Science and Values

Edited by Matthew J. Brown (Southern Illinois University - Carbondale)
Assistant editor: Daniel Hicks
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  1. The Influence of Values on Medical Research.S. Andrew Schroeder - forthcoming - In Oxford Handbook of Philosophy of Medicine. Oxford: Oxford University Press.
    Mainstream views of medical research tell us it should be a fact-based, value-free endeavor: what a scientist (or her funding source) wants or cares about should not influence her findings. At the same time, we also sometimes criticize medical research for failing to embody certain values, e.g. when we criticize pharmaceutical companies for largely ignoring the diseases that affect the global poor. This chapter seeks to reconcile these perspectives by distinguishing appropriate from inappropriate influences of values on medical research. It (...)
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  2. Social Science, Policy and Democracy.Johanna Thoma - 2023 - Philosophy and Public Affairs 52 (1):5-41.
    Philosophy &Public Affairs, Volume 52, Issue 1, Page 5-41, Winter 2024.
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  3. How pluralistic is pluralism really? A case study of Sandra Mitchell’s Integrative Pluralism.Ragnar van der Merwe - 2024 - Theoria: Revista de Teoría, Historia y Fundamentos de la Ciencia 38 (3):319-338.
    Epistemic pluralists in the philosophy of science often argue that different epistemic perspectives in science are equally warranted. Sandra Mitchell – with her Integrative Pluralism (IP) – has notably advocated for this kind of epistemic pluralism. A problem arises for Mitchell however because she also wants to be an epistemological pluralist. She claims that, not only are different epistemic perspectives in science equally warranted in different contexts, but different understandings of these epistemic perspectives in science are also equally warranted in (...)
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  4. Straightening the ‘value-laden turn’: minimising the influence of extra-scientific values in science.Philippe Stamenkovic - 2024 - Synthese 203 (20):1-38.
    Straightening the current ‘value-laden turn’ (VLT) in the philosophical literature on values in science, and reviving the legacy of the value-free ideal of science (VFI), this paper argues that the influence of extra-scientific values should be minimised—not excluded—in the core phase of scientific inquiry where claims are accepted or rejected. Noting that the original arguments for the VFI (ensuring the truth of scientific knowledge, respecting the autonomy of science results users, preserving public trust in science) have not been satisfactorily addressed (...)
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  5. On the Harms of Agnotological Practices and How to Address Them.Inmaculada de Melo-Martín - 2023 - International Studies in the Philosophy of Science 36 (3):211-228.
    Although science is our most reliable producer of knowledge, it can also be used to create ignorance, unjustified doubt, and misinformation. In doing so, agnotological practices result not only in epistemic harms but also in social ones. A way to prevent or minimise such harms is to impede these ignorance-producing practices. In this paper, I explore various challenges to such a proposal. I first argue that reliably identifying agnotological practices in a way that permits the prevention of relevant harms is (...)
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  6. The Importance of Realism about Gender Kinds: Lessons from Beauvoir.Theodore Bach - 2023 - Analyse & Kritik 45 (2):269-295.
    Beauvoir’s The Second Sex stands out as a master class in the accommodation of conceptual and inferential practices to real, objective gender kinds. Or so I will argue. To establish this framing, we will first need in hand the kind of scientific epistemology that correctly reconciles epistemic progress and error, particularly as pertains to the unruly social sciences. An important goal of the paper is to develop that epistemological framework and unlock its ontological implications for the domain of gender. As (...)
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  7. What is a Beautiful Experiment?Milena Ivanova - 2022 - Erkenntnis 88 (8):3419-3437.
    This article starts an engagement on the aesthetics of experiments and offers an account for analysing how aesthetics features in the design, evaluation and reception of experiments. I identify two dimensions of aesthetic evaluation of experiments: design and significance. When it comes to design, a number of qualities, such as simplicity, economy and aptness, are analysed and illustrated with the famous Meselson-Stahl experiment. Beautiful experiments are also regarded to make significant discoveries, but I argue against a narrow construal of experimental (...)
