新兴搜索机制：测量研究、科学和社会之间的共同进化
Emerging Search Regimes: Measuring Co-evolutions among Research, Science, and Society
摘要：
科学计量学的数据是用来调查经验的出现，在生物技术，基因组学和纳米技术的搜索机制。当三个独立的方差源相互作用时，可能会出现复杂的制度。在我们的模型中，研究人员可以被认为是承载科学系统的节点。研究的地理位置与特定地点的技能、隐性知识和基础设施有关。第二，涌现科学层面是指在期刊上发表的编码知识的正式交流。第三，社会经济动态表明知识生产与社会的关系。虽然生物技术，基因组学和纳米技术都可以快速增长和不同的动态，政权不同的自组织这三个来源的差异。研究人员在现有知识体系的限制范围内作出贡献的机会范围在每个领域都不同。此外，应用情境的相关性也在不同程度上促进了知识的动态性。
英文摘要：
Scientometric data is used to investigate empirically the emergence of search regimes in Biotechnology, Genomics, and Nanotechnology. Complex regimes can emerge when three independent sources of variance interact. In our model, researchers can be considered as the nodes that carry the science system. Research is geographically situated with site-specific skills, tacit knowledge and infrastructures. Second, the emergent science level refers to the formal communication of codified knowledge published in journals. Third, the socio-economic dynamics indicate the ways in which knowledge production relates to society. Although Biotechnology, Genomics, and Nanotechnology can all be characterised by rapid growth and divergent dynamics, the regimes differ in terms of self-organization among these three sources of variance. The scope of opportunities for researchers to contribute within the constraints of the existing body of knowledge are different in each field. Furthermore, the relevance of the context of application contributes to the knowledge dynamics to various degrees.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
