Many early-career scientists continue their academic careers at the same university where they studied, a practice known as academic inbreeding. A researcher at the HSE Institute of Education analysed the impact of academic inbreeding on publication activity in the natural sciences and mathematics. The study found that the impact is ambiguous and depends on various factors, including the university's geographical location, its financial resources, and the state of the regional academic employment market. A paper with the study findings has been published in Research Policy.

The annual Vysokovsky Forum, organised by the Faculty of Urban and Regional Development, was held at HSE University. Officials, business representatives, teachers, and experts gathered to discuss whether development projects should be adapted to residents' needs, whether New Moscow could become a new centre of attraction, and what benefits HSE will gain from launching a new academic department in partnership with A101 Group.

Researchers at HSE University and the AIRI Institute have proposed a method for quickly fine-tuning neural networks. Their approach involves processing data in groups and then optimally shuffling these groups to improve their interactions. The method outperforms alternatives in image generation and analysis, as well as in fine-tuning text models, all while requiring less memory and training time. The results have been presented at the NeurIPS 2024 Conference.