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News
June 2, 2026
HSE Study Reveals Imbalance in the Generative AI Market
Researchers at HSE University analysed how effectively the global generative artificial intelligence market converts investment into real revenue, concluding that AI is currently developing faster than it is paying off. The results have been published in the journal Foresight and STI Governance.
June 2, 2026
Discovering Science through Russian Language: HSE Prep Year Students Present at International Conference in Kazan
On May 23, 2026, the V International Scientific and Practical Conference ‘Discovering the World of Science’ took place in Kazan at the Preparatory Faculty for International Students of Kazan Federal University. Four students of the HSE International Preparatory Year took part in the event: two delivered their presentations in person, while two participated online. Their work was supervised by Acting Director of the International Prep Year Irina Isaeva and lecturer Ekaterina Kozhemyakova.
May 25, 2026
HSE Scientists Train Neural Network to 'Hear' Faults in Electric Motors
Researchers at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a new method—the Signature-Guided Data Augmentation (SGDA) framework—that achieves 99% accuracy in motor fault detection and 86% accuracy in fault classification. The application of this approach can reduce industrial equipment repair costs, minimise downtime, and improve production safety. The study results have been published in Engineering Applications of Artificial Intelligence.

 

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Ловушки дифференциации в финансировании российских вузов

Актуальные проблемы экономики и права. 2016. Т. 10. № 2. С. 38–58.
Abankina I., Abankina T., Filatova L.

Objective: to identify the causes and consequences of the increasing stratification of higher educational institutions by the volumes and sources of financing, as well as by the areas of training. Methods: during the research we used methods of statistical and economic analysis of the results of the universities’ activities. Using econometric models, the relationships were estimated of the resource base of higher education, industrial and economic potential of Russian regions; an empirical analysis of factors influencing the increasing public demand for higher education was conducted. Results: the trends of structural changes in the demand for higher education in Russia during the period from 2001 to 2014 were described, the regional differentiation of financial provision of higher educational institutions in the transition to effective contract work was evaluated. The major risks were identified, associated with: the structural mismatch of the demand for higher education from families and the offer of admission quotas for the budget-funded education; with increasing regional differentiation, which provokes the separation of the Russian universities by the volumes and sources of financial provision; with high commitments to increase the salaries of the teaching staff leading to a shortage of funds for maintenance of the property complex and ensuring of the educational process, which jeopardizes the quality of educational programs’ implementation. Scientific novelty: basing on the empirical analysis using econometric models, the tendencies are identified of structural changes in the demand for higher education in the Russian regions; the impact is assessed of the economic crisis and the payable demand of families on the financial provision of universities; risks are identified and justified in the differentiation of Russian universities’ financing. Practical significance: the main provisions and conclusions of the article can be used by experts in the field of Economics and Management in designing financial provision and development strategies of higher educational organizations.

Research target: Education
Priority areas: economics state and public administration
Language: Russian
Full text
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Keywords: численность студентовнаправления подготовкиконтрольные цифры приемаспрос на высшее образованиеплатное обучениеэкономика и управление народным хозяйствомисточники доходов вузовзаработная плата профессорско-преподавательского состава
Publication based on the results of:
Exploring the factors that influence the creation of value added in higher education in the context of transformations in the education economics (2014)
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