Scientometric Mapping as a Strategic Intelligence Tool for the Governance of Emerging Technologies.

D. Rotolo, Ismael Rafols, M. Hopkins, L. Leydesdorff
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引用次数: 19

Abstract

How can scientometric mapping function as a tool of ’strategic intelligence’ to aid the governance of emerging technologies? The present paper aims to address this question by focusing on a set of recently developed scientometric techniques, namely overlay mapping. We examine the potential these techniques have to inform, in a timely manner, analysts and decision-makers about relevant dynamics of technical emergence. We investigate the capability of overlay mapping in generating informed perspectives about emergence across three spaces: geographical, social, and cognitive. Our analysis relies on three empirical studies of emerging technologies in the biomedical domain: RNA interference (RNAi), Human Papilloma Virus (HPV) testing technologies for cervical cancer, and Thiopurine Methyltransferase (TPMT) genetic testing. The case-studies are analysed and mapped longitudinally by using publication and patent data. Results show the variety of ’intelligence’ inputs overlay mapping can produce for the governance of emerging technologies. Overlay mapping also confers to the investigation of emergence flexibility and granularity in terms of adaptability to different sources of data and selection of the levels of the analysis, respectively. These features make possible the integration and comparison of results from different contexts and cases, thus providing possibilities for a potentially more ’distributed’ strategic intelligence. The generated perspectives allow triangulation of findings, which is important given the complexity featuring in technical emergence and the limitations associated with the use of single scientometric approaches
科学计量映射作为新兴技术治理的战略情报工具。
科学计量测绘如何作为一种“战略情报”工具来帮助治理新兴技术?本文旨在通过关注一组最近发展的科学测量技术,即覆盖映射来解决这个问题。我们研究了这些技术的潜力,以便及时向分析人员和决策者提供有关技术出现的相关动态信息。我们研究了覆盖映射在生成关于三个空间(地理、社会和认知)涌现的知情视角方面的能力。我们的分析依赖于生物医学领域新兴技术的三个实证研究:RNA干扰(RNAi)、宫颈癌的人乳头瘤病毒(HPV)检测技术和硫嘌呤甲基转移酶(TPMT)基因检测。通过使用出版物和专利数据,对案例研究进行纵向分析和映射。结果表明,叠加映射可以为新兴技术的治理产生各种“智能”输入。覆盖映射还分别在对不同数据源的适应性和分析层次的选择方面赋予了出现灵活性和粒度的研究。这些特征使得整合和比较来自不同背景和案例的结果成为可能,从而为潜在的更“分布式”的战略情报提供了可能性。生成的视角允许对发现进行三角测量,考虑到技术出现的复杂性和使用单一科学计量方法的局限性,这一点很重要
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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