Electronic document as a tool of digital economy
The article reviews the problems of using an electronic document (i.e. legally significant computer information) as a necessary tool for building a digital economy. This problem becomes of special importance in terms of implementation of distributed computing in the interests ofmodern technologies, including Big Data,Artificial Intelligence, Blockchain, Industry 4.0,Industrial Internetof Things,Virtual and Augmented Reality technologies, etc. The authors showthat in case of development and adoption ofthe Law "On Electronic Document", we can link the concepts of "Electronic Document" and "Data Message", and can identify several categories of Computer Information (Electronic data interchange) having asignificance: specified Computer data, traffic data, stored Computer data, traffic data,content data.
The article reviews the problems of using an electronic document (i.e. legally significant computer information) as a necessary tool for building a digital economy. This problem becomes of special importance in terms of implementation of distributed computing in the interests of modern technologies, including Big Data, Artificial Intelligence, Blockchain, Industry 4.0, Industrial Internet of Things, Virtual and Augmented Reality technologies, etc. The authors show that in case of development and adoption of the Law "On Electronic Document", we can link the concepts of "Electronic Document" and "Data Message", and can identify several categories of Computer Information (Electronic data interchange) having a significance: specified Computer data, traffic data, stored Computer data, traffic data, content data.
The influence of available information on personal development and on the formation of pseudo-complemented discussed in this paper. Free access to information leads to a sense of «know-it-all» and a wealth of skills and knowledge. This phenomenon can be particularly evident in children and adolescents who have not yet learned social norms, have poorly developed critical thinking and don’t know how to select and analyze information.
At the end of 2018, November 30 - December 1, the research team WrongTech held a scientific and practical conference “Russian User Studies” at the Sociological Institute of the Federal Research and Design Institute for Science and Technology of the Russian Academy of Sciences in order to bring together developers, practitioners, academic and industrial researchers on one site. 30 conference participants from St. Petersburg, Moscow, Minsk (Belarus) and Maastricht (Netherlands) for two days discussed such aspects of social research of users, as problems of conceptualization of users and non-users, research methods of (non) users, social and cultural features of technology use, gender aspects of (non) users, postcolonial and indigenous features of technology use, Academy and Business Collaborations at User Studies. The key topic for discussion in almost all sections was the understanding of the boundaries of the concept users and its possible alternatives. In this regard, the iconic events of the conference were the plenary report of the famous Dutch non-user researchers Sally Wyatt and the final discussion, “What are the interactions between users and technologies.”
Protest Technologies and Media Revolutions portrays the critical role of mass connection in the success of any movement, resurrection, protest, and revolution.
The communication mechanisms for this connection have, at times, evolved and elsewhere undergone revolutions of their own. Authors debate this relationship, and the strategies and lessons of 'connecting to the masses' considering the development of media, technology and communication strategies over the last century. Key topics covered include revolution, communication, protest and technology, spanning from the Russian Revolution to the present day.
The discussion is not limited to historic cases of technology and revolution, nor to contemporary ones. The book, therefore, generates a debate about how art, media and communication technologies have been operationalized to connect, mobilize and organize, in different historical times, and in diverse national, political, and socio-economic contexts.
The modern economy is on the way to a new technological order based on knowledge-intensive industries relying on digital technologies. This transition’s possible effects are yet to be sufficiently studied as they require thorough analysis and the use of the appropriate tools. Moreover, it is necessary to develop new indicators considering the specificity of the economy’s digitalization. The article presents a methodology for studying the phenomena of the digital economy and digital divide in Russian regions. Using the methodology, we developed new indicators, approaches and techniques for studying the changes at different levels of hierarchy and the effects of their impact. In the first block we established a composite indicator for studying regional imbalances in the development of digital economy. This indicator has several advantages as it takes into account the availability of the basic information and communication technologies and wired network services. In the second block we introduced the method of classifying the Russian regions by the level of digital technologies development. Differences in the mean values of variables across clusters allow determining the magnitude of the inequality in the technology’s dissemination between the groups of regions. In the third block we identified the key determinants of digital development and information inequality based on the panel data regression models. We built separate models for the information and communication technology accessibility index and its two sub-indices, assuming they were influenced by different and divergent factors. Defining the effective institutional mechanisms for digital development will determine the direction for boosting the competitiveness of the Russian regions and engage additional sources of economic growth. Furthermore, it will help increasing innovation activity and reducing the digital divide.
The complexity of modern technology and the increase in the number of functions performed by the required equipment in the processing of large amounts of data, puts, especially given the conditions of import substitution, the problem of ensuring the quality and efficiency of engineering works in various directions. In addition, among other industries in the mining industry, the quality of computer technology depends not only on indirect statistical quantitative analysis, but also on the management of safety systems and, hence, people’s lives. The concept of the main directions of the state policy in the sphere of education for 2016-2020, based on the world standards of training of CDIO engineers, creates a favorable environment for the organization of training of competent competitive specialists of a certain engineering profile for the growth of competitiveness of the mining and mining industry of the Russian Federation in the world market, obtaining key economic results and achievements. The improvement of educational methods and tools for training and advanced training of mining engineers in the current period is based on the active implementation of the Standard of global engineering education, which forms a complex environment where trained engineers must be able to “Think-Design-Implement” and “Manage” systems in a team interaction for maximum synergetic effect. On the basis of a number of national universities of the 5-100 program, an open space of engineering education is being created, which involves the formation of an innovative environment and infrastructure based on modern technology (including super-computers), engineering and digital components in the framework of educational and research processes of training in-demand specialists. The implementation of the digital approach and design principles in specialized engineering education is aimed at the formation of key research skills, conducting virtual experiments in cooperation and collaboration with colleagues and experts. Accordingly, the development of new geographic information methods of spatial data analysis in digital project engineering training is an important task in view of the current challenges of the information society and the economy.