Einstein Center Digital Future

Einstein Center Digital Future

Freie Universität Berlin

Freie Universität Berlin has been one of Germany’s Universities of Excellence since 2007. As an international network university with seven offices abroad, it provides an excellent platform for international cooperation. Topics addressed at FU, which are relevant to HEIBRiDS, are image processing, analysis and modelling of large data sets from medical and bioinformatical research, and the impact of digitalization on our society.

Humboldt-Universität zu Berlin

Among the guiding principles of Humboldt-Universität zu Berlin is the emphasis on social responsibility and cultural participation, especially in a society in which digitalization influences more and more aspects of political, cultural, and everyday life. HU is home to several research groups that, for example, work on the intersection of computer science and (bio)medical topics or computer science and the geosciences. HEIBRiDS PIs from HU, have been active on making Big Data technology practically applicable in the realms of biomedical data science, text technology, and geoscientific applications.

Technische Universität Berlin

Technische Universität Berlin offers a full spectrum of engineering programs supported by outstanding experts in mathematics and natural sciences, as well as the humanities and social sciences. Digitalization is an integral part of all research conducted at TU. The majority of HEIBRiDS PIs from TU focus on the development of machine learning tools for big data analytics.

Charité - Universitätsmedizin Berlin 

Charité, which was established in 1710, is inextricably linked to innovations in science, medicine, and nursing. Following the merger of three of Berlin’s medical schools, Charité is now one of the largest university health systems and medical schools in Europe. Data scientists at Charité are active in the fields of bioinformatics, medical image processing, databases, and digitalization of population health research, creating data-driven approaches to the advancement of biomedical research.  

Helmholtz Centers

Helmholtz Centers

Alfred Wegener Institute - Helmholtz Centre for Polar and Marine Research (AWI)

AWI contributes to the research field Earth and Environment. The AWI unit in Potsdam mainly deals with polar atmospheric processes, permafrost dynamics, and modern and past changes in Arctic terrestrial ecology. All these studies yield big sets of observational, analytical and remote-sensing data, which need to be handled with innovative tools of data mining, provided in the synergetic HEIBRiDS project.

Deutsches Elektronen-Synchrotron (DESY)

DESY is active in the Helmholtz Research Field ‘Matter’, namely in the Programs, ‘Matter and the Universe’ (MU), ‘From Matter to Materials and Life’ (MML), and ‘Matter and Technologies’ (MT). The DESY site in Zeuthen, in particular, is active in particle physics within the Program MU and accelerator science within MT. Moreover, it has evolved into the leading center for astroparticle physics within the Program MU, with major activities in gamma-ray astronomy (H.E.S.S., MAGIC, VERITAS, Fermi and CTA) and neutrino astronomy (IceCube). It has a sizable computing center and well-trained staff to design, build and operate advanced equipment and computing systems, covering all aspects of modern information technologies.

German Aerospace Center (DLR)

DLR in Berlin is active in the fields of space research, planetary research, Earth observation and transport. Data science is relevant for all of these fields: optical sensors on spacecrafts produce enormous amounts of data at an extremely high rate. The same holds for sensors used for various mobility applications. The data produced by these sensors need to be analyzed and relevant information needs to be extracted. HEIBRiDS will contribute to the solution of these challenges by training young researchers.

German Research Centre for Geosciences (GFZ)

GFZ is the national research centre for Earth sciences in Germany. Research at the GFZ focuses on the geosphere within the highly complex System Earth with its further subsystems, its interacting subcycles, and its wide network of cause-and-effect chains. This GFZ scientists work in a close interdisciplinary collaboration with the related scientific disciplines physics, mathematics, chemistry, and biology as well as with the rock mechanics, engineering hydrology and seismology disciplines. The mission is to assess and understand relevant physical, chemical, and biological processes within the geosphere and to predict future developments. Research at the GFZ integrates methods of Earth observation with laboratory- and field-experiments, as well as with modelling approaches.

Helmholtz Zentrum Berlin für Materialien und Energie (HZB)

HZB contributes to the energy materials research and operates the international user facility BESSY. Data science plays an increasing role in HZB´s research portfolio, new and adaptive digital methods as well as algorithms in the fields of spectroscopy, tomography and simulations are much needed. HZB is partner in two Helmholtz Future Research Themes: 1) Energy System Integration and 2) Perovskite Based Solar Energy Conversion. In the first, digitalization is a necessary prerequisite to design a future energy supply system based on fluctuating renewable energy sources. Multiscale insight is required to evaluate and predict the potential of new technologies in a systems perspective. Combinatorial and computational materials design are routes to contribute to the second Future Research Theme, which will strongly benefit from HEIBRiDS.

Max-Delbrück Center for Molecular Medicine (MDC)

MDC aims to understand basic biological processes that are relevant for diseases and contributes research to the areas of cardiovascular & metabolic disease, cancer research, diseases of the nervous system, and medical systems biology. It is committed to translating scientific knowledge into improvements in clinical practice, and has expanded its translational research activities as provileged partner of the Berlin Institute of Health (BIH), one of the three pillars of the Charité. By integrating high-throughput technologies, mathematics, bioinformatics, molecular biology, biochemistry and engineering to derive predictive, quantitative models for biological systems, the MDC advances emerging concepts of personalized medicine.