RTU MIREA and Center for the Study and Network Monitoring of the Youth Environment signed a Cooperation Agreement

22.07.2021

On July 22, Denis Zavarzin, Head of the Center for the Study and Network Monitoring of the Youth Environment and Stanislav Kudzh, Rector of MIREA – Russian Technological University, signed an agreement on joint research and personnel training for the digital economy of the Russian Federation.

The document provides for the interaction in the development of educational activities which will allow to solve the problems of training professional personnel in machine learning, information technology and applied mathematics.

The signing of the Agreement also resulted in the creation of a joint Center for Cyberpsychology and Applied Big Data Analysis at the Institute of Information Technologies. Employees of the Center for the Study and Network Monitoring of the Youth Environment will start teaching classes in Artificial Intelligence at the Institute of Information Technologies of RTU MIREA as early as September of the next academic year.

“Technologies of artificial intelligence and the analysis of big data are increasingly applied in solving related problems for various areas and sectors of the national economy of Russia. The training of qualified specialists in modern digital and information technologies must necessarily include adequate training courses. In this area, RTU MIREA effectively interacts not only with the international leaders: SAS, Huawei, Samsung Electronics and others, but also constantly expands the pool of domestic partner enterprises,” said Stanislav Kudzh, Rector of RTU MIREA.

The Center for the Study and Network Monitoring of the Youth Environment is an organization with unique experience and methodological basis for the intellectual analysis of large volumes of text, sound and graphic information.

Research dealing with characteristics of human behavior in the digital space will be a unique area of cooperation between the Center and RTU MIREA. Researchers will find out how Internet users react to different types of content, in what way it is possible to determine psychological personality characteristics on a digital footprint, and also study the patterns of information communication in social media.


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