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News
September 9, 2026
‘Balkan Hospitality Opens Doors: Studying Dialects on the Verge of Extinction
You cannot study spoken dialects from books. Instead, you need to go to a village, seek out its elders, and earn the trust of local residents before you can record hours of spontaneous stories. This is how Natalia Muravleva, Associate Professor at the Faculty of Humanities, conducts her research. Her internship in Serbia continued her long-standing study of dialects spoken by Macedonian settlers. In this interview, she discusses how diaspora cultural centres help researchers reach informants, why native speakers need to be interviewed only in their own language (otherwise, as she puts it, they may 'break'), and how a single field season helped her finalise her monograph. She also shares warm memories of autumn in Belgrade and of colleagues with whom grammar can be discussed in three languages at once.
September 9, 2026
Scientists Train Neural Network to Generate Process Plans from 3D Models
Researchers at the HSE FCS AI and Digital Science Institute have developed CAD2TechSpec, a framework that converts 3D models of mechanical parts into machining process plans—step-by-step instructions for machine tools. The solution aims to reduce the time required for the design and preparation of technical process documentation in mechanical engineering, aircraft manufacturing, and other high-tech industries. The study findings have been published in PeerJ Computer Science.
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.

 

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Методология теоретических исследовательских программ: сравнительные преимущества для анализа динамики научного знания

Социология: методология, методы, математическое моделирование. 2015. № 40. С. 114–140.
Kozhanov A.

The paper discusses some issues of selection, comparison and evaluation of relevant methodology for scientific knowledge dynamics analysis. Postpositivist metatheoretical discourse within sociological theory has been predominantly concerned with contrasting approaches to science studies? developed by Kuhn and Lakatos with some sociological projects (Mullins, Bloor, Foucault) . "Theoretical research programs" methodology suggested/elaborated by Berger, Zelditch and Wagner provides us with many benefits and advanced features instrumental demonstration of which can be demonstrated when applied to  a history of sociology of science. "Theoretical research programs" methodology responds to questions of theory evaluation, way they are clustering, social and rational aspects of their development and indicators/empirical evidence of theory progress.

Research target: Sociology (including Demography and Anthropology Philosophy, Ethics, and Religious Studies
Priority areas: sociology
Language: Russian
Full text
Keywords: sociology of scienceэпистемология epistemologyисследования науки и технологий (STS)исследовательская программаметатеорияresearch programscience studiesНаука и общество. Социология наукилогика и методология наукиlogic and methodology of science
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This open access book provides a method for philosophical problem solving, offering philosophers the tools to stay ahead of machine intelligence. Louis Vervoort argues that, with ultra-intelligent AI knocking at the door, philosophy can no longer rely solely on its ancient methodological toolkit. The proposed method is essentially the same as used in natural science, ...
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Studying or Children? Factors and Diversity of Event Sequences in Female Educational and Childbearing Trajectories
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This study examines the relationship between educational and reproductive choices and aims to establish whether they compete in the lives of young Russian women born in the 1990s. The authors use longitudinal data of the ‘Trajectories in Education and Carriers’ survey (2011–2021; panel sample N = 992) and successively apply sequence analysis, cluster analysis, and ...
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