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Author: James Mattingly
Publisher: University of Chicago Press
ISBN: 022680478X
Category : Philosophy
Languages : en
Pages : 373
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Book Description
An ambitious new model of experimentation that will reorient our understanding of the key features of experimental practice. What is experimental knowledge, and how do we get it? While there is general agreement that experiment is a crucial source of scientific knowledge, how experiment generates that knowledge is far more contentious. In this book, philosopher of science James Mattingly explains how experiments function. Specifically, he discusses what it is about experimental practice that transforms observations of what may be very localized, particular, isolated systems into what may be global, general, integrated empirical knowledge. Mattingly argues that the purpose of experimentation is the same as the purpose of any other knowledge-generating enterprise—to change the state of information of the knower. This trivial-seeming point has a non-trivial consequence: to understand a knowledge-generating enterprise, we should follow the flow of information. Therefore, the account of experimental knowledge Mattingly provides is based on understanding how information flows in experiments: what facilitates that flow, what hinders it, and what characteristics allow it to flow from system to system, into the heads of researchers, and finally into our store of scientific knowledge.
Author: James Mattingly
Publisher: University of Chicago Press
ISBN: 022680478X
Category : Philosophy
Languages : en
Pages : 373
Get Book Here
Book Description
An ambitious new model of experimentation that will reorient our understanding of the key features of experimental practice. What is experimental knowledge, and how do we get it? While there is general agreement that experiment is a crucial source of scientific knowledge, how experiment generates that knowledge is far more contentious. In this book, philosopher of science James Mattingly explains how experiments function. Specifically, he discusses what it is about experimental practice that transforms observations of what may be very localized, particular, isolated systems into what may be global, general, integrated empirical knowledge. Mattingly argues that the purpose of experimentation is the same as the purpose of any other knowledge-generating enterprise—to change the state of information of the knower. This trivial-seeming point has a non-trivial consequence: to understand a knowledge-generating enterprise, we should follow the flow of information. Therefore, the account of experimental knowledge Mattingly provides is based on understanding how information flows in experiments: what facilitates that flow, what hinders it, and what characteristics allow it to flow from system to system, into the heads of researchers, and finally into our store of scientific knowledge.
Author: Deborah G. Mayo
Publisher: University of Chicago Press
ISBN: 9780226511979
Category : Mathematics
Languages : en
Pages : 520
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Book Description
Preface1: Learning from Error 2: Ducks, Rabbits, and Normal Science: Recasting the Kuhn's-Eye View of Popper 3: The New Experimentalism and the Bayesian Way 4: Duhem, Kuhn, and Bayes 5: Models of Experimental Inquiry 6: Severe Tests and Methodological Underdetermination7: The Experimental Basis from Which to Test Hypotheses: Brownian Motion8: Severe Tests and Novel Evidence 9: Hunting and Snooping: Understanding the Neyman-Pearson Predesignationist Stance10: Why You Cannot Be Just a Little Bit Bayesian 11: Why Pearson Rejected the Neyman-Pearson (Behavioristic) Philosophy and a Note on Objectivity in Statistics12: Error Statistics and Peircean Error Correction 13: Toward an Error-Statistical Philosophy of Science ReferencesIndex Copyright © Libri GmbH. All rights reserved.
Author: National Academies of Sciences, Engineering, and Medicine
Publisher: National Academies Press
ISBN: 0309486165
Category : Science
Languages : en
Pages : 257
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Book Description
One of the pathways by which the scientific community confirms the validity of a new scientific discovery is by repeating the research that produced it. When a scientific effort fails to independently confirm the computations or results of a previous study, some fear that it may be a symptom of a lack of rigor in science, while others argue that such an observed inconsistency can be an important precursor to new discovery. Concerns about reproducibility and replicability have been expressed in both scientific and popular media. As these concerns came to light, Congress requested that the National Academies of Sciences, Engineering, and Medicine conduct a study to assess the extent of issues related to reproducibility and replicability and to offer recommendations for improving rigor and transparency in scientific research. Reproducibility and Replicability in Science defines reproducibility and replicability and examines the factors that may lead to non-reproducibility and non-replicability in research. Unlike the typical expectation of reproducibility between two computations, expectations about replicability are more nuanced, and in some cases a lack of replicability can aid the process of scientific discovery. This report provides recommendations to researchers, academic institutions, journals, and funders on steps they can take to improve reproducibility and replicability in science.
