Ratti, Emanuele and Stoeger, Thomas (2021) Large-scale Biology: Philosophical, Historical, and Computational Perspectives. [Preprint]
|
Text
Ratti and Stoeger - Large Scale Biology.pdf Download (1MB) | Preview |
Abstract
The relation between the ethos of large-scale projects in the life sciences and the epistemic culture of molecular biology has been the subject of heated discussions for the past 30 years. Molecular biology is typically a ‘small science’, organized around a laboratory leader who decides what to pursue, placing ‘bets’ on different research strategies. ‘Large-scale’ biology has taken several forms, from centralized computational infrastructures, to big consortia distributed throughout a country and distributing efforts among many ‘small’ units. While several scholars have analyzed how large-scale biology has impacted the sociological, epistemic, and the governance structure of molecular biology, works investigating how its discovery strategies have been shaped by large-scale projects have been elusive. In this paper, we identify two ways in which large-scale biology could possibly influence the discovery strategies of traditional molecular biology. First, large-scale projects can be facilitators: while small labs continue to pursue their own interests, the way their hypotheses are developed is facilitated by the resources provided by large-scale projects. Second, large-scale projects can be epistemically centralizing: they set the research agenda of molecular biology labs by constraining the choices of hypotheses to pursue in the first place. As an example of the former, we discuss the Human Genome Project from a historical and epistemic angle. As an example of the latter, we discuss The Cancer Genome Atlas. In order to explore the effects of this project on discovery strategies, we perform a thorough computational analysis of the literature on cancer gene from the 1980s to 2018.
Export/Citation: | EndNote | BibTeX | Dublin Core | ASCII/Text Citation (Chicago) | HTML Citation | OpenURL |
Social Networking: |
Item Type: | Preprint | |||||||||
---|---|---|---|---|---|---|---|---|---|---|
Creators: |
|
|||||||||
Keywords: | large-scale biology; big science; molecular biology; discovery strategies; Human Genome Project; cancer genomics | |||||||||
Subjects: | General Issues > Data Specific Sciences > Biology > Molecular Biology/Genetics General Issues > Experimentation |
|||||||||
Depositing User: | Dr Emanuele Ratti | |||||||||
Date Deposited: | 21 May 2021 02:58 | |||||||||
Last Modified: | 21 May 2021 02:58 | |||||||||
Item ID: | 19074 | |||||||||
Subjects: | General Issues > Data Specific Sciences > Biology > Molecular Biology/Genetics General Issues > Experimentation |
|||||||||
Date: | 2021 | |||||||||
URI: | https://philsci-archive.pitt.edu/id/eprint/19074 |
Monthly Views for the past 3 years
Monthly Downloads for the past 3 years
Plum Analytics
Actions (login required)
View Item |