Scientific visualisation: Visualise your data effectively and avoid common pitfalls


Visualisation of scientific data is an integral part of scientific understanding and communication. Scientists have to make decisions about the most effective way to communicate their results everyday. How do we best visualise the data to understand it ourselves? How do we best visualise our results to communicate with others? Common pitfalls can be overcrowding, overcomplicated plot types or inaccessible color schemes. Scientists may also get overwhelmed by the graphics requirements of different publishers, for presentations, posters etc. This short course is designed to help scientists improve their data visualization skills in a way that the research outputs would be more accessible within their own scientific community and reach a wider audience.
Topics discussed include:

- Choosing a plot type – keeping it simple
- Color schemes – which ones to use or not to use
- Creativity vs simplicity – finding the right balance
- Producing your figures – software and tools
- Figure files – publication ready resolutions

This course is organized by the Young Hydrologic Society (YHS), enabling networking and skill enhancement of early career researchers worldwide. Our goal is to help you make your figures more accessible by a wider audience, informative and beautiful. If you feel your graphs are complicated or not intuitive, we welcome you to join this short course.

Co-organized by AS6/HS11/PS 12
Convener: Lina SteinECSECS | Co-conveners: Navid Ghajarnia, Swamini Khurana, Edoardo Martini
Thu, 26 May, 08:30–10:00 (CEST)
Room -2.85/86


  • Lina Stein, Uni Potsdam, Germany
  • Edoardo Martini, Leipzig University, Germany
  • Swamini Khurana, Stockholm University, Sweden