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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
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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.
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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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Multi-level conceptual model of efficiency control in supply chain management

IFAC-PapersOnLine. 2023. Vol. 56. No. 2. P. 1809–1814.
Strimovskaya A., Barykin S., Volkova E., Tsyplakova E., Sinko G., Kuzmenkova V., Krasilnikov A.

Modern tendencies of rapid economic growth, demand-driven market, highly uncertain economic environment with various disruption sources simultaneously with targets for sustainable development explains the increased interest to advanced solutions in supply chain management. The research paper presents a multi-level efficiency control model presenting analytical sequences and integral method of factor analysis for logistics performance indicators planning, controlling and analyzing. The numerical example has demonstrated that the proposed approach works for real economic processes and provides agile options of efficiency control. The designed approach assumes customization for a particular company’ requirements and provides at least 59 options of analytical models sets. This allows claiming the new approach toward decision support enhancement in supply chains. 

Research target: Economics and Management
Language: English
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Keywords: integral method of analysis supply chain managementanalytical modelsdecision support control in logisticsefficiency performance
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