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News
October 8, 2026
HSE Experts Take Part in 23rd Annual Meeting of Valdai Discussion Club
The 23rd Annual Meeting of the Valdai Discussion Club was held from September 28 to October 1, 2026 under the theme ‘Responsibility for the Future: Limits of the Possible, or Limitless Possibilities?’ The forum brought together 120 experts from 40 countries, including representatives of China, the United States, India, Brazil, the United Kingdom, Germany, Egypt, Iran, and Japan.
October 7, 2026
‘Our Team Consists of True Leaders in Their Respective Academic Disciplines
The HSE International Centre of Decision Choice and Analysis studies a wide range of methods for analysing decision-making and possible scenarios for the development of natural, socio-economic, and political phenomena using various mathematical models. The application of advanced mathematical methods to forecasting helps to prevent negative outcomes and avoid erroneous decisions. The HSE News Service spoke to the centre’s director, Prof. Fuad Aleskerov, about its work.
October 6, 2026
International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod Brings Together Scientists from Russia and Serbia
The International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod’ was held at the Nizhny Novgorod House of Scientists from September 23 to 26. The event was organised by HSE University–Nizhny Novgorod and the Nizhny Novgorod House of Scientists, with the participation of Sberbank and the Institute of Physics Belgrade. The symposium was held for the second time: the first conference took place in 2025 and attracted considerable interest from the academic community.

 

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Реструктуризация системы высшего образования: оценка результатов объединений вузов

Университетское управление: практика и анализ. 2016. № 6. С. 135–145.
Zinkovsky K., Derkachev P.

The main focus of the article is the question if mergers, takeovers, and organizational restructuring lead to increased university efficacy. The task of defining efficacy with several “input” and “output” performance indicators nowadays is easily solved by a data envelope analysis (DEA). Two models for evaluating educational and academic efficacy of a university. Calculations use DEA model oriented towards input (Input Orientated) with constant return to scale (Constant Returns to Scale, CRS). In order to conduct comparative analysis of groups of universities undergoing restructuring process of different magnitude the authors suggest several university classifications: according to the number of merged and/or liquidated units; restructuring completion period; restructuring mechanism type; including mid level professional education into the university under evaluation. In order to test the suggested hypotheses the authors used non parametric statistic methods of average comparison. The pool for this research covered 132 universities with the Russian Federation Ministry of Education and Science as a founder. The research has not identified decreased efficacy of universities as a result of restructuring process. It has turned out that universities actively participating in restructuring processes have become more effective in comparison with other universities. The research has not observed the effect of temporary decrease and following growth of efficacy at organizations undergoing mergers or takeovers. The research has not supported the hypothesis of decreasing university efficacy as a result of taking over mid level professional education institution. The results of the research clearly indicate the lag in efficacy as compared to the leading competitors where 2010 is a reference year. The authors understand that testing whether suggested hypotheses are true or false and require more detailed research of the university as compared to 2010. As many countries have accumulated sufficient experience of higher education restructuring the results of research into Russian universities restructuring making a comparison of the efficacy of the leading competitors according to numbers in 2010. The authors understand that it will take time to see if their suggestion are true or false. As foreign higher education restructuring materials can be easily downloaded. The results of the research of Russian Federation universities restructuring allow for provide conclusions, using accumulated theoretical concepts for explaining and predicting possible consequences of using different restricting mechanisms. The article uses academically acknowledged envelope data analysis method. This method is for the first time used to compare university efficacy in dynamics.

Research target: Economics and Management Education
Priority areas: economics management state and public administration humanitarian
Language: Russian
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Keywords: экономика образованияуправление образованиемeducation managementоболочечный анализ данныхРеструктуризация высшего образования в современной Россиимониторинг эффективности вузовdata envelope analysisприсоединение вузовликвидация филиалов restructuring higher education systemuniversity mergersuniversity efficacy monitoringremote branches liquidation
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