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Subject
News
September 17, 2026
'I Wish That People Would Place Greater Trust in Science'
When Tatiana Eremicheva chose Fundamental and Computational Linguistics as her field of study, she thought it would be about learning languages. Instead, she discovered it was about helping people. In this interview for the HSE Young Scientists project, she discusses science as a way of understanding the world, billiards as a team-building activity, and why learning to read is not always as easy as it seems.
September 15, 2026
Immunity to Chaos: How Personal Resources Help Us Cope with the Challenges of a Turbulent World
International conflicts, crises and digital overload—the modern world puts our minds to the test every day. Traditional psychology often focuses on the consequences: anxiety, depression, and psychosomatic disorders. But what if we looked at the problem differently—through the lens of the resources that prevent us from breaking down? Psychological immunity is precisely this set of resources. Alena Zolotareva and her group, Psychological Immunity as a Resource for Positive Functioning, are developing an integrative model of this phenomenon, adapting diagnostic tools and preparing for large-scale empirical research. Why do psychologists need to collaborate with medical professionals, and how could their research transform preventive care in clinics and corporations?
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.

 

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Artificial Intelligence Enabled Real Time Environmental Monitoring

Springer, 2026.
Under the general editorship: B. Thokchom, R. Kaur, P. Singh, P. Qiu

This book highlights the significance and necessity of artificial intelligence based techniques and devices for different environmental sectors. With the recent advancements in technology, artificial intelligence and IOT based devices have drawn the attention of researchers and industries for its applications in various sectors. This book provides the coverage to various applications of environmental sectors such as air and water quality monitoring, waste management, disaster management, sustainable agriculture, urban planning and building smart cities, climate change prediction, etc. It also covers the opportunities and challenges for inclusion of AI in environmental applications and the related ethical implications of it.  This book may be of interest to researchers, academicians, environmentalists, climate change scientists, industrialists, and policymakers. It may also serve as additional reading material for undergraduate and graduate students of environmental sciences, artificial intelligence and modeling, etc. 

Chapters
Artificial Intelligence and Environmental Decision Support Systems
Daria Gribkova, Milshina Y., , in: Artificial Intelligence Enabled Real Time Environmental Monitoring.: Springer, 2026. P. 231–252.
The environment, as a dynamic system influenced by anthropogenic factors, requires evidence-based decision-making to ensure sustainable resource management and mitigate adverse effects. This chapter explores the transformative role of artificial intelligence (AI) in environmental decision support systems (EDSS), focusing on its potential to address complex environmental challenges. EDSS, characterized by their interactivity and ability to ...
Added: January 12, 2026
Artificial Intelligence for Urban Planning and Building Smart Cities
Demekhina A., Milshina Y., , in: Artificial Intelligence Enabled Real Time Environmental Monitoring.: Springer, 2026. P. 253–281.
Added: January 13, 2026
Challenges and Risks to the Inclusion of AI for Environmental Applications
Aleksandrova I., Milshina Y., , in: Artificial Intelligence Enabled Real Time Environmental Monitoring.: Springer, 2026. Ch. 10 P. 199–229.
Artificial intelligence is increasingly becoming a valuable tool in environmental science, providing significant benefits in the processing of high-volume datasets, improving predictive models, and better enabling the efficient monitoring of ecosystems. Its ability to identify patterns, automate tedious tasks, and facilitate data-driven decision-making makes it of extreme value in tackling climate change, biodiversity loss, and ...
Added: January 19, 2026
Research target: Economics and Management
Language: English
DOI
Text on another site
Keywords: Artificial IntelligenceFabrication of monitoring systemEnvironmental monitoringEnvironmental applicationSensor device
Artificial Intelligence Enabled Real Time Environmental Monitoring
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