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News
May 25, 2026
HSE Scientists Train Neural Network to 'Hear' Faults in Electric Motors
Researchers at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a new method—the Signature-Guided Data Augmentation (SGDA) framework—that achieves 99% accuracy in motor fault detection and 86% accuracy in fault classification. The application of this approach can reduce industrial equipment repair costs, minimise downtime, and improve production safety. The study results have been published in Engineering Applications of Artificial Intelligence.
May 25, 2026
'The Humanities Serve as a Conscience'
Maria Mizernaia studies Soviet literature and the history of book publishing. In this interview for the HSE Young Scientists project, she discusses plans to publish a novel about besieged Leningrad, AI-provoked reflections on what it means to be human, and how novels can help satisfy our dopamine hunger.
May 25, 2026
Is It Possible to Predict a Citys Life Based on the Shape of Its Neighbourhoods?
Is it possible to predict, based on the configuration of streets and buildings, where a café will open or where traffic congestion will occur? Participants in the Spatial Analysis and Modelling of Urban Processes research and study group use open data and machine learning to identify universal patterns. Alexander Sheludkov and Eduard Somov discuss the purpose of comparing cities, the need for new forms of urban statistics, and how open data is transforming approaches to urban studies.

 

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Становление взаимосвязи между инфраструктурным и инновационным развитием регионов

Вестник образования и развития науки Российской академии естественных наук. 2014. № 3. С. 90–94.
Dorofeeva L.
Priority areas: economics
Language: Russian
Full text
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Keywords: региональное развитиеконкурентоспособность регионарегиональная инфраструктура
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The regions of the Russian Federation are characterized by a high degree of variation in their socioeconomic development indicators. Differences in business conditions, the availability of natural resources, and infrastructure account for the uneven distribution of investment across regions. In this regard, it is particularly interesting to examine the factors that enhance a region’s attractiveness ...
Added: April 20, 2026
Неравенство и пространственные эффекты в развитии цифровой экономики российских регионов
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Актуальность исследования обусловлена нарастанием цифрового неравенства между регионами России на фоне стремительного развития технологий. Диспропорции в уровне цифровизации консервируют существующие межрегиональные разрывы и создают риски концентрации инфраструктуры и кадрового потенциала в ограниченном числе субъектов. Цель исследования — выявить и количественно оценить динамику и пространственную структуру цифрового неравенства в регионах России (2011—2023), дифференцируя его на первичный ...
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Covariate-Balanced Weighted Stacked Difference-in-Differences
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This paper proposes Covariate-Balanced Weighted Stacked Difference-in-Differences (CBWSDID), a design-based extension of weighted stacked DID for settings in which untreated trends may be conditionally rather than unconditionally parallel. The estimator separates within-subexperiment design adjustment from across-subexperiment aggregation: matching or weighting improves treated-control comparability within each stacked subexperiment, while the corrective stacked weights of Wing et ...
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This article is devoted to the phenomenon of intrinsic motivation, to understand which two models are proposed. We study how positive/negative intrinsic motivation to work (experienced utility) affects worker's individual labour supply (model I) and the amount of effort they exert (model II). In model I, we use intrinsic motivation to explain the positive/negative slope ...
Added: March 15, 2026
Конкурентоспособность российских регионов: ключевые факторы и проблемы
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Increasing the competitiveness of regions is of strategic importance in the context of the transformation of the Russian economy, the intensification of foreign policy challenges, and the need to ensure the country's economic security. In the context of the degradation of certain territories, growing migration imbalances, and deteriorating living standards in peripheral areas, effective spatial ...
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In this paper, we develop a formal mathematical model aimed to explain the Dunning-Kruger effect that beginners systematically overestimate their own competence in various fields of knowledge and activity. We argue that the Dunning-Kruger effect arises from the emotional nature of confidence combined with unknown unknowns that it simply can not take into account due ...
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This paper attempts to model the evolutionary theory of modernization and democratization. The model reflects the key provisions of R. Inglehart and C. Welzel's theory and provides a microfoundation for the adaptation of subjective values to the objective importances of the survival factors and the structure of the labour markets from the perspective of evolutionary ...
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Inaction Inertia in Economic Decision Making: The Role of Reference Points
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The study explores a psychological phenomenon of inaction inertia-avoiding action after missing a more favourable opportunity. Unlike action inertia (e.g.,sunk costs effect), inaction inertia has been less studied, particularly in economic contexts. Considering the reference dependent nature of the phenomenon, I build on the work of Kőszegi and Rabin (2006) to examine how past experiences ...
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Tax Audit Expectation Updating: Direct and Indirect Effects of an Audit
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Added: January 21, 2026
Momentum Factor or Factor Momentum in REITs Market?
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Innovation has long been at the center of debates in economics, management, and organizational studies. However, innovation is never free of uncertainty and risk. Every act of innovation implies a departure from established paths and a willingness to embrace the unknown. From the beginning it's never clear if there is an audience which appreciates the ...
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Relevance. The global imperative for adopting a low-carbon economy resonates worldwide, yet comprehensive assessments specific to the Russian economy remain scant. This is especially important considering the significant differences in the level of transition to sustainable development among Russian regions. Research Objective. This study aims to introduce a robust methodology for evaluating and analyzing the international trade of low-carbon goods ...
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