaces, times and domains of research practice; and documenting how such journeys affect the use of data as evidence and the knowledge being produced. The volume captures the opportunities, challenges and concerns involved in making data move from the sites in which they are originally produced to sites where they can be integrated with other data, analysed and re-used for a variety of purposes. The in-depth study of data journeys provides the necessary ground to examine disciplinary, geographical and historical differences and similarities in data management, processing and interpretation, thus identifying the key conditions of possibility for the widespread data sharing associated with Big and Open Data. The chapters are ordered in sections that broadly correspond to different stages of the journeys of data, from their generation to the legitimisation of their use for specific purposes. Additionally, the preface to the volume provides a variety of alternative “roadmaps” aimed to serve the different interests and entry points of readers; and the introduction provides a substantive overview of what data journeys can teach about the methods and epistemology of research.
Philosophical Foundations of Mixed Methods Research provides a comprehensive examination of the philosophical foundations of mixed methods research. It offers new defences of the seven main approaches to mixed methods (the pragmatist approach, the transformative approach, the indigenous approach, the dialectical approach, the dialectical pluralist approach, the performative approach, and the realist approach) written by leading mixed methods researchers. Each approach is accompanied by critical reflections chapter from philosophers’ point of view. The book shows the value of the use of mixed methods from a philosophical point of view and offers a systematic and critical examination of these positions and approaches from a philosophical point of view. The volume also offers a platform to promote a dialogue between mixed methods researchers and philosophers of science and provides foundations for further research and teaching of this hotly debated topic. This volume is ideal for researchers and advanced students, and anyone who is interested in research methods and the social sciences more generally.
What is social visibility? How does it affect people and public issues? How are visibility regimes created, organized and contested? Tackling both social theory and social research, the book is an exploration into how intervisibilities produce crucial sociotechnical and biopolitical effects.
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.
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.