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  8. Three Criteria for Virtuous Collaboration Across Epistemic Practices: A Case from Sentimentalism and Field Environmental Philosophy.Nicolas Silva & Esteban Céspedes - 2023 - Journal of Ethnobiology 43 (3):239-249.
    The present paper proposes three desiderata that methodologies for collaboration between philosophy and ethnobiology should satisfy. The account considers that a focus on a sentimentalist virtue epistemology is necessary to effectively address problems and challenges in such collaborations. Our focus on sentimentalism is further elaborated through three desiderata: (D1) The context of the collaboration should encourage receptivity among practitioners; (D2) collaborations should aim to produce knowledge that addresses the problems faced by stakeholders; and (D3) relevant communities and collaborators for each (...)
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  9. Science Communication and the Problematic Impact of Descriptive Norms.Uwe Peters - 2023 - British Journal for the Philosophy of Science 74 (3):713-738.
    When scientists or science reporters communicate research results to the public, this often involves ethical and epistemic risks. One such risk arises when scientific claims cause cognitive or behavioural changes in the audience that contribute to the self-fulfilment of these claims. I argue that the ethical and epistemic problems that such self-fulfilment effects may pose are much broader and more common than hitherto appreciated. Moreover, these problems are often due to a specific psychological phenomenon that has been neglected in the (...)
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  10. Varying Evidential Standards as a Matter of Justice.Ahmad Elabbar - forthcoming - British Journal for the Philosophy of Science.
    The setting of evidential standards is a core practice of scientific assessment for policy. Persuaded by considerations of inductive risk, philosophers generally agree that the justification of evidential standards must appeal to non-epistemic values but debate whether the balance of non-epistemic reasons favours varying evidential standards versus maintaining fixed high evidential standards in assessment, as both sets of standards promote different and important political virtues of advisory institutions. In this paper, I adjudicate the evidential standards debate by developing a novel (...)
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  11. The Medical Model of “Obesity” and the Values Behind the Guise of Health.Kayla R. Mehl - forthcoming - Synthese 201 (6):1-28.
    Assumptions about obesity—e.g., its connection to ill health, its causes, etc.—are still prevalent today, and they make up what I call the medical model of fatness. In this paper, I argue that the medical model was established on the basis of insufficient evidence and has nevertheless continued to be relied upon to justify methodological choices that further entrench the assumptions of the medical model. These choices are illegitimate in so far as they conflict with both the epistemic and social aims (...)
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  12. How Uncertainty Interacts with Ethical Values in Climate Change Research.Casey Helgeson, Wendy Parker & Nancy Tuana - forthcoming - In Linda Mearns, Chris Forest, Hayley Fowler, Robert Lempert & Robert Wilby (eds.), Uncertainty in Climate Change Research: An Integrated Approach. Springer.
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  13. Algorithmic neutrality.Milo Phillips-Brown - manuscript
    Bias infects the algorithms that wield increasing control over our lives. Predictive policing systems overestimate crime in communities of color; hiring algorithms dock qualified female candidates; and facial recognition software struggles to recognize dark-skinned faces. Algorithmic bias has received significant attention. Algorithmic neutrality, in contrast, has been largely neglected. Algorithmic neutrality is my topic. I take up three questions. What is algorithmic neutrality? Is algorithmic neutrality possible? When we have algorithmic neutrality in mind, what can we learn about algorithmic bias? (...)
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  14. Thinking about Values in Science: Ethical versus Political Approaches.S. Andrew Schroeder - 2022 - Canadian Journal of Philosophy 52 (3):246-255.
    Philosophers of science now broadly agree that doing good science involves making non-epistemic value judgments. I call attention to two very different normative standards which can be used to evaluate such judgments: standards grounded in ethics and standards grounded in political philosophy. Though this distinction has not previously been highlighted, I show that the values in science literature contain arguments of each type. I conclude by explaining why this distinction is important. Seeking to determine whether some value-laden determination meets substantive (...)
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  15. Diversifying science: comparing the benefits of citizen science with the benefits of bringing more women into science.S. Andrew Schroeder - 2022 - Synthese 200 (4):1-20.
