Crowd science and citizen science

Publication type Article
Status Published
Occupation: Chief researcher
Institute of Scientific Information for Humanitary Science (Moscow)
Andreyev Acoustics Institute (Moscow)
Address: 117036, Moscow, st. Shvernika, 4
Journal nameObshchestvennye nauki i sovremennost
EditionIssue 3

The paper deals with a current status of distributed research projects. The terminology relating to various project types is clarified, i.e. scientific crowdsourcing, crowd science, citizen science etc. The experience of organizing and maintaining distributed research is generalized. Key management aspects of crowd science projects and of citizen science projects are noted as well. It is shown how modern information technologies are contributing to the development of new areas of distributed research. Attention is paid to the practice of distributed research projects in the field of human sciences.

Keywordscrowdsourcing, science communications, involvement of volunteers, informal learning, participation of communities
Publication date10.06.2018
Number of characters610
Cite   Download pdf To download PDF you should sign in
Размещенный ниже текст является ознакомительной версией и может не соответствовать печатной

views: 178

Readers community rating: votes 0

1. Borgman C.L. (2015) Knowledge infrastructures in science: data, diversity, and digital libraries. International Journal on Digital Libraries, vol. 16, no. 3–4. pp. 207–227.

2. Chen P.Y. (2015) When crowdsourcing meets mobile sensing: a social network perspective. IEEE Communications Magazine, vol. 53, no. 10, pp. 157–163.

3. Franzoni C., Sauermann H. (2014) Crowd science: the organization of scientific research in open collaborative projects. Research Policy. vol. 43, no. 1, pp. 1–20.

4. Haklay M. (2013) Citizen science and volunteered geographic information: overview and typology of participation. Crowdsourcing Geographic Knowledge. Volunteered Geographic Information in Theory and Practice. Berlin. Springer, pp. 105–122.

5. Jennett C. (2016) Motivations, learning and creativity in online citizen science. Journal of Science Communication, vol. 15, no. 3, pp. A05–1–A05–23.

6. Laso Bayas J.C. (2016) Crowdsourcing in-situ data on land cover and land use using gamification and mobile technology. Remote Sensing, vol. 8, no. 11, pp. 905–910.

7. Niforatos E., Vourvopoulos A., Langheinrich M. (2016) Understanding the potential of human-machine crowdsourcing for weather data. International Journal of Human-Computer Studies, vol. 102, no. 6, pp. 54–68.

8. Nov O., Arazy O., Anderson D. (2010) Crowdsourcing for science: understanding and enhancing SciSourcing contribution. ACM CSCW 2010 Workshop on the Changing Dynamics of Scientific Collaborations. New York: ACM, pp. 1–3.

9. Scheliga K., Friesike S., Puschmann C., Fecher B. (2016) Setting up crowd science projects. Public Understanding of Science, vol. 1, pp. 1–20.

10. Schläppy M.-L. (2017) Making waves: marine citizen science for impact. Frontiers in Marine Science. 16 May

11. Zanatta A.L. (2016) Software crowdsourcing platforms. IEEE Software, vol. 33, no. 6, pp. 112–116.

12. Zhang X. (2014) Free market of crowdsourcing: incentive mechanism design for mobile sensing. Parallel and Distributed Systems, IEEE Transactions, vol. 25, no. 12, pp. 3190–3200.

Система Orphus