Expert System for the Selection of the Rational Method for Collecting and Processing Information During Russian Census Based on Geographical and Socio-Economic Characteristics of Regions
https://doi.org/10.21686/2500-3925-2020-3-67-78
Abstract
The article considers the issues of using new information and communication technologies (ICTs) when conducting the Russian Census related to the introduction of mobile devices and the Internet, which provide new opportunities for improving the quality and timeliness of the collecting and primary processing of statistical information about the population.
In 2010, the Russian Census was conducted in the Russian Federation, which had many differences from previous censuses. All the technological stages of Russian Census – 2010 were automated starting from the development of machine-readable forms of census questionnaires and up to the preparation of publications of its outcomes.
In the course of the trial population census held in 2018, ROSSTAT first combined the use of the Internet and mobile devices for collecting the information about the population. So, from October 1 to October 10, 2018 an online census was conducted for the whole country. Then, from October 11 to October 14, 2018 the information collected during the online census was processed, from October 15 to October 31, 2018, a survey was conducted by census takers in the regions of the trial population census – 2018 with the use of tablets and machine-readable documents. However, as the experience of the trial population census – 2018 demonstrated, one method of collecting information about the population cannot be equally efficient in all regions of Russia, due to the different attitude of the population to the methods of collecting information, as well as the conditions for the availability of information and communication technologies (ICTs) to the population in each region.
The experience gained indicates the need for each region to choose the method of collecting and primary processing of statistical information about the population for each region based on a combination of Internet, mobile and traditional technologies that is adaptive to the regional conditions of the population census (remoteness and inaccessibility of some regions, the unreadiness of individual segments of the population to use modern ICTs for collecting information, Internet accessibility in various regions, different attitude of the population to census methods). The solution of this problem is an important condition for increasing the coverage of the population, the accuracy and reliability of the results and reducing the cost of conducting a census in each subject of Russia.
The use of new information and communication technologies related to introduction of mobile devices and the Internet opens up new opportunities for improving the quality and timeliness of the collection and primary processing of statistical information about the population. However, with the development of census technologies, the number of alternative options for organizing it is growing. All this makes it necessary to justify the selection of a rational method of collecting and primary processing of statistical information about the population based on the regional characteristics of the development and accessibility of ICT, the consent of the population to interact with public authorities through the Public Services Portal, availability of ICTs in households. The validity of this choice is associated with the use of methods and decision-making models that are adequate to the peculiarities of the task.
Purpose. Development of models for the selection of the rational method of collecting and primary processing of information of the Russian Census for each region of Russia using mobile devices and Internet technologies that correspond to the existing technological environment and the specificities of organizing Russian Census processes.
Materials and methods. In the process of performing the preset tasks, methods of system and statistical analysis, expert assessment and systems, the fuzzy-set theory and cluster analysis were used. Calculations were carried out using MS Excel application software packages and IBM SPSS STATISTICS statistical software package.
Results. The scientific article describes the developed expert system and models for substantiating a rational method of collecting and processing primary information in each Russian region based on their clustering according to the features characterizing the level of ICT development and their accessibility to the population in each region, the population's consent to cooperate with governmental authorities through the Public Services Portal, accessibility of ICT use in households and identifying the compliance of possibilities provided by alternative methods of collecting and processing the information on the population to the characteristics of readiness of the population, census personnel and territorial state statistics agency for conducting a census using modern ICTs and the limitations on the cost of conducting Russian Census in each region.
Conclusion. The paper discusses the methodology that allows for the implementation of basic concept of the Russian Census, which is to ensure maximum coverage of the population while making informed management decisions on the choice of methods for collecting and primary processing of Russian Census information in each region of Russia, taking into account regional characteristics of the development and accessibility of ICTs, the consent of the population to interaction with public authorities through the Public Services Portal, access to ICTs in households.
Keywords
About the Author
O. V. ManzhulaRussian Federation
Oleg V. Manzhula Deputy Head of the Department of Information Resources and Technologies
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Review
For citations:
Manzhula O.V. Expert System for the Selection of the Rational Method for Collecting and Processing Information During Russian Census Based on Geographical and Socio-Economic Characteristics of Regions. Statistics and Economics. 2020;17(3):67-78. (In Russ.) https://doi.org/10.21686/2500-3925-2020-3-67-78