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June 5, 2026
Neural Network Maps as a Method for Constructing Mathematical Models
Scientists from HSE University–Nizhny Novgorod and the Institute of Physics Belgrade, Serbia, are jointly exploring the application of machine learning techniques and neural networks to the study of nonlinear dynamics. Natalya Stankevich, Leading Research Fellow at the Laboratory of Topological Methods in Dynamics of the Faculty of Informatics, Mathematics, and Computer Science at HSE University–Nizhny Novgorod, spoke to the HSE News Service about this international project.
June 5, 2026
‘In the Age of Technology, It Is Interesting to Look into the Past and Think about What We Can Take from It
Polina Tabakova decided to apply for a Philology degree at HSE in Nizhny Novgorod because she grew up in Mari El and did not want to move far away from the Russian forests. In an interview for the Young Scientists of HSE University project, she spoke about the genre of the campus novel, the existential drama of Kolobok, and a blackout version of Eugene Onegin.
June 5, 2026
HSE Scientists Develop Method to Compress Large Language Models Without Losing Quality
Researchers from the AI and Digital Science Institute at the HSE Faculty of Computer Science have developed a new compression method for large language models such as GPT and LLaMA that reduces their size by 25–36% without additional training or significant loss of accuracy. This is the first approach to use mathematical transformations—specifically, rotations of model weights—to make models more amenable to compression with structured matrices. The study results have been published in ACL Findings 2025. The code is available on GitHub.

 

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Стейкхолдер-анализ как инструмент совершенствования стратегического планирования городской среды

Вестник Санкт-Петербургского университета. Серия 8. Менеджмент. 2021. Т. 20. № 3. С. 391–409.
Semenova A., Sanina A., Styrin E. M., Titov E.

Contemporary urban governance increasingly involves the participation of various groups of stakeholders in the strategic planning and development. Coordination of actions of city authorities and stakeholders becomes one of the most important issues of the governmental effectiveness, while the search for interested groups and cooperation with them is a significant direction of both research and governmental activities. In this study, we aim to identify stakeholders in smart city development process and test the effectiveness of the stakeholder-analysis as a tool for improving strategic planning of the urban environment, using the case of Moscow. We demonstrate how using the tools of social network analysis allow to focus strategic documents on stakeholder groups that play an important role in the development of the city, although not an obvious one. In this article, social relations between the main stakeholders of urban environment that influence strategic management is the empirical object. We use centrality measures analysis to identify the main stakeholders that have the strongest and weakest influence on the development of a smart city in Moscow; the existing communities of urban actors were identified using the edge betweenness method. The paper discusses the problems of communication strategizing in large cities, and also concludes that the use of stakeholder analysis in the context of the urban environment can improve the quality of strategy development and implementation.

Research target: Economics and Management Political Science, International Relations, and Public Administration
Language: Russian
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Keywords: стратегическое управлениестратегическое планированиеsocial network analysisurban governancestakeholder analysisгородское управлениесоциально-сетевой анализ strategic managementstrategic planningстейхолдер-анализ
Publication based on the results of:
Digital Transformation of Public Administration: Theories, Approaches, Methods and Technologies (2021)
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