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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.
October 14, 2026
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.
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.

 

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Women and men in tech: Invisible barriers, gendered self-perception, and the social reshaping of work

Technology in Society. 2026. Vol. 84. Article 103116.
Elena Rapoport, Volkova N., Barajas A.

The persistent gender wage gap remains a pressing issue with far-reaching societal implications. Despite policy interventions aimed at closing this gap, the psychological and behavioral factors shaping wage expectations have received less attention. Drawing on the theory of statistical discrimination and signaling perspective, this study shifts the focus from employer-side discrimination to the self-perception of jobseekers, examining how gender-based biases contribute to wage disparities and reinforcing broader patterns of economic inequality.

By analyzing a dataset of over 152,000 CVs from a job board in Eastern Europe, we explore how wage expectations are shaped by professional qualifications and internalized biases in self-assessment. Using the Blinder-Oaxaca decomposition method, we disentangle the wage gap into components related to technical skills and self-perception, revealing that women's lower wage expectations stem from their own interpretations of their education and work experience.

While technical competencies, such as programming skills, are often assumed to level the playing field, our findings challenge this notion. In most cases, proficiency in coding does not alter wage expectations, suggesting that skills alone cannot dismantle ingrained gendered perceptions of worth. However, within the IT sector, mastery of programming languages contributes to what can be described as self-imposed wage penalties. This paradox underscores the complex interplay between skill recognition, and the persistent undervaluation of women's labor, ultimately reinforcing broader gendered divisions in the digital economy.

This study highlights the need for deeper structural changes in policy and societal narratives around gender, self-perception, and economic value in the tech labor market.

Research target: Economics and Management
Language: English
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Keywords: economic inequalitydigital skillsцифровые навыкиGendered self-perceptionTech labor marketBlinder-oaxaca decompositionрынок труда ИТ
Publication based on the results of:
Strategic behavior of companies and individuals under conditions of technological transformation in Russia (2025)
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