The Scultetus Center shall be established as an international meeting place of science. The focus is on the exchange between scientists in Germany and those from Poland and the Czech Republic. It is planned to organize and hold conferences, workshops and lectures, as well as lively and interactive formats such as hackathons and datathons. In particular, the exchange between young talents is to be promoted – in the tri-border region and beyond.

The center is not only committed to the topic of digitization for its organization. Also in terms of content, everything revolves around digital (science) topics such as artificial intelligence, high-performance and quantum computing, and the handling of data on a large scale. The focus is on sustainability, openness and exchange in the generation, use and storage of data, algorithms, processes and codes.

The meeting place is named after the municipal judge and mayor Bartholomäus Scultetus, who was born in Görlitz. Scultetus was also a respected cartographer, chronicler and historical writer. He gained reputation as an astronomer and mathematician, which reaches beyond the region and up to the present time. He was concerned with methods of exact time measurement and played a decisive role in the introduction of the Gregorian calendar. By adopting his name, the center hopes to keep alive the memory of one of the region’s first important scientists.

Updates

10 February 2023
Kick-off meeting of the joint Master’s program of the University of Wrocław (UWr) and CASUS
Together with Gosia Biernacka, Associate Dean of the UWr Computer Science Faculty, the two master students Adrian Urbański and Bartosz Brzoza were welcomed to CASUS. At the meeting, the details of the program, admission requirements, funding and financing for their theses, and other issues were discussed. Adrian will dive into self-supervised techniques for biomedical deep learning that hold the promise to revolutionize clinical diagnostics. His supervisors are Piotr Wnuk-Lipiński (UWr) and Artur Yakimovich (CASUS). Bartosz’s project is about developing a machine-learning surrogate model that replaces conventional density functional theory calculations that are used to predict the electronic structure of molecular systems. He is supervised by Paweł Rychlikowski (UWr) and Attila Cangi (CASUS).