References
- 1Ballerini, L and Bergh, SI. 2021. Using citizen science data to monitor the Sustainable Development Goals: a bottom-up analysis. Sustainability Science. DOI: 10.1007/s11625-021-01001-1
- 2Burt, RS. 2004. Structural Holes and Good Ideas. American Journal of Sociology, 110: 349–399. DOI: 10.1086/421787
- 3Chambers, JM, Wyborn, C, Ryan, ME, Reid, RS, Riechers, M, Serban, A, Bennett, NJ, Cvitanovic, C, Fernández-Giménez, ME, Galvin, KA, Goldstein, BE, Klenk, NL, Tengö, M, Brennan, R, Cockburn, JJ, Hill, R, Munera, C, Nel, JL, Österblom, H, Bednarek, AT, Bennett, EM, Brandeis, A, Charli-Joseph, L, Chatterton, P, Curran, K, Dumrongrojwatthana, P, Durán, AP, Fada, SJ, Gerber, J-D, Green, JMH, Guerrero, AM, Haller, T, Horcea-Milcu, A-I, Leimona, B, Montana, J, Rondeau, R, Spierenburg, M, Steyaert, P, Zaehringer, JG, Gruby, R, Hutton, J and Pickering, T. 2021. Six modes of co-production for sustainability. Nature Sustainability, 4: 983–996. DOI: 10.1038/s41893-021-00755-x
- 4Cox, J, Oh, EY, Simmons, B, Lintott, C, Masters, K, Greenhill, A, Graham, G and Holmes, K. 2015. Defining and Measuring Success in Online Citizen Science: A Case Study of Zooniverse Projects. Computing in Science & Engineering, 17: 28–41. DOI: 10.1109/MCSE.2015.65
- 5Crowd4SDG consortium. 2020. Citizen Science for Monitoring Climate Impacts and Achieving Climate Resilience. CORDIS Eur. Comm. URL
https://cordis.europa.eu/project/id/872944/fr - 6Deri, S, Rappaz, J, Aiello, LM and Quercia, D. 2018. Coloring in the Links: Capturing Social Ties as They are Perceived. Proceedings of the ACM on Human-Computer Interaction, 2: 1–18. DOI: 10.1145/3274312
- 7Fortunato, S, Bergstrom, CT, Börner, K, Evans, JA, Helbing, D, Milojević, S, Petersen, AM, Radicchi, F, Sinatra, R, Uzzi, B, Vespignani, A, Waltman, L, Wang, D and Barabási, A-L. 2018. Science of science. Science, 359:
eaao0185 . DOI: 10.1126/science.aao0185 - 8Fraisl, D, Campbell, J, See, L, Wehn, U, Wardlaw, J, Gold, M, Moorthy, I, Arias, R, Piera, J, Oliver, JL, Masó, J, Penker, M and Fritz, S. 2020. Mapping citizen science contributions to the UN sustainable development goals. Sustainability Science, 15: 1735–1751. DOI: 10.1007/s11625-020-00833-7
- 9Franzoni, C, Poetz, M and Sauermann, H. 2021. Crowds, citizens, and science: a multi-dimensional framework and agenda for future research. Industry and Innovation, 1–34. DOI: 10.1080/13662716.2021.1976627
- 10Franzoni, C and Sauermann, H. 2014. Crowd science: The organization of scientific research in open collaborative projects. Research Policy, 43: 1–20. DOI: 10.1016/j.respol.2013.07.005
- 11Fritz, S, See, L, Carlson, T, Haklay, M (Muki), Oliver, JL, Fraisl, D, Mondardini, R, Brocklehurst, M, Shanley, LA, Schade, S, Wehn, U, Abrate, T, Anstee, J, Arnold, S, Billot, M, Campbell, J, Espey, J, Gold, M, Hager, G, He, S, Hepburn, L, Hsu, A, Long, D, Masó, J, McCallum, I, Muniafu, M, Moorthy, I, Obersteiner, M, Parker, AJ, Weisspflug, M and West, S. 2019. Citizen science and the United Nations Sustainable Development Goals. Nature Sustainability, 2: 922–930. DOI: 10.1038/s41893-019-0390-3
- 12Gargiulo, F, Castaldo, M, Venturini, T and Frasca, P. 2022. Distribution of labor, productivity and innovation in collaborative science. Applied Network Science, 7(1): Article 1. DOI: 10.1007/s41109-022-00456-0
- 13Hackman, JR. 1987.
