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Regular version of the site

Research & Expertise news at HSE University

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Illustration for news: LFE-ICEF International Finance Conference: Exchanging Ideas and Building Networks

LFE-ICEF International Finance Conference: Exchanging Ideas and Building Networks

On November 22, 2024, the International Laboratory of Financial Economics (LFE, ICEF HSE) hosted the 13th International Moscow Finance Conference, bringing together researchers and experts from various countries to discuss current issues in financial economics. In his welcoming speech, Vladimir Sokolov, Head of the Laboratory, emphasised the significance of financial market research for the global economy.

Illustration for news: Ancient Egyptians Were Less Afraid of Death Than Commonly Believed

Ancient Egyptians Were Less Afraid of Death Than Commonly Believed

Ekaterina Alexandrova, Academic Supervisor of the Egyptology programme at HSE University, has studied the funerary practices of ancient Egyptians based on religious texts and the works of Egyptologists from the 19th, 20th, and 21st centuries. Traditionally, it was believed that Egyptian religion was built solely on the fear of death. However, an analysis of texts reveals that ancient Egyptian beliefs were not merely reflections of a fear of death, but a complex system aimed at preserving order and stability both in life and the afterlife. The study has been published in the journal Shagi/Steps.

Illustration for news: Find Work with Help from an Algorithm: HSE Introduces ‘Jobs and Skills Navigator’

Find Work with Help from an Algorithm: HSE Introduces ‘Jobs and Skills Navigator’

Researchers from HSE University have introduced a new tool to assist in building career paths and navigating today’s job market—the Jobs and Skills Navigator. This service algorithmically ranks available vacancies and the corresponding professional skills in the context of current labour market requirements. It aims to simplify the identification of competencies needed for mastering a new profession and streamline interactions between employers and job seekers.

Illustration for news: Bringing Maths and Philosophy Together: Russian-Brazilian Project Explores Logical Pluralism

Bringing Maths and Philosophy Together: Russian-Brazilian Project Explores Logical Pluralism

In late October and early November, HSE University hosted the Autumn School on ‘Logic and Formal Philosophy’ and a conference on logical pluralism as part of a collaborative project uniting Russian and Brazilian philosopher-logicians and mathematician-logicians. The project’s leaders and participants, Elena Dragalina-Chernaya, Itala Loffredo D'Ottaviano, Marcelo Esteban Coniglio, and Evandro Luis Gomes, shared their insights about the initiative.

Illustration for news: Esports Players Play Better Online

Esports Players Play Better Online

In competitions, esports players, like other athletes, face stress and show worse results due to pressure. A substantial decrease takes place in the performance of esports players during overtime. This effect, however, is significantly mitigated in online competitions compared to live events—the difference can reach 30%. A study by a team of authors from HSE University’s Moscow and Perm campuses and European University Viadrina (Germany) explores the phenomenon of choking under pressure within the context of esports. The study was published in the Journal of Economic Behavior & Organization.

Illustration for news: (Ab)normal Language: HSE Researchers Present Digital Tools for Assessing Mental Health Problems

(Ab)normal Language: HSE Researchers Present Digital Tools for Assessing Mental Health Problems

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.

Illustration for news: Analysing Genetic Information Can Help Prevent Complications after Myocardial Infarction

Analysing Genetic Information Can Help Prevent Complications after Myocardial Infarction

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.

Illustration for news: A New Tool Designed to Assess AI Ethics in Medicine Developed at HSE University

A New Tool Designed to Assess AI Ethics in Medicine Developed at HSE University

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.

Illustration for news: ‘It Is Hard to Imagine High-Level Interpretation Being Entrusted to a Machine’

‘It Is Hard to Imagine High-Level Interpretation Being Entrusted to a Machine’

In 2024, Russia chairs BRICS, an international organisation comprising nine countries. Throughout the year, dozens of forums, working group meetings, and BRICS sessions took place across various Russian cities. As an interpreter, Ksenia Prosyukova, Associate Professor at the HSE School of Foreign Languages and Candidate of Science (PhD) in Pedagogy, participated in several BRICS events. In an interview, she discussed the personal responsibility of working at high-level events, the challenges and prospects of her profession, and how HSE University trains in-demand translators.

Illustration for news: HSE Researchers Develop Novel Approach to Evaluating AI Applications in Education

HSE Researchers Develop Novel Approach to Evaluating AI Applications in Education

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.