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Regular version of the site

Tag «research projects»

Page 1 of 115
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Illustration for news: Larger Groups of Students Use AI More Effectively in Learning

Larger Groups of Students Use AI More Effectively in Learning

Researchers at the Institute of Education and the Faculty of Economic Sciences at HSE University have studied what factors determine the success of student group projects when they are completed with the help of artificial intelligence (AI). Their findings suggest that, in addition to the knowledge level of the team members, the size of the group also plays a significant role—the larger it is, the more efficient the process becomes. The study was published in Innovations in Education and Teaching International.

Illustration for news: New Models for Studying Diseases: From Petri Dishes to Organs-on-a-Chip

New Models for Studying Diseases: From Petri Dishes to Organs-on-a-Chip

Biologists from HSE University, in collaboration with researchers from the Kulakov National Medical Research Centre for Obstetrics, Gynecology, and Perinatology, have used advanced microfluidic technologies to study preeclampsia—one of the most dangerous pregnancy complications, posing serious risks to the life and health of both mother and child. In a paper published in BioChip Journal, the researchers review modern cellular models—including advanced placenta-on-a-chip technologies—that offer deeper insights into the mechanisms of the disorder and support the development of effective treatments.

Illustration for news: Cardiogenetics of the Future: Sequencing Helps Treat Heart Disease

Cardiogenetics of the Future: Sequencing Helps Treat Heart Disease

Future cardiologists, geneticists, and IT specialists gathered at HSE University to learn how to 'read' DNA for diagnosing cardiovascular diseases. They explored modern sequencing methods and the complexities of working with digital twins of cardiac patients.

Illustration for news: Using Two Cryptocurrencies Enhances Volatility Forecasting

Using Two Cryptocurrencies Enhances Volatility Forecasting

Researchers from the HSE Faculty of Economic Sciences have found that Bitcoin price volatility can be effectively predicted using Ethereum, the second-most popular cryptocurrency. Incorporating Ethereum into a predictive model reduces the forecast error to 23%, outperforming neural networks and other complex algorithms. The article has been published in Applied Econometrics.

Illustration for news: Administrative Staff Are Crucial to University Efficiency—But Only in Teaching-Oriented Institutions

Administrative Staff Are Crucial to University Efficiency—But Only in Teaching-Oriented Institutions

An international team of researchers, including scholars from HSE University, has analysed how the number of non-academic staff affects a university’s performance. The study found that the outcome depends on the institution’s profile: in research universities, the share of administrative and support staff has no effect on efficiency, whereas in teaching-oriented universities, there is a positive correlation. The findings have been published in Applied Economics.

Illustration for news: Physicists at HSE University Reveal How Vortices Behave in Two-Dimensional Turbulence

Physicists at HSE University Reveal How Vortices Behave in Two-Dimensional Turbulence

Researchers from the Landau Institute for Theoretical Physics of the Russian Academy of Sciences and the HSE University's Faculty of Physics have discovered how external forces affect the behaviour of turbulent flows. The scientists showed that even a small external torque can stabilise the system and extend the lifetime of large vortices. These findings may improve the accuracy of models of atmospheric and oceanic circulation. The paper has been published in Physics of Fluids.

Illustration for news: ‘Why Data Analysis Is Art’: HSE University–St Petersburg Hosts International School on Statistics

‘Why Data Analysis Is Art’: HSE University–St Petersburg Hosts International School on Statistics

Why do statistical methods sometimes yield unexpected results? How does the creative approach help to process data in complex linguistic research? Is there 'a magic button' to analyse the results? The answers to these and other questions were the topic of the three-day autumn school 'Statistics in Psycho- and Neurolinguistics.'

Illustration for news: ‘Our Task Is to Promote and Popularise Native Languages’

‘Our Task Is to Promote and Popularise Native Languages’

The Centre for the Study of Native Languages at Dagestan State University (DSU) is actively engaged in researching the many languages spoken by the peoples of Dagestan. The republic has 14 official state languages, many of which have their own dialects and varieties. Scholars from Dagestan plan to adopt corpus-based methods of linguistic research used at HSE University and intend to collaborate with HSE’s Linguistic Convergence Laboratory. The HSE News Service spoke with the centre’s Director, Prof. Marina Gasanova, who is currently undertaking a research placement at HSE University.

Illustration for news: How Colour Affects Pricing: Why Art Collectors Pay More for Blue

How Colour Affects Pricing: Why Art Collectors Pay More for Blue

Economists from HSE University, St Petersburg State University, and the University of Florida have found which colours in abstract paintings increase their market value. An analysis of thousands of canvases sold at auctions revealed that buyers place a higher value on blue and favour bright, saturated palettes, while showing less appreciation for traditional colour schemes. The article has been published in Information Systems Frontiers.

Illustration for news: New Method for Describing Graphene Simplifies Analysis of Nanomaterials

New Method for Describing Graphene Simplifies Analysis of Nanomaterials

An international team, including scientists from HSE University, has proposed a new mathematical method to analyse the structure of graphene. The scientists demonstrated that the characteristics of a graphene lattice can be represented using a three-step random walk model of a particle. This approach allows the lattice to be described more quickly and without cumbersome calculations. The study has been published in Journal of Physics A: Mathematical and Theoretical.