Author: Charles Bazerman
Publisher:
ISBN: 9780299116941
Category : Technical writing
Languages : en
Pages : 0
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Book Description
The forms taken by scientific writing help to determine the very nature of science itself. In this closely reasoned study, Charles Bazerman views the changing forms of scientific writing as solutions to rhetorical problems faced by scientists arguing for their findings. Examining such works as the early Philosophical Transactions and Newton's optical writings as well as Physical Review, Bazerman views the changing forms of scientific writing as solutions to rhetorical problems faced by scientists. The rhetoric of science is, Bazerman demonstrates, an embedded part of scientific activity that interacts with other parts of scientific activity, including social structure and empirical experience. This book presents a comprehensive historical account of the rise and development of the genre, and views these forms in relation to empirical experience.
Author: Michael Luca
Publisher: MIT Press
ISBN: 0262542277
Category : Business & Economics
Languages : en
Pages : 229
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Book Description
How tech companies like Google, Airbnb, StubHub, and Facebook learn from experiments in our data-driven world—an excellent primer on experimental and behavioral economics Have you logged into Facebook recently? Searched for something on Google? Chosen a movie on Netflix? If so, you've probably been an unwitting participant in a variety of experiments—also known as randomized controlled trials—designed to test the impact of different online experiences. Once an esoteric tool for academic research, the randomized controlled trial has gone mainstream. No tech company worth its salt (or its share price) would dare make major changes to its platform without first running experiments to understand how they would influence user behavior. In this book, Michael Luca and Max Bazerman explain the importance of experiments for decision making in a data-driven world. Luca and Bazerman describe the central role experiments play in the tech sector, drawing lessons and best practices from the experiences of such companies as StubHub, Alibaba, and Uber. Successful experiments can save companies money—eBay, for example, discovered how to cut $50 million from its yearly advertising budget—or bring to light something previously ignored, as when Airbnb was forced to confront rampant discrimination by its hosts. Moving beyond tech, Luca and Bazerman consider experimenting for the social good—different ways that governments are using experiments to influence or “nudge” behavior ranging from voter apathy to school absenteeism. Experiments, they argue, are part of any leader's toolkit. With this book, readers can become part of “the experimental revolution.”
Author: Pablo F. Gómez
Publisher: UNC Press Books
ISBN: 1469630885
Category : History
Languages : en
Pages : 315
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Book Description
Opening a window on a dynamic realm far beyond imperial courts, anatomical theaters, and learned societies, Pablo F. Gomez examines the strategies that Caribbean people used to create authoritative, experientially based knowledge about the human body and the natural world during the long seventeenth century. Gomez treats the early modern intellectual culture of these mostly black and free Caribbean communities on its own merits and not only as it relates to well-known frameworks for the study of science and medicine. Drawing on an array of governmental and ecclesiastical sources—notably Inquisition records—Gomez highlights more than one hundred black ritual practitioners regarded as masters of healing practices and as social and spiritual leaders. He shows how they developed evidence-based healing principles based on sensorial experience rather than on dogma. He elucidates how they nourished ideas about the universality of human bodies, which contributed to the rise of empirical testing of disease origins and cures. Both colonial authorities and Caribbean people of all conditions viewed this experiential knowledge as powerful and competitive. In some ways, it served to respond to the ills of slavery. Even more crucial, however, it demonstrates how the black Atlantic helped creatively to fashion the early modern world.
