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News
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.
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.

 

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Chasing Yesterday: Struggle for Digitalization in Serial Violent Crimes Investigation in Russia

Legal Issues in the Digital Age. 2023. Vol. 4. No. 4. P. 68–91.
Denisov E. V.

Mirroring the public administration digitalization trend, most Russian law enforcement agencies have either started or intensified digitalisation of their governance, criminal procedure, and operational-investigative activities. However, while setting certain rather ambitious goals, the agents of such changes at times lack, on the one hand, technical and scholar methodological issues and, on the other hand, do not pay the necessary attention to hiring skilled personnel for the divisions concerned. Those issues are especially relevant as Russian science and practice are falling behind already rather obsolete technical means in the field of quantitative analysis of data on serial violent crimes, prevention and countering of which have long been a ‘sore point’ of Russian law enforcement agencies. The author uses phenomenological approaches to the analysis of developmental patterns and digitalization of serial violent crimes investigation. Besides, the historical method and systemic approach to the analysis of regulatory acts, as well as specialised sources containing valuable information about the progress of quantitative research methodology in Russia and abroad, are used. Criminal anthropology approaches to the assessment of relevant behavioural characteristics of serial violent offenders, essential for the dataset creation process, were followed during the analysis of the methodological aspects of data collection and analysis. The records of interviews with attorneys, investigators, and employees of law enforcement higher educational institutions, conducted by the author, were also assessed. Methodological deficiency of databases containing criminological significant information about serial violent crimes, as well as the issue of the divisions responsible for detecting such crimes being under-equipped, were examined in detail in the article. The author is convinced that the system of criminal statistics in Russia is incapable of collecting and analysing quantitative data about crimes. Under such circumstances, it is justifiably questionable whether the introduction of not only artificial intelligence but also quantitative data analysis as a whole in the system of the Ministry of Internal Affairs, Public Prosecutor’s Office, and Investigative Committee of Russia will be productive.

Research target: Law Other social sciences Psychology
Language: English
DOI
Text on another site
Keywords: machine learningcriminal statisticsserial violent crimesstate information systems artificial intelligenceViCAPViCLAS
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Cyber-Creativity: A Decalogue of Research Challenges
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Creativity is the primary driver of our cultural evolution. The astonishing potential of artificial intelligence (AI) and its possible application in the creative process poses an urgent and dramatic challenge for humanity; how can we maximize the benefits of AI while minimizing the associated risks? In this article, we identify all forms of human–AI collaboration ...
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Artificial Intelligence in Courts, Arbitration and Issues of “Hallucinations”
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The article examines specific aspects of artificial (machine) intelligence in dispute resolution in state and arbitration courts . Drawing on legal research methods and data from artificial intelligence science, the authors propose a significant obstacle to its application in the legal sphere is the so-called “hallucination problem,” i .e ., the generation of false data by machine intelligence programs ...
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Can Humor Reveal Dark Personalities? Machine-Learning Detection of the Dark Tetrad
Glinkina L. S., Doptan E., Kosonogov V., Journal of Individual Differences 2026 No. 47(3) P. 132–143
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Added: July 8, 2026
Проникновение искусственного интеллекта в жизненный цикл разработки программного обеспечения: эмпирический анализ рынка труда
Stoyanova O., Окусков И. С., Бизнес-информатика 2026 Т. 20 № 2 С. 81–93
The integration of artificial intelligence (AI) into information technologies is reshaping competency requirements for IT specialists. However, AI competency penetration into the early phases of the Software Development Life Cycle (SDLC) – requirements analysis and planning – remains underexplored. Existing studies either rely on static competency models lacking empirical validation or analyze the labor market ...
Added: July 5, 2026
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