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August 13, 2026
‘Working with AI Solves a Wide Range of Engineering Problems
Artificial intelligence is a working tool based on a balanced combination of algorithms and engineering. Experts and doctoral students from the HSE Moscow Institute of Electronics and Mathematics explain how AI technologies can improve an application, device, or system, and what engineering tasks are solved in the process.
August 12, 2026
‘I Would Like My Research to Help Make the World a Calmer and Better Place
Whatever task Saraa Ali, Junior Research Fellow at the Laboratory of Methods for Big Data Analysis (LAMBDA) of the AI and Digital Science Institute (HSE Faculty of Computer Science), is working on, she thinks about how it can benefit people. She told the Young Scientists of HSE University project about her large family, diagnosing three-phase motors, and her dream of building a children’s home in her native country.
August 11, 2026
‘The Peak of Stupidity and ‘The Valley of Despair: HSE Economists Propose an Explanation for the Dunning–Kruger Effect
The Dunning–Kruger effect, which describes a sharp surge in self-confidence among beginners followed by an equally rapid decline as they gain experience, can be explained by the nature of the learning process and the acquisition of new knowledge. This conclusion was reached by Andrey Vorchik of the HSE Faculty of Economic Sciences together with independent researcher Murat Mamyshev. They developed a mathematical model of learning and demonstrated how subjective confidence is formed and changes as knowledge accumulates, as well as how teachers can reduce the ‘valley of despair’ experienced by learners.

 

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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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