Abstract
The problems of environmental awareness in the population were considered. Distributed sources of information were revealed and analyzed to evaluate such awareness. The data on search queries and messages in social groups were used to estimate patterns of environment-related mass activities in the cyberspace and the real world of Russian regions. The results obtained demonstrate opportunities of distributed data collection for a real-time decision making as compared with sociological surveys.
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Acknowledgements
The research described in this paper is partially supported by the Russian Foundation for Basic Research (grants 17-06-00108, 17-08-00797), state order of the Ministry of Education and Science of the Russian Federation № 2.3135.2017/4.6, state research № 0073-2019-0004 and International project ERASMUS+, Capacity building in higher education, # 73751-EPP-1-2016-1-DE-EPPKA2-CBHE-JP.
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Verzilin, D., Maximova, T., Sokolova, I. (2020). Collecting and Processing Distributed Data for Decision Support in Social Ecology. In: Kotenko, I., Badica, C., Desnitsky, V., El Baz, D., Ivanovic, M. (eds) Intelligent Distributed Computing XIII. IDC 2019. Studies in Computational Intelligence, vol 868. Springer, Cham. https://doi.org/10.1007/978-3-030-32258-8_52
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DOI: https://doi.org/10.1007/978-3-030-32258-8_52
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