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  1. Phronetic Risk in Research Agenda Setting – the Case of Nutrition Science and Public Health.Saana Jukola - forthcoming - Social Epistemology.
    Justin Biddle and Quill Kukla have introduced the concept of phronetic risk to refer to epistemic risks emerging in activities that either are conditions for empirical reasoning or included in empirical reasoning and that have to be weighted according to different values and interests. In this paper, I show how a phronetic risk arises in research agenda setting. Given the prevalence of noncommunicable diseases associated with diet, there is a need for science-based nutritional public health interventions. However, how the relation (...)
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  • Epistemic Trust in Scientific Experts: A Moral Dimension.George Kwasi Barimah - 2024 - Science and Engineering Ethics 30 (3):1-21.
    In this paper, I develop and defend a moralized conception of epistemic trust in science against a particular kind of non-moral account defended by John (2015, 2018). I suggest that non-epistemic value considerations, non-epistemic norms of communication and affective trust properly characterize the relationship of epistemic trust between scientific experts and non-experts. I argue that it is through a moralized account of epistemic trust in science that we can make sense of the deep-seated moral undertones that are often at play (...)
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  • Socially responsible science: Exploring the complexities.Inmaculada de Melo-Martín & Kristen Intemann - 2023 - European Journal for Philosophy of Science 13 (3):1-18.
    Philosophers of science, particularly those working on science and values, often talk about the need for science to be socially responsible. However, what this means is not clear. In this paper, we review the contributions of philosophers of science to the debate over socially responsible science and explore the dimensions that a fruitful account of socially responsible science should address. Our review shows that offering a comprehensive account is difficult. We contend that broad calls for socially responsible science that fail (...)
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  • Scientific/Intellectual Movements Remedying Epistemic Injustice: The Case of Indigenous Studies.Inkeri Koskinen & Kristina Rolin - 2019 - Philosophy of Science 86 (5):1052-1063.
    Whereas much of the literature in the social epistemology of scientific knowledge has focused either on scientific communities or research groups, we examine the epistemic significance of scientific/intellectual movements (SIMs). We argue that certain types of SIMs can play an important epistemic role in science: they can remedy epistemic injus- tices in scientific practices. SIMs can counteract epistemic injustices effectively because many forms of epistemic injustice require structural and not merely individual remedies. To illustrate our argument, we discuss the case (...)
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  • Values and Credibility in Science Communication.Janet Michaud & John Turri - 2018 - Logos and Episteme 9 (2):199-214.
    Understanding science requires appreciating the values it presupposes and its social context. Both the values that scientists hold and their social context can affect scientific communication. Philosophers of science have recently begun studying scientific communication, especially as it relates to public policy. Some have proposed “guiding principles for communicating scientific findings” to promote trust and objectivity. This paper contributes to this line of research in a novel way using behavioural experimentation. We report results from three experiments testing judgments about the (...)
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  • Values and Data Collection in Social Research.Julie Zahle - 2018 - Philosophy of Science 85 (1):144-163.
    In this article, I offer a partial analysis of the role of values in qualitative data collection in social research. The partial analysis shows that nonepistemic values have both required and permissible roles to play during this phase of research. By appeal to the analysis, I reject the ideal of value-free science as applied to qualitative data collection, and I demonstrate why two alternative ideals should likewise be dismissed as standards for values in qualitative data collection. Also, I briefly discuss (...)
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  • Who is afraid of scientific imperialism?Roberto Fumagalli - 2018 - Synthese 195 (9):4125-4146.
    In recent years, several authors have debated about the justifiability of so-called scientific imperialism. To date, however, widespread disagreements remain regarding both the identification and the normative evaluation of scientific imperialism. In this paper, I aim to remedy this situation by making some conceptual distinctions concerning scientific imperialism and by providing a detailed assessment of the most prominent objections to it. I shall argue that these objections provide a valuable basis for opposing some instances of scientific imperialism, but do not (...)
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  • A Role for Judgment Aggregation in Coauthoring Scientific Papers.Liam Kofi Bright, Haixin Dang & Remco Heesen - 2017 - Erkenntnis 83 (2):231-252.
