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News
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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Knowledge Generation in Raw Material Industries

Studies on Russian Economic Development. 2022. Vol. 33. No. 3. P. 257–266.
Krukov V. A., Milyaev D. V., Dushenin D. I., Savel’eva A. D., Skuzovatov M. Y.

Abstract— The article presents a mathematical toolkit for forecasting the development of innovative technologies that can be used for cost-effective development of hard-to-recover hydrocarbon reserves. The proposed approach is a symbiosis of agent-based models, Bayesian networks, learning curves, statistical analysis, and numerical simulation modeling methods. These techniques have not been used as a set in research related to the oil and gas industry ever before. The practical significance of the modeling toolkit is based on the prioritization of measures aimed at innovative growth in the oil and gas sector. To test the approach, calculations are performed for three objects: complex structures of the Predpatomsky trough in eastern Siberia and the Republic of Sakha (Yakutia), deposits of the Pre-Jurassic complex in the south-east of western Siberia, and natural bitumen in the Republic of Tatarstan. The calculations confirm the working hypothesis about the practicability of forming technological clusters for efficient extraction of hard-to-recover hydrocarbons.

Research target: Economics and Management Mathematics
Language: English
DOI
Text on another site
Keywords: bayesian networkeconomic and mathematical modelingInnovation Economics agent-based modeling hard-to-recover reserves
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