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September 25, 2026
AI Users Earn Up to 41.8% More Than Non-Users
Research conducted by economists at HSE University has revealed a significant correlation between the regular use of GenAI in the workplace and higher pay among Russian employees. The study found that individuals who frequently use GenAI in their professional activities earn notably more than those who reject these new tools or resort to them occasionally. The salary premium for highly qualified specialists reaches 41.8%. The article was published in the Voprosy Ekonomiki journal.
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A researcher at HSE University analysed data on 1,539 doctoral students from 161 Russian universities to identify which features of a thesis topic are associated with academic success and engagement. The most important factor was found to be personal interest in the research topic, which was associated with almost all key aspects of doctoral programme experience—from engaging with the academic supervisor to research activity and confidence about successfully defending the thesis. The findings have been published in Higher Education.

 

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Measuring Respondents’ Cognitive Load Related to Making Factual and Normative Judgments

Monitoring Obshchestvennogo Mneniya: Ekonomichekie i Sotsial'nye Peremeny. 2022. No. 6. P. 291–308.
Deviatko I. F., Byzov A.

The use of various methods for measuring cognitive load and mental effort in recent years has become increasingly popular in various fields of social and affective neuroscience, in applied research on the comparative effectiveness of teaching methods and training platforms, in the study of the distribution of attention in solving various problems and using informational tips in decision making, etc. In this broader context, the specific request for a multimodal assessment of the cognitive load of interviewers and respondents and of its impact on the quality of the survey data, including the use of paradata and webcams for this purpose, has been also growing recently. We conducted a within-subject methodological experiment (N = 50) aiming at comparative measurement of task-evoked cognitive load of respondents related to two tasks of making factual and normative judgments. The first task implied making causal and blame judgments for two institutional domains (medical, work dress-code) using the similar factorial vignettes, while the second task presupposed making lay factual and normative-deontic judgments concerning migrant rights to free health care. We used in parallel two measures of task-evoked cognitive load – pupillometry (Pupil Lab glasses), and the Paas scale of mental effort. The results provide limited evidence in support of the difference that exists between ordinary judgments of cause, blame, and severity of harm in terms of their propensity to evoke psychosensory pupillary response and subjectively perceived mental effort, both reflecting the variability in the cognitive load imposed on survey respondent when performing a pertinent survey task. We also briefly discuss the evidence obtained in support of the task-specific difference in sensitivity and validity of neurophysiological and self-report-based measures of survey-related cognitive load.

Research target: Sociology (including Demography and Anthropology
Language: English
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Keywords: cognitive loadкогнитивная нагрузкаmental effortfactual judgementsnormative judgementsvignette experimentумственное усилиефактические суждениянормативные сужденияфакторный эксперимент с виньетками
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