    This paper addresses the problem of judgment aggregation in science. How should scientists decide which propositions to assert in a collaborative document? We distinguish the question of what to write in a collaborative document from the question of collective belief. We argue that recent objections to the application of the formal literature on judgment aggregation to the problem of judgment aggregation in science apply to the latter, not the former question. The formal literature has introduced various desiderata for an aggregation (...)
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  • The social organisation of science as a question for philosophy of science.Jaana Eigi - 2016 - Dissertation, University of Tartu
    Philosophy of science is showing an increasing interest in the social aspects and the social organisation of science—the ways social values and social interactions and structures play a role in the creation of knowledge and the ways this role should be taken into account in the organisation of science and science policy. My thesis explores a number of issues related to this theme. I argue that a prominent approach to the social organisation of science—Philip Kitcher’s well-ordered science—runs into a number (...)
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  • Values, standpoints, and scientific/intellectual movements.Kristina Rolin - 2016 - Studies in History and Philosophy of Science Part A 56:11-19.
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  • Objectivity and orgasm: the perils of imprecise definitions.Samantha Wakil - 2020 - Synthese 199 (1-2):2315-2333.
    Lloyd analyzes every proposed evolutionary explanation of female orgasm and argues that all but one suffers from serious evidential errors. Lloyd attributes these errors to two main biases: androcentrism and adaptationism. This paper begins by arguing that the explanation Lloyd favors—the by-product account—is guilty of the androcentrism which supposedly implicates the other explanations of female orgasm with numerous evidential discrepancies. This suggests that there is another error afflicting orgasm research in addition to the biases Lloyd identities. I attempt to diagnose (...)
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  • Values and Objectivity in the Intergovernmental Panel on Climate Change.Julie Jebeile - 2020 - Social Epistemology 34 (5):453-468.
    The assessments issued by the Intergovernmental Panel on Climate Change (IPCC) aim to provide policy-makers with an objective source of information about the various causes of climate change, the projected consequences for the environment and human affairs, and the options for adaptation and mitigation. But what, in this context, is meant by ‘objective’? In practice, in an effort to address internal and external criticisms, the IPCC has regularly revised its methodological procedures; some of these procedures seem to meet the requirements (...)
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  • On the pursuitworthiness of qualitative methods in empirical philosophy of science.Nora Hangel & Christopher ChoGlueck - 2023 - Studies in History and Philosophy of Science Part A 98 (C):29-39.
    While the pursuitworthiness of philosophical ideas has changed over time, philosophical practice and methodology have not kept pace. The worthiness of a philosophical pursuit includes not only the ideas and objectives one pursues but also the methods with which one pursues them. In this paper, we articulate how empirical approaches benefit philosophy of science, particularly advocating for the use of qualitative methods for understanding the social and normative aspects of scientific inquiry. After situating qualitative methods within empirical philosophy of science, (...)
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  • Assertion, Nonepistemic Values, and Scientific Practice.Paul L. Franco - 2017 - Philosophy of Science 84 (1):160-180.
    This article motivates a shift in certain strands of the debate over legitimate roles for nonepistemic values in scientific practice from investigating what is involved in taking cognitive attitudes like acceptance toward an empirical hypothesis to looking at a social understanding of assertion, the act of communicating that hypothesis. I argue that speech act theory’s account of assertion as a type of doing makes salient legitimate roles nonepistemic values can play in scientific practice. The article also shows how speech act (...)
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  • Negative expertise in conditions of manufactured ignorance: epistemic strategies, virtues and skills.Jaana Parviainen & Lauri Lahikainen - 2019 - Synthese 198 (4):3873-3891.
    This paper is motivated by the need to respond to the spread of influential misinformation and manufactured ignorance, which places pressure on the work of experts in various sectors. To meet this need, the paper discusses the conditions required for expert testimony to evolve a reconceptualisation of negative capability as a new form of epistemic humility. In this regard, professional knowledge formation is not considered to be separate from the institutional and social processes and values that uphold its production. Drawing (...)
