Card Hover Effect Das CIDAS

The Campus Institute Data Science (CIDAS) is a central scientific unit of the Georg-August-University. CIDAS promotes interdisciplinary exchange and activities, among faculties and campus-wide, in the field of data science. This particularly applies to coordination and further development of activities in research, teaching and knowledge transfer.


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News
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HumanCLAIM Workshop

The HumanCLAIM workshop is back for its 4th edition on the 16th/17th of March at the Historical Sternwarte. We have invited internationally renowned experts to discuss the human perspective on cross-lingual AI models. We expect an interdisciplinary audience from computer science, linguistics, and computer science.

Check out the full program and register here

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Highlights
FELLOWSHIP
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FELLOWSHIP

In order to give excellent early-career researchers the opportunity to pursue their own innovative research questions in Data Science and Artificial Intelligence, CIDAS awards fellowships to support these projects.

SECTIONS
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SEKTIONEN

Within CIDAS, sections serve as subject-specific subsections for coordinating teaching, research, infrastructure, and services around thematic or disciplinary areas.

KISSKI
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KISSKI

KISSKI is one of four AI service centers funded by the German Federal Ministry of Education and Research (BMBF) since November 2022. These AI service centers aim to advance AI research in Germany and promote widespread application-oriented knowledge transfer.

QuCellAI
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QuCellAI

The CIDAS/Sartorius “Quantitative Cell Analytics Initiative” is a partnership between academic partners of the Göttingen Campus and the company Sartorius. The goal is to combine live-cell imaging with cutting-edge artificial intelligence in order to deepen our understanding of fundamental biological processes, explore therapeutic interventions, and ultimately develop new therapies.



Lectures


Further events


Research
Subject of Research

The members of CIDAS conduct research in various areas of Data Science and digitalization. This encompasses both methodological and application-driven questions in Data Science, as well as investigations into the social science implications of digitalization.

Teaching

Services
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