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Failure: Why Science is so Successful

Oxford University Press USA (2015)

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  1. Teaching Nature of Scientific Knowledge to Kindergarten Through University Students.Norman G. Lederman, Fouad Abd-El-Khalick & Mike U. Smith - 2019 - Science & Education 28 (3):197-203.
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  • In Science We Trust? Being Honest About the Limits of Medical Research During COVID-19.Walter Veit, Rebecca Brown & Brian D. Earp - 2021 - American Journal of Bioethics 21 (1):22-24.
    As a result of the world-wide COVID-19 epidemic, an internal tension in the goals of medicine has come to the forefront of public debate. Medical professionals are continuously faced with a tug of...
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  • Objectivity for the research worker.Noah van Dongen & Michał Sikorski - 2021 - European Journal for Philosophy of Science 11 (3):1-25.
    In the last decade, many problematic cases of scientific conduct have been diagnosed; some of which involve outright fraud others are more subtle. These and similar problems can be interpreted as caused by lack of scientific objectivity. The current philosophical theories of objectivity do not provide scientists with conceptualizations that can be effectively put into practice in remedying these issues. We propose a novel way of thinking about objectivity for individual scientists; a negative and dynamic approach.We provide a philosophical conceptualization (...)
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  • A hapless mathematical contribution to biology: Chromosome inversions in Drosophila, 1937–1941.Eric Tannier - 2022 - History and Philosophy of the Life Sciences 44 (3):1-22.
    This is the story, told in the light of a new analysis of historical data, of a mathematical biology problem that was explored in the 1930s in Thomas Morgan’s laboratory at the California Institute of Technology. It is one of the early developments of evolutionary genetics and quantitative phylogeny, and deals with the identification and counting of chromosomal inversions in Drosophila species from comparisons of genetic maps. A re-analysis of the data produced in the 1930s using current mathematics and computational (...)
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  • Should We Strive to Make Science Bias-Free? A Philosophical Assessment of the Reproducibility Crisis.Robert Hudson - 2021 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 52 (3):389-405.
    Recently, many scientists have become concerned about an excessive number of failures to reproduce statistically significant effects. The situation has become dire enough that the situation has been named the ‘reproducibility crisis’. After reviewing the relevant literature to confirm the observation that scientists do indeed view replication as currently problematic, I explain in philosophical terms why the replication of empirical phenomena, such as statistically significant effects, is important for scientific progress. Following that explanation, I examine various diagnoses of the reproducibility (...)
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  • The limits of replicability.Stephan Guttinger - 2020 - European Journal for Philosophy of Science 10 (2):1-17.
    Discussions about a replicability crisis in science have been driven by the normative claim that all of science should be replicable and the empirical claim that most of it isn’t. Recently, such crisis talk has been challenged by a new localism, which argues a) that serious problems with replicability are not a general occurrence in science and b) that replicability itself should not be treated as a universal standard. The goal of this article is to introduce this emerging strand of (...)
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  • A New Account of Replication in the Experimental Life Sciences.Stephan Guttinger - 2019 - Philosophy of Science 86 (3):453-471.
    The life sciences are said to be in the midst of a replication crisis because a majority of published results are irreproducible, and scientists rarely replicate existing data. Here I argue that point 2 of this assessment is flawed because there is a hitherto unidentified form of replication in the experimental life sciences, which I call ‘microreplications’. Using a case study from biochemistry, I illustrate how MRs depend on a key element of experimentation, namely, experimental controls. I end by reflecting (...)
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  • Adapting practice-based philosophy of science to teaching of science students.Sara Green, Hanne Andersen, Kristian Danielsen, Claus Emmeche, Christian Joas, Mikkel Willum Johansen, Caio Nagayoshi, Joeri Witteveen & Henrik Kragh Sørensen - 2021 - European Journal for Philosophy of Science 11 (3):1-18.
    The “practice turn” in philosophy of science has strengthened the connections between philosophy and scientific practice. Apart from reinvigorating philosophy of science, this also increases the relevance of philosophical research for science, society, and science education. In this paper, we reflect on our extensive experience with teaching mandatory philosophy of science courses to science students from a range of programs at University of Copenhagen. We highlight some of the lessons we have learned in making philosophy of science “fit for teaching” (...)
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  • Expert Communication and the Self-Defeating Codes of Scientific Ethics.Hugh Desmond - 2021 - American Journal of Bioethics 21 (1):24-26.
    Codes of ethics currently offer no guidance to scientists acting in capacity of expert. Yet communicating their expertise is one of the most important activities of scientists. Here I argue that expert communication has a specifically ethical dimension, and that experts must face a fundamental trade-off between "actionability" and "transparency" when communicating. Some recommendations for expert communication are suggested.
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  • Opinion: Reproducibility failures are essential to scientific inquiry.A. David Redish, Erich Kummerfeld, Rebecca Morris & Alan Love - 2018 - Proceedings of the National Academy of Sciences 115 (20):5042-5046.
    Current fears of a “reproducibility crisis” have led researchers, sources of scientific funding, and the public to question both the efficacy and trustworthiness of science. Suggested policy changes have been focused on statistical problems, such as p-hacking, and issues of experimental design and execution. However, “reproducibility” is a broad concept that includes a number of issues. Furthermore, reproducibility failures occur even in fields such as mathematics or computer science that do not have statistical problems or issues with experimental design. Most (...)
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