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News
May 22, 2026
HSE Graduates AI Project Wins at TECH & AI Awards
Daria Davydova, graduate of the HSE Graduate School of Business and Head of the AI Implementation Unit at the Artificial Intelligence Department of Alfa-Bank, received a prize at the TECH & AI Awards. She was awarded for the best AI solution for optimising business processes. The winners were determined as part of the VII Russian Summit and Awards on Digital Transformation (CDO/CDTO Summit & Awards).
May 20, 2026
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HSE University-St Petersburg opened a representative office of the Satellite Laboratory on Social Entrepreneurship at the University of Campinas in Brazil. The platform is going to unite research and educational projects in the spheres of sustainable development, communications and social innovations.
May 18, 2026
The 'Second Shift' Is Not Why Women Avoid News
Women are more likely than men to avoid political and economic news, but the reasons for this behaviour are linked less to structural inequality or family-related stress than to personal attitudes and the emotional perception of news content. This conclusion was reached by HSE researchers after analysing data from a large-scale survey of more than 10,000 residents across 61 regions of Russia. The study findings have been published in Woman in Russian Society.

 

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A Hierarchical (Multicomponent) Model of In-Group Identification: Examining in Russian Samples

The Spanish Journal of Psychology. 2015. Vol. 18. No. e32. P. 1–12.
Lovakov A., Agadullina E., Osin E. N.

The aim of this study was to examine the validity and reliability of the Leach et al. (2008) model of in-group identification in two studies using Russian samples (overall N = 621). In Study 1, a series of multi-group confirmatory factor analysis revealed that the hierarchical model of in-group identification, which included two second-order factors, self-definition (individual self-stereotyping, and in-group homogeneity) and self-investment (satisfaction, solidarity, and centrality), fitted the data well for all four group identities (ethnic, religious, university, and gender) (CFI > .93, TLI > .92, RMSEA < .06, SRMR < .06) and demonstrated better fit, compare to the alternative models. In Study 2, we examined the construct validity and reliability of the Russian version of the in-group identification measure. Results show that these measure have adequate psychometric properties. In short, our results show that the Leach et al. model is reproduced in Russian culture. The Russian version of this measure can be recommended for use in future in-group research in Russian-language samples.

Research target: Psychology Sociology (including Demography and Anthropology
Priority areas: sociology
Language: English
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Keywords: идентичностьсоциальная идентичностьidentityгруппаингрупповая идентификацияsocial identitygroupin-group identificationself-stereotypingсамостереотипизация
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