Articles | Volume 8, issue 3 
            
                
                    
                    
                        
            
            
            https://doi.org/10.5194/gc-8-191-2025
                    © Author(s) 2025. This work is distributed under 
the Creative Commons Attribution 4.0 License.
                the Creative Commons Attribution 4.0 License.
Special issue:
                        
                    https://doi.org/10.5194/gc-8-191-2025
                    © Author(s) 2025. This work is distributed under 
the Creative Commons Attribution 4.0 License.
                the Creative Commons Attribution 4.0 License.
GC Insights: Breaking the silos – leveraging natural language processing (NLP) to encourage interdisciplinary interaction at the European Geosciences Union (EGU)
Jan Sodoge
CORRESPONDING AUTHOR
                                            
                                    
                                            Department of Urban and Environmental Sociology, UFZ-Helmholtz Centre for Environmental Research, 04318 Leipzig, Germany
                                        
                                    Taís Maria Nunes Carvalho
                                            Department of Urban and Environmental Sociology, UFZ-Helmholtz Centre for Environmental Research, 04318 Leipzig, Germany
                                        
                                    
                                            Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI) Dresden/Leipzig, Universität Leipzig, 04109 Leipzig, Germany
                                        
                                    Mariana Madruga de Brito
                                            Department of Urban and Environmental Sociology, UFZ-Helmholtz Centre for Environmental Research, 04318 Leipzig, Germany
                                        
                                    Related authors
Jan Sodoge, Christian Kuhlicke, Miguel D. Mahecha, and Mariana Madruga de Brito
                                    Nat. Hazards Earth Syst. Sci., 24, 1757–1777, https://doi.org/10.5194/nhess-24-1757-2024, https://doi.org/10.5194/nhess-24-1757-2024, 2024
                                    Short summary
                                    Short summary
                                            
                                                We delved into the socio-economic impacts of the 2018–2022 drought in Germany. We derived a dataset covering the impacts of droughts in Germany between 2000 and 2022 on sectors such as agriculture and forestry based on newspaper articles. Notably, our study illustrated that the longer drought had a wider reach and more varied effects. We show that dealing with longer droughts requires different plans compared to shorter ones, and it is crucial to be ready for the challenges they bring.
                                            
                                            
                                        Ni Li, Wim Thiery, Shorouq Zahra, Mariana Madruga de Brito, Koffi Worou, Murathan Kurfalı, Seppe Lampe, Paul Muñoz, Clare Flynn, Camila Trigoso, Joakim Nivre, Jakob Zscheischler, and Gabriele Messori
                                        EGUsphere, https://doi.org/10.5194/egusphere-2025-4891, https://doi.org/10.5194/egusphere-2025-4891, 2025
                                    This preprint is open for discussion and under review for Natural Hazards and Earth System Sciences (NHESS). 
                                    Short summary
                                    Short summary
                                            
                                                Climate extremes threaten society and ecosystems. Understanding impacts is critical, despite open databases like EM-DAT and DesInventar, reliable impact data remain scattered across various text sources. Wikimpacts 1.0, using GPT4o, provides comprehensive socio-economic impact data on 2,928 events from 1034 to 2024. It offers broader storm coverage and finer spatial resolution impact data than EM-DAT, showcasing the potential of natural language processing to enhance climate impact datasets.
                                            
                                            
                                        Louise Cavalcante, David W. Walker, Sarra Kchouk, Germano Ribeiro Neto, Taís Maria Nunes Carvalho, Mariana Madruga de Brito, Wieke Pot, Art Dewulf, and Pieter R. van Oel
                                    Nat. Hazards Earth Syst. Sci., 25, 1993–2005, https://doi.org/10.5194/nhess-25-1993-2025, https://doi.org/10.5194/nhess-25-1993-2025, 2025
                                    Short summary
                                    Short summary
                                            Drought affects not only water availability but also agriculture, the economy, and communities. This study explores how public policies help reduce these impacts in Ceará, Northeast Brazil. Using qualitative drought monitoring data, interviews, and policy analysis, we found that policies supporting local economies help lessen drought effects. However, most reported impacts are still related to water shortages, showing the need for broader strategies beyond water supply investment.
Julius Schlumberger, Tristian Stolte, Helena Margaret Garcia, Antonia Sebastian, Wiebke Jäger, Philip Ward, Marleen de Ruiter, Robert Šakić Trogrlić, Annegien Tijssen, and Mariana Madruga de Brito
                                        EGUsphere, https://doi.org/10.5194/egusphere-2025-850, https://doi.org/10.5194/egusphere-2025-850, 2025
                                    Short summary
                                    Short summary
                                            
