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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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Исследование конфликтности и детерминант точности прогнозов в рекомендациях российских финансовых аналитиков

Высшая школа экономики , 2015. № 10.
Bronevich A., Penikas H. I., Lepskiy A., Косюк Е. Д.
There is one of the investment strategies on a stock market called a choice of securities including its buying and sale based on financial analysts’ recommendations. The distinguishing characteristic of these recommendations is that in each of it for the same securities there can be different recommendations («Buy», «Sell», «Hold») as well as for one type of recommendations various target (long-term) levels of quoted price can be announced. By this reason it is of interest to analyze the quality of such recommendations. In annotated paper it is given the special consideration to the analysis of accuracy and profitability of financial analysts’ forecasts and recommendations as well as its consensus (conflict). The accuracy and the profitability are investigated by the methods of mathematical statistics. The conflict of forecasts is estimated with the help of the theory of belief functions. The study is based on the analysis of approximately five thousands recommendations and forecasts of investment banks around forty securities of Russian stock market over the period of 2012–2014 years. The analysis of the quality of financial analysts’ recommendations and forecasts helps us to propose the investment strategy that will be able to yield a higher return comparing with traditional strategies.
Research target: Computer Science Economics and Management
Priority areas: economics
Language: Russian
Full text
Text on another site
Keywords: Russian stock marketShapley valueвектор Шеплирекомендации аналитиковмера конфликтаconflict measureанализ биржевой информациифункции доверияanalysts forecast
Publication based on the results of:
Data Analysis and Decision Making in Socio-Economic and Political Systems (2015)
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