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.
No posts found