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News
October 19, 2026
'Cultural Studies Seeks to Understand What Lies Beneath the Surface of Everyday Things'
Maxim Zhiganov has been exploring different aspects of sound for many years—first in relation to his native Perm and then on a broader, global scale. In this interview for the HSE Young Scientists project, he talks about sound maps, the special issue of the journal Logos, and why it is important to make the familiar less clear and obvious.
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At HSE University–St Petersburg, Experts Discuss How AI Changes Tourist Routes and Cultural Heritage
Neural networks are no longer simple travel assistants; now they decide what to include on the route and what to skip. Artificial intelligence changes how people perceive a place and shapes the image of tourist centres. At the II International Scientific and Practical Conference ’Information Technologies in the Preservation and Promotion of Cultural Heritage,’ researchers discussed who controls algorithmic solutions and in what ways, and whether authentic traditions get lost in them.
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Road Injuries Leading Cause of Death Among Men Aged 10 to 39
Worldwide, road injuries are the leading cause of death among males aged 10–39. An international team of researchers reached this conclusion as part of the Global Burden of Disease Study 2023, analysing data from 204 countries between 1990 and 2023. Their findings have been published in The Lancet Public Health, with HSE University Professor Vasily Vlassov listed among the collaborators.

 

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Quality of Corporate Governance Assessment: A Methodic Approach to a Regional ESG Rating

Journal of Corporate Finance Research. 2025. Vol. 19. No. 4. P. 105–125.
Storchevoy M., Rogova E., Kochetkova D.

The paper aims to develop an approach for assessing the quality of corporate governance in ESG ratings for regional companies in the Northwestern Federal District (NWFD) of Russia. A distinctive feature of these companies is that they, firstly, operate within the regional economy, and secondly, are not always publicly listed entities that come under the scrutiny of federal rating agencies. Based on a literature review and existing methodologies for measuring corporate governance quality in commercial and academic ratings, a set of indicators has been proposed for this assessment. Using the proposed set, a comparative study was conducted on the quality of corporate governance in major federal companies and NWFD companies that are not included in federal ratings. The approach outlined in the paper is implemented in two stages. In the first stage, the rating assessment of corporate governance quality is based on the degree of data disclosure on company websites. In the second stage, artificial intelligence algorithms trained on various publicly available data (company websites, news articles, and reports) are utilized. Despite a small sample size and significant discrepancies identified in some cases between the assessment results in the first and the second stage, a sufficiently high accuracy in predicting corporate governance quality ratings was achieved when training artificial intelligence algorithms. Additionally, by comparing ratings obtained from both stages, insights into the quality of corporate governance in the evaluated companies and directions for its improvement can be gained. The conclusion drawn emphasizes the necessity of employing various tools for an accurate assessment of corporate governance quality.

Research target: Economics and Management
Language: English
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Text on another site
Keywords: корпоративное управлениесовет директоровcorporate governanceboard of directorsESGESG ratingрейтинги ESG
Publication based on the results of:
Economic and mathematical analysis of markets, games, and decision-making (2025)
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