Edited Book Chapter

This work relates to the interplay between human and machine learning in citizen science. It provides opportunities to collaborate and share ideas and findings with a broader community of practitioners and academics in the area of hybrid intelligence and citizen science.

  • Franzen, M., Kloetzer, L., Ponti, M., Trojan, J., and Vicens, J. (forthcoming). Machine learning in citizen science: promises and implications. In Vohland, K., Land, A., Ceccaroni, L., Perreló, J., Ponti, M., Samson, R., Wagenknecht, K., and Lemmens, R. (Eds). The Science of Citizen Science. Final Book of the COST Action CA15212. To be published in 2020. Open access publication. Springer Nature.