数据科学正在改变生物医学研究吗?COVID-19科学的证据、专业知识和实验

IF 1.4 2区哲学 Q1 HISTORY & PHILOSOPHY OF SCIENCE

Philosophy of Science Pub Date : 2023-10-04 DOI:10.1017/psa.2023.122

Sabina Leonelli

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引用次数: 0

摘要

数据科学的生物医学部署利用了大量的异构数据源。这促进了对什么是与健康有关的干预措施的证据的多元化理解，超出了与循证医学相关的限制。在COVID-19传播和预防研究方面，我考虑了这种证据多样化在以下方面的认知意义:(1)实验设计，特别是自然实验作为可靠流行病学知识来源的复兴;(2)建模实践，特别是认识到跨学科专业知识对于开发和解释数据模型至关重要。承认证据、实验和建模实践中的这种转变有助于避免数据密集型方法的有害应用。

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Is Data Science Transforming Biomedical Research? Evidence, Expertise and Experiments in COVID-19 Science

Abstract Biomedical deployments of data science capitalise on vast, heterogeneous data sources. This promotes a diversified understanding of what counts as evidence for health-related interventions, beyond the strictures associated with evidence-based medicine. Focusing on COVID-19 transmission and prevention research, I consider the epistemic implications of this diversification of evidence in relation to: (1) experimental design, especially the revival of natural experiments as sources of reliable epidemiological knowledge; and (2) modelling practices, particularly the recognition of transdisciplinary expertise as crucial to developing and interpreting data models. Acknowledging such shifts in evidential, experimental and modelling practices helps avoid harmful applications of data-intensive methods.

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来源期刊

Philosophy of Science 管理科学-科学史与科学哲学

CiteScore

3.10

自引率

5.90%

发文量

128

审稿时长

6-12 weeks

期刊介绍： Since its inception in 1934, Philosophy of Science, along with its sponsoring society, the Philosophy of Science Association, has been dedicated to the furthering of studies and free discussion from diverse standpoints in the philosophy of science. The journal contains essays, discussion articles, and book reviews.