EINSTEIN CENTER DIGITAL FUTURE
Technische Universität Berlin
Technische Universität Berlin offers a full spectrum of engineering programs supported by outstanding experts from mathematics and natural sciences, to the humanities and social sciences. Digitalization is an integral part of all research conducted at TUB. The majority of HEIBRiDS PIs at TUB are active in machine learning methods development for big data analytics.
Charité - Universitätsmedizin Berlin
Charité, established in 1710, is inextricably linked to innovations in science and medicine. 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
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 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 of physics, mathematics, chemistry, and biology, as well as with engineering science disciplines of rock mechanics, engineering hydrology and seismology.
Helmholtz Zentrum Berlin für Materialien und Energie (HZB)
HZB contributes to the energy materials research and operates the international user facility BESSY VSR. Data science plays an increasing role in HZB´s research portfolio, where 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 future energy supply systems based on fluctuating renewable energy sources. Combinatorial and computational materials design are routes to contribute to the second Future Research Theme.
Max-Delbrück Center for Molecular Medicine (MDC)
MDC aims to understand basic biological processes that are relevant for diseases and curries out research in the areas of cardiovascular & metabolic diseases, cancer , diseases of the nervous system, and medical systems biology. It is committed to translating scientific knowledge into improvements in clinical practice. 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.
Berlin Institute for the Foundations of Learning and Data (BIFOLD)
BIFOLD belongs to the AI Research field, with a strong focus on Big Data Managament and Machine Learning. Established in 2019 through merging two national competence centers, it conducts foundational research at the intersection of scalable data systems and intelligent algorithms. Located within TU Berlin and in partnership with Charité, BIFOLD’s innovative work supports applications across science, industry, and society.
BIFOLD advances both scientific understanding and practical application of AI. It develops novel data science methods, supports knowledge exchange, education, and collaborates with industry, startups, and the humanities. This expertise contributes to HEIBRiDS by offering advanced tools and methods for managing, analyzing, and learning from complex and large-scale scientific datasets.
