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News
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.’
August 21, 2026
Social Integration: At the Crossroads of Knowledge and Values
The International Laboratory for Social Integration Research (ILSIR) at HSE University studies the challenges faced by vulnerable groups and explores ways to help them participate fully in everyday life. To develop effective solutions, the laboratory’s researchers combine cutting-edge methods with practical fieldwork. In this interview with the HSE News Service, Laboratory Head Elena Iarskaia-Smirnova discusses the laboratory’s work.

 

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Social Structure and Agency as Time-scaled Dynamical System. The Case of Scientific Capital

Applied Mathematical Sciences. 2012. Vol. 6. No. 133. P. 133–136.
Shmatko N., Katchanov Y. L.

This article proposes a mathematical model of capital that further develops Pierre Bourdieu’s concept of the scientific field. The model describes the joint evolution of scientific capital, the habitus of scientists, and scientific practice. The model is implemented as a random dynamic system with the help of self-consistent equations in the form of a Lorenz – Haken system.

We show that if the characteristic relaxation time of the scientific capital is far greater than the relaxation times of the habitus of scientists and scientific activity, then the distribution of scientific capital is determined by the correlation of the parameters of external action on the scientific field with the intensity of fluctuations of scientific habitus and scientific activity.

Research target: Mathematics Sociology (including Demography and Anthropology
Priority areas: economics sociology mathematics
Language: English
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Keywords: социология наукисоциальная структуранаучный капиталsocial structureсоциология познанияMathematical models in sociologyScientific capitalSingularSlow-fast systemsStochastic Lorenz systemматематические модели в социологииметоды обработки и анализа социологической информацииприменение теоретико-вероятностных и статистических методовнаука и общество
Publication based on the results of:
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