Team
In an interdisciplinary team, we research and develop digital tools for the urban experience of nature. Beispielsweise erproben wir den Einsatz von Mustererkennung in der Artbestimmung. With our app Naturblick we support the direct experience of nature in the city. Mit vielfältigen Funktionen kannst du Natur in der Stadt erkunden, Tiere und Pflanzen bestimmen und deine Beobachtungen speichern.
- Ulrike Sturm (Projektleitung)
- Susan Karlebowski (Wissenschaftliche Mitarbeit)
- Martin Tscholl (Wissenschaftliche Mitarbeit)
- Petter Arvidsson (Full-Stack Entwicklung)
- Johannes Ebbighausen (Full-Stack Entwicklung)
- Mario Lasseck (Entwicklung Mustererkennung)
For nature
Only if we see ourselves as an active part of nature, learn to understand its mechanisms and work together for nature can we develop solutions to the greatest challenges of our time, climate change and the ongoing extinction of species, and initiate social change.
Human-nature relationships in the Anthropocene
Human-nature relationships in the Anthropocene Our research is part of the Human-Nature Relations in the Anthropocene working group at the Museum für Naturkunde Berlin in the Department of Society and Nature. The aim of the working group is to initiate social change in line with the Sustainable Development Goals.
Cooperations
We are pleased about the valuable cooperation with related projects and organizations and are always open to new collaborations. The Citizen Science project Garden Pollinators investigated how garden features and horticultural practices can promote wild bee diversity and support their pollination efficiency. If you are interested in a collaboration, please contact us at naturblick@mfn.berlin.
Open Source
Open source is important to us, which is why we are making the app freely available. This allows all users to view, modify, and further develop the source code. The app is available for iOS and Android at the following links:
Partner
During the pilot phase (March 2015 to May 2018) we were advised and supported by representatives of the following Berlin institutions in an advisory board:
- Botanical Garden and Botanical Museum Berlin
- Federal Ministry for the Environment, Nature Conservation and Nuclear Safety
- German Federation for the Environment and Nature Conservation (BUND) - Landesverband Berlin
- Grün Berlin GmbH
- GRÜNE LIGA Berlin e.V.
- Leibnitz Institute for Zoo and Wildlife Research in the Forschungsverbund Berlin e.V.
- NABU-Landesverband Berlin
- Ökowerk Berlin e.V.
- Senate Department for the Environment, Transport and Climate Protection
Former Team members
- Dr. Omid Khorramshahi (Software development)
- Oliver Adameck (student assistant)
- Tina Birnbach (student assistant)
- Alexander Buhl (App developer), now with Mediasphere for Nature
- Saskia Gennrich (Software developer)
- Gregor Hagedorn (Project Lead)
- Madeleine Hallmann (student assistant)
- Laura Hermlin-Leder (student assistant)
- Alice Kracht (student assistant)
- Anne Lange (student assistant)
- Joanna Mitchell (student assistant)
- Paul Pienkny (student assistant)
- Isabel Steglich (student assistant)
- Marcel Stehle (intern)
- Madeleine Dontschev (student assistant)
Awards
- Awarded by UN Decade of Biodiversity 2020
- Awarded by UN Decade of Biodiversity 2018
- Awarded by the German Council for Sustainable Development in the competition "Future, ready, go! - the Education Competition for Sustainability" 2017
- Awarded by the German Council for Sustainable Development "Werkstatt-N Projekt 2016
Funding
