Let’s not agree to disagree: the role of strategic disagreement in science

Santana, Carlos

doi:10.1007/s11229-019-02202-z

Cited by 6 publications

(2 citation statements)

References 35 publications

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“…There is a question, though, about whether confirmation bias, or other forms of arguably irrational stubbornness, are the best mechanisms by which to improve group learning. Santana (2021) argues that stubbornness in science can have negative consequences, such as hurting public trust. Wu and O'Connor (2023) give an overview of the literature on transient diversity of beliefs in network models, and argue that in scientific communities there are better ways to ensure this diversity than to encourage actors to be stubborn.…”

Section: Discussionmentioning

confidence: 99%

Can Confirmation Bias Improve Group Learning?

Gabriel,

O’Connor

2024

Philos. sci.

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Confirmation bias has been widely studied for its role in failures of reasoning. Individuals exhibiting confirmation bias fail to engage with information that contradicts their current beliefs, and, as a result, can fail to abandon inaccurate beliefs. But although most investigations of confirmation bias focus on individual learning, human knowledge is typically developed within a social structure. We use network models to show that moderate confirmation bias often improves group learning. However, a downside is that a stronger form of confirmation bias can hurt the knowledge producing capacity of the community.

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Section: Discussionmentioning

confidence: 99%

Can Confirmation Bias Improve Group Learning?

Gabriel,

O’Connor

2024

Philos. sci.

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“…This work too provides examples of social inquisitive reasons. For more discussion of the division of cognitive labor, see De Langhe (2014); Frey and Šešelja (2020); Muldoon (2013); Santana (2019); Thoma (2015) theory being favored for pursuit.…”

Section: Distribution Of Cognitive Labormentioning

confidence: 99%

Pursuit and inquisitive reasons

Fleisher

2022

Studies in History and Philosophy of Science

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Formal Models of Scientific Inquiry in a Social Context: An Introduction

2020

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Formal models of scientific inquiry, aimed at capturing socio-epistemic aspects underlying the process of scientific research, have become an important method in formal social epistemology and philosophy of science. In this introduction to the special issue we provide a historical overview of the development of formal models of this kind and analyze their methodological contributions to discussions in philosophy of science. In particular, we show that their significance consists in different forms of 'methodological iteration' (Elliott 2012) whereby the models initiate new lines of inquiry, isolate and clarify problems with existing knowledge claims, and stimulate further research.

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Let’s not agree to disagree: the role of strategic disagreement in science

Cited by 6 publications

References 35 publications

Can Confirmation Bias Improve Group Learning?

Can Confirmation Bias Improve Group Learning?

Pursuit and inquisitive reasons

Formal Models of Scientific Inquiry in a Social Context: An Introduction

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