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News
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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Public sector e-innovations. E-government and its impact on corruption

NRU Higher School of Economics , 2013. No. 04/STI/2013.
Proskuryakova L. N., Abdrakhmanova G., Pitlik H.
The paper aims at assessing indicators and individual elements of e-government of selected countries in 2009-2010, and the interrelation of e-government with corruption in the public sector. The authors explore possible causal and dependency relations of the established interlink between e-government and public sector corruption. Although it is universally acknowledged that corruption is an evil, there is much debate over which determinants of corruption are important. Using econometric analysis for sizeable country samples the authors verified the closeness of interrelation between e-government indicators and ICT Development Index indicators, such as online services quality and ICT usage, on one hand, and the level of perceived public sector corruption, on the other hand. The major research papers were analyzed, along with international rankings and databases of international organizations. Based on the analysis recommendations for overcoming international e-government measurement constraints are put forward, as well as suggestions for future studies of the topic.
Research target: Computer Science
Priority areas: IT and mathematics business informatics engineering science
Language: English
Full text
Keywords: электронное правительствокоррупцияинновацииinnovationpublic sectorгосударственный секторcorruptionICTИКТe-Government
Publication based on the results of:
Forming effective science, technology and innovation policy:methods and instruments (2013)
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Innovation in Medicine and Healthcare. Proceedings of 13th KES-InMed 2025, (SIST, volume 487)
Springer, 2026.
The Smart Innovation, Systems and Technologies book series encompasses the topics of knowledge, intelligence, innovation and sustainability. The aim of the series is to make available a platform for the publication of books on all aspects of single and multi-disciplinary research on these themes in order to make the latest results available in a readily-accessible ...
Added: August 16, 2026
Two-dimensional Fourier transform as a tool for identification of coherent patterns in spiking neuronal networks
Khorunzheva K., Postnikov E., Zakharov D., Chaos, Solitons and Fractals 2026 Vol. 212 No. 2 Article 118958
Identification of coherent states of spiking neural networks is a fundamental problem of synchronization theory but conventional methods are computationally expensive. We apply the crystallographic ideas of processing periodic structures to the analysis of various states of spiking neuronal networks. In particular, the introduced approach is based on the application of two-dimensional Fourier transform to rasterplots. By the position ...
Added: August 13, 2026
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