Computational Sociology: A Paradigm Shift or “Econometrics” of Sociology
https://doi.org/10.26794/2226-7867-2021-11-1-37-42
Abstract
The article discusses the emergence of a new field of research in computational sociology that provides a framework for quantitative assessment of social processes and operates with extensive data resources. Further, the perspective of the dynamics of social science methodology is discussed: towards traditional social science with the ability to systematically identify and analyze problems to understand and explain social phenomena, or towards a new interdisciplinary field at the intersection of computational science and sociology. The author presented arguments based on achievements in explaining social phenomena and confirming the right to maintain/ obtain a fundamental discipline status. Finally, the author concluded that the paradigm shift in the social sciences is substantiated in connection with the changes taking place in society with the advent of new technologies and requiring social science to understand this phenomenon’s scale.
About the Author
T. A. Goroshnikova
Financial University
Russian Federation
Russian Federation
Tatyana A. Goroshnikova — Cand.Sci.(Technical Sciences), First Deputy Dean of the Faculty of International Economic Relations, Associate Professor, Department of World Economy and International Business,
Moscow.
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Review
For citations:
Goroshnikova T.A. Computational Sociology: A Paradigm Shift or “Econometrics” of Sociology. Humanities and Social Sciences. Bulletin of the Financial University. 2021;11(1):37-42. (In Russ.) https://doi.org/10.26794/2226-7867-2021-11-1-37-42
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