Items where Subject is "Institute of Data Science > Data Analysis and Intelligence"

Adam, Markus Roland and Borries, Claudia and Dubois, Clemence and Gerhardus, Andreas and Günther, Wiebke and Hochsprung, Tom and Kim, Junsu and Müller, Marlin and Papathanassiou, Konstantinos and Reichenzeller, Eva and Sato, Hiroatsu and Schneider, Helen and Thiel, Christian and Wendt, Vivien (2024) Mustererkennung und Kausale Inferenz für Forschung im Bereich Weltraumwetter. 6. Nationaler Weltraumwetterworkshop, 2024-09-24 - 2024-09-26, Neustrelitz, Deutschland. Volltext nicht online.

Adam, Markus Roland and Marquardt, Max and Müller, Marlin and Dietenberger, Steffen and Leiber, Julian and Dubois, Clemence and Thiel, Christian (2024) Enhancing Coastal Resilience: UAV-based Deep Learning for Advanced Dike and Vegetation Monitoring. UAV-based Remote Sensing Methods for Monitoring Vegetation, 2024-09-30 - 2024-10-01, Köln, Deutschland. (Unpublished) Volltext nicht frei.

Arslanova, Linara and Dubois, Clemence and Salepci, Nesrin and Pathe, Carsten and Scheibler, Friedemann and Fölsch, Marcel and Urban, Marcel and Schmullius, C. (2023) Impact of Plant Row Orientation on Sentinel-1 Backscatter Time-Series of Agricultural Fields. In: 2023 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023, pp. 3422-3425. IGARSS 2023, 2023-07-17 - 2023-07-21, Pasadena, California, USA. doi: 10.1109/IGARSS52108.2023.10283078. ISBN 979-835032010-7. ISSN 2153-6996. Volltext nicht frei.

Balasis, Georgios and Balikhin, Michael A and Chapman, Sandra C and Consolini, Giuseppe and Daglis, Ioannis A and Donner, Reik V and Kurths, Jürgen and Palu\v, Milan and Runge, Jakob and Tsurutani, Bruce T and Vassiliadis, Dimitris and Wing, Simon and Gjerloev, Jesper W. and Johnson, Jay and Materassi, Massimo and Alberti, Tommaso and Papadimitriou, Constantinos and Manshour, Pouya and Boutsi, Adamantia Zoe and Stumpo, Mirko (2023) Complex systems methods characterizing nonlinear processes in the near-earth electromagnetic environment: Recent advances and open challenges. Space Science Reviews, 219 (5), p. 38. Springer. doi: 10.1007/s11214-023-00979-7. ISSN 0038-6308.

Bing, Simon and Hochsprung, Tom and Wahl, Jonas and Ninad, Urmi and Runge, Jakob (2024) Invariance & Causal Representation Learning: Prospects and Limitations. Transactions of Machine Learning Research. Transactions of Machine Learning Research (TMLR). ISSN 2835-8856.

Bing, Simon and Ninad, Urmi and Wahl, Jonas and Runge, Jakob (2024) Identifying Linearly-Mixed Causal Representations from Multi-Node Interventions. In: 3rd Conference on Causal Learning and Reasoning, CLeaR 2024, pp. 843-867. Proceedings of Machine Learning Research. Causal Learning and Reasoning, 2024-04-01 - 2024-04-03, Los Angeles, USA. ISSN 2640-3498. Volltext nicht online.

Bodesheim, Paul and Blunk, Jan and Körschens, Matthias and Brust, Clemens-Alexander and Käding, Christoph and Denzler, Joachim (2022) Pre-trained models are not enough: active and lifelong learning is important for long-term visual monitoring of mammals in biodiversity research—Individual identification and attribute prediction with image features from deep neural networks and decoupled decision models applied to elephants and great apes. Mammalian Biology. Springer. doi: 10.1007/s42991-022-00224-8. ISSN 1616-5047.

Bouhlal, Badr-Eddine and Gruner, Bernd and Sonnekalb, Tim and Brust, Clemens-Alexander (2022) Machine Learning Applications in Secure Software Engineering. WissensAustauschWorkshop Machine Learning, 2022-11-07 - 2022-11-09, Jena, Deutschland.

Boyé, Pascal (2022) Betrachtung der Gradientenbestimmung für den Adam Algorithmus. Bachelor's, Technische Universität Ilmenau. Volltext nicht frei.

Brust, Clemens-Alexander and Barz, Björn and Denzler, Joachim (2022) Self-Supervised Learning from Semantically Imprecise Data. In: 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2022, 5, pp. 27-35. SCITEPRESS. Computer Vision Theory and Applications (VISAPP), 2022-02-06 - 2022-02-08, Online. doi: 10.5220/0010766700003124. ISBN 978-989-758-555-5. ISSN 2184-4321.

Camps-Valls, Gustau and Gerhardus, Andreas and Ninad, Urmi and Varando, Gherardo and Martius, Georg and Balaguer-Ballester, Emili and Vinuesa, Ricardo and Diaz, Emiliano and Zanna, Laure and Runge, Jakob (2023) Discovering causal relations and equations from data. Physics Reports, 1044, pp. 1-68. Elsevier. doi: 10.1016/j.physrep.2023.10.005. ISSN 0370-1573.

Chamarthi, Sireesha and Fogelberg, Katharina and Brinker, Titus J. and Niebling, Julia (2023) Mitigating the influence of domain shift in skin lesion classification: A benchmark study of unsupervised domain adaptation methods. Informatics in Medicine Unlocked, 44, p. 101430. Elsevier. doi: 10.1016/j.imu.2023.101430. ISSN 2352-9148.

Chamarthi, Sireesha and Fogelberg, Katharina and Gawlikowski, Jakob and Brinker, Titus J (2024) Few-shot learning for skin lesion classification: A prototypical networks approach. Informatics in Medicine Unlocked, 48. Elsevier. doi: 10.1016/j.imu.2024.101520. ISSN 2352-9148.

Chamarthi, Sireesha and Fogelberg, Katharina and Niebling, Julia (2022) Domain Shifts in Dermoscopic Datasets. Wissensaustausch- Workshop Machine Learning 8, 2022-11-07 - 2022-11-09, Jena, Germany.

