科研机构智力潜力分析方法

F. F. Yusifov
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引用次数: 0

摘要

在电子人口统计平台上对科技人员的智力潜力进行了评估。研究了人口登记簿编制、人口统计研究的现状,以及利用新信息来源和大数据等相关工作。分析的研究包括对人力资源的评估、国家的智力潜力和科学移民问题。为了确定影响各国智力潜力的因素,对人口和人口经济活动的趋势、教育水平、培训制度及其经费进行了分析。为了根据现有潜力监测和预测科学活动,进行分析和统计分析,建立了一个科学人员统一电子信息系统。本文利用机器学习算法k-means对科研人员注册表数据进行聚类,分析科研人员的智力潜力。根据获得的结果,研究人员研究了年龄组、学位、大学和科学出版物数量的数据。随后的研究将考虑到科学生产力和科学迁移的问题,这在评估国家的智力潜力方面非常重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Approach for Intellectual Potential Analysis of the Scientific Institution
An assessment of the intellectual potential of scientific personnel on the platform of electronic demography was carried out. The current situation in the field of forming population registers, conducting demographic studies, as well as a number of works related to the use of new sources of information and big data have been studied. Analyzed studies cover the assessment of human resources, the intellectual potential of the country and issues of scientific migration. To determine the factors influencing the intellectual potential of countries, an analysis of trends in demography and economic activity of the population, the level of education, the system of training and its financing was made. In order to monitor and predict scientific activity in accordance with the existing potential, to conduct analytical and statistical analysis, a Unified Electronic Information System on Scientific Personnel has been created. The article analyzes the intellectual potential of scientific personnel based on registry data on scientific personnel, which are clustered using the k-means method, which is a machine learning algorithm. Based on the results obtained, data on age groups, academic degrees, universities and the number of scientific publications were studied. Subsequent studies will take into account the issues of scientific productivity and scientific migration, which are of great importance in terms of assessing the country’s intellectual potential.
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