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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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Развитие образовательной робототехники и непрерывного IT-образования

M. : -, 2017.
Stupin R., Kritsyn A., Ступина И. Е., Кальченко Е. А., Сахаров С. К.
Under the general editorship: Stupin R.
Research target: Education Economics and Management Computer Science Mathematics
Priority areas: management state and public administration
Language: Russian
Text on another site
Keywords: менеджмент инновацийробототехникаinnovative managementroboticsмаркетинг образованияцифровой университет
Развитие образовательной робототехники и непрерывного IT-образования
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The matrix profile (MP) quickly became one of the most important time series preprocessing methods when it was introduced in 2016, facilitating the solution of a wide range of time series analysis problems, in particular anomaly and pattern detection problems. The high significance has led to the emergence of various tools for MP calculating, but ...
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Теория вероятностей и математическая статистика. Олимпиадные задачи.
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The Collection of Olympiad Problems (COP) in Probability Theory and Mathematical Statistics (PTMS) is offered as a teaching aid primarily for university students and faculty as a developmental supplementary resource, expanding the range of problems to be solved in lectures, seminars, and out-of-class independent work with students in various formats, including (as the title suggests) ...
Added: October 9, 2026
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Distressed firms and loan guarantee programmes during the COVID-19 crisis
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To mitigate the shocks caused by the pandemic-related restrictions, many governments implemented extensive support measures for companies facing sharp declines in revenues. In Russia, loan guarantee programmes allowed many firms to apply for loans during the pandemic. As a result, the number of small loans soared. Participation in the loan guarantee programmes helped firms in ...
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Linear dependencies, polynomial factors in the Duke–Erdős forbidden sunflower problem
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Effects of Elevation Changes and Multilevel Structures on Vehicular Signal Propagation
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The expansion of digital platforms and ecosystems is reshaping consumption and the structure of modern markets. In the Russian context, a representative survey conducted by the authors indicates frequent online purchasing driven primarily by time savings, broader assortment and price accessibility. Platforms thus generate consumer benefits, including non-monetary gains that are not fully captured by ...
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Generative AI and the balance of effort in group tasks: Appropriate, over-, and under-scaffolding
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Generative artificial intelligence (Gen-AI) is increasingly used in higher education, yet its role in collaborative learning remains unclear. This study examines how students use Gen-AI during group lesson-planning tasks in an undergraduate education course. Drawing on Vygotsky’s sociocultural theory, we introduce the concept of “an effort space” and apply the categories of appropriate, over-, and ...
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Modulational Instability and Wave Dynamics in the Rotated Modified Gardner–Whitham Equation
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Automated Ranking of Soybean Plots from Close-Range RGB Video via Depth Filtering and Point-Based Counting
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The study focuses on the cognitive mechanisms associated with teachers’ work with new, conceptually complex material, both when they are experts in philological analysis and when they design the acquisition of subject matter. The scientific novelty of the article lies in its interdisciplinary approach, which allows for an explanation of the interaction between “threshold” subject ...
Added: October 7, 2026
Decision support system for improving the quality of life of the population
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Under conditions of dynamic socio-economic changes, effective planning and decision-making are key factors in ensuring a high quality of life for the population in territories. This paper presents a decision support system for territorial administrations for the development and implementation of sustainable development strategies, using one of the regions of the Russian Federation – the ...
Added: October 7, 2026
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Кузнецов М. Е., Полякова М., Лукьянович В. et al., ФАНУ "Востокгосплан", 2026.
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This essay explores the complex issue of determining the appropriate level of risk when implementing innovations within organizations. While innovation is widely recognized as a cornerstone of competitiveness, growth, and sustainability, excessive or poorly managed risk can lead to significant challenges. The discussion highlights key factors influencing acceptable risk levels, including alignment with corporate goals, ...
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Added: August 7, 2026
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Added: August 7, 2026
Assessing the impact of economic sanctions on the socio-economic development of a sanctioned country -testing a new research approach using the data on the socio-economic development of Russia in 2022-2025
Gurkov I. B., Kossov V. V., Filinov N. et al., / NRU Higher School of Economics. Series MAN "Management". 2026. No. N/A.
This research note is devoted to assessing the socioeconomic impact of sanctions of sanctioned countries and uses the data on Russia in 2022-2024. We use for the analysis four fundamental socioeconomic parameters-the expected length of life of males at birth, the misery index (Okun's index), the level of Gross Domestic Product at purchasing parity prices, ...
Added: June 11, 2026
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Rapid development of surveillance technologies is one of the most socially important consequences of the digital age. This paper investigates the factors determining consent to surveillance of various types  of  personal  data and contributes  to  rapidly  growing  research  on  citizens  perceptions  of surveillance practices. Relying on a comprehensive survey experiment, we study the effects of ...
Added: May 15, 2026
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Computer simulations are growing in popularity in robotics research due to their near-zero cost of error and lower labor intensity. One of necessary components of a simulation, in addition to a robot model, is a model of a world in which the robot operates. While it is always possible to construct a world model manually, ...
Added: March 17, 2026
Modeling Sunlight in Gazebo for Vision-Based Applications Under Varying Light Conditions
Sultanov R., Safin R., Martinez-Garcia E. et al., , in: Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics - (Volume 1) ICINCO 2024.: SciTePress, 2024. P. 519–526.
Vision is one of the well-researched sensing abilities of robots. However, applying vision-based algorithms can be challenging when used in different environmental conditions. One such challenge in vision-based localization is dynamic lighting conditions. In this paper, we present a new Gazebo plugin that enables realistic illumination changes depending on a current Sun's position. A plugin's ...
Added: March 17, 2026
Object Localization Based on a Single RGB Camera for a 4-DOF Robotic Arm
Chebotareva E., Mukhamedshin A., Imamov N. et al., , in: 2025 11th International Conference on Automation, Robotics, and Applications (ICARA), 12-14 Feb. 2025.: IEEE, 2025. Ch. 2025 P. 252–256.
Added: March 17, 2026
Multi-Criteria Approach to Path Planning for Unmanned Tractors Considering Energy Constraints and Soil Compaction
Faizullin R., Imamov N., Tsoy T. et al., , in: 10th International Conference, ICR 2025, Hanoi, Vietnam, November 10–13, 2025, Proceedings, Part II. Interactive Collaborative Robotics. (LNCS, volume 16304).: Springer, 2026. P. 385–398.
Autonomous agricultural vehicles operating under the Controlled Traffic Farming (CTF) paradigm face complex routing challenges when minimizing soil compaction, total mission time, and station placement under battery constraints. This paper introduces Multi-Objective Coordinated Autonomous Routing and Placement with Fixed Lanes (MO-CARP-FL), a novel multi-objective evolutionary algorithm designed to optimize the coordinated routing of homogeneous autonomous ...
Added: March 17, 2026
U-Net-based waterline segmentation for flood disaster response
Myzina A., Safin R., Tsoy T. et al., , in: Proceedings Volume 14073, Fifth International Conference on Artificial Intelligence, Automation, and Algorithms (AI2A 2025).: [б.и.], 2026.
Floods are among the most destructive natural disasters, causing human casualties and severe economic damage. Effective monitoring of flooded areas requires automated systems capable of real-time perception and decision-making. This paper proposes a water surface segmentation model based on the U-Net architecture, trained entirely on synthetic data generated in the Gazebo simulator with variations in ...
Added: March 17, 2026
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