Jan Sodoge
Research interests
I'm a Post-Doc researcher working on hydrological extreme events (particularly drought) impacts. I leverage natural-language processing, machine learning and other computational methods to understand how hazards translate into impacts. I have a background in computational social science, geography and environmental system science.
Index:
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2025 (2)
- Bartkowski, B., Baaken, M.C., Nagpal, M., Sodoge, J., de Brito, M.M. (2025):
What constitutes sustainable agriculture for different audiences in Germany? A comparative analysis of large-scale text data
People Nat. 7 (3), 715 - 730 10.1002/pan3.70003 - de Brito, M.M., Sodoge, J., Kreibich, H., Kuhlicke, C. (2025):
Comprehensive assessment of flood socioeconomic impacts through text-mining
Water Resour. Res. 61 (1), e2024WR037813 10.1029/2024wr037813
2024 (7)
- Alencar, P.H.L., Sodoge, J., Paton, E.N., de Brito, M.M. (2024):
Flash droughts and their impacts - using newspaper articles to assess the perceived consequences of rapidly emerging droughts
Environ. Res. Lett. 19 (7), art. 074048 10.1088/1748-9326/ad58fa - de Brito, M.M., Sodoge, J., Fekete, A., Hagenlocher, M., Koks, E., Kuhlicke, C., Messori, G., de Ruiter, M., Schweizer, P.-J., Ward, P.J. (2024):
Uncovering the dynamics of multi-sector impacts of hydrological extremes: A methods overview
Earth Future 12 (1), e2023EF003906 10.1029/2023ef003906 - de Brito, M.M., Sodoge, J. (2024):
Computational Social Sciences in der Umweltsoziologie
In: Sonnberger, M., Bleicher, A., Groß, M. (Hrsg.)
Handbuch Umweltsoziologie
Springer VS, Wiesbaden , S. 521 - 535 10.1007/978-3-658-37218-7_14 - Sodoge, J. (2024):
jansodoge/drought_impact_profiles_paper: NHESS Code and Data
Version: version data Zenodo 10.5281/zenodo.11127677 - Sodoge, J., de Brito, M.M. (2024):
Computational social sciences in human–water research
In: Koundouri, P., Alamanos, A. (eds.)
Elgar encyclopedia of water policy, economics and management
Edward Elgar, Cheltenham, p. 50 - 52 10.4337/9781802202946.00018 - Sodoge, J., Kuhlicke, C., Mahecha, M.D., de Brito, M.M. (2024):
Text mining uncovers the unique dynamics of socio-economic impacts of the 2018–2022 multi-year drought in Germany
Nat. Hazards Earth Syst. Sci. 24 (5), 1757 - 1777 10.5194/nhess-24-1757-2024 - Sodoge, J., Reckhaus, Z., Kuhlicke, C., de Brito, M.M. (2024):
Unified in diversity: Unravelling emerging knowledge on drought impact cascades via participatory modeling
Clim. Risk Manag. 46 , art. 100652 10.1016/j.crm.2024.100652
2023 (3)
- Sodoge, J. (2023):
Drought impact statement dataset and code
Version: v1.0.0 Zenodo 10.5281/zenodo.7547489 - Sodoge, J., Kuhlicke, C., de Brito, M.M. (2023):
Automatized spatio-temporal detection of drought impacts from newspaper articles using natural language processing and machine learning
Weather Clim. Extremes 41 , art. 100574 10.1016/j.wace.2023.100574 - Sodoge, J., Kuhlicke, C., Mahecha, M., de Brito, M.M. (2023):
Drought impact profiles: Analyzing multivariate socio-economic drought impacts using nonlinear dimensionality reduction
EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023
EGUsphere
Copernicus Publications, EGU23-286 10.5194/egusphere-egu23-286
2022 (2)
- Akinsete, E., Koundouri, P., Kartala, X., Englezos, N., Lautze, J., Yihdego, Z., Gibson, J., Scholz, G., van Bers, C., Sodoge, J. (2022):
Sustainable WEF nexus management: A conceptual framework to integrate models of social, economic, policy, and institutional developments
Front. Water 4 , art. 727772 10.3389/frwa.2022.727772 - Sodoge, J., de Brito, M.M., Kuhlicke, C. (2022):
Automatized drought impact detection using natural language processing
WasserWirtschaft 112 (S1), 30 - 31 10.1007/s35147-022-1008-7