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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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Towards an anticipatory system incorporating corporate foresight and competitive intelligence in creating knowledge: a longitudinal Moroccan bank case study

Technological Forecasting and Social Change. 2022. Vol. 174. Article 121139.
Hakmaoui A., Oubrich M., Calof J. L., El Ghazi H.

Since banks are competing in challenging and dynamic market environments, an anticipatory system generating futures-relevant knowledge is of primordial importance for an effective bank strategy. The objective of this research is to investigate how corporate foresight and competitive intelligence, considered as parts of an anticipatory system, create knowledge. Our main contribution lies in arriving at a better understanding of these processes in the mainstream of knowledge creation grounded in the SECI model. To this end, we followed a longitudinal case-study methodology for more than eight months within a leading bank in Morocco. The findings show that while the competitive intelligence unit focuses more on commercial and competitor intelligence targeting hence other banks market strategies, the corporate foresight unit tries to identify the bank market weak signals and major trends in the banking sector. Knowledge creation is mainly triggered in the social interaction context in the competitive intelligence unit, while the externalization phase involving interacting Bas is critical to knowledge creation in the corporate foresight unit. The results also confirm the presence of a black hole strategy problem and a lack of coordination between competitive intelligence and corporate foresight processes, thus highlighting the need for dynamic integrated anticipatory systems.

Research target: Economics and Management
Language: English
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Keywords: Corporate Foresightknowledge creationглубинный анализ данныхкорпоративный форсайт Anticipatory systemsCompetitive IntelligenceMoroccan banking sector
Publication based on the results of:
The new science, technology, and innovation agenda to address the grand challenges (2022)
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