Download or read book On the Epistemology of Data Science written by Wolfgang Pietsch and published by Springer Nature. This book was released on 2021-12-10 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses controversies concerning the epistemological foundations of data science: Is it a genuine science? Or is data science merely some inferior practice that can at best contribute to the scientific enterprise, but cannot stand on its own? The author proposes a coherent conceptual framework with which these questions can be rigorously addressed. Readers will discover a defense of inductivism and consideration of the arguments against it: an epistemology of data science more or less by definition has to be inductivist, given that data science starts with the data. As an alternative to enumerative approaches, the author endorses Federica Russo’s recent call for a variational rationale in inductive methodology. Chapters then address some of the key concepts of an inductivist methodology including causation, probability and analogy, before outlining an inductivist framework. The inductivist framework is shown to be adequate and useful for an analysis of the epistemological foundations of data science. The author points out that many aspects of the variational rationale are present in algorithms commonly used in data science. Introductions to algorithms and brief case studies of successful data science such as machine translation are included. Data science is located with reference to several crucial distinctions regarding different kinds of scientific practices, including between exploratory and theory-driven experimentation, and between phenomenological and theoretical science. Computer scientists, philosophers and data scientists of various disciplines will find this philosophical perspective and conceptual framework of great interest, especially as a starting point for further in-depth analysis of algorithms used in data science.
Download or read book Data Science and Social Research written by N. Carlo Lauro and published by Springer. This book was released on 2017-11-17 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited volume lays the groundwork for Social Data Science, addressing epistemological issues, methods, technologies, software and applications of data science in the social sciences. It presents data science techniques for the collection, analysis and use of both online and offline new (big) data in social research and related applications. Among others, the individual contributions cover topics like social media, learning analytics, clustering, statistical literacy, recurrence analysis and network analysis. Data science is a multidisciplinary approach based mainly on the methods of statistics and computer science, and its aim is to develop appropriate methodologies for forecasting and decision-making in response to an increasingly complex reality often characterized by large amounts of data (big data) of various types (numeric, ordinal and nominal variables, symbolic data, texts, images, data streams, multi-way data, social networks etc.) and from diverse sources. This book presents selected papers from the international conference on Data Science & Social Research, held in Naples, Italy in February 2016, and will appeal to researchers in the social sciences working in academia as well as in statistical institutes and offices.
Download or read book Data Journeys in the Sciences written by Sabina Leonelli and published by Springer Nature. This book was released on 2020-06-29 with total page 411 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Applied Data Science in Tourism written by Roman Egger and published by Springer Nature. This book was released on 2022-01-31 with total page 647 pages. Available in PDF, EPUB and Kindle. Book excerpt: Access to large data sets has led to a paradigm shift in the tourism research landscape. Big data is enabling a new form of knowledge gain, while at the same time shaking the epistemological foundations and requiring new methods and analysis approaches. It allows for interdisciplinary cooperation between computer sciences and social and economic sciences, and complements the traditional research approaches. This book provides a broad basis for the practical application of data science approaches such as machine learning, text mining, social network analysis, and many more, which are essential for interdisciplinary tourism research. Each method is presented in principle, viewed analytically, and its advantages and disadvantages are weighed up and typical fields of application are presented. The correct methodical application is presented with a "how-to" approach, together with code examples, allowing a wider reader base including researchers, practitioners, and students entering the field. The book is a very well-structured introduction to data science – not only in tourism – and its methodological foundations, accompanied by well-chosen practical cases. It underlines an important insight: data are only representations of reality, you need methodological skills and domain background to derive knowledge from them - Hannes Werthner, Vienna University of Technology Roman Egger has accomplished a difficult but necessary task: make clear how data science can practically support and foster travel and tourism research and applications. The book offers a well-taught collection of chapters giving a comprehensive and deep account of AI and data science for tourism - Francesco Ricci, Free University of Bozen-Bolzano This well-structured and easy-to-read book provides a comprehensive overview of data science in tourism. It contributes largely to the methodological repository beyond traditional methods. - Rob Law, University of Macau
Download or read book Big Data written by Wolfgang Pietsch and published by Cambridge University Press. This book was released on 2021-02-18 with total page 75 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big Data and methods for analyzing large data sets such as machine learning have in recent times deeply transformed scientific practice in many fields. However, an epistemological study of these novel tools is still largely lacking. After a conceptual analysis of the notion of data and a brief introduction into the methodological dichotomy between inductivism and hypothetico-deductivism, several controversial theses regarding big data approaches are discussed. These include, whether correlation replaces causation, whether the end of theory is in sight and whether big data approaches constitute entirely novel scientific methodology. In this Element, I defend an inductivist view of big data research and argue that the type of induction employed by the most successful big data algorithms is variational induction in the tradition of Mill's methods. Based on this insight, the before-mentioned epistemological issues can be systematically addressed.
