![]() Kosmala, M., Wiggins, A., Swanson, A., Simmons, B.: Assessing data quality in citizen science. Korpela, E., Werthimer, D., Anderson, D., Cobb, J., Leboisky, M.: home-massively distributed computing for SETI. (eds.) Crowdsourcing Geographic Knowledge, pp. Haklay, M.: Citizen science and volunteered geographic information: overview and typology of participation. 3(1), 78–83 (2008)ĭickinson, J., Zuckerberg, B., Bonter, D.: Citizen science as an ecological research tool: challenges and benefits. Ĭusack, C.A., Peck, E., Riolo, M.: Volunteer computing games: merging online casual gaming with volunteer computing. KeywordsĪnderson, D.P.: BOINC: a platform for volunteer computing. ![]() This study can help to understand current trends in the evolution of volunteer computing. In this paper we analyze changes in the number and structure of volunteer computing projects, share of fundamental and applied science, number of volunteers and the role of the Russian community. The BOINC community offers a number of scientific volunteer computing projects to participate, both fundamental and applied. It is characterized by ease of participation, indifferentiation to geography, understandable contribution, and many other magnetic issues promoting permanent interest of volunteers. In this way, volunteer computing is a shining example of citizen science. It is widely recognized as a scientific approach with huge and global potential with the ability to involve individual volunteers and community groups in tackling large global challenges. Citizen science brings together civil crowd resources to help the scientific community. ![]()
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