![]() Tishchenko, V., Prochko, A.: Russian participants in BOINC-based volunteer computing projects the. Tishchenko, V.: Coopetition strategy in volunteer computing: the example of collaboration online in BOINC.RU community. Tishchenko, V., Prochko, A.: Statistical analysis of communications of participants of virtual community BOINC.RU (in Russian) (2018). Tishchenko, V.: Models of patterns of behavior of the participants of BOINC.RU community (in Russian) (2016). (eds.) Black Box Optimization, Machine Learning, and No-Free Lunch Theorems. In: Pardalos, P.M., Rasskazova, V., Vrahatis, M.N. Semenov, A., Zaikin, O., Kochemazov, S.: Finding effective SAT Partitionings via black-box optimization. Nov, O., Anderson, D., Arazy, O.: Volunteer computing: A model of the factors determining contribution to community-based scientific research, pp. Springer International Publishing, Cham (2021). Nikitina, N., Manzyuk, M., Jukić, M., Podlipnik, Č, Kurochkin, I., Albertian, A.: Toward crowdsourced drug discovery: start-up of the volunteer computing project In: Voevodin, V., Sobolev, S. Neverov, V., Khrapov, N.: XANSONS for COD: a new small BOINC project in crystallography. Manzyuk, M., Nikitina, N., Vatutin, E.: Start-up and the results of the volunteer computing project RakeSearch. Lee, K.A., Lee, J.R., Bell, P.: A review of citizen science within the earth sciences: potential benefits and obstacles. 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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