Debeire, Kevin and Gerhardus, Andreas and Runge, Jakob and Eyring, Veronika (2024) Bootstrap aggregation and confidence measures to improve time series causal discovery. In: 3rd Conference on Causal Learning and Reasoning, CLeaR 2024, 236, pp. 979-1007. 3rd Conference on Causal Learning and Reasoning, CLeaR 2024 (Scopus; ISSN: 2640-3498), 2024-04-01, Los Angeles, USA. ISSN 2640-3498.

Dietenberger, Steffen and Mueller, Marlin M. and Adam, Markus Roland and Bachmann, Felix and Stöcker, Boris and Hese, Sören and Dubois, Clemence and Thiel, Christian (2024) DIGITAL FOREST INVENTORY BASED ON UAV IMAGERY. In: 2024 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2024. IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2024, 2024-07-07 - 2024-07-12, Athens, Greece. doi: 10.1109/IGARSS53475.2024.10641040. ISBN 979-8-3503-6032-5. ISSN 2153-7003. Volltext nicht online.

Dietenberger, Steffen and Mueller, Marlin M. and Adam, Markus Roland and Stöcker, Boris and Bachmann, Felix and Hese, Sören and Dubois, Clemence and Thiel, Christian (2024) DIGITAL FOREST INVENTORY BASED ON UAV IMAGERY: Derivation of diameter at breast height using the cast shadow of trees stems. ForestSAT 2024, 2024-09-09 - 2024-09-13, Rotorua, New Zealand. Volltext nicht online.

Dietenberger, Steffen and Mueller, Marlin M. and Bachmann, Felix and Nestler, Maximilian and Ziemer, Jonas and Metz, Friederike and Heidenreich, Marius G. and Koebsch, Frankziska and Hese, Sören and Dubois, Clémence and Thiel, Christian (2023) Tree Stem Detection and Crown Delineation in a Structurally Diverse Deciduous Forest Combining Leaf-On and Leaf-Off UAV-SfM Data. Remote Sensing, 15 (18). Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/rs15184366. ISSN 2072-4292.

Dietenberger, Steffen and Mueller, Marlin M. and Henkel, Andreas and Dubois, Clemence and Thiel, Christian and Hese, Sören (2025) Mapping Habitat Structures of Endangered Open Grassland Species (E. aurinia) Using a Biotope Classification Based on Very High-Resolution Imagery. Remote Sensing. Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/rs17010149. ISSN 2072-4292.

Dietenberger, Steffen and Müller, Marlin and Adam, Markus and Bachmann, Felix and Metz, Friederike and Nestler, Maximilian and Hese, Sören and Thiel, Christian (2023) Digital forest inventory based on UAV imagery. European Geosciences Union General Assembly 2023, 2023-04-23 - 2023-04-28, Wien, Österreich. Volltext nicht online.

Dubois, Clemence and Ziemer, Jonas and Jänichen, Jannik and Stumpf, Natascha and Liedel, Christoph and Sabrowski, Michael and Schmullius, Christiane (2024) Dam Monitoring with Ground Motion Services – A Case Study of a Gravity Dam with the German Ground Motion Service. In: 2024 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2024, pp. 4670-4673. IGARSS 2024, 2024-07-07 - 2024-07-12, Athen, Griechenland. doi: 10.1109/IGARSS53475.2024.10641662. ISBN 979-8-3503-6032-5. ISSN 2153-7003. Volltext nicht frei.

Engelbrecht, Sophie (2024) Analyse der Buchenbestandslückendynamik im Hainich Nationalpark zwischen 2018 und 2023 mittels räumlich hochauflösender Luftbilddaten und Bestandshöhenmodellen. Magisterarbeit, Friedich-Schiller-Universität Jena. Volltext nicht online.

Ertmer, Markus Till (2023) Domain Shifts and Interpretability in AI-based Skin Cancer Diagnosis. Master's, Ernst-Abbe-Hochschule Jena.

Fauerbach, Tim (2023) Web-basiertes Tool zur Visualisierung und Analyse von Punktwolken aus unterschiedlichen Datenquellen. Master's, Goethe-Universität Frankfurt am Main. Volltext nicht online.

Fischer, Tobias Merlin (2023) Shapelet based clustering and anomaly detection for compromised, noisy and missing multivariate time series. Master's, Technische Universität Ilmenau.

Fitri, Auliya Unnisa (2024) Towards Trustworthy AI: Interpretable and Uncertainty Aware Object Recognition. WissensAustauschWorkshop Machine Learning 10, 2024-09-23 - 2024-09-25, Dresden, Germany. Volltext nicht frei.

Fogelberg, Katharina and Chamarthi, Sireesha and Maron, Roman C. and Niebling, Julia and Brinker, Titus J. (2023) Domain shifts in dermoscopic skin cancer datasets: Evaluation of essential limitations for clinical translation. New Biotechnology, 76, pp. 106-117. Elsevier. doi: 10.1016/j.nbt.2023.04.006. ISSN 1871-6784.

Fons, Emilie and Runge, Jakob and Neubauer, David and Lohmann, Ulrike (2023) Stratocumulus adjustments to aerosol perturbations disentangled with a causal approach. npj Climate and Atmospheric Science, 6 (1), p. 130. Springer. doi: 10.1038/s41612-023-00452-w. ISSN 2397-3722.

Franke, Katharina (2022) Bestimmung von Baumarten aus hochaufgelösten multispektralen Drohnendaten im Hainich-Nationalpark. Bachelor's, Friedrich-Schiller-Universität Jena. Volltext nicht online.

Galytska, Evgenia and Weigel, Katja and Handorf, Dörthe and Jaiser, Ralf and Köhler, Raphael and Runge, Jakob and Eyring, Veronika (2023) Evaluating Causal Arctic‐Midlatitude Teleconnections in CMIP6. Journal of Geophysical Research: Atmospheres, 128 (17). Wiley. doi: 10.1029/2022JD037978. ISSN 2169-897X.

Gawlikowski, Jakob and Ebel, Patrick and Schmitt, Michael and Zhu, Xiao Xiang (2022) Explaining the Effects of Clouds on Remote Sensing Scene Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15, pp. 9976-9986. IEEE - Institute of Electrical and Electronics Engineers. doi: 10.1109/JSTARS.2022.3221788. ISSN 1939-1404.