The design of work teams . In: Lorsch, J. (ed.), Handbook of Organizational Behavior. NJ: Prentice-Hall, Englewood Cliffs. - 14Haklay, M. 2018.
Participatory Citizen Science . In: Hecker, S, Haklay, M, Bowser, A, Makuch, Z, Vogel, J and Bonn, A (eds.), Citizen Science: Innovation in Open Science, Society and Policy. London, UK: UCL Press, pp. 52–62. DOI: 10.2307/j.ctv550cf2.11 - 15Jaeger, J, Masselot, C, Greshake Tzovaras, B, Senabre Hidalgo, E, Haklay, M and Santolini, M. 2022. An Epistemology for Democratic Citizen Science [Preprint]. Open Science Framework. DOI: 10.31219/osf.io/j62sb
- 16Klein, M, Maillart, T and Chuang, J. 2015. The Virtuous Circle of Wikipedia: Recursive Measures of Collaboration Structures. In: Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing, CSCW ’15.
Association for Computing Machinery , New York, NY, USA, pp. 1106–1115. DOI: 10.1145/2675133.2675286 - 17Klug, M and Bagrow, JP. 2016. Understanding the group dynamics and success of teams. Royal Society Open Science, 3: 160007. DOI: 10.1098/rsos.160007
- 18Kokshagina, O. 2021. Open Covid-19: Organizing an extreme crowdsourcing campaign to tackle grand challenges. R&D Management. DOI: 10.1111/radm.12470
- 19Masselot, C, Tzovaras, BG, Graham, CLB, Finnegan, G, Jeyaram, R, Vitali, I, Landrain, T and Santolini, M. 2022. Implementing the Co-Immune Open Innovation Program to Address Vaccination Hesitancy and Access to Vaccines: Retrospective Study. Journal of Participatory Medicine, 14:
e32125 . DOI: 10.2196/32125 - 20Parkinson, S, Woods, SM, Sprinks, J and Ceccaroni, L. 2022. A Practical Approach to Assessing the Impact of Citizen Science towards the Sustainable Development Goals. Sustainability, 14: 4676. DOI: 10.3390/su14084676
- 21Poquet, O, Tupikina, L and Santolini, M. 2020. Are forum networks social networks? A methodological perspective. In: Proceedings of the Tenth International Conference on Learning Analytics & Knowledge, LAK ’20.
Association for Computing Machinery , New York, NY, USA, pp. 366–375. DOI: 10.1145/3375462.3375531 - 22Santolini, M. 2020. Covid-19: the rise of a global collective intelligence? The Conversation.
http://theconversation.com/covid-19-the-rise-of-a-global-collective-intelligence-135738 . - 23Schaefer, T, Kieslinger, B, Brandt, M and van den Bogaert, V. 2021.
Evaluation in Citizen Science: The Art of Tracing a Moving Target . In: Vohland, K, Land-Zandstra, A, Ceccaroni, L, Lemmens, R, Perelló, J, Ponti, M, Samson, R and Wagenknecht, K (eds.), The Science of Citizen Science. Cham: Springer International Publishing, pp. 495–514. DOI: 10.1007/978-3-030-58278-4_25 - 24Senabre Hidalgo, E, Perelló, J, Becker, F, Bonhoure, I, Legris, M and Cigarini, A. 2021.
Participation and Co-creation in Citizen Science . In: Vohland, K, Land-Zandstra, A, Ceccaroni, L, Lemmens, R, Perelló, J, Ponti, M, Samson, R and Wagenknecht, K (eds.), The Science of Citizen Science. Springer International Publishing, Cham, pp. 199–218. DOI: 10.1007/978-3-030-58278-4_11 - 25Singh, CK, Barme, E, Ward, R, Tupikina, L and Santolini, M. 2022. Quantifying the rise and fall of scientific fields. PLOS ONE, 17(6):
e0270131 . DOI: 10.1371/journal.pone.0270131 - 26Tackx, R, Blondel, L and Santolini, M. 2021. Quantified Us: a group-in-the-loop approach to team network reconstruction. In: Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers, UbiComp ’21.
Association for Computing Machinery , New York, NY, USA, pp. 502–507. DOI: 10.1145/3460418.3479363
