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