“双一流”建设背景下博士后流动站综合评价研究：基于TOPSIS模型的多层级指标体系与评价方法

Research on comprehensive evaluation of mobile postdoctoral stations under the background of national "Double Tops" construction ：Multilevel index system and evaluation method based on TOPSIS model

摘要:

“双一流” 建设背景下,博士后流动站作为人才培养和管理的主要载体之一,已成为我国培养高层次人才、产出高水平成果的重要平台。然而,在现阶段的博士后流动站管理中,仍缺乏较为完善的评价指标体系,严重制约了博士后人才的高质量培养和博士后制度深入改革和发展。为实现博士后流动站的科学合理评价,充分发挥博士后流动站在培养高水平科技人才中的重要作用,本文构建了博士后流动站的三级评价指标体系；以层次分析法(AHP)和变异系数法(COV)结合的综合赋权法确定指标的综合权重；运用TOPSIS法构建评价模型,结合指标权重确定评价对象得分,并对某高校水利工程博士后流动站2002年至今4个评价期进行案例分析。结果表明：可从基础建设与管理、招收与选拔情况、人才培养效果、成果产出效益方面评价博士后流动站的综合情况,其中博士后退站比例、外籍与港澳台博士后比例、博士后人员工资收入情况、招收人数和科研诚信与学风作风建设情况等指标具有较大的综合权重；案例高校水利工程博士后流动站在4个评价期的综合评分逐步上升,真实反映了不同时期评价对象的相对水平。本文构建评价指标体系与方法能够较为全面地反映博士后流动站的质量水平,且可对不同流动站不同时期的综合情况进行排序,定量比较不同评价对象间的差异。基于综合赋权TOPSIS模型的博士后流动站评价体系流程操作简单,评价结果直观、科学,能有效反映博士后流动站的科研和管理水平,助力博士后流动站高水平建设。

Abstract:

As an essential carrier for postdoctoral personnel training and management, the postdoctoral station has become an important platform for cultivating high-level talents and producing high-level results in China. However, there is still a lack of a complete evaluation index system in the current stage of postdoctoral station management, which seriously restricts the high-quality training of postdoctoral talents and the in-depth reform and development of the postdoctoral system. This paper established a three-level evaluation index system for postdoctoral stations to achieve scientific and reasonable evaluation and to realize the significant role of postdoctoral stations in cultivating high-level scientific and technological talents. Comprehensive weights of indicators were determined by the Analytic Hierarchy Process (AHP) and Coefficient of Variation (COV). The evaluation model was developed using the TOPSIS method, and the score of the evaluation subject was obtained by the index weights. A case study of 4 evaluation periods of a hydraulic engineering postdoctoral mobile station in a university from 2002 is carried out. The results indicate that the postdoctoral research station’s overall performance can be evaluated based on construction and management, recruitment and selection, talent training effectiveness, and output benefits. Especially, the post-doctoral dropout rate, the proportion of foreign and Hong Kong/Macau/Taiwan post-doctoral researchers, the income of post-doctoral personnel, the number of recruits, and the conditions of scientific research integrity and academic style have significant overall weights. The comprehensive evaluation score of the post-doctoral research station in the case has gradually increased over four evaluation periods, which truly reflects the relative level of the evaluated objects during different periods. This article constructs an evaluation index system and method that can comprehensively reflect the quality level of post-doctoral research stations. It can also rank the comprehensive situation of different research stations during different periods and quantitatively compare the differences between different evaluation objects. This comprehensive weighted TOPSIS model provides simple, intuitive, and scientifically sound results, allowing for an accurate reflection of scientific research and management levels, which helps to enable postdoctoral research stations to achieve high-level development.