Applying of the Classifications Trees Method in Forecasting of Risk Groups of Intolerant Behavior

Vicentiy, I. V.; Eliseev, Sergey; Vicentiy, A. V.

doi:10.1007/978-3-319-67621-0_32

Cited by 3 publications

(1 citation statement)

References 4 publications

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“…2. development of a program for conducting empirical online research, including a theoretical interpretation and operationalization of the concept of "extremist attitudes of youth"; definition of a set of basic empirical sociological indicators; selection and justification of digital methods for the collection, processing and analysis of primary sociological data [20];…”

Section: The Results Of the Studymentioning

confidence: 99%

Development of conceptual model for digital monitoring of extremist attitudes and identification of risk groups in the youth environment

Vicentiy¹,

Popova²,

Eliseev³

2019

Proceedings of the International Scientific and Practical Conference on Digital Economy (ISCDE 2019)

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The relevance of the study is determined by the growth of international terrorism and extremism in recent decades. With the growing dynamics of social change, it is important to quickly respond to both positive and negative changes. In a postindustrial society, the most important issue is the speed of decision making. Monitoring of important changes in society can partially solve this problem. Monitoring of social attitudes allows to identify risk groups by identifying extremist attitudes to prevent the further spread of extremist ideology among young people in the early stages of its development. In the course of the project implementation, the approved scientific and methodological support and tools for sociological monitoring of extremist attitudes and identification of extremist behavior risk groups among young people will be obtained. This scientific and methodological support and tools will be used for early diagnosis and prevention of extremism. The scientific novelty of the project is to develop a new approach to the prevention of extremism among young people, which, unlike the existing approaches, emphasizes the prevention of the spread of extremism at the early stages of its development. The study has a high scientific and practical significance, as it allows to get ready-to-use scientific and methodological support for the sociological monitoring of extremist attitudes among young people for political decision-making processes in the field of improving youth and anti-extremist policies. The paper describes the result of developing a conceptual model of digital monitoring of extremist attitudes and identifying risk groups in the youth environment. A conceptual model can be represented in the form of a scheme that includes four interconnected modules: a theoretical and methodological module, a methodical module, an empirical module, and an analytical module. Four stages of monitoring are described, and the main activities at each stage and their main results are highlighted. The basic elements that constitute the scientific and methodological support of sociological monitoring of extremist attitudes and the identification of risk groups in the youth environment are described. Expected results of the study are formulated and substantiation of their scientific significance in theoretical and applied terms is given.

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Section: The Results Of the Studymentioning

confidence: 99%

Development of conceptual model for digital monitoring of extremist attitudes and identification of risk groups in the youth environment

Vicentiy¹,

Popova²,

Eliseev³

2019

Proceedings of the International Scientific and Practical Conference on Digital Economy (ISCDE 2019)

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Development of concept and methods for identifying and analyzing sociocultural factors in the context of the digital transformation of the economy

Glukhov

Vicentiy

2022

IOP Conf. Ser.: Earth Environ. Sci.

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To ensure effective interaction, including cross-border interaction, of business, the state and citizens, knowledge and compliance with only formal, documented rules are often not enough. Significant impact on the success of cooperation, especially cross-border, has the ability of counterparties to take into account the socio-cultural characteristics of the other side. Based on the fact that the digital economy is a system of economic, social and cultural relations based on the use of digital information and communication technologies, formalizing the components of this system and developing mechanisms for their assessment is an urgent task. The aim of our work is to develop a concept and methods for identifying and analyzing sociocultural factors in the context of the digital transformation of the economy. The scientific novelty of the work lies in the integrated use of methods of semantic analysis of texts, case analysis, conceptual modeling, big data analysis and artificial intelligence for a formal description and analysis of the essence of socio-cultural differences that are potentially significant for the implementation of cross-border economic interaction. The practical significance of the results of the work is related to the elimination of existing obstacles and limitations for the creation and development of cross-border businesses related to cultural differences of contractors.

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Development of methods and tools to support regional management in the Arctic zone of the Russian Federation based on cognitive interfaces

Vicentiy

2019

IOP Conf. Ser.: Earth Environ. Sci.

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This article discusses the creation of methods and tools for decision-making information support for regional management systems in the context of ensuring environmental and technological security in the Arctic region. To implement information support for regional management, we propose to use information technology for spatial data visualization. This technology is used to synthesize cognitive interfaces of multi-subject information systems supporting regional management in the Arctic zone of the Russian Federation. The article describes the methodological support, composition and structure of information technology to identify implicit conflicts of environmental management based on the use of methods of conceptual and ontological modeling of the subject area, system analysis and theory of management of complex systems. The key elements of the technology are the conceptual model of the conflict situation of environmental management, the ontology of the subject area, the knowledge base and the cognitive user interface of the multi-subject information regional management support system for the Arctic territories. A brief classification of conflicts among the stakeholders of the Arctic region (using the example of the Murmansk region) is also described. The proposed technology allows to identify potential conflicts of environmental management, including the detection and identification of environmental and technological safety problems in the Arctic regions of the Russian Federation.

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Applying of the Classifications Trees Method in Forecasting of Risk Groups of Intolerant Behavior

Cited by 3 publications

References 4 publications

Development of conceptual model for digital monitoring of extremist attitudes and identification of risk groups in the youth environment

Development of conceptual model for digital monitoring of extremist attitudes and identification of risk groups in the youth environment

Development of concept and methods for identifying and analyzing sociocultural factors in the context of the digital transformation of the economy

Development of methods and tools to support regional management in the Arctic zone of the Russian Federation based on cognitive interfaces

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