A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä
A Mobile Application–Based Citizen Science Product to Compile Bird Observations
Tekijät: Nokelainen, Ossi; Lauha, Patrik;, Andrejeff, Sebastian; Hänninen, Jari; Inkinen, Jasmin; Kallio, Aleksi; Lehto, Harry J,; Mutanen, Marko; Paavola, Riku; Schiestl-Aalto, Pauliina; Somervuo, Panu; Sundell, Janne; Talaskivi, Jussi; Vallinmäki, Mikko; Vancraeyenest, Aurélie; Lehtiö, Ari; Ovaskainen, Otso
Kustantaja: Ubiquity Press
Julkaisuvuosi: 2024
Journal: Citizen Science: Theory and Practice
Artikkelin numero: 24
Vuosikerta: 9
Numero: 1
Aloitussivu: 1
Lopetussivu: 14
eISSN: 2057-4991
DOI: https://doi.org/10.5334/cstp.710
Verkko-osoite: https://theoryandpractice.citizenscienceassociation.org/articles/10.5334/cstp.710
Rinnakkaistallenteen osoite: https://research.utu.fi/converis/portal/detail/Publication/457831135
Citizen science covers initiatives from crowdsourcing, distributed intelligence, and participatory science, to extreme citizen science. Terminological overlap, varied project aims, and cultural differences in the fields of research have, however, led to discord regarding how impactful citizen science projects can be. Here, we showcase a mobile application–based citizen science campaign (in Finnish: Muuttolintujen kevät), an automated bird sound classifier of Finnish birds. Over a single season (2023), the method attracted 140,000 participants who uploaded close to three million recordings containing six million bird observations. We report the spatial and temporal distribution of the observations collected, characterize the user behaviour, and discuss reliability of the user-based validations of the AI-powered species identifications. To circumvent data quality problems that characterize many citizen science projects, our approach stores the raw audio in a centralized repository, enabling rigorous validation and re-analysis. Mobile application-based citizen science initiatives can be harnessed to probe the state of our environment almost in real time and potentially guide conservation acts in the future.
Ladattava julkaisu This is an electronic reprint of the original article. |  |
Julkaisussa olevat rahoitustiedot:
Pauliina Schiestl-Aalto was funded by Academy of Finland Flagship Program (grant no. 337549). Otso Ovaskainen was funded by Academy of Finland (grant no. 336212 and 345110), and the European Union: The European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 856506: ERC-synergy project LIFEPLAN; and grant agreement No 101123091: ERC-PoC project Breaking the wall between professional science and citizen science by hyperautomation) and the HORIZON-INFRA-2021-TECH-01 project 101057437 (Biodiversity Digital Twin for Advanced Modelling, Simulation and Prediction Capabilities). The project also received internal funding from the University of Jyväskylä.
