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  1. Scientific Networks on Data Landscapes: Question Difficulty, Epistemic Success, and Convergence.Patrick Grim, Daniel J. Singer, Steven Fisher, Aaron Bramson, William J. Berger, Christopher Reade, Carissa Flocken & Adam Sales - 2013 - Episteme 10 (4):441-464.
    A scientific community can be modeled as a collection of epistemic agents attempting to answer questions, in part by communicating about their hypotheses and results. We can treat the pathways of scientific communication as a network. When we do, it becomes clear that the interaction between the structure of the network and the nature of the question under investigation affects epistemic desiderata, including accuracy and speed to community consensus. Here we build on previous work, both our own and others’, in (...)
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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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  • Improving Deliberations by Reducing Misrepresentation Effects.Cyrille Imbert, Thomas Boyer-Kassem, Vincent Chevrier & Christine Bourjot - forthcoming - Episteme:1-17.
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  • Social Network Structure and the Achievement of Consensus.K. J. Zollman - 2012 - Politics, Philosophy and Economics 11 (1):26-44.
    It is widely believed that bringing parties with differing opinions together to discuss their differences will help both in securing consensus and also in ensuring that this consensus closely approximates the truth. This paper investigates this presumption using two mathematical and computer simulation models. Ultimately, these models show that increased contact can be useful in securing both consensus and truth, but it is not always beneficial in this way. This suggests one should not, without qualification, support policies which increase interpersonal (...)
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  • Epistemic Trust and Liberal Justification.Michael Fuerstein - 2013 - Journal of Political Philosophy 21 (2):179-199.
    In this paper I offer a distinctive epistemic rationale for the liberal practice of constant and ostentatious reason-giving in the political context. Epistemic trust is essential to democratic governance because as citizens we can only make informed decisions by relying on the claims of moral, scientific, and practical authorities around us. Yet rational epistemic trust is also uniquely fragile in the political context in light of both the radical inclusiveness of the relevant epistemic community (i.e., everyone who participates in the (...)
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  • Why Not All Evidence is Scientific Evidence.Carlos Santana - 2018 - Episteme 15 (2):209-227.
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  • Modeling Herding Behavior and its Risks.Michael Weisberg - 2013 - Journal of Economic Methodology 20 (1):6 - 18.
    (2013). Modeling herding behavior and its risks. Journal of Economic Methodology: Vol. 20, Methodology, Systemic Risk, and the Economics Profession, pp. 6-18. doi: 10.1080/1350178X.2013.774843.
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