The project is funded by the German Federal Ministry for the Environment, Nature Conservation and Nuclear Safety (BMU). Duration: March 2015 to April 2021
Publications
Citizen Science
- Jäckel, D., Mortega, K.G., Darwin, S., Brockmeyer, U., Sturm, U., Lasseck, M., Moczek, N., Lehmann, G.U.C., Voigt-Heucke, S.L. (2023) Community engagement and data quality: Best practices and lessons learned from a citizen science project on birdsong. J. Ornithol. 164, 233–244. https://doi.org/10.1007/s10336-022-02018-8
- von Gönner, J., Herrmann, T. M., Bruckermann, T., Eichinger, M., Hecker, S., Klan, F., Lorke, J., Richter, A., Sturm, U., & Voigt-Heucke, S. (2023). Citizen science's transformative impact on science, citizen empowerment and socio-political processes. Socio-Ecological Practice Research, 5, 1–23. https://doi.org/10.1007/s42532-022-00136-4
- Planillo, A., Fiechter, L., Sturm. U., Voigt-Heucke, S., Kramer-Schadt S. (2021) Citizen science data for urban planning: comparing different sampling schemes for modelling urban bird distribution. Landscape and Urban Planning 211(6). https://doi.org/10.1016/j.landurbplan.2021.104098
- Sturm, U. und Tscholl, M. (2019). The role of digital user feedback in a user-centred development process in citizen science.Journal of Science Communication, 18 (1): 1-19. https://doi.org/10.22323/2.18010203
- Luna, S., Gold, M., Albert, A., Ceccaroni, L., Claramunt, B., Danylo, O., Haklay, M., Kottmann, R., Kyba, C., Piera, J., Radicchi, A., Schade, S., and Sturm, U. (2018) Developing mobile applications for environmental and biodiversity citizen science: considerations and recommendations. In: Joly, A., Vrochidis, S., Karatzas, K., Karppinen, A., Bonnet, P. (eds) Multimedia Tools and Applications for Environmental & Biodiversity Informatics. (pp. 9-30) Springer, Cham. https://link.springer.com/chapter/10.1007/978-3-319-76445-0_2
- Sturm, U., Moormann, A. und Faber, A. (2018) Mobile learning in environmental citizen science: An initial survey of current practice in Germany. it - Information Technology, 60(1), pp. 3-9. https://doi.org/10.1515/itit-2017-0021
- Sturm, U., Schade, S., Ceccaroni, L., Gold, M., Kyba, C., Claramunt, B., Haklay, M., Kasperowski, D., Albert, A., Piera, J., Brier, J., Kullenberg, C., Luna, S. (2018) Defining principles for mobile apps and platforms development in citizen science. Research Ideas and Outcomes 4: e23394. DOI: 10.3897/rio.4.e23394 (V2) https://riojournal.com/articles.php?id=23394
- Sturm, U., Schade, S., Ceccaroni, L., Gold, M., Kyba, C., Claramunt, B., Haklay, M., Kasperowski, D., Albert, A., Piera, J., Brier, J., Kullenberg, C., Luna, S. (2017) Defining principles for mobile apps and platforms development in citizen science. Research Ideas and Outcomes 3: e21283. DOI: 10.3897/rio.3.e21283 https://riojournal.com/articles.php?id=21283
Environmental education
- Moormann, A., Sturm, U. (2021) Naturerfahrung durch Citizen Science-Projekte. In: Gebhard U., Lude A., Möller A., Moormann A. (eds) Naturerfahrung und Bildung. Springer VS, Wiesbaden. https://doi.org/10.1007/978-3-658-35334-6_21
- Sturm, U., Voigt-Heucke, S., Mortega, K.G., Moormann, A. (2020) Die Artenkenntnis von Berliner Schüler_innen am Beispiel einheimischer Vögel. Zeitschrift für Didaktik der Naturwissenschaft. DOI: 10.1007/s40573-020-00117-8. https://link.springer.com/article/10.1007/s40573-020-00117-8
- Sturm, U. (2020) Mit dem Smartphone in die Natur. Chancen und Herausforderungen der digitalen Umweltbildung für Praxis und Forschung. Mitteilungen aus der Naturschutzakadmie, 31-33.