Download or read book Data Centric Biology written by Sabina Leonelli and published by University of Chicago Press. This book was released on 2016-11-18 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent decades, there has been a major shift in the way researchers process and understand scientific data. Digital access to data has revolutionized ways of doing science in the biological and biomedical fields, leading to a data-intensive approach to research that uses innovative methods to produce, store, distribute, and interpret huge amounts of data. In Data-Centric Biology, Sabina Leonelli probes the implications of these advancements and confronts the questions they pose. Are we witnessing the rise of an entirely new scientific epistemology? If so, how does that alter the way we study and understand life—including ourselves? Leonelli is the first scholar to use a study of contemporary data-intensive science to provide a philosophical analysis of the epistemology of data. In analyzing the rise, internal dynamics, and potential impact of data-centric biology, she draws on scholarship across diverse fields of science and the humanities—as well as her own original empirical material—to pinpoint the conditions under which digitally available data can further our understanding of life. Bridging the divide between historians, sociologists, and philosophers of science, Data-Centric Biology offers a nuanced account of an issue that is of fundamental importance to our understanding of contemporary scientific practices.
Download or read book Methodology and Epistemology for Social Sciences written by Donald T. Campbell and published by University of Chicago Press. This book was released on 1988-10-27 with total page 644 pages. Available in PDF, EPUB and Kindle. Book excerpt: Selections from the work of an influential contributor to the methodology of the social sciences. He treats: measurement, experimental design, epistemology, and sociology of science each section introduced by the editor, Samuel Overman. Annotation copyright Book News, Inc. Portland, Or.
Download or read book Logic Epistemology and the Unity of Science written by Shahid Rahman and published by Springer Science & Business Media. This book was released on 2009-03-15 with total page 618 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first volume in this new series explores, through extensive co-operation, new ways of achieving the integration of science in all its diversity. The book offers essays from important and influential philosophers in contemporary philosophy, discussing a range of topics from philosophy of science to epistemology, philosophy of logic and game theoretical approaches. It will be of interest to philosophers, computer scientists and all others interested in the scientific rationality.
Download or read book The Oxford Handbook of Epistemology written by Paul K. Moser and published by Oxford University Press. This book was released on 2005-10-27 with total page 649 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Oxford Handbook of Epistemology contains 19 previously unpublished chapters by today's leading figures in the field. These chapters function not only as a survey of key areas, but as original scholarship on a range of vital topics. Written accessibly for advanced undergraduates, graduate students, and professional philosophers, the Handbook explains the main ideas and problems of contemporary epistemology while avoiding overly technical detail.
Download or read book Kuhn s Evolutionary Social Epistemology written by K. Brad Wray and published by Cambridge University Press. This book was released on 2011-09-29 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: Kuhn's Structure of Scientific Revolutions (1962) has been enduringly influential in philosophy of science, challenging many common presuppositions about the nature of science and the growth of scientific knowledge. However, philosophers have misunderstood Kuhn's view, treating him as a relativist or social constructionist. In this book, Brad Wray argues that Kuhn provides a useful framework for developing an epistemology of science that takes account of the constructive role that social factors play in scientific inquiry. He examines the core concepts of Structure and explains the main characteristics of both Kuhn's evolutionary epistemology and his social epistemology, relating Structure to Kuhn's developed view presented in his later writings. The discussion includes analyses of the Copernican revolution in astronomy and the plate tectonics revolution in geology. The book will be useful for scholars working in science studies, sociologists and historians of science as well as philosophers of science.
