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1,500 scientists lift the lid on reproducibility

Nature 533 (7604):452-454 (2016)

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  1. Machine Learning in Psychometrics and Psychological Research.Graziella Orrù, Merylin Monaro, Ciro Conversano, Angelo Gemignani & Giuseppe Sartori - 2020 - Frontiers in Psychology 10:492685.
    Recent controversies about the level of replicability of behavioral research analyzed using statistical inference have cast interest in developing more efficient techniques for analyzing the results of psychological experiments. Here we claim that complementing the analytical workflow of psychological experiments with Machine Learning-based analysis will both maximize accuracy and minimize replicability issues. As compared to statistical inference, ML analysis of experimental data is model agnostic and primarily focused on prediction rather than inference. We also highlight some potential pitfalls resulting from (...)
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  • Effect Declines Are Systematic, Strong, and Ubiquitous: A Meta-Meta-Analysis of the Decline Effect in Intelligence Research.Jakob Pietschnig, Magdalena Siegel, Junia Sophia Nur Eder & Georg Gittler - 2019 - Frontiers in Psychology 10.
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  • Rhetorical Citizenship and the Science of Science Communication.Jeanne Fahnestock - 2020 - Argumentation 34 (3):371-387.
    Public policy decisions often require rhetorically-engaged citizens to have some understanding of the science and technology involved. On many current issues sectors of the public hold views differing from those of most scientists, and they often do not support proposals based on the scientists’ views. The overall cultural authority of science has also been challenged in the last decade by several negative trends in the sciences themselves, including widely-reported cases of fraud and failures in replication. With the support of professional (...)
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  • Scholars’ preferred solutions for research misconduct: results from a survey of faculty members at America’s top 100 research universities.Travis C. Pratt, Michael D. Reisig, Kristy Holtfreter & Katelyn A. Golladay - 2019 - Ethics and Behavior 29 (7):510-530.
    Research misconduct is harmful because it threatens public health and public safety, and also undermines public confidence in science. Efforts to eradicate ongoing and prevent future misconduct are numerous and varied, yet the question of “what works” remains largely unanswered. To shed light on this issue, this study used data from both mail and online surveys administered to a stratified random sample of tenured and tenure-track faculty members (N = 613) in the social, natural, and applied sciences at America’s top (...)
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  • Rethinking the experiment: necessary (R)evolution.Mihai Nadin - 2018 - AI and Society 33 (4):467-485.
    The current assumptions of knowledge acquisition brought about the crisis in the reproducibility of experiments. A complementary perspective should account for the specific causality characteristic of life by integrating past, present, and future. A “second Cartesian revolution,” informed by and in awareness of anticipatory processes, should result in scientific methods that transcend the theology of determinism and reductionism. In our days, science, itself an expression of anticipatory activity, makes possible alternative understandings of reality and its dynamics. For this purpose, the (...)
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  • From “multiple simultaneous independent discoveries” to the theory of “multiple simultaneous independent errors”: a conduit in science.Jeffrey I. Seeman - 2018 - Foundations of Chemistry 20 (3):219-249.
    Multiple simultaneous independent discoveries, so well enunciated by Robert K. Merton in the early 1960s but already discussed for several hundreds of years, is a classic concept in the sociology of science. In this paper, the concept of multiple simultaneous independent errors is proposed, analyzed, and discussed. The concept of Selective Pessimistic Induction is proposed and used to connect MIDs with MIEs. Five types of MIEs are discussed: multiple errors in the interpretation of experimental data or computational results; multiple misjudgments (...)
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  • Questionable, Objectionable or Criminal? Public Opinion on Data Fraud and Selective Reporting in Science.Justin T. Pickett & Sean Patrick Roche - 2018 - Science and Engineering Ethics 24 (1):151-171.
    Data fraud and selective reporting both present serious threats to the credibility of science. However, there remains considerable disagreement among scientists about how best to sanction data fraud, and about the ethicality of selective reporting. The public is arguably the largest stakeholder in the reproducibility of science; research is primarily paid for with public funds, and flawed science threatens the public’s welfare. Members of the public are able to make meaningful judgments about the morality of different behaviors using moral intuitions. (...)
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  • Creativity and Yóu: the Zhuāngzǐ and scientific inquiry.Julianne Chung - 2022 - European Journal for Philosophy of Science 12 (2):1-26.
    Might traditional Chinese thought regarding creativity not just influence, but also enrich, contemporary European thought about the same? Moreover, is it possible that traditional Chinese thought regarding creativity might enrich contemporary thought both in a more broad, holistic sense, and more specifically regarding the nature and role of creativity as it pertains to scientific inquiry? In this paper, I elucidate why the answer to these questions is: yes. I explain in detail a classical Chinese conception of creativity rooted in Zhuangist (...)
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  • How (not) to measure replication.Samuel C. Fletcher - 2021 - European Journal for Philosophy of Science 11 (2):1-27.