    I compare two different arguments for the importance of bringing new voices into science: arguments for increasing the representation of women, and arguments for the inclusion of the public, or for “citizen science”. I suggest that in each case, diversifying science can improve the quality of scientific results in three distinct ways: epistemically, ethically, and politically. In the first two respects, the mechanisms are essentially the same. In the third respect, the mechanisms are importantly different. Though this might appear to (...)
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  16. Should Animal Welfare Be Defined in Terms of Consciousness?Jonathan Birch - 2022 - Philosophy of Science 89 (5):1114-1123.
    Definitions of animal welfare often invoke consciousness or sentience. Marian Stamp Dawkins has argued that to define animal welfare this way is a mistake. In Dawkins’s alternative view, an animal with good welfare is one that is healthy and “has what it wants.” The dispute highlights a source of strain on the concept of animal welfare: consciousness-involving definitions are better able to capture the normative significance of welfare, whereas consciousness-free definitions facilitate the validation of welfare indicators. I reflect on how (...)
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  17. Science, Trust and Justice: More lessons from the Pandemic.Faik Kurtulmuş - 2022 - Social Epistemology Review and Reply Collective 11 (6):11-17.
    Take a question like the safety and effectiveness of COVID-19 vaccines. Whether an ordinary citizen or a public official can acquire the correct answer to this question depends on the functioning of the epistemic basic structure of their society. The epistemic basic structure of a society consists of “the institutions that have a crucial role in the distribution of knowledge, that is, in the production and dissemination of knowledge, and in ensuring that people have the capability to assimilate what is (...)
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  18. Inductive Risk, Understanding, and Opaque Machine Learning Models.Emily Sullivan - 2022 - Philosophy of Science 89 (5):1065-1074.
    Under what conditions does machine learning (ML) model opacity inhibit the possibility of explaining and understanding phenomena? In this article, I argue that nonepistemic values give shape to the ML opacity problem even if we keep researcher interests fixed. Treating ML models as an instance of doing model-based science to explain and understand phenomena reveals that there is (i) an external opacity problem, where the presence of inductive risk imposes higher standards on externally validating models, and (ii) an internal opacity (...)
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  19. An Ethical Framework for Presenting Scientific Results to Policy-Makers.S. Andrew Schroeder - 2022 - Kennedy Institute of Ethics Journal 32 (1):33-67.
    Scientists have the ability to influence policy in important ways through how they present their results. Surprisingly, existing codes of scientific ethics have little to say about such choices. I propose that we can arrive at a set of ethical guidelines to govern scientists’ presentation of information to policymakers by looking to bioethics: roughly, just as a clinician should aim to promote informed decision-making by patients, a scientist should aim to promote informed decision-making by policymakers. Though this may sound like (...)
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  20. THOMAS KUHN’UN FELSEFESİ ve TÜRKİYE’YE YANSIMALARI.Rabia Karaköse - 2020 - Dissertation, Ankara Yildirim Beyazit Üni̇versi̇tesi̇
    This study investigates Thomas Kuhn’s philosophy that had broad influence in philosophy of science by his book The Structure of Scientific Revolutions, and the contributions of his philosophy to Turkish philosophical literature. Kuhnian part of the picture of science debates brings to light considering the works done in Turkey upon the philosophy of Kuhn. In the first part of the thesis, T. Kuhn's life and works are mentioned. The second part focuses on Kuhn's philosophy of science and the concept of (...)
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  21. Function, Dysfunction, and the Concept of Mental Disorder.Jonathan Y. Tsou - 2021 - Philosophy, Psychiatry, and Psychology 28 (4):371-375.
    Naturalistic accounts of mental disorder aim to identify an objective basis for attributions of mental disorder. This goal is important for demarcating genuine mental disorders from artificial or socially constructed disorders. The articulation of a demarcation criterion provides a means for assuring that attributions of 'mental disorder' are not merely pathologizing different forms of social deviance. The most influential naturalistic and hybrid definitions of mental disorder identify biological dysfunction as the objective basis of mental disorders: genuine mental...
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  22. The FDA Ought to Change Plan B’s Label.Christopher ChoGlueck - 2022 - Contraception 106.