Pattern recognition and bioacoustics research
- Jäckel, D., Mortega, K.G., Darwin S., Brockmeyer, U., Sturm, U., Lasseck, M., Moczek N., Gerlind, U. C. Lehmann, Silke L. Voigt‑Heucke (2023) Community engagement and data quality: best practices and lessons learned from a citizen science project on birdsong. In: Journal of Ornithology 164, 233–244. DOI: 10.1007/s10336-022-02018-8. https://link.springer.com/article/10.1007/s10336-022-02018-8
- Wägele, JW., Bodesheim, P., Bourlat, S. J., Denzler, J., Diepenbroek, M., Fonseca, V., Frommolt, K.-H., Geiger, M.F., Gemeinholzer, B., Glöckner, F. O., Haucke, T., Kirse, A., Kölpin, A., Kostadinov, I., Kühl, H. S., Kurth, F., Lasseck, M., Liedke, S., Losch, F., Müller, S., Wildermann, S. (2022) Towards a multisensor station for automated biodiversity monitoring. In: Basic and Applied Ecology, Volume 59, 2022, ISSN 1439-1791. DOI: 10.1016/j.baae.2022.01.003. https://doi.org/10.1016/j.baae.2022.01.003
- Jäckel, D., Mortega, K.G., Sturm, U., Brockmeyer, U., Khorramshahi, O., Voigt-Heucke, S.L. (2021) Opportunities and limitations: A comparative analysis of citizen science and expert recordings for bioacoustic research. PLoS ONE 16(6): e0253763. https://doi.org/10.1371/journal.pone.0253763
- Stehle, M., Lasseck, M., Khorramshahi, O., Sturm, U. (2020) Evaluation of acoustic pattern recognition of nightingale (Luscinia megarhynchos) recordings by citizens. Research Ideas and Outcomes 6: e50233. DOI: 10.3897/rio.6.e50233. https://riojournal.com/article/50233/
- Lasseck, M. (2019) Bird Species Identification in Soundscapes. In: CEUR Workshop Proceedings. https://ceur-ws.org/Vol-2380/paper_86.pdf
- Bonnet, P., Goëau, H., Hang, S.T., Lasseck, M., Sulc, M., Malécot, V., Jauzein, P., Melet, J.C., You, C., Joly, A. (2018) Plant Identification: Experts vs. Machines in the Era of Deep Learning. In: Joly, A., Vrochidis, S., Karatzas, K., Karppinen, A., Bonnet, P. (eds) Multimedia Tools and Applications for Environmental & Biodiversity Informatics. Multimedia Systems and Applications. Springer, Cham. https://link.springer.com/chapter/10.1007/978-3-319-76445-0_8
- Lasseck, M. (2018) Acoustic Bird Detection with Deep Convolutional Neural Networks. In: Plumbley MD et al. (eds) Proceedings of the Detection and Classification of Acoustic Scenes and Events 2018 Workshop (DCASE2018), pp. 143-147, Tampere University of Technology. https://dcase.community/documents/challenge2018/technical_reports/DCASE2018_Lasseck_76.pdf
- Lasseck, M. (2018) Machines vs. Human Experts: Contribution to the ExpertLifeCLEF 2018 Plant Identification Task. In: CEUR Workshop Proceedings. https://ceur-ws.org/Vol-2125/paper_151.pdf
- Lasseck, M. (2018) Audio-based Bird Species Identification with Deep Convolutional Neural Networks. In: CEUR Workshop Proceedings. https://ceur-ws.org/Vol-2125/paper_140.pdf
- Lasseck, M. (2017) Image-based Plant Species Identification with Deep Convolutional Neural Networks. In: CEUR Workshop Proceedings., https://ceur-ws.org/Vol-1866/paper_174.pdf
- Lasseck, M. (2016) Improving Bird Identification using Multiresolution Template Matching and Feature Selection during Training. In: CEUR Workshop Proceedings. https://ceur-ws.org/Vol-1609/16090490.pdf
- Lasseck, M. (2015) Towards Automatic Large-Scale Identification of Birds in Audio Recordings. In: Mothe, J. et al. (eds) Experimental IR Meets Multilinguality, Multimodality, and Interaction. CLEF 2015. Lecture Notes in Computer Science, vol 9283. Springer, Cham. https://link.springer.com/chapter/10.1007/978-3-319-24027-5_39
Human-nature relationships in the Anthropocene
- Sturm, U., Heyne, E., Herrmann, E., Arends, B., Dieter, A.-L., Dorfman, E., Drauschke, F., Heller, N., Kahn, R., Kaiser, K., Koch, G., Kramar, N., Mansilla Sánchez, A., Mauelshagen. F., Nadim, T., Pell, R., Petersen, M., Schmidt-Loske, K., Scholz, H., Sterling, C., Trischler, H., Wagner, S. (2022) Anthropocenic Objects. Collecting Practices for the Age of Humans. Research Ideas and Outcomes 8: e89446. https://doi.org/10.3897/rio.8.e89446
- Tscholl, M. & Sturm, U. (2022) Posting nature: A critical perspective on analysing cultural ecosystem services on Instagram. Journal of Environmental Media, 3 (2): 255 - 271. https://doi.org/10.1386/jem_00089_1
- Tscholl, M., Weißpflug, M., Wedel, M., Sturm, U. (2022) People and nature – fostering inter- and transdisciplinary collaboration for biodiversity and sustainable human interactions. Innovation: The European Journal of Social Science Research, 35(3). https://doi.org/10.1080/13511610.2022.2104784
- Tscholl, M., Weißpflug, M., Wedel, M. & Sturm, U. (Hrsg.) (2022) ‘Special Issue: People and Nature’, Innovation: The European Journal of Social Science Research, Volume 35, Issue 3 (2022)