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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
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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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Computer models of verse prosody

P. 155–165.
Kazartsev (Evgenii Kazartcev) E.

This paper deals with the simulation of rhythmical structures in metrical verse in different languages. The study is based on a new computer system for analysis of verse prosody included probability models of versification intended for a hypothetical reconstruction of the verse generation. The models are created by using natural accent in the language based on the prose rhythm and the specific technique of versification. A correspondence or lack of correspondence between verse and the models provides information regarding the mechanism of versification and the language (prosaic) reserves for the poetic rhythm. This research devoted to the comparative study of verse prosody on the background of computational probability models presents the results of the analysis the early iambs in German, Russian and Ukrainian poetry and observes some differences and similarities in the versification mechanisms in these literary traditions.

Language: English
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Keywords: prosodyGermanMetricComputer ModelsComparative VersificationRussian and Ukrainian Iambic Verse

In book

CEUR Workshop Proceedings
Vol. 2780: Computational Models in Language and Speech 2020. Proceedings of the Computational Models in Language and Speech Workshop (CMLS 2020), Kazan, Russian, November 12-13, 2020. , CEUR-WS.org, 2020.
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