dtЦифровая трансформацияDigital Transformation2522-96132524-2822Educational Establishment “Belarusian State University of Informatics and Radioelectronics”10.35596/1729-7648-2023-29-3-43-53dt-778Research ArticleТЕХНИЧЕСКИЕ НАУКИTECHNICAL SCIENCESРеестровый подход для анализа интеллектуального потенциала научного учрежденияApproach for Intellectual Potential Analysis of the Scientific InstitutionЮсифовФ. Ф.YusifovF. F.

Юсифов Ф. Ф. - к. т. н., доцент, заведующий отделом образования, главный научный сотрудник

 г. Баку

+994 12 510-12-60 

Yusifov Farhad Firudin - Cand. of Sci., Associate Professor, Head of Education Department, Principal Researcher

AZ1141, Baku, B. Vahabzadeh St., 9aTel.: +994 12 510-12-60

farhadyusifov@gmail.comИнститут информационных технологийInstitute of Information Technology2023240920232934353Copyright © Юсифов Ф.Ф., 20232023Юсифов Ф.Ф.Yusifov F.F.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://dt.bsuir.by/jour/article/view/778

Выполнена оценка интеллектуального потенциала научных кадров на платформе электрон[1]ной демографии. Изучена современная ситуация в сфере формирования регистров населения, проведения демографических исследований, а также ряда работ, связанных с использованием новых источников информации и больших данных. Проанализированы исследования, охватывающие оценку человеческих ресурсов, интеллектуального потенциала страны, вопросы научной миграции. Для определения факторов, влияющих на интеллектуальный потенциал стран, выполнен анализ тенденции демографии и экономической активности населения, уровня образования, системы подготовки кадров и ее финансирования. В целях мониторинга и прогнозирования научной деятельности в соответствии с имеющимся потенциалом, про[1]ведения аналитического и статистического анализа создана Единая электронная информационная система о научных кадрах. В статье проведен анализ интеллектуального потенциала научных кадров на основе данных реестра о научных кадрах, которые кластеризованы с использованием метода k-средних, представляющего собой алгоритм машинного обучения. На основании полученных результатов исследованы данные по возрастным группам, ученым степеням, вузам и количеству научных публикаций. В последующих исследованиях будут учтены вопросы научной продуктивности и научной миграции, имеющие большое значение с точки зрения оценки интеллектуального потенциала страны.

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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The authors declare that there are no conflicts of interest present.