Research & Expertise

Often, individuals with neurological or mental disorders exhibit distinctive language patterns. In modern clinical practice, digital tools can play a significant role in supporting language therapy and rehabilitation for persons with language disorders. Additionally, in the future, digital tools could assist healthcare specialists in assessing the severity of symptoms associated with such disorders.

Researchers at HSE University have developed a machine learning (ML) model capable of predicting the risk of complications—major adverse cardiac events—in patients following a myocardial infarction. For the first time, the model incorporates genetic data, enabling a more accurate assessment of the risk of long-term complications. The study has been published in Frontiers in Medicine.

A team of researchers at the HSE AI Research Centre has created an index to evaluate the ethical standards of artificial intelligence (AI) systems used in medicine. This tool is designed to minimise potential risks and promote safer development and implementation of AI technologies in medical practice.

Researchers at HSE University have proposed a novel approach to assessing AI's competency in educational settings. The approach is grounded in psychometric principles and has been empirically tested using the GPT-4 model. This marks the first step in evaluating the true readiness of generative models to serve as assistants for teachers or students. The results have been published in arXiv.

On November 8, HSE University hosted the Republic of Scientists Festival for the seventh time. The event aims to remind students that science is multifaceted and universal, to showcase areas of knowledge beyond their educational curriculum, and to connect early-career scientists with one another. Guests of the festival enjoyed interactive activities, popular science lectures by university faculty and alumni, and the grand finale of Season VII of Science Battles.

What is essential for managing ESG risks effectively — specific talents, a variety of experiences, or academic knowledge? In the light of the ESG transition, which aspects of corporate governance should analysts and investors focus on? A recent study by researchers from the School of Finance addresses these questions.

The population of African countries is growing so fast that the continent is likely to play a significant role in global development. However, the socio-economic situation in African States remains dramatic. Access to high-quality education, the development of science and high technologies are crucial in addressing these challenges. Professor Alexander Sokolov, Head of the UNESCO Chair on Future Studies at HSE University, spoke at the International Forum of UNESCO Chairs and Partners ‘Transforming Knowledge for Africa’s Future.’ The event took place in Addis Ababa, Ethiopia.

Federico Gallo is a Research Fellow at the Centre for Cognition and Decision Making of the HSE Institute for Cognitive Research. In 2023, he won the Award for Special Achievements in Career and Public Life Among Foreign Alumni of HSE University. In this interview, Federico discusses how he entered science and why he chose to stay, and shares a secret to effective protection against cognitive decline in old age.

Researchers at the HSE AI Research Centre and Sber AI Lab have developed a special system that, using large language models, will make artificial intelligence (AI) more emotional when communicating with a person. Multi-agent models, which are gaining popularity, will be engaged in the synthesis of AI emotions. The article on this conducted research was published as part of the International Joint Conference on Artificial Intelligence (IJCAI) 2024.

Researchers at HSE University have developed a set of mathematical models to predict the impact of nuclear power on the Sustainable Development Index. If the share of nuclear power in the global energy mix increases to between 20% and 25%, the global Sustainable Development Index (SDI) is projected to grow by one-third by 2050. In scenarios where the share of nuclear power grows more slowly, the increase in the SDI is found to be lower. The study has been published in Nuclear Energy and Technology.