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News
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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Social Origins Theory: Untapped Potential and the Test by the Pandemic Crisis

Nonprofit Policy Forum. 2023. Vol. 14. No. 4. P. 317–344.
Benevolenski V., Natalya Ivanova, Lev Jakobson

The paper examines the explanatory potential of the social origins theory advanced by L. Salamon and H. Anheier. This examination follows two tracks. The first track is a comparative investigation of the conceptual affinity between the social origins, on one hand, and the theories of welfare regimes and varieties of capitalism, on the other. We argue that the conceptual affinity between these three theories lies in the fact that they explore what could be referred to as vertical and horizontal interactions between state and market. Vertical interactions are based on the legitimate coercion by government authorities, while horizontal relations develop at the initiative of their autonomous members. The social origins approach introduces yet another essential dimension, that of civic self-organization, into the analysis of vertical and horizontal interactions embodied in state/market relationships. Similarity of underlying conceptual foundations might suggest that all three theories would generate similarly strong academic interest in reexamining their analytical tools and applying their approaches to the diversity of new social and economic realities. The literature indicates that both the welfare regimes and varieties of capitalism have generated robust academic discussions, whereas the conceptual and analytical potential of the social origins remains relatively less explored. It has become particularly evident in the context of the COVID-19 pandemic which gave rise to a number of studies that apply the frameworks of the welfare regimes and varieties of capitalism to examine cross-country differences in government social welfare policies. However, the social origins theory seems not to have generated comparably rich research testing its explanatory power in the new conditions triggered by the pandemic challenges. To address this gap, the paper follows a second track which investigates pandemic-induced transformations in nonprofit sectors of Germany, Austria, UK and USA – countries representing three “basic” nonprofit regimes immediately corresponding to Esping-Andersen’s welfare state typology: welfare partnership, social democratic and liberal. Applying the analytical lens of the social origins approach, we look at how the impact of the pandemic moved the measurable parameters of nonprofit sectors: the scope of the third sector, the volunteer share of the workforce, the extent of nonprofits’ engagement in the provision of social services, and the share of government financial support for the sector. We further look at the pandemic-induced changes in the composition of the “tool kit” employed in government-nonprofit cooperation. Thus, testing the explanatory potential of the social origins approach, we observe that responses to pandemic challenges have contributed to a degree of convergence of both liberal and social democratic nonprofit regimes with the welfare partnership pattern. However, path dependency, which is suggested by the regimes’ “moorings” embedded in the social origins approach, remains strong enough to explain the observed viability of the core features typical of “basic” nonprofit regimes in times of the pandemic crisis.

Research target: Economics and Management
Language: English
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Keywords: nonprofit sectorpandemicsocial origins theory welfare regimes varieties of capitalismnonprofit regimes
Publication based on the results of:
Self-Organization of Citizens in the Context of Large-Scale Economic and Social Transformation (2023)
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