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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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Разработка инструментария изучения идентификации работников в организации

Организационная психология. 2019. Т. 9. № 3. С. 74–102.
Сидоренков А. В., Шипитько О. Ю., Штильников Д. Е., Stroh W. A.

Purpose. The goal is to develop and test new questionnaires for organizational and suborganization, group and microgroup, interpersonal and personal identification (identity) of employees in the organization. Method. The substantive validity of four new questionnaires of social(organizational) identity was examined. The selection of these questionnaires totaled 514 employees from various large organizations (state universities, institutions in the field of management and lawenforcement functions, as well as commercial companies). The results were processed using factor analysis using the principal component method and the Varimax rotation with Kaiser normalization; descriptive statistics, Cronbach’s alpha coefficients and Pearson correlations were calculated; the conformity of the empirical distribution to the normal was evaluated. Results. It is shown that, depending on the components of identity, a survey of organizational and suborganizational identity (consists of two corresponding parts) has a two-factor structure, and includes two subscales in eachpart: cognitive and affective identity. The group and microgroup identity questionnaire (includes tworelevant sections), the interpersonal identity questionnaire and the personal identity questionnaire have a three-factor structure and consist of three subscales, such as cognitive, affective and behavioral identity. It is shown that the questionnaires in general have validity and reliability by the analyzed indicators. However, a subscale of microgroup behavioral identity and a subscale of personal behavioral identity have an internal consistency below acceptable. The value of the results is the development of unified questionnaires, which together allow to measure six aspects (levels) of employees’ identity (identification with the organization as a whole and a large structural unit, with a small group / team and an informal subgroup in a group, other members of the group and oneself) two or three components in each. The simultaneous use of these questionnaires will allow a comprehensive study of the measure and proportionality of different levels of identity (for each component), links between levels of identity (for each component), as well as links of identity levels (for certain components) with attitudes and behavior of workers, psychological characteristics and effectiveness of groups. Practical implications. Practitioners will be able to assess the degree of expression of all levels and components of the identity of employees in a particular organization / group. Based on this, it is possible to predict attitudes and behavior of employees, as well as selectively develop (where necessary) certain levels and components of identity.

Research target: Psychology
Priority areas: management humanitarian
Language: Russian
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Keywords: организационная идентификациягрупповая идентичностьquestionnairesорганизационная идентичностьопросникиперсональная идентичностьсуборганизационная идентичностьмикрогрупповая идентичностьмежличностная идентичность
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