    This commentary defends 3 arguments for changing the label of levonorgestrel-based emergency contraception (LNG EC) so that it no longer supports the possibility of a mechanism of action after fertilization. First, there is no direct scientific evidence confirming any postfertilization mechanisms. Second, despite the weight of evidence, there is still widespread public misunderstanding over the mechanism of LNG EC. Third, this FDA label is not a value-free claim, but instead it has functioned like a political tool for reducing contraceptive access. (...)
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  23. Were Lockdowns Justified? A Return to the Facts and Evidence.Philippe van Basshuysen & Lucie White - 2021 - Kennedy Institute of Ethics Journal 31 (4):405-428.
    Were governments justified in imposing lockdowns to contain the spread of the COVID-19 pandemic? We argue that a convincing answer to this question is to date wanting, by critically analyzing the factual basis of a recent paper, “How Government Leaders Violated Their Epistemic Duties During the SARS-CoV-2 Crisis” (Winsberg et al. 2020). In their paper, Winsberg et al. argue that government leaders did not, at the beginning of the pandemic, meet the epistemic requirements necessitated to impose lockdowns. We focus on (...)
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  24. The Epistemic Duties of Philosophers: An Addendum.Philippe van Basshuysen & Lucie White - 2021 - Kennedy Institute of Ethics Journal 31 (4):447-451.
    We were slightly concerned, upon having read Eric Winsberg, Jason Brennan and Chris Surprenant’s reply to our paper “Were Lockdowns Justified? A Return to the Facts and Evidence”, that they may have fundamentally misunderstood the nature of our argument, so we issue the following clarification, along with a comment on our motivations for writing such a piece, for the interested reader.
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  25. Democratising Measurement: or Why Thick Concepts Call for Coproduction.Anna Alexandrova & Mark Fabian - 2021 - European Journal for Philosophy of Science 12 (1):1-23.
    Thick concepts, namely those concepts that describe and evaluate simultaneously, present a challenge to science. Since science does not have a monopoly on value judgments, what is responsible research involving such concepts? Using measurement of wellbeing as an example, we first present the options open to researchers wishing to study phenomena denoted by such concepts. We argue that while it is possible to treat these concepts as technical terms, or to make the relevant value judgment in-house, the responsible thing to (...)
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  26. The rise of logical empiricist philosophy of science and the fate of speculative philosophy of science.Joel Katzav & Krist Vaesen - 2022 - Hopos: The Journal of the International Society for the History of Philosophy of Science 12 (2):000-000.
    This paper contributes to explaining the rise of logical empiricism in mid-twentieth century (North) America and to a better understanding of American philosophy of science before the dominance of logical empiricism. We show that, contrary to a number of existing histories, philosophy of science was already a distinct subfield of philosophy, one with its own approaches and issues, even before logical empiricists arrived in America. It was a form of speculative philosophy with a concern for speculative metaphysics, normative issues relating (...)
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  27. When Is Scientific Dissent Epistemically Inappropriate?Boaz Miller - 2021 - Philosophy of Science 88 (5):918-928.
    Normatively inappropriate scientific dissent prevents warranted closure of scientific controversies and confuses the public about the state of policy-relevant science, such as anthropogenic climate change. Against recent criticism by de Melo-Martín and Intemann of the viability of any conception of normatively inappropriate dissent, I identify three conditions for normatively inappropriate dissent: its generation process is politically illegitimate, it imposes an unjust distribution of inductive risks, and it adopts evidential thresholds outside an accepted range. I supplement these conditions with an inference-to-the-best-explanation (...)
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  28. Responsibility for Collective Epistemic Harms.Will Fleisher & Dunja Šešelja - 2023 - Philosophy of Science 90 (1):1-20.
    Discussion of epistemic responsibility typically focuses on belief formation and actions leading to it. Similarly, accounts of collective epistemic responsibility have addressed the issue of collective belief formation and associated actions. However, there has been little discussion of collective responsibility for preventing epistemic harms, particularly those preventable only by the collective action of an unorganized group. We propose an account of collective epistemic responsibility which fills this gap. Building on Hindriks' (2019) account of collective moral responsibility, we introduce the Epistemic (...)
