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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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WebSci'18 Proceedings of the 10th ACM Conference on Web Science

NY : ACM, 2018.
Editor-in-chief: H. Akkermans, K. Fontaine, I. Vermeulen, G. Houben, V. de Boer, M. Weber

This year's edition of the WebSci conference (WebSci'18) celebrates the ten year anniversary of the unique conference series where a multitude of disciplines converge in a creative and critical dialogue with the aim of understanding the Web and its impacts.

The WebSci conference brings together researchers from multiple disciplines, like computer science, sociology, economics, information science, anthropology and psychology. Web Science is the emergent study of the people and technologies, applications, processes and practices that shape and are shaped by the World Wide Web. Web Science aims to draw together theories, methods and findings from across academic disciplines, and to collaborate with industry, business, government and civil society, to develop our knowledge and understanding of the Web: the largest socio-technical network in human history.

This year we were very pleased to receive 113 submissions for the regular research track. Given the high quality of submissions, it has been a hard job to decide which of the contributions to select for the conference. We are grateful for the support of the Program Committee which consisted of 10 senior members and 35 regular members. All PC members worked hard, based on which we could select an interesting, varied, exciting program comprising 30 long and 15 short papers.

Chapters
Internet Regulation Media Coverage in Russia: Topics and Countries
Shirokanova A., Silyutina O., , in: WebSci'18 Proceedings of the 10th ACM Conference on Web Science.: NY: ACM, 2018. P. 359–363.
Russia first introduced Internet regulation in 2012 with site blockings and then progressed to personal data retention and ban on VPNs. This makes an interesting case because online media had spread and established a parallel political agenda in Russia in the 2000s, before the onset of regulations. The focus of this study is the contents ...
Added: June 1, 2018
Research target: Sociology (including Demography and Anthropology Political Science, International Relations, and Public Administration Media and Communications Mathematics Computer Science
Priority areas: sociology management IT and mathematics mathematics
Language: English
Sample Chapter
DOI
Text on another site
Keywords: искусственный интеллектInternetnetworkingразвитие сетевых структурWeb ScienceВеб-наукаWorld Wide Webartificial intelligenceинтернет
WebSci'18 Proceedings of the 10th ACM Conference on Web Science
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