                                                The risk flood of flood impacts is dynamic as society continuously responds to specific events or ongoing developments. We analyzed 28 studies that assess such dynamics of vulnerability. Most research uses surveys and basic statistics data, while integrated, flexible models are seldom used. The studies struggle to link specific events or developments to the observed changes. Our findings highlight needs and possible directions towards a better assessment of vulnerability dynamics.
                                            
                                            
                                        Samuel Jonson Sutanto, Matthijs Janssen, Mariana Madruga de Brito, and Maria del Pozo Garcia
                                    Nat. Hazards Earth Syst. Sci., 24, 3703–3721, https://doi.org/10.5194/nhess-24-3703-2024, https://doi.org/10.5194/nhess-24-3703-2024, 2024
                                    Short summary
                                    Short summary
                                            
                                                A conventional flood risk assessment only evaluates flood hazard in isolation without considering wildfires. This study, therefore, evaluates the effect of wildfires on flood risk, considering both current and future conditions for the Ebro River basin in Spain. Results show that extreme climate change increases the risk of flooding, especially when considering the effect of wildfires, highlighting the importance of adopting a multi-hazard risk management approach.
                                            
                                            
                                        Riccardo Biella, Anastasiya Shyrokaya, Ilias Pechlivanidis, Daniela Cid, Maria Carmen Llasat, Marthe Wens, Marleen Lam, Elin Stenfors, Samuel Sutanto, Elena Ridolfi, Serena Ceola, Pedro Alencar, Giuliano Di Baldassarre, Monica Ionita, Mariana Madruga de Brito, Scott J. McGrane, Benedetta Moccia, Viorica Nagavciuc, Fabio Russo, Svitlana Krakovska, Andrijana Todorovic, Faranak Tootoonchi, Patricia Trambauer, Raffaele Vignola, and Claudia Teutschbein
                                        EGUsphere, https://doi.org/10.5194/egusphere-2024-2073, https://doi.org/10.5194/egusphere-2024-2073, 2024
                                    Short summary
                                    Short summary
                                            
                                                This research by the Drought in the Anthropocene (DitA) network highlights the crucial role of forecasting systems and Drought Management Plans in European drought risk management. Based on a survey of water managers during the 2022 European drought, it underscores the impact of preparedness on response and the evolution of drought management strategies across the continent. The study concludes with a plea for a European Drought Directive.
                                            
                                            
                                        Riccardo Biella, Ansastasiya Shyrokaya, Monica Ionita, Raffaele Vignola, Samuel Sutanto, Andrijana Todorovic, Claudia Teutschbein, Daniela Cid, Maria Carmen Llasat, Pedro Alencar, Alessia Matanó, Elena Ridolfi, Benedetta Moccia, Ilias Pechlivanidis, Anne van Loon, Doris Wendt, Elin Stenfors, Fabio Russo, Jean-Philippe Vidal, Lucy Barker, Mariana Madruga de Brito, Marleen Lam, Monika Bláhová, Patricia Trambauer, Raed Hamed, Scott J. McGrane, Serena Ceola, Sigrid Jørgensen Bakke, Svitlana Krakovska, Viorica Nagavciuc, Faranak Tootoonchi, Giuliano Di Baldassarre, Sandra Hauswirth, Shreedhar Maskey, Svitlana Zubkovych, Marthe Wens, and Lena Merete Tallaksen
                                        EGUsphere, https://doi.org/10.5194/egusphere-2024-2069, https://doi.org/10.5194/egusphere-2024-2069, 2024
                                    Short summary
                                    Short summary
                                            
