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August 13, 2026
‘Working with AI Solves a Wide Range of Engineering Problems
Artificial intelligence is a working tool based on a balanced combination of algorithms and engineering. Experts and doctoral students from the HSE Moscow Institute of Electronics and Mathematics explain how AI technologies can improve an application, device, or system, and what engineering tasks are solved in the process.
August 12, 2026
‘I Would Like My Research to Help Make the World a Calmer and Better Place
Whatever task Saraa Ali, Junior Research Fellow at the Laboratory of Methods for Big Data Analysis (LAMBDA) of the AI and Digital Science Institute (HSE Faculty of Computer Science), is working on, she thinks about how it can benefit people. She told the Young Scientists of HSE University project about her large family, diagnosing three-phase motors, and her dream of building a children’s home in her native country.
August 11, 2026
‘The Peak of Stupidity and ‘The Valley of Despair: HSE Economists Propose an Explanation for the Dunning–Kruger Effect
The Dunning–Kruger effect, which describes a sharp surge in self-confidence among beginners followed by an equally rapid decline as they gain experience, can be explained by the nature of the learning process and the acquisition of new knowledge. This conclusion was reached by Andrey Vorchik of the HSE Faculty of Economic Sciences together with independent researcher Murat Mamyshev. They developed a mathematical model of learning and demonstrated how subjective confidence is formed and changes as knowledge accumulates, as well as how teachers can reduce the ‘valley of despair’ experienced by learners.

 

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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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