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Subject
News
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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Цифровая трансформация государства и социально-­экономическое неравенство в кросс-­национальной перспективе

Журнал исследований социальной политики. 2024. Т. 22. № 2. С. 195–208.
Kabanov Y., Sanina A., Styrin E. M.

The interaction between ICTs and inequality is a growing multidisciplinary area of research. The introduction of new technologies, particularly in the public sector, is often accompanied by the discourse regarding their positive socio-­economic effects, but the empirical evidence from studies to date is less clear. Studies have found both positive and negative effects of digital transformation on socio-­economic inequality, often mediated by other variables such as institutional quality. This paper contributes to this field of research by providing a cross-­national empirical analysis of how e-government and e-participation technologies affect inequalities in the provision of basic public services along three dimensions (income, social group, gender). The study is based on the data collected by the UN and the Varieties of Democracy project, covering the period from 2008 to 2022 and 171 countries, using correlation and regression analysis. The paper reveals that indicators of digital transformation significantly and positively correlate with dimensions of socio-­economic equality in access to public services: inequality is lower in countries with a high level of online services and e-participation development. At the same time, the panel data analysis with fixed effects does not provide convincing evidence of a causal mechanism behind this correlation. The development of e-government and e-participation technologies has a statistically significant effect on reducing inequality in access to services related to income, but is not significant for other dimensions of inequality (social group, gender), when controlling for time, country, and institutional effects. The findings may indicate both a lack of data and the insufficient impact of ICTs on social development. Expanding the temporal and geographical scope of the study, using alternative measures of variables and other methods of analysis (including case studies) are important further steps in exploring this issue.

Research target: Political Science, International Relations, and Public Administration
Language: Russian
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DOI
Text on another site
Keywords: электронное правительствоИКТнеравенствоэлектронное участиеe-Participationцифровая трансформацияICTs e-governmentdigital transformation inequality
Publication based on the results of:
Human-centered digital public administration: definition and development of a methodology for analysis (2024)
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