Bio: I am a Professor of Computer Science at Leibniz University Hannover and Head of the Scientific Data Management Group at the TIB – Leibniz Information Centre for Science and Technology. I am also a member of the L3S Research Center and the European Laboratory for Learning and Intelligent Systems (ELLIS). My research focuses on research data management, semantic data management, knowledge graphs, and neuro-symbolic artificial intelligence, with the aim of enabling knowledge-driven, explainable AI for scientific discovery and data-driven medicine. I have led numerous EU and nationally funded projects on trustworthy AI and semantic data infrastructures. My work advances Knowledge Graph Ecosystems and has been applied to biomedical knowledge graphs addressing societally critical conditions such as Long COVID, lung and breast cancer, as well as to industrial data integration in large-scale engineering environments. I have received distinctions from the Leibniz Association, including the Leibniz Best Minds Professorship and the Stifterverband Science Award for Responsible Research.

Bio: I am a Professor at the University of Copenhagen, Department of Computer Science, where I head the Copenhagen Natural Language Understanding research group, the Natural Language Processing section. My main research interests are fair and accountable NLP, including challenges such as explainability, factuality and bias detection. Prior to starting a faculty position, I was a postdoctoral researcher in the UCL Machine Reading group, and I hold a PhD from the University of Sheffield. In October 2022, I became Denmark’s youngest ever female full professor. I currently hold a prestigious ERC Starting Grant on 'Explainable and Robust Automatic Fact Checking'. My research has been recognised by a Karen Spärck Jones Award, as well as a Hartmann Diploma Prize. I am a member of the Royal Danish Academy of Sciences and Letters, and co-lead of the Danish Pioneer Centre for Artificial Intelligence. Source: https://isabelleaugenstein.github.io

Bio: President of Graphwise - the merger of Ontotext and Semantic Web Company. Founder and CEO of Ontotext. Product manager of GraphDB until 2010. Expert in semantic databases and knowledge graphs. Author of scientific publications with 3000+ citations. Shareholder and member of the board of Sirma Group Holding. Co-founder of the Linked Data Benchmarking Council (LDBC) - the association of the graph database vendors. Member of the board of GATE Big Data Institute. Source: https://www.linkedin.com/in/atanas-kiryakov-62a465/