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  29. Do Political Attitudes Matter for Epistemic Decisions of Scientists?Vlasta Sikimić, Tijana Nikitović, Miljan Vasić & Vanja Subotić - 2021 - Review of Philosophy and Psychology 12 (4):775-801.
    The epistemic attitudes of scientists, such as epistemic tolerance and authoritarianism, play important roles in the discourse about rivaling theories. Epistemic tolerance stands for the mental attitude of an epistemic agent, e.g., a scientist, who is open to opposing views, while epistemic authoritarianism represents the tendency to uncritically accept views of authorities. Another relevant epistemic factor when it comes to the epistemic decisions of scientists is the skepticism towards the scientific method. However, the question is whether these epistemic attitudes are (...)
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  30. Eugenics Offended.Robert A. Wilson - 2021 - Monash Bioethics Review 39 (2):169-176.
    This commentary continues an exchange on eugenics in Monash Bioethics Review between Anomaly (2018), Wilson (2019), and Veit, Anomaly, Agar, Singer, Fleischman, and Minerva (2021). The eponymous question, “Can ‘Eugenics’ be Defended?”, is multiply ambiguous and does not receive a clear answer from Veit et al.. Despite their stated desire to move beyond mere semantics to matters of substance, Veit et al. concentrate on several uses of the term “eugenics” that pull in opposite directions. I argue, first, that Veit et (...)
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  31. Revaluing Laws of Nature in Secularized Science.Eli I. Lichtenstein - 2022 - In Yemima Ben-Menahem (ed.), Rethinking the Concept of Law of Nature: Natural Order in the Light of Contemporary Science. Springer. pp. 347-377.
    Discovering laws of nature was a way to worship a law-giving God, during the Scientific Revolution. So why should we consider it worthwhile now, in our own more secularized science? For historical perspective, I examine two competing early modern theological traditions that related laws of nature to different divine attributes, and their secular legacy in views ranging from Kant and Nietzsche to Humean and ‘governing’ accounts in recent analytic metaphysics. Tracing these branching offshoots of ethically charged God-concepts sheds light on (...)
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  32. Attention to Values Helps Shape Convergence Research.Casey Helgeson, Robert E. Nicholas, Klaus Keller, Chris E. Forest & Nancy Tuana - 2022 - Climatic Change 170.
    Convergence research is driven by specific and compelling problems and requires deep integration across disciplines. The potential of convergence research is widely recognized, but questions remain about how to design, facilitate, and assess such research. Here we analyze a seven-year, twelve-million-dollar convergence project on sustainable climate risk management to answer two questions. First, what is the impact of a project-level emphasis on the values that motivate and tie convergence research to the compelling problems? Second, how does participation in convergence projects (...)
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  33. Call for Written evidence - Risk Assessment and Risk Planning.Marie Oldfield - 2021 - UK Government Risk Enquiry.
    Call for Written evidence - Risk Assessment and Risk Planning.
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  34. Wherein is the concept of disease normative? From weak normativity to value-conscious naturalism.M. Cristina Amoretti & Elisabetta Lalumera - 2021 - Medicine, Health Care and Philosophy 25 (1):1-14.
    In this paper we focus on some new normativist positions and compare them with traditional ones. In so doing, we claim that if normative judgments are involved in determining whether a condition is a disease only in the sense identified by new normativisms, then disease is normative only in a weak sense, which must be distinguished from the strong sense advocated by traditional normativisms. Specifically, we argue that weak and strong normativity are different to the point that one ‘normativist’ label (...)
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  35. Non-Epistemic Factors in Epidemiological Models. The Case of Mortality Data.M. Cristina Amoretti & Elisabetta Lalumera - 2021 - Mefisto 1 (5):65-78.
    The COVID-19 pandemic has made it especially visible that mortality data are a key component of epidemiological models, being a single indicator that provides information about various health aspects, such as disease prevalence and effectiveness of interventions, and thus enabling predictions on many fronts. In this paper we illustrate the interrelation between facts and values in death statistics, by analyzing the rules for death certification issued by the World Health Organization. We show how the notion of the underlying cause of (...)
