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  1. The Scientific Ponzi Scheme.Kevin J. S. Zollman - unknown
    Fraud and misleading research represent serious impediments to scientific progress. We must uncover the causes of fraud in order to understand how science functions and in order to develop strategies for combating epistemically detrimental behavior. This paper investigates how the incentive to commit fraud is enhanced by the structure of the scientific reward system. Science is an "accumulation process:" success begets resources which begets more success. Through a simplified mathematical model, I argue that this cyclic relationship enhances the appeal of (...)
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  • The credit incentive to be a maverick.Remco Heesen - 2019 - Studies in History and Philosophy of Science Part A 76:5-12.
    There is a commonly made distinction between two types of scientists: risk-taking, trailblazing mavericks and detail-oriented followers. A number of recent papers have discussed the question what a desirable mixture of mavericks and followers looks like. Answering this question is most useful if a scientific community can be steered toward such a desirable mixture. One attractive route is through credit incentives: manipulating rewards so that reward-seeking scientists are likely to form the desired mixture of their own accord. Here I argue (...)
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  • The Credit Economy and the Economic Rationality of Science.Kevin J. S. Zollman - 2018 - Journal of Philosophy 115 (1):5-33.
    Theories of scientific rationality typically pertain to belief. In this paper, the author argues that we should expand our focus to include motivations as well as belief. An economic model is used to evaluate whether science is best served by scientists motivated only by truth, only by credit, or by both truth and credit. In many, but not all, situations, scientists motivated by both truth and credit should be judged as the most rational scientists.
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  • When Does Evidence Suffice for Conviction?Martin Smith - 2018 - Mind 127 (508):1193-1218.
    There is something puzzling about statistical evidence. One place this manifests is in the law, where courts are reluctant to base affirmative verdicts on evidence that is purely statistical, in spite of the fact that it is perfectly capable of meeting the standards of proof enshrined in legal doctrine. After surveying some proposed explanations for this, I shall outline a new approach – one that makes use of a notion of normalcy that is distinct from the idea of statistical frequency. (...)
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  • Communism and the Incentive to Share in Science.Remco Heesen - 2017 - Philosophy of Science 84 (4):698-716.
    The communist norm requires that scientists widely share the results of their work. Where did this norm come from, and how does it persist? Michael Strevens provides a partial answer to these questions by showing that scientists should be willing to sign a social contract that mandates sharing. However, he also argues that it is not in an individual credit-maximizing scientist's interest to follow this norm. I argue against Strevens that individual scientists can rationally conform to the communist norm, even (...)
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  • Vindicating methodological triangulation.Remco Heesen, Liam Kofi Bright & Andrew Zucker - 2016 - Synthese 196 (8):3067-3081.
    Social scientists use many different methods, and there are often substantial disagreements about which method is appropriate for a given research question. In response to this uncertainty about the relative merits of different methods, W. E. B. Du Bois advocated for and applied “methodological triangulation”. This is to use multiple methods simultaneously in the belief that, where one is uncertain about the reliability of any given method, if multiple methods yield the same answer that answer is confirmed more strongly than (...)
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  • Laboratory Life. The Social Construction of Scientific Facts.Bruno Latour & Steve Woolgar - 1982 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 13 (1):166-170.
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  • Is a bird in the hand worth two in the bush? Or, whether scientists should publish intermediate results.Thomas Boyer - 2014 - Synthese 191 (1):17-35.
    A part of the scientific literature consists of intermediate results within a longer project. Scientists often publish a first result in the course of their work, while aware that they should soon achieve a more advanced result from this preliminary result. Should they follow the proverb “a bird in the hand is worth two in the bush”, and publish any intermediate result they get? This is the normative question addressed in this paper. My aim is to clarify, to refine, and (...)
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  • The Role of the Priority Rule in Science.Michael Strevens - 2003 - Journal of Philosophy 100 (2):55-79.
    Science's priority rule rewards those who are first to make a discovery, at the expense of all other scientists working towards the same goal, no matter how close they may be to making the same discovery. I propose an explanation of the priority rule that, better than previous explanations, accounts for the distinctive features of the rule. My explanation treats the priority system, and more generally, any scheme of rewards for scientific endeavor, as a device for achieving an allocation of (...)
