Citizen Science Design in Practice: A Taxonomic Study of Configurations, Clusters, and Disciplinary Influences in German Initiatives
By: Carolin Stein, Moritz Müller and Jonas Fegert
References
- Choi, S.-S., Cha, S.-H., and Tappert, C.C. (2010) A survey of binary similarity and distance measures. Journal of Systemics, Cybernetics and Informatics, 8(1), pp. 43–48.
- Dalmaijer, E.S., Nord, C.L., and Astle, D.E. (2022) Statistical power for cluster analysis. BMC Bioinformatics, 23, 205. DOI: 10.1186/s12859-022-04675-1
- Dormann, C.F., Elith, J., Bacher, S., Buchmann, C., Carl, G., Carré, G., Marquéz, J.R.G., et al. (2013) Collinearity: A review of methods to deal with it and a simulation study evaluating their performance. Ecography, 36, pp. 27–46. DOI: 10.1111/j.1600-0587.2012.07348.x
- Estellés-Arolas, E., Navarro-Giner, R., and Guevara, F.G. (2015) Crowdsourcing Fundamentals: Definition and Typology. In: Advances in Crowdsourcing, pp. 33–48. DOI: 10.1007/978-3-319-18341-1_3
- European Citizen Science Association (ECSA) (2015) Ten Principles of Citizen Science. Available at:
https://ecsa.citizen-science.net/documents/ (Accessed: 15 December 2024). - Funtowicz, S.O. and Ravetz, J.R. (1993) Science for the post-normal age. Futures, 25(7), pp. 739–755. DOI: 10.1016/0016-3287(93)90022-L
- Golumbic, Y.N. (2024) Where does the balance lie? Scientific, societal, and individual goals of citizen science projects. Environmental Science & Policy, 159, 103828. DOI: 10.1016/j.envsci.2024.103828
- Haklay, M. (2013)
Citizen science and volunteered geographic information: Overview and typology of participation . In: Sui, D., Elwood, S., Goodchild, M. (eds) Crowdsourcing Geographic Knowledge. Springer, Dordrecht, pp. 105–122. DOI: 10.1007/978-94-007-4587-2_7 - Haklay, M., Dörler, D., Heigl, F., Manzoni, M., Hecker, S., and Vohland, K. (2021)
What is citizen science? The challenges of definition . In: Vohland, K. et al. (eds) The Science of Citizen Science. Cham: Springer, pp. 13–33. DOI: 10.1007/978-3-030-58278-4_2 - Hecker, S., Haklay, M., Bowser, A., Makuch, Z., Vogel, J., and Bonn, A. (2018)
The European citizen science landscape – a snapshot . In: Hecker, S. et al. (eds) Citizen Science: Innovation in Open Science, Society and Policy. UCL Press, pp. 190–200. DOI: 10.2307/j.ctv550cf2.25 - Heigl, F., Kieslinger, B., Paul, K.T., Uhlik, J., Frigerio, D., and Dörler, D. (2020) Co-creating and implementing quality criteria for citizen science. Citizen Science: Theory and Practice, 5(1), 23. DOI: 10.5334/cstp.294
- Howe, J. (2006)
The rise of crowdsourcing . Wired. Available at:https://www.wired.com/2006/06/crowds/ (Accessed: 15 December 2024). - Irwin, A. (1995) Citizen Science: A Study of People, Expertise and Sustainable Development. Routledge.
- Jasanoff, S. (2004) States of Knowledge: The Co-production of Science and Social Order. Routledge. DOI: 10.4324/9780203413845
- Jennett, C., Kloetzer, L., Schneider, D., Iacovides, I., Cox, A., Gold, M., Fuchs, B., Eveleigh, A., Mathieu, K., Ajani, Z. and Talsi, Y. (2016) Motivations, learning and creativity in online citizen science. JCOM, 15(03), A05. DOI: 10.22323/2.15030205
- Kassambara, A. (2017) Practical Guide to Cluster Analysis in R: Unsupervised Machine Learning. Vol. 1. STHDA.
