Welcome to the Research Information System of the University of Bamberg
Interdisciplinarity and international networking are core strengths that characterise the University of Bamberg’s distinguished research.
The Research Information System (Forschungsinformationssystem = FIS) offers you a coherent overview over the various research activities and results from the entire range of disciplines at the Otto-Friedrich-University and its affiliated institutes. The FIS also serves as the publication server of the University of Bamberg where academic publications and research data can be published in Open Access.Four outstanding fields of interdisciplinary research particular profile-enhancing research focus areas:
- Digital Humanities, Social and Human Sciences
- Empirical Social Research on Education and Labour
- Analysis and Preservation of Cultural Heritage
- Medieval Culture and Society
You can find further information about research activities and about the transfer of knowledge and technology as well as our research profile on our websites.
Important News
in the FIS
ORCID is an internationally widespread identifier for scientists. Do you already have an ORCID iD? You can link it to your FIS profile and make your research results even more visible. More information.
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Online-course FIS (focus on publications)
Current dates and information in the VC.
Publications
55808
Researchdata
199
Projects
911
People
1927
New Publications and Research data
- Ein Scheiterhaufenplatz mit doppeltem Pfostenkreis : Das Grab einer adeligen Sächsin?
Document Type Article
New Projects
- Automatic Fact Checking for Biomedical Information in Social Media and Scientific LiteratureFundamentals of Natural Language Processing
- Computational Event Evaluation based on Appraisal Theories for Emotion AnalysisFundamentals of Natural Language Processing
- User’s Choice of Images and Text to Express Emotions in Twitter and RedditFundamentals of Natural Language Processing
- The Interplay of Emotions and Convincingness in Argument Mining for NLPFundamentals of Natural Language Processing
- Interactive Prompt Optimization with the Human in the Loop for Natural Language Understanding Model Development and InterventionFundamentals of Natural Language Processing