Purpose

This study aims to establish a reliable index to identify interdisciplinary breakthrough innovation effectively. We constructed a new index, the D_Div index, for this purpose.

Design/methodology/approach

The D_Div index incorporates the degree of interdisciplinarity in the breakthrough index. To validate the index, a data set combining the publication records and citations of Nobel Prize laureates was divided into experimental and control groups. The validation methods included sensitivity analysis, correlation analysis and effectiveness analysis.

Findings

The sensitivity analysis demonstrated the D_Div index’s ability to differentiate interdisciplinary breakthrough papers from various categories of papers. This index not only retains the strengths of the existing index in identifying breakthrough innovation but also captures interdisciplinary characteristics. The correlation analysis revealed a significant correlation (correlation coefficient = 0.555) between the interdisciplinary attributes of scientific research and the occurrence of breakthrough innovation. The effectiveness analysis showed that the D_Div index reached the highest prediction accuracy of 0.8. Furthermore, the D_Div index outperforms the traditional DI index in terms of accuracy when it comes to identifying interdisciplinary breakthrough innovation.

Originality/value

This study proposed a practical and effective index that combines interdisciplinary and disruptive dimensions for detecting interdisciplinary breakthrough innovation. The identification and measurement of interdisciplinary breakthrough innovation play a crucial role in facilitating the integration of multidisciplinary knowledge, thereby accelerating the scientific breakthrough process.

中文翻译：

---

跨学科突破性创新检测指标的探索与评估

目的

本研究旨在建立一个可靠的指标来有效识别跨学科突破性创新。为此，我们构建了一个新索引，即 D _Div索引。

设计/方法论/途径

D _Div指数将跨学科程度融入到突破性指数中。为了验证该索引，将诺贝尔奖获得者的发表记录和引用相结合的数据集分为实验组和对照组。验证方法包括敏感性分析、相关分析和有效性分析。

发现

敏感性分析证明了 D _Div指数能够将跨学科突破性论文与各类论文区分开来。该指数既保留了现有指数在识别突破性创新方面的优势，又体现了跨学科特征。相关分析显示，科学研究的跨学科属性与突破性创新的发生之间存在显着相关性（相关系数=0.555）。有效性分析表明D _Div指数达到最高预测精度0.8。此外，在识别跨学科突破性创新方面，D _{Div指数在准确性方面优于传统 DI 指数。}

原创性/价值

本研究提出了一个实用有效的指标，结合跨学科和颠覆性维度来检测跨学科突破性创新。跨学科突破性创新的识别和衡量对于促进多学科知识的整合、从而加速科学突破进程起着至关重要的作用。