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  • Science, Values, and the New Demarcation Problem.David B. Resnik & Kevin C. Elliott - 2023 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 54 (2):259-286.
    In recent years, many philosophers of science have rejected the “value-free ideal” for science, arguing that non-epistemic values have a legitimate role to play in scientific inquiry. However, this philosophical position raises the question of how to distinguish between legitimate and illegitimate influences of values in science. In this paper, we argue that those seeking to address this “new” demarcation problem can benefit by drawing lessons from the “old” demarcation problem, in which philosophers tried to find a way of distinguishing (...)
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  • Epistemology of testimony and values in science.Tihamér Margitay - 2020 - Synthese 199 (1-2):1539-1553.
    The paper has two interconnected objectives. It argues that the intrinsic epistemic value of testimonies can be reduced to their moral and social values, that is, to their competent, conscientious, and honest performance. Consequently, competence, conscientiousness, and honesty are intrinsic epistemic values in science. The second objective is to offer an answer to the questions why and under what conditions a hearer can rationally accept a testimony in science. The values and subsequent norms of testimony are espoused and strictly enforced (...)
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  • Nano-hydroxyapatite Before the Science Court.Frederick C. Klaessig - 2023 - NanoEthics 17 (2):1-28.
    In October 2015, the European Union’s Scientific Committee on Consumer Safety issued a Preliminary Opinion on Hydroxyapatite (nano). Past industrial experience with this material and participation in ISO/TC-229, Nanotechnologies, led me to submit comments on the Committee’s interpretations of physico-chemical properties, especially solubility, that in retrospect were also probing of the Committee’s collective understanding of nanomaterials. The Committee’s responses are examined against a background of other Opinions issued in the same time period. The expert’s role and responsibility, whether as an (...)
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  • Do Collaborators in Science Need to Agree?Haixin Dang - 2019 - Philosophy of Science 86 (5):1029-1040.
    I argue that collaborators do not need to reach broad agreement over the justification of a consensus claim. This is because maintaining a diversity of justifiers within a scientific collaboration has important epistemic value. I develop a view of collective justification that depends on the diversity of epistemic perspectives present in a group. I argue that a group can be collectively justified in asserting that P as long as the disagreement among collaborators over the reasons for P is itself justified. (...)
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  • Social aspects of scientific knowledge.Ilkka Niiniluoto - 2020 - Synthese 197 (1):447-468.
    From its inception in 1987 social epistemology has been divided into analytic and critical approaches, represented by Alvin I. Goldman and Steve Fuller, respectively. In this paper, the agendas and some basic ideas of ASE and CSE are compared and assessed by bringing into the discussion also other participants of the debates on the social aspects of scientific knowledge—among them Raimo Tuomela, Philip Kitcher and Helen Longino. The six topics to be analyzed include individual and collective epistemic agents; the notion (...)
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  • The Production and Reinforcement of Ignorance in Collaborative Interdisciplinary Research.Zachary Piso, Ezgi Sertler, Anna Malavisi, Ken Marable, Erik Jensen, Chad Gonnerman & Michael O’Rourke - 2016 - Social Epistemology 30 (5-6):643-664.
    One way to articulate the promise of interdisciplinary research is in terms of the relationship between knowledge and ignorance. Disciplinary research yields deep knowledge of a circumscribed range of issues, but remains ignorant of those issues that stretch outside its purview. Because complex problems such as climate change do not respect disciplinary boundaries, disciplinary research responses to such problems are limited and partial. Interdisciplinary research responses, by contrast, integrate disciplinary perspectives by combining knowledge about different issues and as a result (...)
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  • The virtue of simplicity: On machine learning models in algorithmic trading.Kristian Bondo Hansen - 2020 - Big Data and Society 7 (1).
    Machine learning models are becoming increasingly prevalent in algorithmic trading and investment management. The spread of machine learning in finance challenges existing practices of modelling and model use and creates a demand for practical solutions for how to manage the complexity pertaining to these techniques. Drawing on interviews with quants applying machine learning techniques to financial problems, the article examines how these people manage model complexity in the process of devising machine learning-powered trading algorithms. The analysis shows that machine learning (...)
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