Gawlikowski, Jakob and Gottschling, Nina Maria (2024) Efficient Data Source Relevance Quantification for Multi-Source Neural Networks. In: British Machine Vision Conference, BMVC 2024. British Machine Vision Conference (BMVC), 2024-11-25 - 2024-11-28, Glasgow, Schottland. Volltext nicht online.

Gawlikowski, Jakob and Gottschling, Nina Maria (2024) On the Relevance of SAR and Optical Modalities in Deep Learning-Based Data Fusion. ICLR 2024 Machine Learning for Remote Sensing (ML4RS) Workshop, 2024-05-07 - 2024-05-11, Wien, Österreich.

Gawlikowski, Jakob and Saha, Sudipan and Niebling, Julia and Zhu, Xiao Xiang (2022) Robust Distribution-Shift Aware Sar-Optical data Fusion for Multi-Label Scene Classification. In: International Geoscience and Remote Sensing Symposium (IGARSS), pp. 911-914. IEEE - Institute of Electrical and Electronics Engineers. IGARSS 2022, 2022-07-17 - 2022-07-22, Kuala Lumpur, Malaysia. doi: 10.1109/IGARSS46834.2022.9884880.

Gawlikowski, Jakob and Tassi, Cedrique Rovile Njieutcheu and Ali, Mohsin and Lee, Jongseok and Humt, Matthias and Feng, Jianxiang and Kruspe, Anna and Triebel, Rudolph and Jung, Peter and Roscher, Ribana and Shahzad, Muhammad and Yang, Wen and Bamler, Richard and Zhu, Xiao Xiang (2023) A survey of uncertainty in deep neural networks. Artificial Intelligence Review, 56, pp. 1513-1589. Springer Nature. doi: 10.1007/s10462-023-10562-9. ISSN 0269-2821.

Gerhardus, Andreas (2022) Reliable causal discovery in time series. Workshop on Artificial Intelligence, Causality and Personalised Medicine (AICPM 2022), 2022-09-08 - 2022-09-09, Hybrid (Hannover, Deutschland, und online).

Gerhardus, Andreas (2022) Kausale Inferenz: Datengetriebene Analyse von Ursache-Wirkungs-Zusammenhängen. Herbsttagung 2022 der German Data Science Society e.V., 2022-11-16, Bonn, Deutschland. Volltext nicht frei.

Gerhardus, Andreas (2022) Learning cause-and-effect relationships from time series data. 1st Causal Methods in Environmental Science Workshop, 2022-12-06 - 2022-12-07, Hybrid (Cambridge, UK, und online). Volltext nicht frei.

Gerhardus, Andreas (2023) Novel developments in causal graphical models for time series. Seminarvortrag am Lehrstuhl für Mathematische Statistik der Technischen Universität München, 2023-11-06, Garching bei München. (Unpublished) Volltext nicht online.

Gerhardus, Andreas (2024) Characterization of causal ancestral graphs for time series with latent confounders. Annals of Statistics, 52 (1), pp. 103-130. Institute of Mathematical Statistics. doi: 10.1214/23-AOS2325. ISSN 0090-5364.

Gerhardus, Andreas and Minneker, Björn and Hansen, Jonas (2024) Hybrid Quantum-HPC and the project QCoKaIn. DLR QCI All Hands, 2024-11-18, Hamburg, Deutschland. Volltext nicht online.

Gerhardus, Andreas and Runge, Jakob (2022) Numerical study of constraint-based time series causal discovery algorithms on synthetic data with heavy-tailed noise distributions. Workshop on Combining Causal Inference and Extreme Value Theory in the Study of Climate Extremes and their Causes, 2022-06-26 - 2022-07-01, Hybrid (Kelowna, Kanada, und virtuell). Volltext nicht online.

Gerhardus, Andreas and Runge, Jakob (2022) Causal Discovery in Ensembles of Climate Time Series. EGU General Assembly 2022, 2022-05-23 - 2022-05-27, Hybrid (Wien, Östereich, und virtuell). doi: 10.5194/egusphere-egu22-6958. Volltext nicht online.

Giesen, Joachim and Lucas, Philipp and Pfeiffer, Linda and Schmalwasser, Laines and Lawonn, Kai (2024) The whole and its parts: Visualizing Gaussian mixture models. Visual Informatics, 8 (2), pp. 67-79. Elsevier. doi: 10.1016/j.visinf.2024.04.005. ISSN 2468-502X.

Guo, Fang and Zhang, Pei and Do, Vivian and Runge, Jakob and Zhang, Kun and Han, Zheshen and Deng, Shenxi and Lin, Hongli and Ali, Sheikh Taslim and Chen, Ruchong and Guo, Yuming and Tian, Linwei (2024) Ozone as an environmental driver of influenza. Nature Communications, 15 (1). Nature Publishing Group. ISSN 2041-1723. Volltext nicht online.

Günther, Wiebke (2023) Causal Discovery for time series from multiple datasets with latent contexts. In: 39th Conference on Uncertainty in Artificial Intelligence, UAI 2023. Causal inference for time series data Workshop at UAI 2023, 2023-08-04, Pittsburgh, USA. ISSN 2640-3498. Volltext nicht online.

Günther, Wiebke and Miersch, Peter and Ninad, Urmi and Runge, Jakob (2023) Clustering of causal graphs to explore drivers of river discharge. In: Environmental Data Science, 2, pp. 1-9. Cambridge University Press. 12th International Conference on Climate Informatics, 2023-04-19 - 2023-04-21, Cambridge, England. doi: 10.1017/eds.2023.17.

Günther, Wiebke and Ninad, Urmi and Runge, Jakob (2023) Causal Discovery for time series from multiple datasets with latent contexts. In: 39th Conference on Uncertainty in Artificial Intelligence, UAI 2023 (216), pp. 766-776. Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, 2023-08-01 - 2023-08-03, Pittsburgh, USA. ISSN 2640-3498.

Günther, Wiebke and Ninad, Urmi and Wah, Jonas and Runge, Jakob (2022) Conditional Independence Testing with Heteroskedastic Data and Applications to Causal Discovery. In: 36th Conference on Neural Information Processing Systems, NeurIPS 2022, pp. 16191-16202. Thirty-sixth Conference on Neural Information Processing Systems, 2022-11-28 - 2022-12-04, New Orleans, Vereinigte Staaten von Amerika. ISBN 978-171387108-8. ISSN 1049-5258.