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  • The division of cognitive labor.Philip Kitcher - 1990 - Journal of Philosophy 87 (1):5-22.
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  • Dynamics and Diversity in Epistemic Communities.Cailin O’Connor & Justin Bruner - 2019 - Erkenntnis 84 (1):101-119.
    Bruner shows that in cultural interactions, members of minority groups will learn to interact with members of majority groups more quickly—minorities tend to meet majorities more often as a brute fact of their respective numbers—and, as a result, may come to be disadvantaged in situations where they divide resources. In this paper, we discuss the implications of this effect for epistemic communities. We use evolutionary game theoretic methods to show that minority groups can end up disadvantaged in academic interactions like (...)
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  • What Is the Epistemic Function of Highly Idealized Agent-Based Models of Scientific Inquiry?Daniel Frey & Dunja Šešelja - 2018 - Philosophy of the Social Sciences 48 (4):407-433.
    In this paper we examine the epistemic value of highly idealized agent-based models of social aspects of scientific inquiry. On the one hand, we argue that taking the results of such simulations as informative of actual scientific inquiry is unwarranted, at least for the class of models proposed in recent literature. Moreover, we argue that a weaker approach, which takes these models as providing only “how-possibly” explanations, does not help to improve their epistemic value. On the other hand, we suggest (...)
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  • Dynamics and Diversity in Epistemic Communities.Cailin O’Connor & Justin Bruner - 2019 - Erkenntnis 84 (1):101-119.
    Bruner shows that in cultural interactions, members of minority groups will learn to interact with members of majority groups more quickly—minorities tend to meet majorities more often as a brute fact of their respective numbers—and, as a result, may come to be disadvantaged in situations where they divide resources. In this paper, we discuss the implications of this effect for epistemic communities. We use evolutionary game theoretic methods to show that minority groups can end up disadvantaged in academic interactions like (...)
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  • Academic superstars: competent or lucky?Remco Heesen - 2017 - Synthese 194 (11):4499-4518.
    I show that the social stratification of academic science can arise as a result of academics’ preference for reading work of high epistemic value. This is consistent with a view on which academic superstars are highly competent academics, but also with a view on which superstars arise primarily due to luck. I argue that stratification is beneficial if most superstars are competent, but not if most superstars are lucky. I also argue that it is impossible to tell whether most superstars (...)
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  • Why the Reward Structure of Science Makes Reproducibility Problems Inevitable.Remco Heesen - 2018 - Journal of Philosophy 115 (12):661-674.
    Recent philosophical work has praised the reward structure of science, while recent empirical work has shown that many scientific results may not be reproducible. I argue that the reward structure of science incentivizes scientists to focus on speed and impact at the expense of the reproducibility of their work, thus contributing to the so-called reproducibility crisis. I use a rational choice model to identify a set of sufficient conditions for this problem to arise, and I argue that these conditions plausibly (...)
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  • On fraud.Liam Kofi Bright - 2017 - Philosophical Studies 174 (2):291-310.
    Preferably scientific investigations would promote true rather than false beliefs. The phenomenon of fraud represents a standing challenge to this veritistic ideal. When scientists publish fraudulent results they knowingly enter falsehoods into the information stream of science. Recognition of this challenge has prompted calls for scientists to more consciously adopt the veritistic ideal in their own work. In this paper I argue against such promotion of the veritistic ideal. It turns out that a sincere desire on the part of scientists (...)
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  • The natural selection of conservative science.Cailin O'Connor - 2019 - Studies in History and Philosophy of Science Part A 76:24-29.
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  • Policing epistemic communities.Justin P. Bruner - 2013 - Episteme 10 (4):403-416.
    I examine how particular social arrangements and incentive structures encourage the honest reporting of experimental results and minimize fraudulent scientific work. In particular I investigate how epistemic communities can achieve this goal by promoting members to police the community. Using some basic tools from game theory, I explore a simple model in which scientists both conduct research and have the option of investigating the findings of their peers. I find that this system of peer policing can in many cases ensure (...)
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  • Social Stratification in Science.Jonathan R. Cole & Stephen Cole - 1974 - Science and Society 38 (3):374-378.
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