Download or read book A Social Epistemology of Research Groups written by Susann Wagenknecht and published by Springer. This book was released on 2016-12-04 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book investigates how collaborative scientific practice yields scientific knowledge. At a time when most of today’s scientific knowledge is created in research groups, the author reconsiders the social character of science to address the question of whether collaboratively created knowledge should be considered as collective achievement, and if so, in which sense. Combining philosophical analysis with qualitative empirical inquiry, this book provides a comparative case study of mono- and interdisciplinary research groups, offering insight into the day-to-day practice of scientists. The book includes field observations and interviews with scientists to present an empirically-grounded perspective on much-debated questions concerning research groups’ division of labor, relations of epistemic dependence and trust.
Download or read book Mathematics Science and Epistemology Volume 2 Philosophical Papers written by Imre Lakatos and published by Cambridge University Press. This book was released on 1980-10-16 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: Volume I brings together his very influential but scattered papers on the philosophy of the physical sciences, and includes one important unpublished essay on the effect of Newton's scientific achievement. Volume 2 presents his work on the philosophy of mathematics together with some critical essays on contemporary philosophers of science.
Download or read book Understanding Management Research written by Phil Johnson and published by SAGE. This book was released on 2000-12-08 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: 'These sections represent the clearest rendition yet of these subjects, with difficult concepts introduced in a digestible form for the neophytic (or not so neophytic) researcher. Whilst in a book this size not every argument can be presented, there is ample extra material to be found to encourage further engagement... At the end of each chapter, there is a very useful Further Reading section provided by the authors, which gives useful guidelines. I believe to be an extremely useful text, which addresses what has until now been a significant gap in the market. This book will be my first choice in the future for introducing doctoral students of management-related subject to the philosophical underpinning they require for their studies. There is no other text which covers this area so clearly, so succinctly and in language that is readily accessible to a wide range of researcher back-grounds. I can enviSAGE this being a valuable source book to which researchers return again and again in order to deepen their understanding as research projects progress; it certainly provoked some new questions for me. To conclude, an excellent buy' - International Journal of Entrepreneurship and Innovation This is an invaluable introduction for all students and researchers of management confronting a new research project. Understanding Management Research provides an overview of the principal epistemological debates in social science and how these lead to and are expressed in different ways of conceiving and undertaking organizational research. For researchers and students who are increasingly expected to adopt a reflexive understanding of their own epistemological position, the authors present a concise, accessible guide to the different perspectives available and their implications for research output. All students undertaking empirical research for theses and dissertations will find this book helps them comprehend the key ongoing debates and engage with their own pre-understandings when trying to make sense of management and organizations.
Download or read book Information Systems Research Methods Epistemology and Applications written by Cater-Steel, Aileen and published by IGI Global. This book was released on 2008-11-30 with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The book deals with the concepts and applications of information systems research, both theoretical concepts of information systems research and applications"--Provided by publisher.
Download or read book Frontiers in Data Science written by Matthias Dehmer and published by CRC Press. This book was released on 2017-10-16 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt: Frontiers in Data Science deals with philosophical and practical results in Data Science. A broad definition of Data Science describes the process of analyzing data to transform data into insights. This also involves asking philosophical, legal and social questions in the context of data generation and analysis. In fact, Big Data also belongs to this universe as it comprises data gathering, data fusion and analysis when it comes to manage big data sets. A major goal of this book is to understand data science as a new scientific discipline rather than the practical aspects of data analysis alone.
Download or read book Beyond Epistemology written by Sharyn Clough and published by Rowman & Littlefield. This book was released on 2003 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: Feminist thinkers have been critically examining science for over a century; but who critiques the criticism?
Download or read book Political Epistemology written by Pietro Daniel Omodeo and published by Springer Nature. This book was released on 2019-10-14 with total page 158 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is an investigation of the ideological dimensions of the disciplinary discourses on science in line with the scholarly tradition of historical epistemology. It offers a programmatic treatment of the political-epistemological problematic along three entangled lines of inquiry: socio-historical, epistemological and historiographical. The book aims for a meta-level integration of the existing scholarship on the social and cultural history of science in order to consider the ways in which struggles for hegemony have constantly informed scientific discourses. This problematic is of primary relevance for scholars in Science Studies, philosophers, historians and sociologists of science, but would also be relevant for anybody interested in scientific culture and political theory.
