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Methodological problems in developing statistics of cognitive technologies

https://doi.org/10.34023/2313-6383-2016-0-7-10-25

Abstract

Development of cognitive technologies can be identified as crucial direction for advancing science and technology. In its prominence and importance it matches nanotechnology, biotechnology, and information and communication technologies. The author follows up conceptual provisions that were first presented by him in the article «Methodological approaches to organizing statistical observation of cognitive technologies» (Issue no. 3 for 2016, Journal «Voprosy statistiki»). This paper focuses on outlining methodological platform for organizing statistical monitoring of cognitive technologies. It attempts to work out the logic behind categorizing approaches used to reorganize a multitude of development decisions and performance indicators of science, technology, production (manufacturing) of products, goods and services. In order to formulate primary methodological pre-requisites for establishing statistical monitoring, the author gives common and list-based definitions of cognitive technology along the lines of OECD approaches to nanotechnology and biotechnology. Basic parametric level of cognitive technology is set. In the course of discussing selection criteria for interdisciplinary pool of cognitive sciences, the author introduces the definition and recommends using the construct of cognitive engineering. The article analyzes examples of various instrumental methods of examination from dozens of different fields of science and technology (from traditional microscopy to optochemistry and computer modeling) and considers the challenges of organizing the monitoring of technological basis for cognitive technologies. To compactly systematize all the variety of applied technologies the author used three-dimensional organization. In order to elaborate rather small international experience in setting up classifications the article presents an unconventional local classification principle providing for grouping the results in the form of strategic fundamental development directions for cognitive technology, manufacturing and circulation of products, goods and services, in the interface formats: brain - society -human brain (BCI, BMI, etc.).

About the Author

O. P. Rybak
Statistics Institute of Rosstat
Russian Federation


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Review

For citations:


Rybak O.P. Methodological problems in developing statistics of cognitive technologies. Voprosy statistiki. 2016;(7):10-25. (In Russ.) https://doi.org/10.34023/2313-6383-2016-0-7-10-25

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ISSN 2313-6383 (Print)
ISSN 2658-5499 (Online)