- Kullenberg, C. and Kasperowski, D. (2016) What is citizen science? – A scientometric meta-analysis. PLOS ONE, 11(1),
e0147152 . DOI: 10.1371/journal.pone.0147152 - Levy, M. and Germonprez, M. (2017) The potential for citizen science in information systems research. Communications of the Association for Information Systems, 40(1), pp. 22–39. DOI: 10.17705/1CAIS.04002
- Macintosh, A. (2004) Characterizing e-participation in policy-making. Proceedings of the 37th Hawaii International Conference on System Sciences. Big Island, HI:
IEEE , p. 10. DOI: 10.1109/HICSS.2004.1265300 - Moczek, N., Hecker, S., and Voigt-Heucke, S.L. (2021) The known unknowns: What citizen science projects in Germany know about their volunteers—and what they don’t know. Sustainability, 13(20), 11553. DOI: 10.3390/su132011553
- Monzón Alvarado, C.M., Zamora Rendon, A., and Vázquez Pérez, A. (2020) Integrating public participation in knowledge generation processes: Evidence from citizen science initiatives in Mexico. Environmental Science & Policy, 114, pp. 230–241. DOI: 10.1016/j.envsci.2020.08.007
- Nickerson, R.C., Varshney, U., and Muntermann, J. (2013) A method for taxonomy development and its application in information systems. European Journal of Information Systems, 22, pp. 336–359. DOI: 10.1057/ejis.2012.26
- Nowotny, H., Scott, P., and Gibbons, M. (2001) Re-thinking Science: Knowledge and the Public in an Age of Uncertainty. Polity Press.
- Romesburg, H.C. (2004) Cluster Analysis for Researchers. Lulu Press.
- Rousseeuw, P.J. (1987) Silhouettes: A graphical aid to the interpretation and validation of cluster analysis. Journal of Computational and Applied Mathematics, 20, pp. 53–65. DOI: 10.1016/0377-0427(87)90125-7
- Sanford, C. and Rose, J. (2007) Characterizing eParticipation. International Journal of Information Management. DOI: 10.1016/j.ijinfomgt.2007.08.002
- Shirk, J.L., Ballard, H.L., Wilderman, C.C., Phillips, T., Wiggins, A., Jordan, R., McCallie, E., Minarchek, M., Lewenstein, B.V., Krasny, M.E., and Bonney, R. (2012) Public participation in scientific research: A framework for deliberate design. Ecology and Society, 17(2), 29. DOI: 10.5751/ES-04705-170229
- Somech, A. (2002) Explicating the complexity of participative management. Educational Administration Quarterly, 38(3), pp. 341–371. DOI: 10.1177/0013161X02383003
- Spasiano, A., Grimaldi, S., Braccini, A.M., and Nardi, F. (2021) Towards a transdisciplinary theoretical framework of citizen science. Sustainability, 13(14), 7904. DOI: 10.3390/su13147904
- Stein, C., Fegert, J.D., Wittmer, A., and Weinhardt, C. (2023c) Digital participation for data literate citizens – A qualitative analysis of the design of multi-project citizen science platforms. IADIS International Journal on Computer Science and Information Systems, 18(1). DOI: 10.33965/ijcsis_2023180101
- Stein, C., Straub, T., Jachimowicz, J., and Fegert, J. (2023a) Same same but different – Towards a taxonomy for digital involvement projects, in Proceedings of the 31st European Conference on Information Systems (ECIS 2023), Kristiansand, Norway.
- Stein, C., Wittmer, A., Fegert, J., and Weinhardt, C. (2023b) Citizen Science as a Service? A Review of Multi-Project Citizen Science Platforms. in Proceedings of the IADIS International Conference e-Society 2023, Lisbon, Portugal:
IADIS . - Stein, C., Wittmer, A., Weinhardt, C., and Fegert, J. (2025) From (Design) Theory to (Participation) Practice – Leveraging a Taxonomy for Digital Involvement Projects, in Proceedings of the 58th Hawaii International Conference on System Sciences (HICSS 2025), Maui, HI:
University of Hawai‘i at Mānoa . DOI: 10.24251/HICSS.2025.257 - Strasser, B.J., Baudry, J., Mahr, D., Sánchez, G., and Tancoigne, E. (2019) Citizen science? Rethinking science and public participation. Science & Technology Studies, 32(2), pp. 52–76. DOI: 10.23987/sts.60425
- Weingart, P. and Meyer, C. (2021) Citizen science in South Africa: Rhetoric and reality. Public Understanding of Science, 30(5), pp. 605–620. DOI: 10.1177/0963662521996556
- Weinhardt, C., Fegert, J., Hinz, O., and van der Aalst, W.M.P. (2024) Digital democracy: A wake-up call. Business & Information Systems Engineering, 66, pp. 127–134. DOI: 10.1007/s12599-024-00862-x
- Wiggins, A. and Wilbanks, J. (2019) The rise of citizen science in health and biomedical research. The American Journal of Bioethics, 19(8), pp. 3–14. DOI: 10.1080/15265161.2019.1619859
DOI: https://doi.org/10.5334/cstp.830 | Journal eISSN: 2057-4991
Language: English
Page range: 11 - 11
Submitted on: Dec 15, 2024
Accepted on: Apr 24, 2026
Published on: May 15, 2026
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Keywords:
© 2026 Carolin Stein, Moritz Müller, Jonas Fegert, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.