                                                This research by the Drought in the Anthropocene (DitA) network highlights gaps in European drought management exposed by the 2022 drought and proposes a new direction. Using a Europe-wide survey of water managers, we examine four areas: increasing drought risk, impacts, drought management strategies, and their evolution. Despite growing risks, management remains fragmented and short-term. However, signs of improvement suggest readiness for change. We advocate for a European Drought Directive.
                                            
                                            
                                        Jan Sodoge, Christian Kuhlicke, Miguel D. Mahecha, and Mariana Madruga de Brito
                                    Nat. Hazards Earth Syst. Sci., 24, 1757–1777, https://doi.org/10.5194/nhess-24-1757-2024, https://doi.org/10.5194/nhess-24-1757-2024, 2024
                                    Short summary
                                    Short summary
                                            
                                                We delved into the socio-economic impacts of the 2018–2022 drought in Germany. We derived a dataset covering the impacts of droughts in Germany between 2000 and 2022 on sectors such as agriculture and forestry based on newspaper articles. Notably, our study illustrated that the longer drought had a wider reach and more varied effects. We show that dealing with longer droughts requires different plans compared to shorter ones, and it is crucial to be ready for the challenges they bring.
                                            
                                            
                                        Samuel Rufat, Mariana Madruga de Brito, Alexander Fekete, Emeline Comby, Peter J. Robinson, Iuliana Armaş, W. J. Wouter Botzen, and Christian Kuhlicke
                                    Nat. Hazards Earth Syst. Sci., 22, 2655–2672, https://doi.org/10.5194/nhess-22-2655-2022, https://doi.org/10.5194/nhess-22-2655-2022, 2022
                                    Short summary
                                    Short summary
                                            
                                                It remains unclear why people fail to act adaptively to reduce future losses, even when there is ever-richer information available. To improve the ability of researchers to build cumulative knowledge, we conducted an international survey – the Risk Perception and Behaviour Survey of Surveyors (Risk-SoS). We find that most studies are exploratory and often overlook theoretical efforts that would enable the accumulation of evidence. We offer several recommendations for future studies.
                                            
                                            
                                        Franciele Maria Vanelli, Masato Kobiyama, and Mariana Madruga de Brito
                                    Hydrol. Earth Syst. Sci., 26, 2301–2317, https://doi.org/10.5194/hess-26-2301-2022, https://doi.org/10.5194/hess-26-2301-2022, 2022
                                    Short summary
                                    Short summary
                                            
                                                We conducted a systematic literature review of socio-hydrological studies applied to natural hazards and disaster research. Results indicate that there is a wide range of understanding of what 
                                            
                                        socialmeans in socio-hydrology, and monodisciplinary studies prevail. We expect to encourage socio-hydrologists to investigate different disasters using a more integrative approach that combines natural and social sciences tools by involving stakeholders and broadening the use of mixed methods.
Luana Lavagnoli Moreira, Mariana Madruga de Brito, and Masato Kobiyama
                                    Nat. Hazards Earth Syst. Sci., 21, 1513–1530, https://doi.org/10.5194/nhess-21-1513-2021, https://doi.org/10.5194/nhess-21-1513-2021, 2021
                                    Short summary
                                    Short summary
                                            
                                                The review of flood vulnerability indices revealed that (1) temporal dynamic aspects were often disregarded, (2) coping and adaptive capacity indicators were frequently ignored, as obtaining these data demand time and effort, and (3) most studies neither applied sensitivity (90.5 %) or uncertainty analyses (96.8 %) nor validated the results (86.3 %). The study highlights the importance of addressing these gaps to produce scientifically rigorous and comparable research.
                                            
