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实验之外的科学新颖性。

Scientific novelty beyond the experiment.

机构信息

Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast, Belfast, UK.

Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA.

出版信息

Microb Biotechnol. 2023 Jun;16(6):1131-1173. doi: 10.1111/1751-7915.14222. Epub 2023 Feb 14.

Abstract

Practical experiments drive important scientific discoveries in biology, but theory-based research studies also contribute novel-sometimes paradigm-changing-findings. Here, we appraise the roles of theory-based approaches focusing on the experiment-dominated wet-biology research areas of microbial growth and survival, cell physiology, host-pathogen interactions, and competitive or symbiotic interactions. Additional examples relate to analyses of genome-sequence data, climate change and planetary health, habitability, and astrobiology. We assess the importance of thought at each step of the research process; the roles of natural philosophy, and inconsistencies in logic and language, as drivers of scientific progress; the value of thought experiments; the use and limitations of artificial intelligence technologies, including their potential for interdisciplinary and transdisciplinary research; and other instances when theory is the most-direct and most-scientifically robust route to scientific novelty including the development of techniques for practical experimentation or fieldwork. We highlight the intrinsic need for human engagement in scientific innovation, an issue pertinent to the ongoing controversy over papers authored using/authored by artificial intelligence (such as the large language model/chatbot ChatGPT). Other issues discussed are the way in which aspects of language can bias thinking towards the spatial rather than the temporal (and how this biased thinking can lead to skewed scientific terminology); receptivity to research that is non-mainstream; and the importance of theory-based science in education and epistemology. Whereas we briefly highlight classic works (those by Oakes Ames, Francis H.C. Crick and James D. Watson, Charles R. Darwin, Albert Einstein, James E. Lovelock, Lynn Margulis, Gilbert Ryle, Erwin R.J.A. Schrödinger, Alan M. Turing, and others), the focus is on microbiology studies that are more-recent, discussing these in the context of the scientific process and the types of scientific novelty that they represent. These include several studies carried out during the 2020 to 2022 lockdowns of the COVID-19 pandemic when access to research laboratories was disallowed (or limited). We interviewed the authors of some of the featured microbiology-related papers and-although we ourselves are involved in laboratory experiments and practical fieldwork-also drew from our own research experiences showing that such studies can not only produce new scientific findings but can also transcend barriers between disciplines, act counter to scientific reductionism, integrate biological data across different timescales and levels of complexity, and circumvent constraints imposed by practical techniques. In relation to urgent research needs, we believe that climate change and other global challenges may require approaches beyond the experiment.

摘要

实践实验推动了生物学中的重要科学发现,但基于理论的研究也做出了新颖的——有时甚至是范式改变的——发现。在这里,我们评估了以微生物生长和生存、细胞生理学、宿主-病原体相互作用以及竞争或共生相互作用等主导湿生物学研究领域为重点的基于理论的方法的作用。其他例子涉及到对基因组序列数据、气候变化和行星健康、可居住性和天体生物学的分析。我们评估了在研究过程的每一步中思考的重要性;自然哲学的作用,以及逻辑和语言中的不一致性,作为科学进步的驱动力;思想实验的价值;人工智能技术的使用和局限性,包括它们在跨学科和交叉学科研究中的潜力;以及其他情况下,理论是获得科学新颖性的最直接和最科学的途径,包括为实践实验或实地工作开发技术。我们强调了人类参与科学创新的内在必要性,这是当前关于使用人工智能撰写论文的争议的一个相关问题(例如,大型语言模型/聊天机器人 ChatGPT)。讨论的其他问题包括语言的某些方面如何使思维偏向于空间而不是时间(以及这种有偏见的思维如何导致有偏差的科学术语);对非主流研究的接受程度;以及基于理论的科学在教育和认识论中的重要性。虽然我们简要地强调了经典作品(奥克斯·埃姆斯、弗朗西斯·克里克和詹姆斯·沃森、查尔斯·达尔文、阿尔伯特·爱因斯坦、詹姆斯·洛夫洛克、林恩·马古利斯、吉尔伯特·赖尔、埃尔温·薛定谔、艾伦·麦席森·图灵等人的作品),但重点是最近的微生物学研究,讨论了它们在科学过程中的作用以及它们所代表的科学新颖性的类型。其中包括一些在 2020 年至 2022 年 COVID-19 大流行期间进行的研究,当时研究实验室的准入被禁止(或受限)。我们采访了一些与微生物学相关的特色论文的作者——尽管我们自己也参与实验室实验和实际实地工作——也从我们自己的研究经验中汲取了灵感,表明这些研究不仅可以产生新的科学发现,而且可以跨越学科之间的障碍,对抗科学还原论,整合不同时间尺度和复杂程度的生物数据,并规避实践技术带来的限制。关于紧迫的研究需求,我们认为气候变化和其他全球挑战可能需要超越实验的方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1447/10221578/90035f40e68a/MBT2-16-1131-g001.jpg

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