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Subject
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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?

Цифровой образ компании и её стоимость

Российский журнал менеджмента. 2023. Т. 21. № 1. С. 5–22.
Molodchik M., Гагарин А. С., Елтышев Р. А.

Goal: the paper evaluates the impact of a company’s digital image on its value. Methodology: the authors use panel data analysis applied to a large array of information on the news of the 25 largest US medias, the Google Trends web application and the Twitter social network for the period from 2017 to 2022 for companies from the NASDAQ-100 index. Findings: the findings revealed that the popularity of the company on the Internet, the number of tweets, the information polarity in digital channels and the frequency of mentioning Robotics and CRM technologies significantly positively affect company’s value. At the same time, the amount of news and information about Big Data technology has a negative impact on investor expectations. Originality and contribution of the authors: to the best of our knowledge this study is the first one introducing a definition of the company’s digital image and indicators for its measurement. The authors emphasis the specific characteristics of digital channels, such as visibility, information content, involvement, reliability and the sentiment analysis of company’s information in the digital space.

Research target: Economics and Management
Language: Russian
DOI
Keywords: стоимость компанииtwittermeasurementnewsновостицифровые технологииtwitterцифровизацияdigital imageGoogle TrendsGoogle Trendscompany’s valuedigital technologiesизмерение цифрового образа
Publication based on the results of:
Intellectual Capital of an Organization: Human Resource Management Practices and Knowledge Sharing (2023)
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