Articles | Volume 25, issue 5
https://doi.org/10.5194/hess-25-2721-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-25-2721-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Hydroinformatics education – the Water Informatics in Science and Engineering (WISE) Centre for Doctoral Training
Thorsten Wagener
CORRESPONDING AUTHOR
Department of Civil Engineering, University of Bristol, Bristol, UK
Cabot Institute, University of Bristol, Bristol, UK
Institute of Environmental Science and Geography, University of
Potsdam, Potsdam, Germany
Dragan Savic
KWR Water Research Institute, Nieuwegein, the Netherlands
Centre for Water Systems, College of Engineering, Mathematics and
Physical Sciences, University of Exeter, Exeter, UK
David Butler
Centre for Water Systems, College of Engineering, Mathematics and
Physical Sciences, University of Exeter, Exeter, UK
Reza Ahmadian
Hydro-environmental Research Centre, School of Engineering, Cardiff
University, Cardiff, UK
Tom Arnot
Water Innovation and Research Centre, Department of Chemical
Engineering, University of Bath, Bath, UK
Jonathan Dawes
Institute for Mathematical Innovation and Department of Mathematical Sciences, University of Bath, Bath, UK
Slobodan Djordjevic
Centre for Water Systems, College of Engineering, Mathematics and
Physical Sciences, University of Exeter, Exeter, UK
Roger Falconer
Hydro-environmental Research Centre, School of Engineering, Cardiff
University, Cardiff, UK
Raziyeh Farmani
Centre for Water Systems, College of Engineering, Mathematics and
Physical Sciences, University of Exeter, Exeter, UK
Debbie Ford
Centre for Water Systems, College of Engineering, Mathematics and
Physical Sciences, University of Exeter, Exeter, UK
Jan Hofman
KWR Water Research Institute, Nieuwegein, the Netherlands
Water Innovation and Research Centre, Department of Chemical
Engineering, University of Bath, Bath, UK
Zoran Kapelan
Centre for Water Systems, College of Engineering, Mathematics and
Physical Sciences, University of Exeter, Exeter, UK
Department of Water Management, Delft University of Technology, Delft, the Netherlands
Shunqi Pan
Hydro-environmental Research Centre, School of Engineering, Cardiff
University, Cardiff, UK
Ross Woods
Department of Civil Engineering, University of Bristol, Bristol, UK
Cabot Institute, University of Bristol, Bristol, UK
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Cited
5 citations as recorded by crossref.
- An open web‐based module developed to advance data‐driven hydrologic process learning B. Lane et al. 10.1002/hyp.14273
- Advancing Hydroinformatics and Water Data Science Instruction: Community Perspectives and Online Learning Resources A. Jones et al. 10.3389/frwa.2022.901393
- Making Waves: Towards data-centric water engineering G. Fu et al. 10.1016/j.watres.2024.121585
- Why people matter in 21st century hydrology: lessons learnt from flood forecasting and warning L. Speight 10.1098/rsta.2024.0293
- A call for a fundamental shift from model-centric to data-centric approaches in hydroinformatics B. Zolghadr-Asli et al. 10.1017/wat.2024.5
5 citations as recorded by crossref.
- An open web‐based module developed to advance data‐driven hydrologic process learning B. Lane et al. 10.1002/hyp.14273
- Advancing Hydroinformatics and Water Data Science Instruction: Community Perspectives and Online Learning Resources A. Jones et al. 10.3389/frwa.2022.901393
- Making Waves: Towards data-centric water engineering G. Fu et al. 10.1016/j.watres.2024.121585
- Why people matter in 21st century hydrology: lessons learnt from flood forecasting and warning L. Speight 10.1098/rsta.2024.0293
- A call for a fundamental shift from model-centric to data-centric approaches in hydroinformatics B. Zolghadr-Asli et al. 10.1017/wat.2024.5
Latest update: 11 Aug 2025
Short summary
How can we effectively train PhD candidates both (i) across different knowledge domains in water science and engineering and (ii) in computer science? To address this issue, the Water Informatics in Science and Engineering Centre for Doctoral Training (WISE CDT) offers a postgraduate programme that fosters enhanced levels of innovation and collaboration by training a cohort of engineers and scientists at the boundary of water informatics, science and engineering.
How can we effectively train PhD candidates both (i) across different knowledge domains in water...