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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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Методологический вызов. Где границы применимости методов? Каковы критерии их эффективности?

МЕТОД: Московский ежегодник трудов из обществоведческих дисциплин. 2017. № 7. С. 5–24.
Ilyin M., Фомин И. В., Авдонин В. С.

A neat split-up of methods into qualitative and quantitative ‘boxes’ works with just a bunch of elementary and time-tested research devices. It would not easily apply such a division to multiplying cases of new designs for productive investigations. Often they are compound research capacities. A new and trendy ‘box’ termed mixed methods is ready at hand. However, compound structures are not just amalgamations. Their effectiveness rests on structural propensities and not on amassing of their initial components. Furthermore, steadily multiplying new research principles rest on neither quantity nor quality but on something transcending the quality – quantity dichotomy, e.g. Qualitative Comparative Analysis (QCA) or Lijphartian analysis of patterns of democratic rule. Methodological domains can diverge or converge. They can dispose of all ‘deceitful’ aberrations and shrink to a single ‘authentic’ set of algorithms (methodological monism or in its radical display methodological rigorism). They can also entangle alternative research capacities (methodological liberalism or pluralism). The authors would explicate their methodological stance as ‘democratic’. This is more than just a pompous political analogy. Modern democracy converges all sorts of rule to make them good enough for accountable and inclusive governance. Likewise, advanced methods of our age merge any kinds of exploratory faculties to make them good enough for valid and comprehensive investigation. Just as modern democratic practices and conventions have been emerging only recently, current multidisciplinary and transdisciplinary methods still evolve as trial aptitudes for making research far-reaching and reliable enough. Both modern democracy and transdisciplinary are more of a promise rather than long established paragons. The authors perceive the entire methodological realm as shaped into three overlapping but still very distinct major methodological domains – mathematical, morphological and semiotic organons of learning and research. They coalesce around fundamental and abiding principles. Their mundane and transient apparitions are grand methodological approaches and paradigms not say nothing about claims and technical devices of specific schools of thought and research. Mathematical organon integrates a relatively comprehensive domain. Morphological and semiotic ones only crudely amalgamate assortments of areas, branches and endeavors of research that are still at variance with each other. The task is to overcome residual discrepancies and to advance integrating principles of general or ‘pure’ semiotics (Morris) and morphology. The principles of organons derive from our basic sensoria and other primary cognitive abilities. Some originate in our sense of order, measure and quantity to produce mathematical organon. Others commence with our perception of forms, shapes and configurations to yield a would-be morphological organon. Further ones amplify our faculty to re-create and discover meanings in our intercourse with the world and each other to commence a budding semiotic organon. Immanuel Kant, Charles Sanders Pierce and other great minds provide guidelines for trichotomous structure of organons. It is tempting to proclaim analogy between the trichotomous structure of organons and current vague distinction of quantitative, qualitative and ‘mixed’ clusters of methods. One has to explore the analogy. Correlations between configurational comparative studies and morphology or between qualitative studies and semiotics are still problematic. Furthermore, it would be premature to expect a quick integration of entire domains of morphology or semiotics. It is pragmatic to work for integration of selected focal core areas. Possible options are reshaping of neo-institutional paradigms into morphological ones, integration of biological and linguistic morphologies as well as further advancement of biosemiotics and biopolitics.

Research target: Sociology (including Demography and Anthropology
Language: Russian
Full text
Keywords: математикаmathematicsсемиотикаKantморфологияmorphologysemioticsКантmethodological divergence and convergencetrichotomy of methodological organonsPiercequantitative, qualitative and mixed methodsметодологическая дивергенция и конвергенцияПирс количественные, качественные и «смешанные» методытрихотомия методологических органонов
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