                                            
                                        Cited articles
                        
                        Beier, F., Heinke, J., Bodirsky, B. L., Müller, C., Ostberg, S., Karstens, K., Abrahao, G., Popp, A., and Lotze-Campen, H.: Multiple cropping in global-scale Land-Use Models and the role of Irrigation, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-18994, https://doi.org/10.5194/egusphere-egu24-18994, 2024. a
                    
                
                        
                        Briskilal, J. and Subalalitha, C.: An ensemble model for classifying idioms and literal texts using BERT and RoBERTa, Information Processing & Management, 59, 102756, https://doi.org/10.1016/j.ipm.2021.102756, 2022. a
                    
                
                        
                        Burt, R. S.: Structural holes and good ideas, Am. J. Soc., 110, 349–399, https://doi.org/10.1086/421787, 2004. a
                    
                
                        
                        Callaghan, M. W., Minx, J. C., and Forster, P. M.: A topography of climate change research, Nat. Clim. Change, 10, 118–123, https://doi.org/10.1038/s41558-019-0684-5, 2020. a
                    
                
                        
                        Carvalho, T. M. N.: UMAP Projections of EGU Embeddings, GitHub [data set], https://taiscarvalho.github.io/egu-umap-viz/, last access: 15 July 2025. 
                    
                
                        
                        Chen, H., Wang, X., Pan, S., and Xiong, F.: Identify topic relations in scientific literature using topic modeling, IEEE T. Eng. Manage., 68, 1232–1244, https://doi.org/10.1109/TEM.2019.2903115, 2019. a
                    
                
                        
                        De Battisti, F., Ferrara, A., and Salini, S.: A decade of research in statistics: A topic model approach, Scientometrics, 103, 413–433, https://doi.org/10.1007/s11192-015-1554-1, 2015. a
                    
                
                        
                        Dinh, D.-T., Fujinami, T., and Huynh, V.-N.: Estimating the optimal number of clusters in categorical data clustering by silhouette coefficient, in: Knowledge and Systems Sciences: 20th International Symposium, KSS 2019, Da Nang, Vietnam, 29 November–1 December 2019, Proceedings 20, 1–17, Springer, https://doi.org/10.1007/978-981-15-1209-4_1, 2019. a
                    
                
                        
                        EGU: List of General Assemblies, EGU, https://www.egu.eu/meetings/general-assembly/meetings/ (last access: 1 February 2025), 2024. a
                    
                
                        
                        Fallah-Mehdipour, E. and Dietrich, J.: Evaluating irrigation demand forecasts from S2S/agro-hydrological modelling with field experiments in Northern Germany in the context of farmer decision support, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-12705, https://doi.org/10.5194/egusphere-egu24-12705, 2024. a
                    
                
                        
                        Heilemann, J., Nagpal, M., Werner, S., Klassert, C., Klauer, B., and Gawel, E.: More Droughts, More Irrigation? Modeling the Adaptive Behavior of German Farmers to Hydrometeorological and Socioeconomic Change, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-11342, https://doi.org/10.5194/egusphere-egu24-11342, 2024. a
                    
                
                        
                        Kenter, T. and De Rijke, M.: Short text similarity with word embeddings, in: Proceedings of the 24th ACM international on conference on information and knowledge management, Institute of Eletrical and Electronics Engineers, 1411–1420, https://doi.org/10.1145/2806416.2806475, 2015. a
                    
                
                        
                        Kittur, A., Yu, L., Hope, T., Chan, J., Lifshitz-Assaf, H., Gilon, K., Ng, F., Kraut, R. E., and Shahaf, D.: Scaling up analogical innovation with crowds and AI, P. Natl. Acad. Sci., 116, 1870–1877, https://doi.org/10.1073/pnas.1807185116, 2019. a
                    
                
                        
                        Liu, Y.: Roberta: A robustly optimized bert pretraining approach, arXiv [preprint], https://doi.org/10.48550/arXiv.1907.11692, 2019. a
                    
                
                        