Gütter, Jonas Aaron and Kruspe, Anna and Zhu, Xiao Xiang and Niebling, Julia (2022) Impact of Training Set Size on the Ability of Deep Neural Networks to Deal with Omission Noise. Frontiers in Remote Sensing, 3, p. 932431. Frontiers Media S.A.. doi: 10.3389/frsen.2022.932431. ISSN 2673-6187.

Gütter, Jonas Aaron and Niebling, Julia and Zhu, Xiao Xiang (2022) Analysing the interactions between training dataset size, label noise and model performance in remote sensing data. In: 2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022, pp. 303-306. IGARSS 2022, 2022-07-17 - 2022-07-22, Kuala Lumpur, Malaysia. doi: 10.1109/IGARSS46834.2022.9884570. ISBN 978-166542792-0.

Gütter, Jonas Aaron and Ulman, Hannah and Niebling, Julia (2022) Using Predictive Uncertainty for Cleaning Noisy Annotations. WAW Machine Learning 8, 2022-11-07 - 2022-11-09, Jena, Deutschland.

Hochsprung, Tom and Runge, Jakob and Gerhardus, Andreas (2024) A Global Markov Property for Solutions of Stochastic Difference Equations and the corresponding Full Time Graphs. In: 40th Conference on Uncertainty in Artificial Intelligence, 244, pp. 1698-1726. Proceedings of Machine Learning Research. Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, 2024-07-15 - 2024-07-19, Barcelona, Spanien.

Hochsprung, Tom and Wahl, Jonas and Gerhardus, Andreas and Ninad, Urmi and Runge, Jakob (2023) Increasing Effect Sizes of Pairwise Conditional Independence Tests between Random Vectors. In: 39th Conference on Uncertainty in Artificial Intelligence, UAI 2023 (216), pp. 879-889. 39th Conference on Uncertainty in Artificial Intelligence, 2023-08-01 - 2023-08-03, Pittsburgh, PA, USA. ISSN 2640-3498. Volltext nicht online.

Ickler, Christian (2024) Feature Steering via Multi-Task Learning. Master's, Friedrich-Schiller-Universität Jena. Volltext nicht frei.

Jänichen, Jannik and Stumpf, Natascha and Liedel, Christoph and Sabrowski, Michael and Schmullius, Christiane and Dubois, Clemence (2024) Vergleich von Bodenbewegungen mit In-situ Messungen zur Überwachung von Deformationen an Staubauwerken in Thüringen. In: Messtechnische Überwachung von Stauanlagen: XIII. Mittweidaer Talsperrentag. XIII. Mittweidaer Talsperrentag, 2024-04-09 - 2024-04-10, Mittweida, Deutschland.

Jänichen, Jannik and Ziemer, Jonas and Wicker, Carolin and Klöpper, Daniel and Last, Katja and Wolsza, Marco and Schmullius, Christiane and Dubois, Clemence (2024) Enhancing Dam Monitoring: Utilizing the CR-Index for Electronic Corner Reflector (ECR) Site Selection and PSI Analysis. In: 2024 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2024. IGARSS 2024, 2024-07-07 - 2024-07-12, Athen, Griechenland. ISBN 979-8-3503-6032-5. ISSN 2153-7003.

Jänichen, Jannik and Ziemer, Jonas and Wolsza, Marco and Klöpper, Daniel and Weltmann, Sebastian and Wicker, Carolin and Last, Katja and Schmullius, C. and Dubois, Clemence (2025) Towards Operational Dam Monitoring with PS-InSAR and Electronic Corner Reflectors. Remote Sensing, 17 (7). Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/rs17071318. ISSN 2072-4292.

Kaeding, Christoph and Runge, Jakob (2023) Distinguishing Cause and Effect in Bivariate Structural Causal Models: A Systematic Investigation. Journal of Machine Learning Research, 24 (278), pp. 1-144. Microtome Publishing. ISSN 1532-4435.

Kaltenborn, Julia and Lange, Charlotte Emilie Elektra and Ramesh, Venkatesh and Brouillard, Philippe and Gurwicz, Yaniv and Nagda, Chandni and Runge, Jakob and Nowack, Peer and Rolnick, David (2023) Climateset: A large-scale climate model dataset for machine learning. In: 37th Conference on Neural Information Processing Systems, NeurIPS 2023, pp. 21757-21792. Advances in Neural Information Processing Systems. Thirty-seventh Conference on Neural Information Processing Systems, 2023-12-10, New Orleans, USA. ISSN 1049-5258. Volltext nicht online.

Karmouche, Soufiane and Galytska, Evgenia and Meehl, Gerald A. and Runge, Jakob and Weigel, Katja and Eyring, Veronika (2024) Changing effects of external forcing on Atlantic-Pacific interactions. Earth System Dynamics, 15 (3), pp. 689-715. Copernicus Publications. doi: 10.5194/esd-15-689-2024. ISSN 2190-4979.

Karmouche, Soufiane and Galytska, Evgenia and Runge, Jakob and Meehl, Gerald A. and Phillips, Adam S. and Weigel, Katja and Eyring, Veronika (2023) Regime-oriented causal model evaluation of Atlantic-Pacific teleconnections in CMIP6. Earth System Dynamics, 14 (2), pp. 309-344. Copernicus Publications. doi: 10.5194/esd-14-309-2023. ISSN 2190-4979.

Koebsch, Frankziska and Mund, Martina and Klosterhalfen, Anne and Dietenberger, Steffen and Donfack, Laura and Heidenreich, Marius and Markwitz, Christian and Montero, David and Thiel, Christian and Tiedemann, Frank and Knohl, Alexander (2023) Stress response and transformation processes initiated by the summer drought 2018 - a multi-scale study from the Hainich forest. European Geosciences Union General Assembly 2023, 2023-04-23 - 2023-04-28, Wien, Österreich. doi: 10.5194/egusphere-egu23-14520. Volltext nicht online.

