Sep 11 – 16, 2022
Europe/Berlin timezone

Conference Venue

The workshop will be held in the town of Görlitz, east of Dresden. It will take place at the Conference Center, Jugendherberge Görlitz, Peterstraße 15, 02826 Görlitz and is hosted by the Center for Advanced Systems Understanding, Helmholtz-Zentrum Dresden-Rossendorf.


The German-Polish city Görlitz/Zgorzelec presents itself as a vital place with a rich cultural life and an unparalleled cultural heritage. The city boasts 4,000 monuments from the periods of Gothic, Renaissance, Baroque and Wilhelminian architecture. One of the best-preserved historic cityscapes all over Central Europe provides an authentic and versatile backdrop for numerous national and international films that continue to be produced in so-called Görliwood. Görlitz's popularity with tourists is also due to the numerous festivals, concerts, and exhibitions that take place throughout the year - and the fact that nowhere in Germany does the sun rise earlier than here.

© Moritz Kertzscher

© Sabine Wenzel

© Reiner Weisflog

© Reiner Weisflog

© Nikolai Schmidt

© Europastadt GmbH

© Reiner Weisflog

The Center for Advanced Systems Understanding

In just two years, a vibrant and productive science hub has emerged on the German-Polish border. The Center for Advanced Systems Understanding (CASUS) uses cutting-edge digital methods to tackle research in complex systems such as the climate, extreme states of matter, or carcinogenesis. The young research center is establishing itself with an increasing number of high-profile publications and close collaborations with renowned partners worldwide. 

Based on the belief that future research is interdisciplinary and data-driven, CASUS positions itself as a strong partner in the digitalization of science and draws new scientific connections to address future challenges with the help of digital scientific solutions. Combining methods from mathematics, systems theory, data science, and scientific computing at a single location, researchers at CASUS aim to rethink data-intensive systems research.