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News
September 11, 2026
How to Assess Students Knowledge in the Age of AI
A researcher at HSE University has proposed a flowchart to help lecturers decide how to assess students who use artificial intelligence. It shows where the use of AI should be restricted and where it can be incorporated into the learning process. The article has been published in IT Professional.
September 9, 2026
‘Balkan Hospitality Opens Doors: Studying Dialects on the Verge of Extinction
You cannot study spoken dialects from books. Instead, you need to go to a village, seek out its elders, and earn the trust of local residents before you can record hours of spontaneous stories. This is how Natalia Muravleva, Associate Professor at the Faculty of Humanities, conducts her research. Her internship in Serbia continued her long-standing study of dialects spoken by Macedonian settlers. In this interview, she discusses how diaspora cultural centres help researchers reach informants, why native speakers need to be interviewed only in their own language (otherwise, as she puts it, they may 'break'), and how a single field season helped her finalise her monograph. She also shares warm memories of autumn in Belgrade and of colleagues with whom grammar can be discussed in three languages at once.
September 9, 2026
Scientists Train Neural Network to Generate Process Plans from 3D Models
Researchers at the HSE FCS AI and Digital Science Institute have developed CAD2TechSpec, a framework that converts 3D models of mechanical parts into machining process plans—step-by-step instructions for machine tools. The solution aims to reduce the time required for the design and preparation of technical process documentation in mechanical engineering, aircraft manufacturing, and other high-tech industries. The study findings have been published in PeerJ Computer Science.

 

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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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