In Assessing Motivation, Rating Scales Are Far from the Best Choice
Researchers from HSE University and the Pushkin Institute have demonstrated that pairwise comparisons work better than rating scales for measuring motivation. The reason is that many people cannot rank their motives in a hierarchical fashion. The study findings are published in Frontiers in Psychology.
Physical Activity Found to Increase Life Satisfaction in Young Russians
Assistant Professor of the HSE Faculty of Economic Sciences Natalia Khorkina and Master's student in Economics Valeria Gritchina examined the relationship between physical activity and life satisfaction among young Russians aged 16 to 25 to gain a better understanding of the role exercise can play in young adults' subjective well-being. The researchers found that being physically active tends to contribute to a positive outlook on life, but mainly for men.
From Chelyabinsk to Krasnodar: 56 Postdocs From Across Russia Join HSE University This Year
A total of 56 early-career researchers will join HSE University in Moscow and St Petersburg in the 2022/2023 academic year as part of the university’s Russian Postdoctoral Fellowship Programme. Some are participating in the programme for the first time, while others are returning for their second year. HSE University in Moscow has welcomed 29 new researchers to its departments.
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‘We Managed to Bring Together Specialists in AI, Pure Mathematics, and Neurobiology’
In early September, the HSE University Faculty of Computer Science hosted the international conference Computer Methods of Cognitome Analysis. The event was organised by the International Laboratory of Algebraic Topology and Its Applications at the faculty.
Brain Found to Simultaneously Process Linguistic and Extralinguistic Information
An international team of scientists from the UK, Spain, Denmark and Russia (including researchers from the HSE Institute for Cognitive Neuroscience) conducted an experiment demonstrating that people automatically integrate extralinguistic information into grammatical processing during verbal communication. The study findings were published in the Scientific Reports Journal.
AI Worse at Recognizing Images than Humans
Researchers from HSE University and Moscow Polytechnic University have discovered that AI models are unable to represent features of human vision due to a lack of tight coupling with the respective physiology, so they are worse at recognizing images. The results of the study were published in the Proceedings of the Seventh International Congress on Information and Communication Technology.
UNESCO Chair on Future Studies Opens at HSE University
In 2022, a HSE University department joined the ranks of UNESCO Futures Literacy Chairs. This builds on the work of the ISSEK International Research and Educational Foresight Centre, and the activity of the Human Capital Multidisciplinary Research Centre. Professor Alexander Sokolov, head of the new department, Director of the International Research and Educational Foresight Centre, and Deputy Director of HSE ISSEK, spoke about the establishment, aims and objectives of the UNESCO Chair on Future Studies.
‘The Issue of Student Housing Can Be Considered Resolved at HSE University’
HSE University experts took part in ‘Rental Housing—Development Opportunities’, a session at the Eastern Economic Forum in Vladivostok, Russia. They discussed how to create a transparent rental housing market and talked about the system of rental housing for HSE students.
EEF-2022: Asian Countries in the Arctic Dialogue
The Eastern Economic Forum took place place in Vladivostok. The participants of the ‘Eastern Dimension of International Cooperation in the Arctic’ session stated that joint research will help to find mutual understanding between the circumpolar states and the countries of the Asia-Pacific region. HSE News Service covers some sessions in which experts from HSE University took part.
Machine Learning Helps Improve Perovskite Solar Cells
A team of researchers from HSE MIEM, LPI RAS, and the University of Southern California have applied machine learning to the analysis of internal defects in perovskite solar cells and proposed ways to improve their energy efficiency. The findings of the study performed on the Cs2AgBiBr6 double perovskite can be used to develop more efficient and durable perovskite-based materials. The paper has been published in the Journal of Physical Chemistry Letters.
Applications for participation can be submitted until June 20, 2024