The Influence of Genetics on Philosophy of Science

Lorenzano, Pablo

doi:10.1007/978-1-4020-5664-2_7

The Influence of Genetics on Contemporary Thinking 2007

DOI: 10.1007/978-1-4020-5664-2_7

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The Influence of Genetics on Philosophy of Science

Pablo Lorenzano

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2023

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How do networks explain? A neo-hempelian approach to network explanations of the ecology of the microbiome

Díez,

Suárez

2023

Euro Jnl Phil Sci

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Despite the importance of network analysis in biological practice, dominant models of scientific explanation do not account satisfactorily for how this family of explanations gain their explanatory power in every specific application. This insufficiency is particularly salient in the study of the ecology of the microbiome. Drawing on Coyte et al. (2015) study of the ecology of the microbiome, Deulofeu et al. (2021) argue that these explanations are neither mechanistic, nor purely mathematical, yet they are substantially empirical. Building on their criticisms, in the present work we make a step further elucidating this kind of explanations with a general analytical framework according to which scientific explanations are ampliative, specialized embeddings (ASE), which has recently been successfully applied to other biological subfields. We use ASE to reconstruct in detail the Coyte et al.’s case study and on its basis, we claim that network explanations of the ecology of the microbiome, and other similar explanations in ecology, gain their epistemological force in virtue of their capacity to embed biological phenomena in non-accidental generalizations that are simultaneously ampliative and specialized.

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How do networks explain? A neo-hempelian approach to network explanations of the ecology of the microbiome

Díez,

Suárez

2023

Euro Jnl Phil Sci

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The Influence of Genetics on Philosophy of Science

Cited by 1 publication

References 42 publications

How do networks explain? A neo-hempelian approach to network explanations of the ecology of the microbiome

How do networks explain? A neo-hempelian approach to network explanations of the ecology of the microbiome

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