Koebsch, Franziska and Klosterhalfen, Anne and Emad, Anas and Mund, Martina and Ammer, Christian and Dietenberger, Steffen and Donfack, Laura and Heidenreich, Marius and Mueller, Marlin M. and Seidel, Dominik and Thiel, Christian and Tiedemann, Frank and Knohl, Alexander (2024) Dynamics in CO2 uptake, growth, and mortality of an old-growth temperate forest under drought stress. EGU General Assembly 2024, 2024-04-14 - 2024-04-19, Vienna, Austria. doi: 10.5194/egusphere-egu24-15114. Volltext nicht online.

Krich, Christopher and Mahecha, Miguel and Migliavacca, Mirco and De Kauwe, Martin G and Griebel, Anne and Runge, Jakob and Miralles, Diego G (2022) Decoupling between ecosystem photosynthesis and transpiration: a last resort against overheating. Environmental Research Letters. Institute of Physics (IOP) Publishing. doi: 10.1088/1748-9326/ac583e. ISSN 1748-9326.

Marquardt, Max (2024) Erprobung und Bewertung von Methoden zur Landoberflächen- und Vegetationsklassifizierung auf Basis von UAV-Aufnahmen eines Deichsystems an der Nordseeküste. Master's, Friedrich-Schiller-Universität Jena. Volltext nicht online.

Minneker, Björn and Gerhardus, Andreas and Hansen, Jonas (2024) QCoKaIn, Hybrid Quantum High-Performance Computing using Causal Inference. DLR QCI Showcase Hamburg, 2024-11-18, Hamburg, Deutschalnd. Volltext nicht online.

Minneker, Björn and Rauch, Marc (2024) QCoKaIn, Hybrid Quantum-High-Performance-Computing together with Causal Inference. Internationale Luft- und Raumfahrt Ausstellung, 2024-06-05 - 2024-06-07, Berlin, Deutschland. Volltext nicht online.

Mueller, Marlin M. and Dietenberger, Steffen and Nestler, Maximilian and Dubois, Clemence and Kaiser, Soraya and Lenz, Josefine and Langer, Moritz and Fritz, Oliver and Marx, Sabrina and Thiel, Christian (2024) UNDERCOVEREISAGENTEN - INTEGRATING LOW-COST UAVS AND COMMUNITY INSIGHTS FOR ENHANCED PERMAFROST MONITORING. In: 2024 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2024, pp. 3893-3896. IEEE. IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, 2024-07-07 - 2024-07-12, Athens, Greece. doi: 10.1109/IGARSS53475.2024.10642540. ISBN 979-8-3503-6032-5. ISSN 2153-7003. Volltext nicht online.

Mueller, Marlin M. and Dietenberger, Steffen and Nestler, Maximilian and Hese, Sören and Ziemer, Jonas and Bachmann, Felix and Leiber, Julian and Dubois, Clemence and Thiel, Christian (2023) Novel UAV Flight Designs for Accuracy Optimization of Structure from Motion Data Products. Remote Sensing, 15 (17). Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/rs15174308. ISSN 2072-4292.

Mueller, Marlin M. and Thiel, Christian and Kaiser, Soraya and Lenz, Josefine and Langer, Moritz and Fritz, Oliver and Marx, Sabrina (2024) High-resolution UAV Orthomosaic and DSM Dataset - Blueberry Hill (Aklavik, NWT, CA) 5 cm GSD [2022]. Zenodo. [Other] Volltext nicht online.

Mueller, Marlin M. and Thiel, Christian and Kaiser, Soraya and Lenz, Josefine and Langer, Moritz and Lantuit, Hugues and Marx, Sabrina and Fritz, Oliver and Zipf, Alexader (2023) UndercoverEisAgenten - Monitoring Permafrost Thaw in the Arctic using Local Knowledge and UAVs. European Geosciences Union (EGU) General Assembly, 2023-04-24 - 2023-04-28, Wien, Österreich. Volltext nicht online.

Mueller, Marlin M. and Thiel, Christian and Klan, Friederike and Lenz, Josefine and Kaiser, Soraya and Langer, Moritz and Lantuit, Hugues and Marx, Sabrina and Fritz, Oliver and Zipf, Alexader (2023) UNDERCOVEREISAGENTEN - ERSTE EXPEDITION UND AKTUELLER STAND DES ARKTISCHEN PERMAFROSTPROJEKTS. Österreichische Citizen Science Konferenz 2023, 2023-04-19 - 2023-04-21, Linz, Österreich.

Niebling, Julia (2022) A multiobjective view on creating counterfactual explanations for explaining uncertainty in machine learning. [Other]

Njieutcheu Tassi, Cedrique Rovile and Gawlikowski, Jakob and Fitri, Auliya Unnisa and Triebel, Rudolph (2022) The impact of averaging logits over probabilities on ensembles of neural networks. In: 2022 Workshop on Artificial Intelligence Safety, AISafety 2022, 3215 (19). AISafety 2022: Workshop on Artificial Intelligence Safety, 2022-07-23 - 2022-07-25, Vienna, Austria. ISSN 1613-0073. Volltext nicht frei.

Nussbaum, Frank / FN and Gawlikowski, Jakob / JG and Niebling, Julia (2022) Structuring Uncertainty for Fine-Grained Sampling in Stochastic Segmentation Networks. In: 2022 International Joint Conference on Neural Networks, IJCNN 2022. Conference on Neural Information Processing Systems (NeuRIPS), 2022-11-28 - 2022-12-09, New Orleans. ISBN 978-1-7281-8671-9. ISSN 2161-4393. Volltext nicht frei.

Olbrich, Stephan (2024) Uncertainty Quantification in CLIP using Ensemble Methods. Master's, Friedrich Schiller Universität Jena. Volltext nicht online.

Philpot, Claudia and Vrakking, Vincent and Schubert, Daniel and Aksteiner, Niklas and Strowik, Christian and Ksenik, Eugen and Sasaki, Kaname and Toth, Norbert and Franke, Michel Fabien and Bunchek, Jess Marie and Bornemann, Gerhild and Holbeck, Ilse Marie and Fonseca Prince, Andre and Rewicki, Ferdinand (2024) DLR-ESA LUNA Greenhouse: from Antarctica to Europe's Lunar Analog Facility. International Space Station Research & Development Conference, 2024-07-30 - 2024-08-01, Boston, USA.

