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October 6, 2026
International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod Brings Together Scientists from Russia and Serbia
The International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod’ was held at the Nizhny Novgorod House of Scientists from September 23 to 26. The event was organised by HSE University–Nizhny Novgorod and the Nizhny Novgorod House of Scientists, with the participation of Sberbank and the Institute of Physics Belgrade. The symposium was held for the second time: the first conference took place in 2025 and attracted considerable interest from the academic community.
October 5, 2026
‘The Climate Transition Is Not Necessarily a Limitation for Business
Linara Khadimullina works in the field of low-carbon development. In an interview with the Young Scientists of HSE project, she spoke about why nature is not just a beautiful backdrop, her research on the role of sustainable corporate governance in reducing greenhouse gas emissions, and growing plants as a source of inspiration.
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In late September, HSE University hosted a roundtable discussion titled Civil Society in African Countries and Youth Participation in Public Diplomacy. Representatives of non-governmental organisations from Ghana, Ethiopia, and Russia, along with students from HSE University’s Bachelor’s Programme in Public Administration, discussed how young people without official diplomatic status can influence relations between countries and how the nonprofit sector can remain sustainable amid declining grant funding.

 

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Субъективное благополучие сельских жителей в России: факторы и их значимость

Экономическая социология. 2023. Т. 24. № 1. С. 71–105.
Saraikin V., Nikulina Y., Yanbykh R.

The traditional policy of rural development in Russia has focused on bridging the gap between urban and rural areas by improving infrastructure and settlements in rural areas, but has not taken into account the perspectives and priorities of rural dwellers regarding their lives. Using data from The Russia Longitudinal Monitoring Survey from 2012 to 2019, this study seeks to understand rural residents’ priorities for rural development by analyzing their assessments of their own wellbeing and the factors that influence it. The study uses data discrimination form factor analysis to obtain multicomponent regressors; a logit model is constructed to determine the significance of selected factors. The study finds that factors such as health, education, person's economic condition, and availability of utilities in the house have a significant positive impact on rural residents’ life satisfaction. However, the most dominant factor is “job satisfaction”, which includes the attitude of rural residents to (1) pay and working conditions and (2) opportunities for professional growth. The study also finds, unexpectedly, a nonlinear impact of economic condition on life satisfaction in rural areas, and a decrease in income returns. Additionally, the study identifies a group of rural residents who despite having minimal material goods, evaluate their lives as quite satisfactory. The study concludes by suggesting adjustments to the funding structure of the State Program “Integrated Rural Development” by increasing funding for measures to promote rural employment and expanding the focus to the non-agricultural sector of the rural economy.

Research target: Economics and Management Sociology (including Demography and Anthropology Social and Economic Geography (including Urban and Transportation Studies)
Language: Russian
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Keywords: факторный анализсубъективное благополучиеFactor analysisRural territoriessubjective wellbeingсельские территории
Publication based on the results of:
Пространственный анализ как ключевой инструмент управления сельским развитием в регионе: принципы, методы, практические рекомендации (2024)
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