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  36. What is the environment in environmental health research? Perspectives from the ethics of science.David M. Frank - 2021 - Studies in History and Philosophy of Science Part A 88 (C):172-180.
    Environmental health research produces scientific knowledge about environmental hazards crucial for public health and environmental justice movements that seek to prevent or reduce exposure to these hazards. The environment in environmental health research is conceptualized as the range of possible social, biological, chemical, and/or physical hazards or risks to human health, some of which merit study due to factors such as their probability and severity, the feasibility of their remediation, and injustice in their distribution. This paper explores the ethics of (...)
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  37. Longino's Concept of Values in Science.Miroslav Vacura - 2021 - Teorie Vědy / Theory of Science 43 (1):3-31.
    While classical neo-positivists reject any role for traditionally understood values in science, Kuhn identifies five specific values as criteria for assessing a scientific theory; this approach has been further developed by several other authors. This paper focuses on Helen Longino, who presents a significant contemporary critique of Kuhn’s concept. The most controversial aspect of Longino’s position is arguably her claim that the criterion of empirical adequacy is the least defensible basis for assessing theories. The de-emphasizing of the importance of external (...)
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  38. Interrogating Incoherence and Prospects for a Trans-Positive Psychiatry.Robert A. Wilson - forthcoming - Australasian Philosophical Review.
    Invited commentary on Nicole A. Vincent and Emma A. Jane, “Interrogating Incongruence: Conceptual and Normative Problems with ICD-11’s and DSM-5’s Diagnostic Categories for Transgender People” Australasian Philosophical Review, in press. -/- The core of Vincent and Jane’s Interrogating Incongruence is critical of the appeal to the concept of incongruence in DSM-5 and ICD-11 characterisations of trans people, a critique taken to be ground-clearing for more trans-positive, psychiatrically-infused medical interventions. I concur with Vincent and Jane’s ultimate goals but depart from the (...)
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  39. Distributive Epistemic Justice in Science.Gürol Irzik & Faik Kurtulmus - 2021 - British Journal for the Philosophy of Science.
    This article develops an account of distributive epistemic justice in the production of scientific knowledge. We identify four requirements: (a) science should produce the knowledge citizens need in order to reason about the common good, their individual good and pursuit thereof; (b) science should produce the knowledge those serving the public need to pursue justice effectively; (c) science should be organized in such a way that it does not aid the wilful manufacturing of ignorance; and (d) when making decisions about (...)
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  40. Following the Science: Pandemic Policy Making and Reasonable Worst-Case Scenarios.Richard Bradley & Joe Roussos - 2021 - LSE Public Policy Review 1 (4):6.
    The UK has been ‘following the science’ in response to the COVID-19 pandemic in line with the national framework for the use of scientific advice in assessment of risk. We argue that the way in which it does so is unsatisfactory in two important respects. Firstly, pandemic policy making is not based on a comprehensive assessment of policy impacts. And secondly, the focus on reasonable worst-case scenarios as a way of managing uncertainty results in a loss of decision-relevant information and (...)
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  41. The Democratization of Science.Faik Kurtulmus - 2021 - In David Ludwig, Inkeri Koskinen, Zinhle Mncube, Luana Poliseli & Luis Reyes-Galindo (eds.), Global Epistemologies and Philosophies of Science. Routledge. pp. 145-154.
    The democratization of science entails the public having greater influence over science and that influence being shared more equally among members of the public. This chapter will present a thumbnail sketch of the arguments for the democratization of science based on the importance of collectively shaping science’s impact on society, the instrumental benefits of public participation in science, and the need to ensure that the use of science in politics does not undermine collective self-government. It will then outline worries about (...)
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  42. Introduction: Reimagining Epistemology and Philosophy of Science from a Global Perspective.David Ludwig - 2021 - In Inkeri Koskinen, David Ludwig, Zinhle Mncube, Luana Poliseli & Luis Reyes-Galindo (eds.), Global Epistemologies and Philosophies of Science. Routledge.
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  43. Why Simpler Computer Simulation Models Can Be Epistemically Better for Informing Decisions.Casey Helgeson, Vivek Srikrishnan, Klaus Keller & Nancy Tuana - 2021 - Philosophy of Science 88 (2):213-233.