Pickert, Frabrice (2025) Luftbild basiertes Monitoring der Buchendegradation in historischen Parkarealen in Potsdam. Master's, Friedrich-Schiller-Universität Jena. Volltext nicht online.

Popescu, Oana and Günther, Wiebke and Hamed, Raed and Schumacher, Dominik and Rabel, Martin and Coumou, Dim and Runge, Jakob (2024) Understanding drivers of climate extremes using regime-specific causal graphs.Tutorials Track. ICLR 2024 Workshop: Tackling Climate Change with Machine Learning, 2024-05-11, Wien, Österreich.

Rabel, Martin and Popescu, Oana and Runge, Jakob (2023) Hands-On Session on Causal Mediation Analysis & Corresponding Poster. XAIDA General Assembly 2023, 2023-10-16 - 2023-10-18, Valencia, Spain. (Unpublished) Volltext nicht frei.

Reichenzeller, Eva (2025) Vergleich luftgestützter Daten anhand der Ermittlung vertikaler Waldstrukturparameter. Bachelor's, Friedrich-Schiller-Universität Jena. Volltext nicht online.

Reimers, Christian and Bodesheim, Paul and Runge, Jakob and Denzler, Joachim (2022) Conditional Adversarial Debiasing: Towards Learning Unbiased Classifiers from Biased Data. In: 43rd DAGM German Conference on Pattern Recognition, DAGM GCPR 2021, 13024. Springer, Cham. 43rd DAGM German Conference for Pattern Recognition, 2021-09-28 - 2021-10-01, Bonn, Deutschland. doi: 10.1007/978-3-030-92659-5_4. ISBN 978-3-030-92658-8. ISSN 0302-9743. Volltext nicht online.

Reiter, Nicolas-Domenic and Gerhardus, Andreas and Wahl, Jonas and Runge, Jakob (2024) Causal inference in time and frequency on process graphs. CAUSE Junior Researcher Day Spring 2024, 2024-04-11, München, Deutschland. Volltext nicht online.

Rewicki, Ferdinand (2023) Machine Learning for Space Gardening. Seminar "Maschinelles Lernen", 2023-05, Jena, Germany. (Unpublished) Volltext nicht online.

Rewicki, Ferdinand (2024) Unraveling Anomalies in Time (Version 1.0.0). [Other] Volltext nicht online.

Rewicki, Ferdinand and Denzler, Joachim and Niebling, Julia (2023) Is It Worth It? Comparing Six Deep and Classical Methods for Unsupervised Anomaly Detection in Time Series. Applied Sciences. Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/app13031778. ISSN 2076-3417.

Rewicki, Ferdinand and Denzler, Joachim and Niebling, Julia (2023) Unsupervised Anomaly Detection for Space Gardening. Advances in Artificial Intelligence for Aerospace Engineering, 2023-05-30, Paris. (Unpublished) Volltext nicht online.

Rewicki, Ferdinand and Denzler, Joachim and Niebling, Julia (2023) Unsupervised Anomaly Detection for Space Gardening. Data Science Day Jena 2023, 2023-05-10, Jena, Germany.

Rewicki, Ferdinand and Gawlikowski, Jakob (2022) Estimating Uncertainty of Deep Learning Multi-Label Classifications Using Laplace Approximation. In: 2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022, pp. 1560-1563. IEEE. IGARSS 2022 - IEEE International Geoscience and Remote Sensing Symposium, 2022-07-17 - 2022-07-22, Kuala Lumpur, Malaysia. doi: 10.1109/IGARSS46834.2022.9884167. ISBN 978-166542792-0. ISSN 2153-7003. Volltext nicht online.

Rewicki, Ferdinand and Gawlikowski, Jakob and Niebling, Julia and Denzler, Joachim (2024) Unraveling Anomalies in Time: Unsupervised Discovery and Isolation of Anomalous Behavior in Bio-regenerative Life Support System Telemetry. In: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2024, 9 (14949), pp. 207-222. Springer Cham. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) 2024, 2024-09-09 - 2024-09-13, Vilnius, Lithuania. doi: 10.1007/978-3-031-70378-2_13. ISBN 978-303170377-5. ISSN 0302-9743.

Rewicki, Ferdinand and Norman, Tom and Vrakking, Vincent (2024) edeniss2020 Telemetry Dataset (Version 1.0.0). [Other] Volltext nicht online.

Runge, Jakob (2021) Necessary and sufficient graphical conditions for optimal adjustment sets in causal graphical models with hidden variables. In: 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Curran Associates, Inc.. Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021), 2021-12-06 - 2021-12-14, Virtuell. ISBN 978-171384539-3. ISSN 1049-5258.

Runge, Jakob (2022) Causal Inference and discovery with perspectives in Earth sciences. CMU/STAMPS webinar, 2022-04-22, Pittsburgh, USA (virtuell). Volltext nicht online.

Runge, Jakob (2022) Causal Inference and discovery. Simulation-based Science Community Series, 2022-04, Amsterdam, Niederlande. Volltext nicht online.

Runge, Jakob (2022) Causal Inference and discovery. causality conference at Madrid, 2022-05, Madrid, Spanien. Volltext nicht online.

Runge, Jakob (2022) Causal Inference and discovery with perspectives in Earth sciences. Aspen workshop Exploring the frontiers in Earth system modeling with machine learning and big data, 2022-06-05 - 2022-06-10, Aspen, USA (virtuell). Volltext nicht online.

Runge, Jakob (2022) Combining Causal Inference and Extreme Value Theory in the Study of Climate Extremes and their Causes. BANFF Workshop in Extremes and causality, 2022-07, Banff, Kanada (Virtuell). Volltext nicht online.

Runge, Jakob (2022) Causal Inference and discovery with perspectives in Earth sciences. Seminar, 2022-06, Nairobi, Kenia. Volltext nicht online.

Runge, Jakob (2022) Explainable AI in climate science and its limitations. Lorentz Center Workshop on subseasonal prediction, 2022-09-05 - 2022-09-09, Leiden, Niederlande. Volltext nicht online.

Runge, Jakob (2022) Causal Inference and discovery with perspectives in Earth sciences. Inverse Network Dynamics - Network structure and function from nonlinear dynamics and time series data, 2022-09-12 - 2022-09-21, Dresden, Deutschland. Volltext nicht online.

