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  1. Centralized Funding and Epistemic Exploration.Shahar Avin - 2019 - British Journal for the Philosophy of Science 70 (3):629-656.
    Computer simulation of an epistemic landscape model, modified to include explicit representation of a centralized funding body, show the method of funding allocation has significant effects on communal trade-off between exploration and exploitation, with consequences for the community’s ability to generate significant truths. The results show this effect is contextual, and depends on the size of the landscape being explored, with funding that includes explicit random allocation performing significantly better than peer review on large landscapes. The article proposes a way (...)
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  • A Plea for Minimally Biased Naturalistic Philosophy.Andrea Polonioli - 2019 - Synthese 196 (9):3841-3867.
    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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  • The Necessity of Commensuration Bias in Grant Peer Review.Remco Heesen - unknown
    Peer reviewers at many funding agencies and scientific journals are asked to score submissions both on individual criteria and overall. The overall scores should be some kind of aggregate of the criteria scores. Carole Lee identifies this as a potential locus for bias to enter the peer review process, which she calls commensuration bias. Here I view the aggregation of scores through the lens of social choice theory. I argue that in many situations, especially when reviewing grant proposals, it is (...)
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  • The Reference Class Problem for Credit Valuation in Science.Carole J. Lee - manuscript
    Scholars belong to multiple communities of credit simultaneously. When these communities disagree about how much credit to assign to a scholarly achievement, this raises a puzzle for decision theory models of credit-seeking in science. The reference class problem for credit valuation in science is the problem of determining to which of an agent’s communities – which reference class – credit determinations should be indexed for any given act under any given state of nature. I will identify strategies and desiderata for (...)
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  • Psa 2018.Philsci-Archive -Preprint Volume- - unknown
    These preprints were automatically compiled into a PDF from the collection of papers deposited in PhilSci-Archive in conjunction with the PSA 2018.
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  • Centralized Funding and Epistemic Exploration.Shahar Avin - 2017 - British Journal for the Philosophy of Science:axx059.
    Computer simulation of an epistemic landscape model, modified to include explicit representation of a centralized funding body, show the method of funding allocation has significant effects on communal trade-off between exploration and exploitation, with consequences for the community’s ability to generate significant truths. The results show this effect is contextual, and depends on the size of the landscape being explored, with funding that includes explicit random allocation performing significantly better than peer-review on large landscapes. The paper proposes a way of (...)
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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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  • Centralised Funding and the Division of Cognitive Labour.Shahar Avin - unknown
    Project selection by funding bodies directly influences the division of cognitive labour in scientific communities. I present a novel adaptation of an existing agent-based model of scientific research, in which a central funding body selects from proposed projects located on an epistemic landscape. I simulate four different selection strategies: selection based on a god's-eye perspective of project significance, selection based on past success, selection based on past funding, and random selection. Results show the size of the landscape matters: on small (...)
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