XFEL: DASHH Data Science receives North German Science Award

https://www.xfel.eu/e35178/e35455/e35456 https://www.xfel.eu/news_and_events/news/index_eng.html news news news eng 1 1 10 bottom 0 1 %Y/%m/%d Press-Release
eng,ger
2020/11/26
Back

DASHH Data Science receives North German Science Award

The school works on cutting-edge cooperative approaches to evaluate complex, heterogeneous data using intelligent algorithms.

The graduate school "DASHH Data Science in Hamburg - Helmholtz Graduate School for the Structure of Matter" has been awarded the North German Science Award 2020 (Norddeutscher Wissenschaftspreis) which comes with 125,000 Euros in prize money. The University of Hamburg cooperates with numerous institutions from Hamburg and other northern German states, including European XFEL and DESY, to participate in this.

The graduate school was founded in 2018 and works on cutting-edge cooperative approaches to evaluate complex, heterogeneous data using intelligent algorithms. The data sets come from fields such as structural biology, particle physics, materials science and research with ultrashort X-ray pulses. Doctoral students can, for example, develop special software solutions for data management, processing and analysis, but also develop completely new computer-aided data science methods. For this, they also have access to the excellent research infrastructure on the Bahrenfeld campus.

"I am pleased that we have outstanding transnational research projects here in the north. We have therefore decided to award the North German Science Prize to two equally excellent cooperation projects," said Schleswig-Holstein's Minister of Science, Karin Prien, at the virtual award ceremony in Kiel and congratulated the scientists who took part. Together with the DASHH, the award was given to collaborations "Geodesy and Climate Research - Interaction between Carbon and Water Cycle" of the Universities of Bremen, Hannover, DLR and other cooperation partners. Prien said the projects demonstrated the innovative power and social relevance of science.