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News
September 11, 2026
How to Assess Students Knowledge in the Age of AI
A researcher at HSE University has proposed a flowchart to help lecturers decide how to assess students who use artificial intelligence. It shows where the use of AI should be restricted and where it can be incorporated into the learning process. The article has been published in IT Professional.
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.

 

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Канон интернет-исследований: сообщество без дисциплины

Философия. Журнал Высшей школы экономики. 2022. № 2. С. 88.
Kolozaridi P., Юлдашев Л.

Abstract: The article focuses on how the notion of canon enables the description of a research field. The authors outline the problem of studying studies, i. e., research fields that are not classical disciplines. Because of the interdisciplinary nature of the knowledge produced in studies, it does not form the corpus of classical texts, basically considered classics, but a set of authors and texts that influence the development of discussions and the choice of directions of theoretical and practical research. In order to map key approaches and explore intellectual foundations, we propose the canon as a term. It can be understood as a set of authors’ actions, relations, and circumstances (like institutions) that result in texts and concepts accepted in a particular research field. Moreover, vice versa, the texts and concepts circulate in the organizations and influence them. The canon makes it possible to map the boundaries of an interdisciplinary field, distinguishing it from others and, at the same time, from the disciplines it inherits. The authors draw attention to the traditional approaches used to describe research fields: sociology of knowledge, self-descriptions of the field, and an appeal to the way research is carried out in a particular field. The second part of the paper attempts to reconstruct three histories of scholars significant in Internet Studies, clarifying the discussions in which they participated and demonstrating how the canon in internet studies was formed. Institutional factors and the theoretical resources contribute here to understanding the boundaries of Internet Studies. The analysis of canon authors thus makes it possible to separate internet studies from the other fields, such as digital humanities or digital economics. The canon turns out to be a kind of infrastructure, directing internet studies researchers to some subjects and making it more challenging to address others.

Research target: Philosophy, Ethics, and Religious Studies Sociology (including Demography and Anthropology
Language: Russian
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Keywords: internetсоциальные наукиклассикаканонsocial sciencesInternet studiesинтернет-исследованияинтернетClassicsсanon
Publication based on the results of:
Genealogies of “algorithmic rationality” in the late USSR: from cybernetic utopia to information society (2022)
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