Author: Mary Poovey
Publisher: University of Chicago Press
ISBN: 0226675181
Category : Social Science
Languages : en
Pages : 446
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Book Description
How did the fact become modernity's most favored unit of knowledge? How did description come to seem separable from theory in the precursors of economics and the social sciences? Mary Poovey explores these questions in A History of the Modern Fact, ranging across an astonishing array of texts and ideas from the publication of the first British manual on double-entry bookkeeping in 1588 to the institutionalization of statistics in the 1830s. She shows how the production of systematic knowledge from descriptions of observed particulars influenced government, how numerical representation became the privileged vehicle for generating useful facts, and how belief—whether figured as credit, credibility, or credulity—remained essential to the production of knowledge. Illuminating the epistemological conditions that have made modern social and economic knowledge possible, A History of the Modern Fact provides important contributions to the history of political thought, economics, science, and philosophy, as well as to literary and cultural criticism.
Author: Justin Sytsma
Publisher: Broadview Press
ISBN: 146040288X
Category : Philosophy
Languages : en
Pages : 378
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Book Description
In recent years, developments in experimental philosophy have led many thinkers to reconsider their central assumptions and methods. It is not enough to speculate and introspect from the armchair—philosophers must subject their claims to scientific scrutiny, looking at evidence and in some cases conducting new empirical research. The Theory and Practice of Experimental Philosophy is an introduction and guide to the systematic collection and analysis of empirical data in academic philosophy. This book serves two purposes: first, it examines the theory behind “x-phi,” including its underlying motivations and the objections that have been leveled against it. Second, the book offers a practical guide for those interested in doing experimental philosophy, detailing how to design, implement, and analyze empirical studies. Thus, the book explains the reasoning behind x-phi and provides tools to help readers become experimental philosophers.
Author: John H. Kagel
Publisher: Princeton University Press
ISBN: 0691213259
Category : Business & Economics
Languages : en
Pages : 742
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Book Description
This book, which comprises eight chapters, presents a comprehensive critical survey of the results and methods of laboratory experiments in economics. The first chapter provides an introduction to experimental economics as a whole, with the remaining chapters providing surveys by leading practitioners in areas of economics that have seen a concentration of experiments: public goods, coordination problems, bargaining, industrial organization, asset markets, auctions, and individual decision making. The work aims both to help specialists set an agenda for future research and to provide nonspecialists with a critical review of work completed to date. Its focus is on elucidating the role of experimental studies as a progressive research tool so that wherever possible, emphasis is on series of experiments that build on one another. The contributors to the volume--Colin Camerer, Charles A. Holt, John H. Kagel, John O. Ledyard, Jack Ochs, Alvin E. Roth, and Shyam Sunder--adopt a particular methodological point of view: the way to learn how to design and conduct experiments is to consider how good experiments grow organically out of the issues and hypotheses they are designed to investigate.
Author: Deborah G. Mayo
Publisher: University of Chicago Press
ISBN: 0226511995
Category : Science
Languages : en
Pages : 512
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Book Description
We may learn from our mistakes, but Deborah Mayo argues that, where experimental knowledge is concerned, we haven't begun to learn enough. Error and the Growth of Experimental Knowledge launches a vigorous critique of the subjective Bayesian view of statistical inference, and proposes Mayo's own error-statistical approach as a more robust framework for the epistemology of experiment. Mayo genuinely addresses the needs of researchers who work with statistical analysis, and simultaneously engages the basic philosophical problems of objectivity and rationality. Mayo has long argued for an account of learning from error that goes far beyond detecting logical inconsistencies. In this book, she presents her complete program for how we learn about the world by being "shrewd inquisitors of error, white gloves off." Her tough, practical approach will be important to philosophers, historians, and sociologists of science, and will be welcomed by researchers in the physical, biological, and social sciences whose work depends upon statistical analysis.
