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News
July 20, 2026
Scientists Create Open Dataset for Studying Concentration
A team of Russian researchers, including scientists from HSE University–St Petersburg, has developed the first open multimodal dataset containing recordings of brain activity, heart function, and video observations to help researchers understand what happens in the human brain during deep concentration. In the future, the dataset could accelerate the development of neural interfaces, rehabilitation technologies, and AI systems. The article has been published in Scientific Data.
July 20, 2026
‘Science Is Universal-It Knows No Borders
Fuad Aleskerov, Tenured Professor and Director of the International Centre of Decision Choice and Analysis at HSE University, together with his colleagues, has developed methods of network analysis in bibliometrics that have made it possible to identify patterns in the appearance and citation of publications in academic journals, as well as their influence on each other. When one or a number of studies are frequently cited by a wide range of journals, this is an indicator that the research is of high quality. By contrast, extensive cross-citation within a limited group of journals increases the likelihood of identifying a network of predatory publications.
July 20, 2026
Scientists Propose Method for More Efficient Resource Use in Machine Learning
An international group of researchers, including mathematicians from the AI and Digital Science Institute at the HSE Faculty of Computer Science, has provided a theoretical justification for a simple and computationally efficient method of estimating uncertainty in Stochastic Gradient Descent (SGD). The paper has been published on the scientific preprint server arXiv.org and presented at AISTATS 2026.

 

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Projecting Mozambique’s demographic future

Journal of Futures Studies. 2014. Vol. 19. No. 2. P. 21–40.
Zinkina J. V., Korotayev A.

The recent decade has witnessed remarkable success in various aspects of socioeconomic development in Tropical Africa. However, contrary to the “development is the best contraceptive” expectations, fertility in many countries remains stalled, frequently at very high levels of 5 and more children per woman. This actualizes the risks of population explosions, which are particularly sharp, and can bear truly dramatic consequences for national and even regional development, in the largest countries. In order to foresee such risks, valid population projections are necessary. The only widely recognized comprehensive series of such forecasts is currently developed by the UN Population Division; however, the method underlying their forecast has a number of limitations. We offer a different method for modelling the scenarios of demographic future of a given country. We apply this method to the case of Mozambique and reveal that the population projections calculated for Mozambique by the UN Population Division in 2012 – 2013 seem to be overly optimistic. 

Research target: Political Science, International Relations, and Public Administration Economics and Management Sociology (including Demography and Anthropology Philosophy, Ethics, and Religious Studies
Priority areas: economics sociology state and public administration IT and mathematics mathematics
Language: English
Full text
Keywords: демографиярождаемостьАфрикарискиdemographyконтроль над рождаемостьюAfricademographic dynamicsdemographic catastropheдемографические прогнозыdemographic forecastdestabilizationсоциально-политическая дестабилизацияполитическая демографиярождаемость в наименее развитых странахrisks of destabilizationМозамбикMozambique
Publication based on the results of:
Monitoring of risks of socio-political destabilization in the "Afro-Asiatic" zone of instability (2014)
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