粤港澳大湾区科技专家项目评审质量的后评价及评价信息共享机制研究
Research on the Post Evaluation and Evaluation Information Sharing Mechanism of Bay Area Experts'Project Review Quality
胡意 1邹倩瑜 1陈丽丽 1王文斌1
作者信息
- 1. 广东省科技创新监测研究中心,广东广州 510033
- 折叠
摘要
为提升项目评审管理水平、保障立项科学性,有必要对项目评审活动进行全面复盘,而针对科技专家项目评审质量的后评价是其中比较容易被忽视的一个关键环节.首先,建立基于专家基本素养、工作态度、专业水平 3 个评价维度的粤港澳大湾区科技专家项目评审质量后评价指标体系;其次,利用BP神经网络算法建立科技专家项目评审质量的后评价模型,并结合真实样本数据初步验证后评估模型精度;最后,借鉴区块链技术理念探索评价结果信息的共享机制,以打破科技专家项目评审质量后评价结果信息共享壁垒,为大湾区营造风清气正的科技创新环境提供一种可行路径.
Abstract
In order to improve the level of project review management and ensure the scientificity of project initiation,it is necessary to conduct a comprehensive review of project review activities.Post evaluation of the quality of project reviews by science and technology experts is a key link that is easily overlooked.This article studies the establishment of a post evaluation index system for the quality of science and technology expert project evaluation in the Guangdong Hong Kong Macao Greater Bay Area based on three evaluation dimensions:expert basic literacy,work attitude,and professional level.At the same time,a post evaluation model for the quality of science and technology expert project evaluation is established based on the BP neural network algorithm.The accuracy of the post evaluation model is preliminarily verified by combining real sample data;In order to break down the information sharing barriers of post evaluation results of technology expert project evaluation quality,we have explored the sharing mechanism of evaluation result information based on the concept of blockchain technology,providing a feasible path for creating a clean and positive technical innovation environment in the Bay Area.
关键词
粤港澳大湾区/科技专家/项目评审质量/后评价模型/共享机制/区块链Key words
Guangdong Hong Kong Macao Greater Bay Area/science and technology experts/project review quality/post evaluation model/sharing mechanism/blockchain引用本文复制引用
基金项目
广东省重点领域研发计划(2020B0101090004)
广东省自然科学基金(2022A1515011089)
出版年
2024
NETL
NSTL
维普
万方数据