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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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Между культурой и экономикой: факторы, мотивирующие регионы поддерживать креативные индустрии

Экономика региона. 2024. Т. 20. № 4. С. 1041–1057.
Boos V., Shubina V., Kutsenko E.

Due to the lack of a unified approach to supporting creative industries and to the differentiation of initial socioeconomic conditions in Russian regions, different government participation models in the development of creative industries are emerging. Understanding the balance of factors influencing the creative industries is key to more effective goal-setting and support for the creative sector in Russian regions. Using the polynomial logistic regression method, this study defines objective factors that influence the quality of policies in the field of creative industries in the regions of Russia and, using k-means clustering, determines groups of regions with similar profiles of implemented creative policies. As a result, three groups of policies were identified: “organized”, “independent” and “unmanifested”. It was revealed that eight “organized” regions were ahead of other groups in terms of the level of organizational support (by 5 and 7 times), by federal support measures attracted (by 1.5 and 1.8 times), regulatory legal and strategic support (by 4 % and 8 %) and were approximately on the same level as twenty “independent” regions in terms of the scale of regional support measures. “Organized” regions were 1.4 times ahead of “independent” regions in terms of the number of students, and 1.9 times ahead of “unmanifested” regions. In terms of the number of patent applications “organized” regions were 2.2 and 2.5 times ahead, respectively, and in terms of attendance at cultural institutions 22% and 18%. Modelling showed that government authorities’ support for creative industries at the regional level is facilitated by a combination of innovative and cultural development factors.

Research target: Economics and Management Political Science, International Relations, and Public Administration
Language: Russian
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Keywords: региональная политикаинновационный потенциалregional policycreative industriesкреативные индустрииStrategic planningcultural industrieshuman potentialcreative clustersкультурный потенциалкультурный секторкреативные кластерыкреативный сектор
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