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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.
October 5, 2026
‘The Climate Transition Is Not Necessarily a Limitation for Business
Linara Khadimullina works in the field of low-carbon development. In an interview with the Young Scientists of HSE project, she spoke about why nature is not just a beautiful backdrop, her research on the role of sustainable corporate governance in reducing greenhouse gas emissions, and growing plants as a source of inspiration.

 

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Система научно-технологического прогнозирования и стратегического планирования в лесном комплексе Российской Федерации

Труды Санкт-Петербургского научно-исследовательского института лесного хозяйства. 2020. № 1. С. 54–73.
Kuzminov I., Lobanova P., Loginova I., Bakhtin P. D.

This paper contains the analysis of problems that complicate the effective strategic development of the forest complex of the Russian Federation, including deviations in forest management of the Russian Federation from the best world practices. Based on the data from a comparative analysis of Russian and international strategic documents, it has been found that, unlike the international, the Russian strategic planning agenda in the industry is more short-term in nature and mainly focuses on targeted tools to overcome current, forest problems often of a private nature. This conclusion has been made on the basis of the analysis of the Strategy for the development of the Russian forest complex till 2020 and the Strategy for the development of the Russian forest complex till 2030. Based on a comprehensive analysis of the management situation in Based on a comprehensive analysis of the management situation in the industry, the authors conclude that one of the major problems of the forest complex as an object of strategic planning is the lack of a request for long-term sustainable development, the adaptive transformation adoption based on the current response, leading to a narrowed reproduction of production and technological potential. As a solution to this problem, the authors propose the introduction of a system of monitoring and forecasting the scientific and technological development of the industry in the state administration of forestry. At the same time, the authors are of the opinion that the use of big data analysis in the framework of monitoring and forecasting will improve the quality of strategic planning. The results presented in this paper are important for forecasting the parameters of the scientific and technological development of the forest complex at the global and national levels and can be used as a practical tool for substantiating comprehensive planning strategies in the forest complex in the long run.

Research target: Agriculture, Forestry, and Fisheries
Priority areas: economics management IT and mathematics
Language: Russian
DOI
Text on another site
Keywords: стратегическое планированиеsustainable forest managementлесной комплексscience and technology forecastingforest complexstrategic planningустойчивое лесоуправлениенаучно-технологическое прогнозирование
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