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Crowd science and citizen science
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Crowd science and citizen science
Annotation
PII
S086904990011389-9-1
DOI
10.7868/S0869049918030115
Publication type
Article
Status
Published
Authors
Sergey EGEREV 
ORCID: 0000-0001-6998-1060
Occupation: Chief researcher
Affiliation:
Institute of Scientific Information for Humanitary Science (Moscow)
Andreyev Acoustics Institute (Moscow)
Address: 117036, Moscow, st. Shvernika, 4
Edition
Issue 3
Pages
153-162
Abstract

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.

Keywords
crowdsourcing, science communications, involvement of volunteers, informal learning, participation of communities
Received
10.06.2018
Date of publication
10.06.2018
Number of purchasers
8
Views
1276
Readers community rating
0.0 (0 votes)
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References

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.

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