Runge, Jakob (2022) Causal Inference and discovery with perspectives in Earth sciences. Helmholtz Center Munich Seminar Series, 2022-09, Munich, Deutschland (virtuell). Volltext nicht online.

Runge, Jakob (2022) Causal Inference and discovery with perspectives in Earth sciences. Columbia University Seminar, 2022-12-08, New York, USA. Volltext nicht online.

Runge, Jakob (2023) Modern causal inference approaches to investigate biodiversity-ecosystem functioning relationships. Nature Communications, 14 (1), p. 1917. Nature Publishing Group. doi: 10.1038/s41467-023-37546-1. ISSN 2041-1723.

Runge, Jakob and Ebert-Uphoff, Imme (2022) Causal inference for Earth system sciences. AI4Good, 2022-01, Genf, Schweiz (Virtuell). Volltext nicht online.

Saha, Sudipan and Gawlikowski, Jakob and Nandy, Jay and Zhu, Xiao Xiang (2022) Compact Feature Representation for Unsupervised Ood Detection. In: International Geoscience and Remote Sensing Symposium (IGARSS), pp. 3143-3146. IEEE - Institute of Electrical and Electronics Engineers. IGARSS 2022, 2022-07-17 - 2022-07-22, Kuala Lumpur, Malaysia. doi: 10.1109/IGARSS46834.2022.9884481.

Schmalwasser, Laines (2024) KI und Konzepte: Verstehen neuronale Netze die Welt wie wir? LANGE NACHT DER WISSENSCHAFTEN JENA, 2024-11-22, Jena, Deutschland. (Unpublished) Volltext nicht online.

Schmalwasser, Laines and Gawlikowski, Jakob and Denzler, Joachim and Niebling, Julia (2024) Exploiting Text-Image Latent Spaces for the Description of Visual Concepts. In: 27th International Conference on Pattern Recognition, ICPR 2024 (1), pp. 109-125. Springer Nature. 27th International Conference on Pattern Recognition, 2024-12-01 - 2024-12-05, Kalkutta, Indien. doi: 10.1007/978-3-031-80136-5. ISBN 978-303178103-2. ISSN 0302-9743.

Schulte-Kroll, Anne (2022) Unsupervised Learning of Reusable Text Sequence Representations for IT-Infrastructure Health Monitoring using Anomaly Detection. Master's, FSU Jena. Volltext nicht frei.

Schwinghammer, Moritz (2024) Evaluation of domain interpretability via concept activation vectors for deep learning skin lesion classification. Master's, Technical University of Ilmenau. Volltext nicht frei.

Sonnekalb, Tim and Gruner, Bernd and Brust, Clemens-Alexander and Mäder, Patrick (2022) Generalizability of Code Clone Detection on CodeBERT. In: 37th IEEE/ACM International Conference on Automated Software Engineering, ASE 2022. ACM. ASE 2022, 2022-10-10 - 2022-10-14, Michigan, USA. ISBN 978-145039475-8.

Stein, Gideon and Ziemer, Jonas and Wicker, Carolin and Jänichen, Jannik and Demisch, Gabriele and Klöpper, Daniel and Last, Katja and Denzler, Joachim and Schmullius, Christiane and Shadaydeh, Maha and Dubois, Clemence (2024) DATA-DRIVEN PREDICTION OF LARGE INFRASTRUCTURE MOVEMENTS THROUGH PERSISTENT SCATTERER TIME SERIES MODELING. In: 2024 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2024, pp. 8669-8673. IGARSS 2024, 2024-07-07 - 2024-07-12, Athen, Griechenland. doi: 10.1109/IGARSS53475. ISBN 979-8-3503-6032-5. ISSN 2153-7003.

Stumpf, Natascha (2025) Dam Monitoring - Optimization of Sidelobe Suppression in Radar Images during StaMPS Persistent Scatterer Interferometry Processing. Master's, Friedrich-Schiller-Universität Jena. Volltext nicht online.

Sudheesh, Saranya Ganesh and Beucler, Tom and Tam, Frederick Iat-Hin and Gomez, Milton S. and Runge, Jakob and Gerhardus, Andreas (2023) Selecting robust features for machine-learning applications using multidata causal discovery. Environmental data science, 2. Cambridge University Press. doi: 10.1017/eds.2023.21. ISSN 2634-4602.

Sudheesh, Saranya Ganesh and Beucler, Tom Georges and Tam, Frederick Iat-Hin and Gerhardus, Andreas and Runge, Jakob (2023) Causal Discovery to Improve Machine Learning-Based Tropical Cyclone Intensity Predictions. 103rd AMS annual meeting, 2023-01-08 - 2023-01-12, Denver, CO, USA und Online. Volltext nicht online.

Tibau Alberdi, Xavier Andoni and Reimers, Christian and Gerhardus, Andreas and Denzler, Joachim and Eyring, Veronika and Runge, Jakob (2022) A spatiotemporal stochastic climate model for benchmarking causal discovery methods for teleconnections. Environmental data science, 1, e12. Cambridge University Press. doi: 10.1017/eds.2022.11. ISSN 2634-4602.

Uleman, Jeroen F. and Luijten, Maartje and Abdo, Wilson F. and Vyrastekova, Jana and Gerhardus, Andreas and Runge, Jakob and Hulvej Rod, Naja and Verhagen, Maaike (2024) Triangulation for causal loop diagrams: constructing biopsychosocial models using group model building, literature review, and causal discovery. npj Complexity. Nature Publishing Group. doi: 10.1038/s44260-024-00017-9. ISSN 2731-8753.

Ulman, Hannah and Gütter, Jonas Aaron and Niebling, Julia (2023) Uncertainty is not sufficient for identifying noisy labels in training data for binary segmentation of building footprints. Frontiers in Remote Sensing (3), p. 1100012. Frontiers Media S.A.. doi: 10.3389/frsen.2022.1100012. ISSN 2673-6187.

Veselova, Inna (2022) Evaluation von verteilten Algorithmen zur Diabeteserkennung unter Beachtung des Datenschutzes. Bachelor's. Volltext nicht frei.

