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Alexandra Diehl, PhD
DSI Fellow

GI Mitglied  (https://gi.de/)

Die Gesellschaft für Informatik e.V. (GI) ist die größte und wichtigste Fachgesellschaft für Informatik im deutschsprachigen Raum.


University of Zurich

Btw, I am interested in environmental science, animal protection activities, and I am a proud member of the Zurich Bird Protection / BirdLife Zurich and the Swiss Bird Protection / BirdLife Switzerland.

I am a computer scientist dedicated to the visualization discipline, visual analytics,  geospatial visual analytics, predictive analytics, and data science.

During the last years, I've been working on visual analytics for meteorology, visual analytics of Volunteer Geographic Information (VGI), citizen science, and social media, and on the theoretical foundations of visualization guidelines.




Geospatial Visual Analytics applied to Short-term  Weather Forecasting


Storm Tracking Visual Analytics
EuroVis 2021 - To Appear!

Geospatial Visual Analytics applied to Probabilistic  Weather Forecasting


Social Media Visual Analytics

Current Projects

Visualization  Theory



Prof. Dr. Min Chen
Prof. Dr. Daniel Keim


Prof. Dr. Robert Laramee
Prof. Dr. Alfie Abdul-Raman

Prof. Dr. Benjamin Bach

Ms. Menna-tallah El-Assadi

Mr. Mathias Kraus

We are working on the understanding of visualization guidelines based on the principles of Grounded Theory

At the same time, we are running a community project, VisGuides.org, for the discussion, critique, and curation of visualization concepts and guidelines.

PI: Alexandra Diehl



Prof. Dr. Renato Pajarola

Prof. Dr. Sara Fabrikant

Prof. Dr. Claudio Tessone 

Dr. Oliver Gruebner
Dr. Manuel Mariani

Dr. Ian Ruginski

Geospatial visual analytics applied to weather forecasting presents several challenges. Forecasters need to analyze forecasts and make quick decisions on forecasts on a daily basis to avoid, prevent, and alert society about potential hazards.

During the last years, I have been working very closely with meteorology to develop efficient visual analytics tasks that can help them to make rapid decisions. Some of the efforts on short-term and probabilistic forecasting are already published, and others are ongoing projects, such as the case of Visual Analytics for Nowcasting.


 One of the next big scientific challenges that I want to tackle is how to process and make use of citizen data, which are heterogeneous, vague, and noisy, but yet a very valuable source of information. In particular, a big challenge that I want to tackle is the research and development of tools to help in the understanding and quantification of the uncertainty of citizen data, for the particular use in scientific models coming from meteorology.


During my ten years of work in academia, I have had the honor to collaborate with colleagues from different continents and areas of expertise. Here there are some very nice pictures, some of their names are on my publications, and all of their names are deeply written in my heart.


Contact me!

diehl at ifi.uzh.ch

© 2020 by Alexandra Diehl.