Colleagues from IIASA Water Security Research Group (WAT) host a special workshop with design students, to foster conversation between designers and scientists.
WAT colleagues will be hosting students from New Design University, St Pölten, in a collective learning session on information design and visual communication. The session has been developed to facilitate conversation and exercises on exploring how to communicate science visually. The overarching aim is to inspire designers and scientists to generate ideas about sharing, illustrating and communicating information through visual media.
Activities will include:
- group work exercise, inspired by presentations on data visualization
- presentations on three separate watersheds, followed by group discussions about basins and how to address topics most important for communication
- facilitated discussion on inspiration & challenges that scientists face in communicating information and that designers face when trying to translate and understand scientific information
WAT Publications
Mohammadnezhad, M., Rezaee, A., & Smilovic, M. (2026). Multi-timescale streamflow projections in human-regulated basins of southwest Iran using CWatM and explainable machine learning. Journal of Hydrology: Regional Studies 66 e103534. 10.1016/j.ejrh.2026.103534.
Artuso, S., Politti, E., Burek, P. , Tramberend, S. , Smilovic, M. , & Kahil, T. (2026). Crop Water Use and Future Irrigation Scenarios within a Safe Operating Space Framework in the Danube Basin. DOI:10.5194/egusphere-egu26-13157. In: EGU General Assembly 2026, 03 May - 08 May 2026, Vienna.
Burek, P. (2026). Attribution of glacier runoff to river streamflow in the Danube Basin. DOI:10.5194/egusphere-egu26-11119. In: EGU General Assembly 2026, 03 May - 08 May 2026, Vienna.
Sun, M., Tangdamrongsub, N., Sun, Y., Dong, J., Sutanudjaja, E., & Smilovic, M. (2026). Assessing and optimizing high-resolution global river streamflow estimates with triple collocation analysis. Journal of Hydrology 669 e135122. 10.1016/j.jhydrol.2026.135122.
Cai, K., Li, J., Jiang, Q., Hu, L., Fu, J., Zhang, M., Li, Y., Qin, Y., & Liu, Y. (2026). Enhancing hydrological modeling in large basin with intensive human water use through hierarchical parameterization and bias-integrated calibration. Water Cycle 7 219-233. 10.1016/j.watcyc.2025.10.003.
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