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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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Анализ воздействия ESG-инициатив на благосостояние акционеров российских компаний

Journal of Applied Economic Research. 2025. Т. 24. № 1. С. 319–343.
Haniev A., Suhih V.

This study examines the impact of ESG indicators on the financial well-being of shareholders in Russian companies. Using data from publicly traded non-financial companies in Russia for the period 2018–2023, the analysis focuses on the overall ESG rating and its components – environmental (E), social (S), and governance (G) – in the context of their influence on Return on Equity (ROE) and stock returns. The research hypotheses suggest that each indicator exerts a positive impact. Two regression analysis methods were applied: the traditional Ordinary Least Squares (OLS) method and LASSO regression. The latter accounts for the influence of correlated factors. The results revealed that the social component (S Rank) has a positive impact on Return on Equity (ROE). This underscores the importance of social initiatives in enhancing corporate performance by strengthening the company’s reputation and increasing employee motivation. At the same time, the environmental (E Rank) and governance (G Rank) components demonstrate a negative impact on stock returns. This effect can be attributed to significant costs associated with implementing environmental programs and the focus of governance decisions on long-term sustainability, which reduces their appeal to investors seeking short-term profits. The overall ESG rating did not show a statistically significant impact on either ROE or stock returns, highlighting the importance of a differentiated approach to analyzing the influence of ESG indicators on a company’s financial performance. For companies aiming for sustainable development, it is essential to consider both the potential benefits and risks associated with each ESG aspect to strike a balance between financial performance and corporate responsibility. The theoretical contribution of this study lies in providing new empirical data on the relationship between ESG indicators and key financial metrics, deepening the understanding of the role of environmental, social, and governance factors in shaping operational and market performance. The practical significance of the study is that its findings can be used by managers and investors to make more balanced and informed decisions.

Research target: Economics and Management
Language: Russian
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DOI
Text on another site
Keywords: рентабельность собственного капиталадоходность акцийROE Stock returnsESGESGLASSOLASSO
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