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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.
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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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A Hybrid Approach to the Maximum Clique Problem in the Domain of Information Management

P. 323–336.
Demidovskij A., Babkina T. S., Babkin E.

In this paper we observe the opportunity to offer new methods of solving NP-hard problems which frequently arise in the domain of information management, including design of database structures and big data processing. In our research we are focusing on the Maximum Clique Problem (MCP) and propose a new approach to solving that problem. The approach combines the artificial neuro-network paradigm and genetic programming. For boosting the convergence of the Hopfield Neural Network (HNN) we propose the genetic algorithm as the selection mechanism for terms of energy function. As a result, we demonstrate the proposed approach on experimental graphs and formulate two hypotheses for further research.

Language: English
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Keywords: information managementGenetic algorithmHopfield Neural networks

In book

Advances in Intelligent Systems and Computing Proceedings of the Fifth International Conference on Fuzzy and Neuro Computing (FANCCO - 2015)
Advances in Intelligent Systems and Computing Proceedings of the Fifth International Conference on Fuzzy and Neuro Computing (FANCCO - 2015)
Vol. 415. , Switzerland: Springer, 2015.
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