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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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Российский стандарт тестирования персонала (временная версия, созданная для широкого обсуждения в 2015 году)

Организационная психология. 2015. Т. 5. № 2. С. 67–138.
Батурин Н. А., Вучетич Е. В., Костромина С. Н., Кукаркин Б. А., Куприянов Е. А., Лурье Е. В., Митина О. В., Науменко А. С., Orel E., Полетаева Ю. С., Попов А. Ю., Потапкин А. А., Симоненко С. И., Синицына Ю. Д., Шмелёв А. Г.

 In recent decades Russian companies have seen a widespread use of psychometric testing as part of personnel assessment procedures; however, until now there have been no single, universally accepted document containing the list of requirements and criteria for assessing the quality of testing. Russian standard for personnel testing was established in 2014–2015, on the initiative of the National Confederation of “Human Capital Development” and supported by the expert community. This standard is intended to clarify and popularize the Russian speaking space of one of the basic principles of shared responsibility: the test is responsible for the quality of the developer, and for the quality of the test — the user of techniques. This standard is developed in the period of information and computer revolution, which has led to the proliferation of new types of testing — especially remote online testing has become particularly relevant for large, geographically distributed companies. The standard is designed to solve this problem at the level common to all of the professional community of methodical, technological and ethical requirements for the testing procedures and regulations for the use of their results. In the development of the Russian standard takes into account the recommendations of national and international guidelines for the development and application of test methods. This first edition of the Russian standard for personnel testing — a generally applicable practice-oriented methodological guidance. It lays the foundation for further development of more detailed and highly specialized standards, and is the basis for “professional standards for personnel evaluator” along with the standards of other valuation methods and procedures.

Research target: Psychology
Priority areas: management
Language: Russian
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Text on another site
Keywords: надежностьreliabilityтестированиеон-лайн тестированиепсиходиагностикавалидностьоценка персоналаtestingvalidityтестовые методикиpsychological testingRussian standard for personnel testingonline testingpersonell assessmentpsychometric testsprofessional selectionprofessional knowledge testsроссийский стандарт тестирования персоналапсихометрические тестыпрофессиональный отбортесты профессиональных знаний
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