Shneider Alexander M
Cure Lab, Needham, MA 02492, USA.
Trends Biochem Sci. 2009 May;34(5):217-23. doi: 10.1016/j.tibs.2009.02.002. Epub 2009 Apr 9.
In this article I propose the classification of the evolutionary stages that a scientific discipline evolves through and the type of scientists that are the most productive at each stage. I believe that each scientific discipline evolves sequentially through four stages. Scientists at stage one introduce new objects and phenomena as subject matter for a new scientific discipline. To do this they have to introduce a new language adequately describing the subject matter. At stage two, scientists develop a toolbox of methods and techniques for the new discipline. Owing to this advancement in methodology, the spectrum of objects and phenomena that fall into the realm of the new science are further understood at this stage. Most of the specific knowledge is generated at the third stage, at which the highest number of original research publications is generated. The majority of third-stage investigation is based on the initial application of new research methods to objects and/or phenomena. The purpose of the fourth stage is to maintain and pass on scientific knowledge generated during the first three stages. Groundbreaking new discoveries are not made at this stage. However, new ways to present scientific information are generated, and crucial revisions are often made of the role of the discipline within the constantly evolving scientific environment. The very nature of each stage determines the optimal psychological type and modus operandi of the scientist operating within it. Thus, it is not only the talent and devotion of scientists that determines whether they are capable of contributing substantially but, rather, whether they have the 'right type' of talent for the chosen scientific discipline at that time. Understanding the four different evolutionary stages of a scientific discipline might be instrumental for many scientists in optimizing their career path, in addition to being useful in assembling scientific teams, precluding conflicts and maximizing productivity. The proposed model of scientific evolution might also be instrumental for society in organizing and managing the scientific process. No public policy aimed at stimulating the scientific process can be equally beneficial for all four stages. Attempts to apply the same criteria to scientists working on scientific disciplines at different stages of their scientific evolution would be stimulating for one and detrimental for another. In addition, researchers operating at a certain stage of scientific evolution might not possess the mindset adequate to evaluate and stimulate a discipline that is at a different evolutionary stage. This could be the reason for suboptimal implementation of otherwise well-conceived scientific policies.
在本文中,我提出了一门科学学科所经历的进化阶段的分类,以及在每个阶段最具生产力的科学家类型。我认为,每门科学学科都依次经历四个阶段。第一阶段的科学家引入新的对象和现象作为一门新科学学科的主题。为此,他们必须引入一种能够充分描述该主题的新语言。在第二阶段,科学家们为这门新学科开发一套方法和技术的工具箱。由于方法论上的这一进步,在这个阶段,属于新科学领域的对象和现象的范围得到了进一步的理解。大多数具体知识是在第三阶段产生的,在这个阶段产生的原创研究出版物数量最多。第三阶段的大多数研究是基于将新的研究方法初步应用于对象和/或现象。第四阶段的目的是维护和传承在前三个阶段产生的科学知识。在这个阶段不会有开创性的新发现。然而,会产生呈现科学信息的新方式,并且经常会对该学科在不断演变的科学环境中的作用进行关键修订。每个阶段的本质决定了在该阶段工作的科学家的最佳心理类型和工作方式。因此,决定科学家是否能够做出重大贡献的不仅是他们的天赋和奉献精神,更重要的是,他们是否拥有当时所选科学学科的“正确类型”的天赋。理解一门科学学科的四个不同进化阶段,除了有助于组建科学团队、避免冲突和提高生产力外,对许多科学家优化其职业道路可能也有帮助。所提出的科学进化模型对社会组织和管理科学过程可能也有帮助。没有一项旨在促进科学过程的公共政策对所有四个阶段都能同样有益。试图将相同的标准应用于处于科学进化不同阶段的科学学科的科学家,对一个阶段的科学家可能有激励作用,而对另一个阶段的科学家则可能有损害。此外,处于科学进化某一阶段的研究人员可能不具备评估和促进处于不同进化阶段的学科的适当思维模式。这可能是原本构思良好的科学政策实施效果不佳的原因。