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Statements

Subject Item
dbr:Adversarial_collaboration
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Adversarial collaboration
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In science, adversarial collaboration is a term used when two or more scientists with opposing views work together. This can take the form of a scientific experiment conducted by two groups of experimenters with competing hypotheses, with the aim of constructing and implementing an experimental design in a way that satisfies both groups that there are no obvious biases or weaknesses in the experimental design. Adversarial collaboration can involve a neutral moderator and lead to a co-designed experiment and joint publishing of findings in order to resolve differences.
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In science, adversarial collaboration is a term used when two or more scientists with opposing views work together. This can take the form of a scientific experiment conducted by two groups of experimenters with competing hypotheses, with the aim of constructing and implementing an experimental design in a way that satisfies both groups that there are no obvious biases or weaknesses in the experimental design. Adversarial collaboration can involve a neutral moderator and lead to a co-designed experiment and joint publishing of findings in order to resolve differences. Adversarial collaboration has been recommended by Daniel Kahneman and others as a way of reducing the distorting impact of cognitive-motivational biases on human reasoning and resolving contentious issues in fringe science. It has also been recommended as a potential solution for improving academic commentaries. Philip Tetlock and Gregory Mitchell have discussed it in various articles. They argue: Adversarial collaboration is most feasible when least needed: when the clashing camps have advanced testable theories, subscribe to common canons for testing those theories, and disagreements are robust but respectful. And adversarial collaboration is least feasible when most needed: when the scientific community lacks clear criteria for falsifying points of view, disagrees on key methodological issues, relies on second- or third-best substitute methods for testing causality, and is fractured into opposing camps that engage in ad hominem posturing and that have intimate ties to political actors who see any concession as weakness. Tetlock [maintains that] we should expect the greatest expected returns in the "murky middle" in which theory-testing conditions are less than ideal but not yet hopeless.
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