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August 13, 2026
‘Working with AI Solves a Wide Range of Engineering Problems
Artificial intelligence is a working tool based on a balanced combination of algorithms and engineering. Experts and doctoral students from the HSE Moscow Institute of Electronics and Mathematics explain how AI technologies can improve an application, device, or system, and what engineering tasks are solved in the process.
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Whatever task Saraa Ali, Junior Research Fellow at the Laboratory of Methods for Big Data Analysis (LAMBDA) of the AI and Digital Science Institute (HSE Faculty of Computer Science), is working on, she thinks about how it can benefit people. She told the Young Scientists of HSE University project about her large family, diagnosing three-phase motors, and her dream of building a children’s home in her native country.
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‘The Peak of Stupidity and ‘The Valley of Despair: HSE Economists Propose an Explanation for the Dunning–Kruger Effect
The Dunning–Kruger effect, which describes a sharp surge in self-confidence among beginners followed by an equally rapid decline as they gain experience, can be explained by the nature of the learning process and the acquisition of new knowledge. This conclusion was reached by Andrey Vorchik of the HSE Faculty of Economic Sciences together with independent researcher Murat Mamyshev. They developed a mathematical model of learning and demonstrated how subjective confidence is formed and changes as knowledge accumulates, as well as how teachers can reduce the ‘valley of despair’ experienced by learners.

 

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Paranormal beliefs and core knowledge confusions: A meta-analysis

Personality and Individual Differences. 2024. Vol. 230. Article 112780.
Gallyamova A., Komyaginskaya E., Grigoryev D.

This meta-analysis examines the relationship between paranormal beliefs and Core Knowledge Confusions (CKC), a concept introduced by Lindeman and Aarnio (2007) to explore the link between ontological errors and belief in the paranormal. The CKC, which uses metaphor classification to assess ontological confusion, suggests that cognitive processes organize information into ontologies, and our interpretation of literal versus metaphorical expressions reflects these categorizations. Despite advancements in education, ontological confusion persists, manifesting in various forms like mentalization of matter, physicalization of the mental, and biologization of the mental. Our analysis, encompassing 25 effect sizes with 16,129 participants from 11 countries and publications over 14 years, found a significant average effect size (r = .40) in the relationship between paranormal beliefs and the CKC, indicating a robust and consistent association across various populations and contexts. The study observed that contextual factors specific to data from Finland enhance the estimated magnitude of the effect size. Despite considerable heterogeneity and potential influences of unexamined moderators, the results suggest a universal cognitive pattern linking paranormal beliefs with certain types of ontological confusion. This meta-analysis underscores the need for further exploration into contextual variations in understanding the complex relationship between paranormal beliefs and ontological errors.

Research target: Psychology
Language: English
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Keywords: paranormal beliefs meta-analysisunfounded beliefscore knowledge confusionsontological confusion
Publication based on the results of:
Socio-cultural and psychological factors of integration and disintegration of Russian society in the context of global challenges (2024)
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