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September 7, 2026
Biologists Discover 'Molecular Fingerprint' of Preeclampsia
Researchers at HSE University employed a new method to model hypoxia in placental cells during pregnancies complicated by preeclampsia and identified molecular markers of tissue hypoxia. Since hypoxia is one of the key mechanisms underlying preeclampsia, these findings are important for a more accurate and timely diagnosis of the disease and for the development of effective treatment methods. The paper has been published in Placenta.
September 7, 2026
‘Speech, Facial Expressions, and Gestures Cannot Lie
Would you like to know whether a speaker’s trembling voice or an accidental gesture can give them away? At HSE University in Nizhny Novgorod, researchers are developing an algorithm that analyses speech, facial expressions, and gestures, and determines whether information is truthful with 92% accuracy. The project has applications ranging from forensic examination and bank recruitment to fundamental research. Anna Khomenko, head of the research group and Senior Research Fellow at the Centre for Language and Brain at the HSE Faculty of Humanities in Nizhny Novgorod, explains how students and researchers are working together to create a corpus of video recordings, train a classifier, and prepare to introduce computer vision technology.
September 4, 2026
Time to Showcase Your Research: Applications Are Now Open for Student Research Paper Competition 2026
Taking part in the Student Research Paper Competition (SRPC) gives you an opportunity to present your research to experts, receive an independent assessment, and determine the future direction of your work. The competition is open to students graduating in 2026 not only from HSE University but from universities in Russia and abroad. Papers may be submitted in Russian and English, and in some fields also in French, German, and Spanish.

 

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Российские школы через призму мониторинга цифровой трансформации образования (анализ различительных возможностей инструмента)

Вып. 12(42). M. : National Research University Higher School of Economics, 2020.
Mertsalova T., Dvoretskaya I.

In this paper we discuss the first results obtained during the testing of school digital transformation monitoring, which has been developed and implemented by the Institute of Education, Higher School of Economics, for Federal State Autonomous Institution “Fund for New Forms of Education Development” in the interests of the Ministry of Education of Russian Federation. We present a clustering-based tool, that helps to highlight the specifics of digital transformation in different groups of schools (clusters). It is shown that processes of digital transformation can vary significantly. We conclude that there is a need for further elaboration of the approach presented within the next stages of monitoring digital transformation, planned for 2020–2021.

Language: Russian
Text on another site
Keywords: кластеризацияclusteringцифровая трансформацияцифровая трансформация школыDigital transformation of schoolsmonitoring and evaluation of digital transformation of educationмониторинг цифровой трансформации образованияdigital transformation
Российские школы через призму мониторинга цифровой трансформации образования (анализ различительных возможностей инструмента)
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