Tag "Priority 2030"

Diaries and letters are an invaluable resource for humanities scholars. But what can be done when the text is impossible to read? At the HSE Faculty of Humanities, this challenge has been translated into the language of mathematics: a team of philologists, historians, and machine learning specialists has created an information system that not only recognises illegible handwriting but also helps analyse archival content.

Researchers at the HSE Faculty of Computer Science benchmarked more than 200,000 model configurations for predicting financial asset prices and realised volatility, showing that performance can be improved by filtering out noise at specific frequencies in advance. This technique increased accuracy in 65% of cases. The authors also developed their own algorithm, which achieves accuracy comparable to that of the best models while requiring less computational power. The study has been published in Applied Soft Computing.

Experts from the HSE Institute for Statistical Studies and Economics of Knowledge have examined industrial PhD programmes across 19 countries worldwide. The analysis shows that the key components of an effective model include co-funding by universities, industry, and government; dual academic supervision; and flexible intellectual property arrangements. The findings have been published in Foresight and STI Governance.

By 2030, the global education system will need 44 million new teachers. Schools have already started rehiring retired teachers and issuing licenses for accelerated programmes. Experts from the HSE University Institute of Education have analysed the educational policies of almost 50 countries and published the report ‘World Education Policy—2025.’

HSE University experts have analysed students’ digital footprints and shown for the first time that final grades depend on one’s personal approach to an online course. Balanced students have proven to be more successful than those who follow a more traditional and practical approach. The findings from this study will help create a more adaptive and personalised educational system. This research has been published in the journal The Internet and Higher Education.

The International Laboratory of Quantum Optoelectronics at HSE University–St Petersburg develops semiconductor microlasers. The components and systems created by the laboratory also enable high-speed data transmission and processing. Natalia Kryzhanovskaya, Head of the Laboratory and Doctor of Sciences in Physics and Mathematics, spoke with the HSE News Service about the laboratory’s research areas and future prospects.

HSE researchers have developed an MLOps platform called SmartMLOps. It has been created for artificial intelligence researchers who wish to transform their invention into a fully-fledged service. In the future, the platform may host AI assistants to simplify educational processes, provide medical support, offer consultations, and solve a wide range of other tasks. Creators of AI technologies will be able to obtain a ready-to-use service within just a few hours. Utilising HSE’s supercomputer, the service can be launched in just a few clicks.

A research team at HSE University has developed EyeFeatures, a Python library for analysing and modelling eye movement data. This tool is designed to simplify the work of scientists and developers by enabling them to efficiently process complex data and create predictive models.

In the context of increasing global competition, countries arestriving to ensure technological sovereignty. Those who can ensure economic development and concentrate intangible assets and human capital are emerging as leaders. The growing demand for qualified staff leads to an increase in the role of universities and the demand for early-career scientists. The challenges and opportunities for prospective specialists in the scientific community were discussed at the ‘StratPro Platform’ strategic session at HSE University.

A team of researchers at HSE University investigated the neural mechanisms involved in how the brain processes persuasive messages. Using functional MRI, the researchers recorded how the participants' brains reacted to expert arguments about the harmful health effects of sugar consumption. The findings revealed that all unpersuaded individuals' brains responded to the messages in a similar manner, whereas each persuaded individual produced a unique neural response. This suggests that successful persuasive messages influence opinions in a highly individual manner, appearing to find a unique key to each person's brain. The study findings have been published in PNAS.