On June 25 and 26, 2026, the IOW is hosting the first workshop of an NFDI4Biodiversity topic table on the subject of “AI Tools for Metadata Extraction in Sequence Databases.” Around 30 experts in research data management, science and business from 17 institutions in Germany and beyond have come together to discuss how metadata in sequence data archives can be made more readily searchable, comparable, and easier to use for specific research questions in the future through the use of artificial intelligence (AI).

The presence of the marine bacterium Vibrio vulnificus, which is potentially dangerous to humans, can now be predicted up to five weeks in advance in the Baltic Sea using artificial intelligence (AI). A research team led by the IOW reached this conclusion by combining high-resolution environmental, satellite, and microbiome data in an AI-based analysis. The study, recently published in “Water Research,” shows that this approach allows for a much more precise identification of risk periods than was previously possible.