    For computer simulation models to usefully inform climate risk management, uncertainties in model projections must be explored and characterized. Because doing so requires running the model many ti...
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  44. Sustainability science as a management science : beyond the natural-social divide.Michiru Nagatsu & Henrik Thorén (eds.) - 2021 - New York: Routledge.
    In this chapter, we argue that in order to understand the interdisciplinary and transdisciplinary dialectics in sustainability science, it is useful to see sustainability science as a kind of management science, and then to highlight the hard-soft distinction in systems thinking. First, we argue that the commonly made natural-social science dichotomy is relatively unimportant and unhelpful. We then outline the differences between soft and hard systems thinking as a more relevant and helpful distinction, mainly as a difference between perspectives in (...)
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  45. Does environmental science crowd out non-epistemic values?Kinley Gillette, Stephen Andrew Inkpen & C. Tyler DesRoches - 2021 - Studies in History and Philosophy of Science Part A 87 (C):81-92.
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  46. Hacia una interpretación axiológica de la ciencia.José Ramón Fabelo Corzo - 1999 - Magistralis 16 (16):113-134.
    La integración cada vez mas evidente de la ciencia а la vida social, su nexo mucho mas directo con los acuciantes problemas de la civilización actual, su influencia decisivamente positiva о negativa en la solución о agravamiento de estos problemas han despertado la conciencia sobre la importancia de los factores valorativos en еl desarrollo del conocimiento científico у sobre el valor de la propia ciencia. Al análisis de esta relación entre ciencia y valor se dedica el presente artículo.
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  47. Hidden figures: epistemic costs and benefits of detecting (invisible) diversity in science.Uwe Peters - 2021 - European Journal for Philosophy of Science 11 (1):1-21.
    Demographic diversity might often be present in a group without group members noticing it. What are the epistemic effects if they do? Several philosophers and social scientists have recently argued that when individuals detect demographic diversity in their group, this can result in epistemic benefits even if that diversity doesn’t involve cognitive differences. Here I critically discuss research advocating this proposal, introduce a distinction between two types of detection of demographic diversity, and apply this distinction to the theorizing on diversity (...)
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  48. Science and Policy in Extremis: The UK’s Initial Response to COVID-19.Jonathan Birch - 2021 - European Journal for Philosophy of Science 11 (3):90.
    Drawing on the SAGE minutes and other documents, I consider the wider lessons for norms of scientific advising that can be learned from the UK’s initial response to coronavirus in the period January-March 2020, when an initial strategy that planned to avoid total suppression of transmission was abruptly replaced by an aggressive suppression strategy. I introduce a distinction between “normatively light advice”, in which no specific policy option is recommended, and “normatively heavy advice” that does make an explicit recommendation. I (...)
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  49. Towards Post-Pandemic Sustainable and Ethical Food Systems.Matthias Kaiser, Stephen Goldson, Tatjana Buklijas, Peter Gluckman, Kristiann Allen, Anne Bardsley & Mimi E. Lam - 2021 - Food Ethics 6 (1).
    The current global COVID-19 pandemic has led to a deep and multidimensional crisis across all sectors of society. As countries contemplate their mobility and social-distancing policy restrictions, we have a unique opportunity to re-imagine the deliberative frameworks and value priorities in our food systems. Pre-pandemic food systems at global, national, regional and local scales already needed revision to chart a common vision for sustainable and ethical food futures. Re-orientation is also needed by the relevant sciences, traditionally siloed in their disciplines (...)
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  50. The limits of conventional justification: inductive risk and industry bias beyond conventionalism.Miguel Ohnesorge - 2020 - Frontiers in Research Metric and Analytics 14.
    This article develops a constructive criticism of methodological conventionalism. Methodological conventionalism asserts that standards of inductive risk ought to be justified in virtue of their ability to facilitate coordination in a research community. On that view, industry bias occurs when conventional methodological standards are violated to foster industry preferences. The underlying account of scientific conventionality, however, is problematically incomplete. Conventions may be justified in virtue of their coordinative functions, but often qualify for posterior empirical criticism as research advances. Accordingly, industry (...)
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