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October 8, 2026
HSE Experts Take Part in 23rd Annual Meeting of Valdai Discussion Club
The 23rd Annual Meeting of the Valdai Discussion Club was held from September 28 to October 1, 2026 under the theme ‘Responsibility for the Future: Limits of the Possible, or Limitless Possibilities?’ The forum brought together 120 experts from 40 countries, including representatives of China, the United States, India, Brazil, the United Kingdom, Germany, Egypt, Iran, and Japan.
October 7, 2026
‘Our Team Consists of True Leaders in Their Respective Academic Disciplines
The HSE International Centre of Decision Choice and Analysis studies a wide range of methods for analysing decision-making and possible scenarios for the development of natural, socio-economic, and political phenomena using various mathematical models. The application of advanced mathematical methods to forecasting helps to prevent negative outcomes and avoid erroneous decisions. The HSE News Service spoke to the centre’s director, Prof. Fuad Aleskerov, about its work.
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.

 

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Special Issue Sensing Technology for Smart Cities: Data, Analytics, and Visualizations

Vol. 24. Issue 15. 2024.

Nowadays a huge portion of population lives in urban areas, and projections indicate that most cities are going to be confronted with a growing urban population in the next few years. This undoubtably poses new challenges that must be addressed by city councils and stakeholders to guarantee citizens’ high quality of life. Mobility, pollution, climate change, and waste management are only some of the problems that cities will face in the near future. In the context of smart cities, data produced in real-time by IoT/IoE sensors can be exploited for the development of innovative technologies based on data-driven approaches to monitor and analyze the status of the urban area, perform predictions and evaluations of specific scenarios, and give instruments to stakeholders to visualize and measure the impact of new policies aimed at promoting a green, sustainable, inclusive, and smart urban development.

This Special Issue therefore aims to put together original research and review articles on recent advances, technologies, solutions, and applications addressing urban development in the context of smart cities.

Potential topics include but are not limited to:

  • IoT/IoE sensors data acquisition and management;
  • Distributed sensing and computation;
  • IoT platforms;
  • Knowledge bases of urban data;
  • Data analytics for predictions and simulations;
  • Development of tools for dashboard construction;
  • Smart city digital twins;
  • Evaluation studies and datasets for smart cities;
  • Data security and privacy;
  • Smart mobility and transportation;
  • Environmental monitoring technologies;
  • Smart waste management.
Chapters
Data Analytics for Predicting Situational Developments in Smart Cities: Assessing User Perceptions
Kharlamov A. A., Pilgun M., , in: Special Issue Sensing Technology for Smart Cities: Data, Analytics, and VisualizationsVol. 24. Issue 15.: [б.и.], 2024.
The analysis of large volumes of data collected from heterogeneous sources is increasingly important for the development of megacities, the advancement of smart city technologies, and ensuring a high quality of life for citizens. This study aimed to develop algorithms for analyzing and interpreting social media data to assess citizens’ opinions in real time and ...
Added: February 22, 2026
Research target: Computer Science
Language: English
Text on another site
Keywords: big dataknowledge engineeringdata analyticsDigital TwindashboardIoT/IoE
Special Issue Sensing Technology for Smart Cities: Data, Analytics, and Visualizations
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