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July 9, 2026
HSE Economists Use Search Queries to Forecast Birth Rates
Researchers from the HSE Faculty of Economic Sciences have shown that the accuracy of birth rate forecasts for Russia can be improved by almost 50% by incorporating the dynamics of online search queries related to pregnancy and childbirth into forecasting models. In the best-performing models, the forecasting error fell from 4.6% to 3.2%. The findings have been published in Populations and Economics.
July 8, 2026
HSE Researchers Discover Who Eats Out in Russia-And Why
Around one-third of Russians (31.3%) rarely eat out or buy ready-made meals. The core group of active consumers—those who eat out or purchase prepared food almost every day or several times a week—accounts for only about 9% of the population. These are the findings of a study conducted by the HSE Institute for Social Policy. According to the researchers eating out is no longer a marker of high social status in Russia.
July 8, 2026
HSE University and RREDA Join Forces to Support 2026 Renewable Energy of the Planet Competition
HSE University and the Russia Renewable Energy Development Association (RREDA) have signed a partnership and information cooperation agreement to support Renewable Energy of the Planet—2026, a national competition with international participation for students and early-career researchers. Applications are open on the competition's website until September 20, 2026.

 

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Modelling social bonds dynamics in groups: an approach to optimise interdisciplinary science projects and to analyse long-term social evolution

International Journal of Nanotechnology. 2021. Vol. 18. No. 9/10. P. 915–925.
Andreyuk D. S., A. A. Shuranova

The paper suggests a means of modelling social relationships basedon the analysis of social bonds dynamics and mechanisms of social groupsformation. A group is the cornerstone of this approach, being defined in termsof social bonds density among individuals constituting it. A number ofconditions for the formation of social bonds are set, taking into account innateindividual parameters, such as aggression, sociality, and cognitive abilities,along with those acquired during the lifetime – cultural, religious, linguistic,national, etc. Confrontational and cooperative patterns of individual andgroup behaviour are also considered. Applied within short time frames,the suggested approach and models on its basis can serve for predictingconflicts in interdisciplinary and international science projects, including largetechnological projects with the use of nanotechnologies. Observed over longertime periods, social groups can become an object for research of socialrelationships evolution in general, including becoming a basis for modellinghuman civilisations evolution.

Research target: Social Sciences
Language: English
DOI
Text on another site
Keywords: social conflictsmodellingsocial groupssocial evolutionsocial bonds dynamics
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