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September 11, 2026
How to Assess Students Knowledge in the Age of AI
A researcher at HSE University has proposed a flowchart to help lecturers decide how to assess students who use artificial intelligence. It shows where the use of AI should be restricted and where it can be incorporated into the learning process. The article has been published in IT Professional.
September 9, 2026
‘Balkan Hospitality Opens Doors: Studying Dialects on the Verge of Extinction
You cannot study spoken dialects from books. Instead, you need to go to a village, seek out its elders, and earn the trust of local residents before you can record hours of spontaneous stories. This is how Natalia Muravleva, Associate Professor at the Faculty of Humanities, conducts her research. Her internship in Serbia continued her long-standing study of dialects spoken by Macedonian settlers. In this interview, she discusses how diaspora cultural centres help researchers reach informants, why native speakers need to be interviewed only in their own language (otherwise, as she puts it, they may 'break'), and how a single field season helped her finalise her monograph. She also shares warm memories of autumn in Belgrade and of colleagues with whom grammar can be discussed in three languages at once.
September 9, 2026
Scientists Train Neural Network to Generate Process Plans from 3D Models
Researchers at the HSE FCS AI and Digital Science Institute have developed CAD2TechSpec, a framework that converts 3D models of mechanical parts into machining process plans—step-by-step instructions for machine tools. The solution aims to reduce the time required for the design and preparation of technical process documentation in mechanical engineering, aircraft manufacturing, and other high-tech industries. The study findings have been published in PeerJ Computer Science.

 

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APC-моделирование связи коэффициентов рождаемости по очередности рождения с экономическими шоками в России

Журнал Новой экономической ассоциации. 2024. № 3(64). С. 84–102.
Vakulenko E., Рыжкина А. Е.

The article is devoted to the study of the relationship between economic shocks and the fertility rate of first, second and third children in Russia using Age-Period-Cohort (APC) models. There were considered annual data for 39 regions of the Russian Federation for the period from 2004 to 2021, the sources were Rosstat and the Russian Database of Fertility and Mortality CDR NES. In this work, for the first time, the most advanced APC modeling method is used on Russian data - an approach based on mechanisms of interaction between variables (Mechanism-based approach), the implementation of which is carried out using intermediate variables (mediators) to identify the effects of age, period and cohort in dynamics of fertility and identifying causal relationships. As such mediators for the cohort effect, the ratio of marriages and divorces was used, for the last period effect (a year earlier) - the unemployment rate (total, male and female), as well as an intermediate mediator of the year before last period effect - investment in fixed capital. In addition, we assessed the impact on fertility of proxy variables of the last period effect: federal and regional maternity capital programs, as well as oil and gas revenues of the federal budget. To check the stability of the results Intrinsic Estimator method was used, which allows us to decompose the fertility indicator into the effects of age, period and cohort. The results of the study showed that there is a direct relationship between the fertility rate of children of the considered orders and economic shocks that correspond to the last and year before last period effects.

Research target: Economics and Management
Language: Russian
Full text
DOI
Keywords: рождаемостьнефтегазовые доходыfertilityматеринский капиталуровень безработицыunemployment ratematernity capitaloil and gas revenuesbirth order of childrennegative economic shocksAPC modelingпорядок рождений детейотрицательные экономические шокиAPC-моделирование
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