Publications

Pedruzzi, L., Schertler, A., Giuntini, S., Leggiero, I., Mori, E. (2022). An update on the distribution of the coypu, Myocastor coypus, in Asia and Africa through published literature, citizen-science and online platforms. Mammalian Biology, 1-10. https://doi.org/10.1111/ecog.01132 |

Kousteni, V., Tsiamis, K., Gervasini, E., Zenetos, A., Karachle, P. K., Cardoso, A. C. (2022). Citizen scientists contributing to alien species detection: the case of fishes and mollusks in European marine waters. Ecosphere, 13(1), e03875. https://doi.org/10.1002/ecs2.3875 |

Fraisl, D., Hager, G., Bedessem, B., Gold, M., Hsing, P. Y., Danielsen, F., Haklay, M. (2022). Citizen science in environmental and ecological sciences. Nature Reviews Methods Primers, 2(1), 1-20. |

Wu, Y., Washbourne, C., Haklay, M. (2022). Citizen science in China’s water resources monitoring: current status and future prospects.  International Journal of Sustainable Development & World Ecology, 1-14. https://doi.org/10.1080/13504509.2021.2013973 |

Agnello, G., Vercammen, A., Knight, A. T. (2022). Understanding citizen scientists’ willingness to invest in, and advocate for, conservation. Biological Conservation, 265, 109422. https://doi.org/10.1016/j.biocon.2021.109422 |

Auer T, Barker S, Borgmann K, Charnoky M, Childs D, Curtis J, Davies I, Downie I, Fink D, Fredericks T, Ganger J, Gerbracht J, Hanks C, Hochachka W, Iliff M, Imani J, Johnston A, Lenz T, Levatich T, Ligocki S, Long M T, Morris W, Morrow S, Oldham L, Padilla Obregon F, Robinson O, Rodewald A, Ruiz-Gutierrez V, Strimas-Mackey M, Wolf H, Wood C (2022). EOD – eBird Observation Dataset. Cornell Lab of Ornithology. Cornell Lab of Ornithology. https://doi.org/10.15468/aomfnb

Charvolin, F. (2022). Faune France: Amateur Naturalists’ Attachment and Indebtedness in a Citizen Science Biodiversity Database. Science as Culture, 1-21. https://doi.org/10.1080/09505431.2022.2025775

Torres, A. C., Bedessem, B., Deguines, N., Fontaine, C. (2022). Online data sharing with virtual social interactions favor scientific and educational successes in a biodiversity citizen science project. Journal of Responsible Innovation, 1-19. https://doi.org/10.1080/23299460.2021.2019970 |

LaFantasie, J. (2022). Citizen Science and Public Health-Can eBird data inform relationships between public health and access to biodiversity?.  medRxiv. https://doi.org/10.1101/2022.01.04.22268764 |

Koch, W., Hogeweg, L., Nilsen, E. B., Finstad, A. G. (2022). Maximizing citizen scientists’ contribution to automated species recognition.  bioRxiv. https://doi.org/10.15468/dl.tc4w55 |

Browning, E., Freeman, R., Boughey, K. L., Isaac, N. J., Jones, K. E. (2022). Accounting for spatial autocorrelation and environment are important to derive robust bat population trends from citizen science data. Ecological Indicators, 136, 108719. https://doi.org/10.1016/j.ecolind.2022.108719 |

Maharani, N., Kusrini, M. D., Hamidy, A. (2022). Increasing Herpetofauna Data Through Citizen Science in Indonesia. In IOP Conference Series: Earth and Environmental Science, (Vol. 950, No. 1, p. 012063). https://doi.org/10.1088/1755-1315/950/1/012063 |

Pelacho, M., Ruiz, G., Sanz, F., Tarancón, A., Clemente-Gallardo, J. (2021). Analysis of the evolution and collaboration networks of citizen science scientific publications. Scientometrics, 126(1), 225-257. https://doi.org/10.1007/s11192-020-03724-x

Pitt, J., Michael, K., Abbas, R. (2021). Public Interest Technology, Citizen Assemblies, and Performative Governance. IEEE Technology and Society Magazine, 40(3), 6-9. https://doi.org/10.1109/MTS.2021.3104402 |

Ceccaroni, L., Woods, S. M., Sprinks, J., Wilson, S., Faustman, E. M., Bonn, A., Kimura, A. H. (2021). Citizen science, health, and environmental justice. The Science of Citizen Science, 219. https://doi.org/10.1007/978-3-030-58278-4_12 |

Franzoni, C., Poetz, M., Sauermann, H. (2021). Crowds, citizens, and science: a multi-dimensional framework and agenda for future research. Industry and Innovation, 1-34. https://doi.org/10.1080/13662716.2021.1976627 |

McClure, E. C., Sievers, M., Brown, C. J., Buelow, C. A., Ditria, E. M., Hayes, M. A., Connolly, R. M. (2020). Artificial intelligence meets citizen science to supercharge ecological monitoring. Patterns, 1(7), 100109. https://doi.org/10.1016/j.patter.2020.100109 |

Ceccaroni, L., Piera, J., Wernand, M. R., Zielinski, O., Busch, J. A., Van Der Woerd, H. J., Dubsky, K. (2020). Citclops: A next-generation sensor system for the monitoring of natural waters and a citizens’ observatory for the assessment of ecosystems’ status. PloS one, 15(3), e0230084. https://doi.org/10.1371/journal.pone.0230084 |

Brouwer, S., Hessels, L. K. (2019). Increasing research impact with citizen science: The influence of recruitment strategies on sample diversity. Public Understanding of Science, 28(5), 606-621. https://doi.org/10.1177/0963662519840934 |

Pecl, G. T., Stuart-Smith, J., Walsh, P., Bray, D. J., Kusetic, M., Burgess, M., Moltschaniwskyj, N. (2019). Redmap Australia: challenges and successes with a large-scale citizen science-based approach to ecological monitoring and community engagement on climate change. Frontiers in Marine Science, 6, 349. https://doi.org/10.3389/fmars.2019.00349