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  1. Scientific Conclusions Need Not Be Accurate, Justified, or Believed by their Authors.Haixin Dang & Liam Kofi Bright - 2021 - Synthese 199:8187–8203.
    We argue that the main results of scientific papers may appropriately be published even if they are false, unjustified, and not believed to be true or justified by their author. To defend this claim we draw upon the literature studying the norms of assertion, and consider how they would apply if one attempted to hold claims made in scientific papers to their strictures, as assertions and discovery claims in scientific papers seem naturally analogous. We first use a case study of (...)
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  2. A Role for Judgment Aggregation in Coauthoring Scientific Papers.Liam Kofi Bright, Haixin Dang & Remco Heesen - 2018 - 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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    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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