                        McInnes, L., Healy, J., and Melville, J.: Umap: Uniform manifold approximation and projection for dimension reduction, arXiv [preprint], https://doi.org/10.48550/arXiv.1802.03426, 2018. a
                    
                
                        
                        Naseer, M., Asvial, M., and Sari, R. F.: An empirical comparison of bert, roberta, and electra for fact verification, in: 2021 International Conference on Artificial Intelligence in Information and Communication (ICAIIC), 241–246, IEEE, https://doi.org/10.1109/ICAIIC51459.2021.9415192, 2021. a
                    
                
                        
                        Portenoy, J., Radensky, M., West, J. D., Horvitz, E., Weld, D. S., and Hope, T.: Bursting scientific filter bubbles: Boosting innovation via novel author discovery, in: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems, edited by: Barbosa, S., Lampe, C., Appert, C., Shamma, D. A., Drucker, S., Williamson, J., and Yatani, K., 1–13, https://doi.org/10.1145/3491102.3501905, 2022. a, b
                    
                
                        
                        Robertson, R. E., Green, J., Ruck, D. J., Ognyanova, K., Wilson, C., and Lazer, D.: Users choose to engage with more partisan news than they are exposed to on Google Search, Nature, 618, 342–348, https://doi.org/10.1038/s41586-023-06078-5, 2023. a
                    
                
                        
                        Rodriguez, M. Z., Comin, C. H., Casanova, D., Bruno, O. M., Amancio, D. R., Costa, L. d. F., and Rodrigues, F. A.: Clustering algorithms: A comparative approach, PLOS ONE, 14, e0210236, https://doi.org/10.1371/journal.pone.0210236, 2019. a
                    
                
                        
                        Sodoge, J.: EGU Abstract Embeddings, UFZ [code and data set], https://git.ufz.de/sodoge/egu-abstract-embeddings, last access: 15 July 2025. 
                    
                
                        
                        Sodoge, J. and de Brito, M. M.: Computational Social Sciences in Human–Water Research, in: Elgar Encyclopedia of Water Policy, Economics and Management, edited by: Koundouri, P. and Alamanos, A., 50–52, Edward Elgar Publishing, https://doi.org/10.4337/9781802202946.00018, 2024. a
                    
                
                        
                        Specht, A. and Crowston, K.: Interdisciplinary collaboration from diverse science teams can produce significant outcomes, PLoS One, 17, e0278043, https://doi.org/10.1371/journal.pone.0278043, 2022.  a
                    
                
                        
                        Spohr, D.: Fake news and ideological polarization: Filter bubbles and selective exposure on social media, Business Information Review, 34, 150–160, https://doi.org/10.1177/0266382117722446, 2017. a
                    
                
                        
                        Yau, C.-K., Porter, A., Newman, N., and Suominen, A.: Clustering scientific documents with topic modeling, Scientometrics, 100, 767–786, https://doi.org/10.1007/s11192-014-1321-8, 2014. a
                    
                Executive editor
                Breaking silos is key to science. A tool as investigated by this work, to show interesting related abstracts across silos could have considerable value. In the editorial team's anecdotal and personal view, the tool implemented at EGU's recent General Assembly in 2025 is was very valuable. So, this work is of interest to the organisers of larger conferences in all fields.  
                    Breaking silos is key to science. A tool as investigated by this work, to show interesting...
                    
            Short summary
                    Thousands of geoscience abstracts are presented at the European Geosciences Union (EGU) General Assembly, but researchers often miss key insights by focusing on their own field. Using natural language processing (NLP), we help scientists find relevant research across disciplines. This approach breaks down boundaries, encouraging broader knowledge sharing and new interdisciplinary connections in the geosciences.
                    Thousands of geoscience abstracts are presented at the European Geosciences Union (EGU) General...
                    
                Special issue
                        
                    Altmetrics
                
                Final-revised paper
            
            
                    Preprint
                
                     
 
                        
                                         
                        
                                         
                        
                                         
                        
                                         
                        
                                         
                        
                                         
                     
                     
                    