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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.
August 24, 2026
Researchers Develop Method for Direct Generation of Regulatory DNA
Researchers at HSE University have developed a model for generating promoters and enhancers—DNA sequences that regulate gene activity. The model works directly with DNA nucleotides, without first transforming them into a continuous numerical representation. This solution could be useful for applications in synthetic biology and gene therapy. The study results were presented at the ICLR 2026 Workshop ‘Generative AI in Genomics (Gen^2): Barriers and Frontiers.’

 

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Redistributive policy and redistribution preferences: the effects of the Moscow redevelopment program

Post-Soviet Affairs. 2024. Vol. 40. No. 3. P. 175–203.
Marques II I., Alexei Zakharov

How does inclusion in social policy programs strengthen individuals’ support for redistribution, and lead to spillovers in support for future social policy programs? We study a unique dataset of 1,300 Moscow residents to estimate the effect of participating in a government-sponsored redevelopment program on preferences for redistributive social policy. Our design exploits features of the program designed to foster institutional trust by engaging citizens in the policy design process. We report a positive effect: individuals in buildings slated for redevelopment are more likely to agree that the government should reduce income differences between rich and poor, provide for the unemployed, and provide public housing. Our findings suggest that increased trust in the government is a channel through which program participation affects redistribution preferences, show how programs can be used strategically to promote a redistributive agenda, and suggest a pathway for the co-persistence of redistribution preferences and redistributive state policies.

Research target: Economics and Management
Language: English
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Keywords: housing policypreferences for redistributionconsultation
Publication based on the results of:
Institutions and human capital as factors in crisis adaptation (2024)
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