Methodological and Cognitive Biases in Science: Issues for Current Research and Ways to Counteract Them

dc.contributor.authorManuela Fernández Pinto
dc.coverage.spatialBolivia
dc.date.accessioned2026-03-22T14:19:56Z
dc.date.available2026-03-22T14:19:56Z
dc.date.issued2023
dc.descriptionCitaciones: 13
dc.description.abstractAbstract Arguments discrediting the value-free ideal of science have left us with the question of how to distinguish desirable values from biases that compromise the reliability of research. In this paper, I argue for a characterization of cognitive biases as deviations of thought processes that systematically lead scientists to the wrong conclusions. In particular, cognitive biases could help us understand a crucial issue in science today: how systematic error is introduced in research outcomes, even when research is evaluated as of good quality. To conclude, I suggest that some debiasing mechanisms have great potential for countering implicit methodological biases in science.
dc.identifier.doi10.1162/posc_a_00589
dc.identifier.urihttps://doi.org/10.1162/posc_a_00589
dc.identifier.urihttps://andeanlibrary.org/handle/123456789/45893
dc.language.isoen
dc.publisherThe MIT Press
dc.relation.ispartofPerspectives on Science
dc.sourceUniversidad de Los Andes
dc.subjectDebiasing
dc.subjectCompromise
dc.subjectCognitive bias
dc.subjectQuality (philosophy)
dc.subjectCognition
dc.subjectPsychology
dc.subjectIdeal (ethics)
dc.subjectValue (mathematics)
dc.subjectReliability (semiconductor)
dc.subjectEpistemology
dc.titleMethodological and Cognitive Biases in Science: Issues for Current Research and Ways to Counteract Them
dc.typearticle

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