    The replicability crisis refers to the apparent failures to replicate both important and typical positive experimental claims in psychological science and biomedicine, failures which have gained increasing attention in the past decade. In order to provide evidence that there is a replicability crisis in the first place, scientists have developed various measures of replication that help quantify or “count” whether one study replicates another. In this nontechnical essay, I critically examine five types of replication measures used in the landmark article (...)
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  • Why is Bayesian confirmation theory rarely practiced.Robert W. P. Luk - 2019 - Science and Philosophy 7 (1):3-20.
    Bayesian confirmation theory is a leading theory to decide the confirmation/refutation of a hypothesis based on probability calculus. While it may be much discussed in philosophy of science, is it actually practiced in terms of hypothesis testing by scientists? Since the assignment of some of the probabilities in the theory is open to debate and the risk of making the wrong decision is unknown, many scientists do not use the theory in hypothesis testing. Instead, they use alternative statistical tests that (...)
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  • Perceptions and Attitudes about Research Integrity and Misconduct: a Survey among Young Biomedical Researchers in Italy.Alex Mabou Tagne, Niccolò Cassina, Alessia Furgiuele, Elisa Storelli, Marco Cosentino & Franca Marino - 2020 - Journal of Academic Ethics 18 (2):193-205.
    Research misconduct is an alarming concern worldwide, and especially in Italy, where there is no formal training of young researchers in responsible research practices. The main aim of this study was to map the perceptions and attitudes about RM in a sample of young researchers attending a one-week intensive course on methodology, ethics and integrity in biomedical research, held at the University of Insubria. To this end, we administered the Scientific Misconduct Questionnaire to all attendees at the beginning of the (...)
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  • Doctor Ex Machina: A Critical Assessment of the Use of Artificial Intelligence in Health Care.Annika M. Svensson & Fabrice Jotterand - 2022 - Journal of Medicine and Philosophy 47 (1):155-178.
    This article examines the potential implications of the implementation of artificial intelligence in health care for both its delivery and the medical profession. To this end, the first section explores the basic features of AI and the yet theoretical concept of autonomous AI followed by an overview of current and developing AI applications. Against this background, the second section discusses the transforming roles of physicians and changes in the patient–physician relationship that could be a consequence of gradual expansion of AI (...)
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  • Social Epistemology and Validation in Agent-Based Social Simulation.David Anzola - 2021 - Philosophy and Technology 34 (4):1333-1361.
    The literature in agent-based social simulation suggests that a model is validated when it is shown to ‘successfully’, ‘adequately’ or ‘satisfactorily’ represent the target phenomenon. The notion of ‘successful’, ‘adequate’ or ‘satisfactory’ representation, however, is both underspecified and difficult to generalise, in part, because practitioners use a multiplicity of criteria to judge representation, some of which are not entirely dependent on the testing of a computational model during validation processes. This article argues that practitioners should address social epistemology to achieve (...)
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  • How to handle risky experiments producing uncertain phenomenon like cold fusion.Robert W. P. Luk - 2019 - Science and Philosophy 7 (2):3-14.
    Some experiments are risky in that they cannot repeatedly produce certain phenomenon at will for study because the scientific knowledge of the process generating the uncertain phenomenon is poorly understood or may directly contradict with existing scientific knowledge. These experiments may have great impact not just to the scientific community but to mankind in general. Banning them from study may incur societies a great opportunity cost but accepting them runs the risk that scientists are doing junk science. How to make (...)
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  • Taiwanese and American Graduate Students’ Misconceptions Regarding Responsible Conduct of Research: A Cross-National Comparison Using a Two-Tier Test Approach.Sophia Jui-An Pan - 2021 - Science and Engineering Ethics 27 (2):1-23.
    Individual researchers may interpret responsible conduct of research (RCR) in various ways, especially given the diversity of research personnel in modern science. Therefore, understanding individuals’ RCR-related misconceptions is important, as it can help RCR instructors customize their lessons to target learners’ incorrect and incomplete ideas. In this vein, this study aimed to explore whether Taiwanese and American graduate students differ in their perceptions and misconceptions regarding RCR-related concepts and, if so, to determine these differences. A diagnostic assessment, the Revised RCR (...)
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  • bayes4psy—An Open Source R Package for Bayesian Statistics in Psychology.Jure Demšar, Grega Repovš & Erik Štrumbelj - 2020 - Frontiers in Psychology 11.
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  • A Plea for Minimally Biased Empirical Philosophy.Andrea Polonioli - unknown
    Naturalistic philosophers rely on literature search and review in a number of ways and for different purposes. Yet this article shows how processes of literature search and review are likely to be affected by widespread and systematic biases. A solution to this problem is offered here. Whilst the tradition of systematic reviews of literature from scientific disciplines has been neglected in philosophy, systematic reviews are important tools that minimize bias in literature search and review and allow for greater reproducibility and (...)
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