RESEARCH

TRANSFORMING DATA INTO VALUE WITH DATA SCIENCE

As a result of digitalization, vast amounts of heterogeneous data are produced across all scientific fields that can no longer be handled with manual or traditional analysis methods. Data science opens up new possibilities to extract information and knowledge even from complex data sets, thus increasing data usability. Data science is an inherently interdisciplinary field, in which methodological knowledge from computer science, mathematics, and statistics is used in the context of other domains such as natural sciences, sociology, digital humanities, engineering, health, or life sciences. Through the application of cutting-edge data science methods such as statistical techniques or artificial intelligence (e.g. machine learning), data can be processed, analyzed, visualized, and interpreted in an unprecedented quality. Hence, data science is the key to unlocking the data’s potential and transforming it into value.

STRENGTHENING DATA SCIENCE AT THE UNIVERSITY OF BREMEN

The DSC promotes data-driven science at the University of Bremen and unites the university's data science expertise in an interdisciplinary network. The DSC supports core research into emerging technologies such as machine learning or deep learning at the interface of mathematics, statistics, and computer sciences, as well as the transfer of these methods into applications in various research domains. The DSC brings together scientists from all faculties of the University of Bremen to jointly develop innovative research questions and initiate cross-disciplinary scientific collaboration in the context of data science.


GET IN TOUCH


DATA SCIENCE CENTER
University of Bremen
Bibliothekstraße 5
28359 Bremen

Follow us on TWITTER
Send us an E-MAIL
Become a MEMBER

SUPPORT FOR RESEARCHERS



OUR NETWORK

Join our interdisciplinary research community to exchange ideas about data science with like-minded scientists and to initiate new collaborations.


IT-INFRASTRUCTURE

The DSC provides computational resources to perform computation-intensive data analyses in research and education.


FROM IDEA TO RESEARCH

The DSC supports researchers in developing innovative research projects and new partnerships beyond their own disciplinary boundaries.


METHODOLOGICAL SUPPORT

The DSC supports scientists from all disciplines in the implementation and development of data science methods and technologies such as machine learning.


DSC SEED GRANT

The DSC offers funding to initiate or advance research projects and to enable across-faculty collaboration in the field of data science.


EXTERNAL FUNDING

The DSC maintains a regularly updated list of external funding sources for data science research and activities.