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September 4, 2026
Time to Showcase Your Research: Applications Are Now Open for Student Research Paper Competition 2026
Taking part in the Student Research Paper Competition (SRPC) gives you an opportunity to present your research to experts, receive an independent assessment, and determine the future direction of your work. The competition is open to students graduating in 2026 not only from HSE University but from universities in Russia and abroad. Papers may be submitted in Russian and English, and in some fields also in French, German, and Spanish.
September 4, 2026
‘Hedgehog Versus ‘Relatives: Researchers Measure How the Brain Responds to Unexpected Words During Natural Speech
Russian neurophysiologists, including researchers from HSE University, have demonstrated the feasibility of using event-related fields (ERFs) to study brain activity during natural speech perception. The researchers showed that this approach can be applied not only to individual words but also to continuous speech. Their findings indicate that words whose meanings differ significantly from the preceding context require longer processing times. The study also reveals that the brain processes function words in two stages: first, it identifies their grammatical role and then uses this information to predict the next word. The study has been published in Frontiers in Human Neuroscience.
August 25, 2026
Scientists Develop Algorithm for More Reliable Processors in Data Centres
Researchers from HSE MIEM and Samara University have developed the LRF-3D algorithm to automatically bypass idle nodes in three-dimensional networks-on-chip. Thanks to its hierarchical architecture, the algorithm outperforms existing solutions in both speed and path accuracy, improving processor reliability for use in data centres, supercomputers, and AI computing. The source code and test results are publicly available.

 

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Heterogeneous technology and specialization for economic growth beyond the middle-income stage

Economic Modelling. 2022. Vol. 112. Article 105853.
Han J., Lee K.

Many middle-income countries are caught in the middle-income trap, facing a slowdown in growth. Although they are undergoing a structural transformation from labor-intensive to capital-intensive sectors, existing literature does not provide theoretical guidance on which capital-intensive sectors to enter first. This study builds on Schumpeterian sectoral heterogeneity to develop a two sector, two country trade model. A static model shows the comparative advantage of an emerging economy in a sector with a short cycle time of technology (CTT), which is associated with high rates of depreciation of knowledge embodied in capital and thus, low entry barriers for an emerging economy. The dynamic model then shows that as an emerging economy accumulates more capital stock, it eventually loses its comparative advantage in short CTT sectors, and it becomes optimal to specialize in the long CTT sectors as many advanced economies do.

Research target: Economics and Management
Language: English
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Keywords: economic growthspecializationcomparative advantagemiddle-income trapcycle time of technologiesHeterogeneous technologies
Publication based on the results of:
Impact of climate change agenda on innovation actors’ behaviour (2022)
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