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October 12, 2026
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.
October 8, 2026
HSE Experts Take Part in 23rd Annual Meeting of Valdai Discussion Club
The 23rd Annual Meeting of the Valdai Discussion Club was held from September 28 to October 1, 2026 under the theme ‘Responsibility for the Future: Limits of the Possible, or Limitless Possibilities?’ The forum brought together 120 experts from 40 countries, including representatives of China, the United States, India, Brazil, the United Kingdom, Germany, Egypt, Iran, and Japan.
October 7, 2026
‘Our Team Consists of True Leaders in Their Respective Academic Disciplines
The HSE International Centre of Decision Choice and Analysis studies a wide range of methods for analysing decision-making and possible scenarios for the development of natural, socio-economic, and political phenomena using various mathematical models. The application of advanced mathematical methods to forecasting helps to prevent negative outcomes and avoid erroneous decisions. The HSE News Service spoke to the centre’s director, Prof. Fuad Aleskerov, about its work.

 

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Анализ культурных референций в творчестве А. Вознесенского: цифровое исследование имен персоналий

Цифровые гуманитарные исследования. 2026. № 1. С. 4–26.
Tyuryakova-Matveeva D.

The article explores cultural references in the works of Andrei Voznesensky by analyzing the personalities he mentions. A total of 1,678 works were processed, including poetry, prose, and early unpublished poems. NER methods based on Natasha, spaCy, and LLM Grok tools made it possible to study the frequency of mentions of famous people and their connection to the genre of the work. Voznesensky's key authors (Pasternak, Pushkin, Mayakovsky) were identified, and genre features were revealed (the predominance of politicians in prose and classical poets in verse). A network analysis of the poet's environment was conducted. The patterns identified show the dynamics of changes in the author's interests and his social environment over the decades. The novelty of the study lies in the use of digital methods to study the names of personalities in A. Voznesensky's work on the scale of his entire body of work. This is the first time such a detailed quantitative analysis has been conducted, allowing not only to systematize known facts, but also to identify non-obvious patterns that are inaccessible to traditional analysis, thereby deepening the understanding of the author's creative personality.

Research target: Philology and Linguistics
Language: Russian
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DOI
Text on another site
Keywords: сетевой анализанализ текстаtext analysisnetwork analysisименованные сущностиLLMdigital humanities projectsцифровые гуманитарные проектыАндрей Андреевич ВознесенскийLLMNamed Entity Recognition (NER)cultural referencesAndrey Voznesenskyкультурные референции
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