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Subject
News
September 17, 2026
'I Wish That People Would Place Greater Trust in Science'
When Tatiana Eremicheva chose Fundamental and Computational Linguistics as her field of study, she thought it would be about learning languages. Instead, she discovered it was about helping people. In this interview for the HSE Young Scientists project, she discusses science as a way of understanding the world, billiards as a team-building activity, and why learning to read is not always as easy as it seems.
September 15, 2026
Immunity to Chaos: How Personal Resources Help Us Cope with the Challenges of a Turbulent World
International conflicts, crises and digital overload—the modern world puts our minds to the test every day. Traditional psychology often focuses on the consequences: anxiety, depression, and psychosomatic disorders. But what if we looked at the problem differently—through the lens of the resources that prevent us from breaking down? Psychological immunity is precisely this set of resources. Alena Zolotareva and her group, Psychological Immunity as a Resource for Positive Functioning, are developing an integrative model of this phenomenon, adapting diagnostic tools and preparing for large-scale empirical research. Why do psychologists need to collaborate with medical professionals, and how could their research transform preventive care in clinics and corporations?
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.

 

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Big Data and Artificial Intelligence for Decision-Making in the Smart Economy

Vol. 168. Switzerland : Springer, 2025.
Under the general editorship: A. Karbekova, L. Žák, I. Milenković

This book focuses on the systemic scientific-methodological and practical exploration of organizational-technical and socio-economic issues related to the automation of decision-making in the smart economy under Industry 4.0 using big data and artificial intelligence (AI). The scientific novelty of the results presented in the book lies in uncovering the “black box” of decision-making automation in the smart economy through these technologies. The book clarifies the role and significance of big data and AI in decision-making within the smart economy, highlighting its fundamental importance. Additionally, the book thoroughly discusses international experiences in decision-making automation in the smart economy, with examples from Armenia, Kyrgyzstan, and other Central Asian countries, demonstrating its empirical value.

The book reveals advanced organizational-economic models for decision-making based on big data and AI. It also presents the latest trends in the development of the smart economy using big data and AI. Moreover, the book explains the socio-ecological and legal aspects of the ethics in applying big data and AI technologies. Additionally, the book proposes prospective applied solutions for decision-making in the smart economy based on big data and AI. The target audience of the book includes scientists studying big data and AI.

Chapters
The Role of Audio Information Reconstruction Based on Brain Activity Analysis in Enhancing the Quality of Human–Machine Interaction
Asker A. Nagoev, Rusak A., Truskova A., , in: Big Data and Artificial Intelligence for Decision-Making in the Smart EconomyVol. 168.: Switzerland: Springer, 2025. Ch. 41 P. 389–396.
Added: August 27, 2025
Research target: Computer Science Economics and Management Social and Economic Geography (including Urban and Transportation Studies)
Language: English
DOI
Text on another site
Keywords: Smart economybig datadigitalizationSmart Technologies Decision-makingArtificial IntelligenceIntellectual decision support
Big Data and Artificial Intelligence for Decision-Making in the Smart Economy
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Gridded Data on Population Density in Russia: Validation and Correction of the Global GHS-POP Model
Sheludkov A.V., Gonyukhov P.O., Ignatenko P.Y. et al., Regional Research of Russia 2026 Vol. 16 P. 399–409
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Added: September 13, 2026
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Added: August 31, 2026
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An increasing number of organizations are implementing artificial intelligence (AI) technologies into various business processes, and the number of publications addressing aspects of AI’s application in the workplace is growing rapidly. Given the uncertainty surrounding the effects of AI implementation on the labor market, the time lag associated with its integration, and the novelty and ...
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Added: June 22, 2026
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Added: June 22, 2026
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