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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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?

Development of Systems Modeling Technology in Strategic Decision Support Systems

Ch. 13.
Lychkina N. N.

The article deals with the general principles of construction and architecture of modern cognitive centres to support strategic decision-making on socio-economic development and its basic components based on a generalised simulation model of the socio-economic system, complemented by modern knowledge-oriented cognitive technologies, as well as data analysis and scenario analysis techniques.
Approaches to the construction of multi-paradigm simulation models based on the principles of a composite combination of system dynamics and agent-based simulation modeling are proposed, which allow describing the processes of development and self-organization in socio-economic systems.
The promising directions for the development of systems modeling technology and the construction of multi-model complexes in strategic development projects based on the principles of stratification, ontological modeling, scenario planning are outlined.

Language: English
Full text
Keywords: system dynamicssimulation modelingsocio-economic systemsstratificationAgent-based modeling and simulationOntological models

In book

Proceedings of the Conference on Modeling and Analysis of Complex Systems and Processes 2021 (MACSPro 2021)
Aachen: CEUR Workshop Proceedings, 2022.
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