Vrakking, Vincent and Philpot, Claudia and Schubert, Daniel and Aksteiner, Niklas and Strowik, Christian and Ksenik, Eugen and Sasaki, Kaname and Toth, Norbert and Franke, Michel Fabien and Bunchek, Jess Marie and Bornemann, Gerhild and Holbeck, Ilse Marie and Fonseca Prince, Andre and Rewicki, Ferdinand (2024) System Design of the EDEN LUNA Greenhouse: Upgrading EDEN ISS for future Moon mission simulations. In: 53rd International Conference on Environmental Systems. 53rd International Conference on Environmental Systems, 2024-07-21 - 2024-07-25, Louisville, Kentucky, USA.

Wahl, Jonas and Ninad, Urmi and Runge, Jakob (2023) Vector causal inference between two groups of variables. In: 37th AAAI Conference on Artificial Intelligence, AAAI 2023, 37 (10), pp. 12305-12312. Proceedings of the AAAI Conference on Artificial Intelligence, 2023-02-07 - 2023-02-14, Washington DC. doi: 10.1609/aaai.v37i10.26450. ISBN 978-157735880-0.

Wahl, Jonas and Ninad, Urmi and Runge, Jakob (2024) Foundations of causal discovery on groups of variables. Journal of Causal Inference, 12 (1). Walter de Gruyter. ISSN 2193-3677. Volltext nicht online.

Wen, Jiaming and Runge, Jakob and Gerhardus, Andreas and Sun, Ying (2022) Understanding and Predicting the Interannual Variability (IAV) of the Global Terrestrial Carbon Cycle. AGU Fall Meeting, 2022-12-12 - 2022-12-16, Chicago, IL, USA und Online. (Unpublished) Volltext nicht online.

Wen, Jiaming and Runge, Jakob and Gerhardus, Andreas and Sun, Ying (2023) Differential Interannual Sensitivities to Water Availability Between Amazon and Congo Rainforests. AGU Annual Meeting 2023, 2023-12-11 - 2023-12-15, San Francisco, CA, USA und Online. (Unpublished) Volltext nicht online.

Würflein, Nick (2024) A combination of constrained-based and functional-model based causal discovery algorithms for time series. Master's, Friedrich-Schiller-Universität Jena. Volltext nicht online.

Zehner, Markus and Dubois, Clemence and Thiel, Christian and Schellenberg, Konstantin and Rüetschi, Marius and Brenning, Alexander and Baade, Jussi and Schmullius, Christiane (2024) Accounting for Deciduous Forest Structure and Viewing Geometry Effects Improves Sentinel-1 Time Series Image Consistency. IEEE Transactions on Geoscience and Remote Sensing, Vol.61. IEEE - Institute of Electrical and Electronics Engineers. doi: 10.1109/TGRS.2023.3310113. ISSN 0196-2892.

Zehner, Markus and Kasburg, Valentin and Dubois, Clemence and Thiel, Christian and Brenning, Alexander and Baade, Jussi and Kukowski, Nina and Schmullius, Christiane (2024) A TRANSFORMER APPROACH FOR MULTI ORBIT PER PIXEL TIME SERIES FOREST CHARACTERIZATION WITH SENTINEL-1. In: 2024 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2024, pp. 4562-4565. IGARSS 2024, 2024-07-07 - 2024-07-12, Athen, Griechenland. doi: 10.1109/IGARSS53475.2024.10641144. ISBN 979-8-3503-6032-5. ISSN 2153-7003.

Ziemer, Jonas and Dubois, Clémence and Thiel, Christian and Bueso Bello, Jose Luis and Rizzoli, Paola and Schmullius, C. (2023) Relationship between Lidar-Derived Canopy Densities and the Scattering Phase Center of High-Resolution TanDEM-X Data. Remote Sensing. Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/rs15143589. ISSN 2072-4292.

Ziemer, Jonas and Jänichen, Jannik and Wicker, Carolin and Klöpper, Daniel and Last, Katja and Kalia, Andre C. and Lege, Thomas and Schmullius, Christiane and Dubois, Clemence (2025) Assessing the Feasibility of Persistent Scatterer Data for Operational Dam Monitoring in Germany: A Case Study. Remote Sensing, 17 (7). Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/rs17071202. ISSN 2072-4292.

Ziemer, Jonas and Stein, Gideon and Wicker, Carolin and Jänichen, Jannik and Klöpper, Daniel and Last, Katja and Denzler, Joachim and Schmullius, Chiristiane and Shadaydeh, Maha and Dubois, Clemence (2025) Enhancing the Prediction of Dam Deformations: A Novel Data-Driven Approach. Remote Sensing, 17 (6). Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/rs17061026. ISSN 2072-4292.

de Castro, Luciano and Cundy, Lance D. and Galvao, Antonio F. and Westenberger, Rafael (2023) A dynamic quantile model for distinguishing intertemporal substitution from risk aversion. European Economic Review, 159 (104587). Elsevier. doi: 10.1016/j.euroecorev.2023.104587. ISSN 0014-2921. Volltext nicht online.

von Gönner, Julia and Herrmann, Thora M. and Bruckermann, Till and Eichinger, Michael and Hecker, Susanne and Klan, Friederike and Lorke, Julia and Richter, Anett and Sturm, Ulrike and Voigt-Heucke, Silke and Brink, Wiebke and Liedtke, Christin and Premke-Kraus, Matthias and Altmann, Carolin and Bauhus, Wilhelm and Bengtsson, Luiza and Büermann, Andrea and Dietrich, Peter and Dörler, Daniel and Eich-Brod, Regina and Ferschinger, Laura and Freyberg, Linda and Grützner, Agnes and Hammel, Gertrud and Heigl, Florian and Heyen, Nils B. and Hölker, Franz and Johannsen, Carolin and Kluß, Thorsten and Kluttig, Thekla and Knobloch, Jörn and Munke, Martin and Mortega, Kim and Pathe, Carsten and Soßdorf, Anna and Stämpfli, Tiina and Thiel, Christian and Tönsmann, Susanne and Valentin, Anke and Wagenknecht, Katherin and Wegener, Robert and Woll, Silvia and Bonn, Aletta (2023) Citizen science’s transformative impact on science, citizen empowerment and socio-political processes. Socio-Ecological Practice Research, 5 (1), pp. 11-33. Springer Nature. doi: 10.1007/s42532-022-00136-4. ISSN 2524-5279.