AIKG-SD 2026
NFDI4DataScience and the AIX Lab at Leuphana University Lüneburg are hosting their third summer school on Artificial Intelligence and Knowledge Graphs for Scholarly Data. Join us for two days of interesting discussions and insights, casual networking, and summer vibes on the beautiful Leuphana campus.
Under the theme “AI for Research”, the third edition of AIKG‑SD focuses on building trustworthy, explainable, and reproducible AI‑driven research tools. Besides, it covers the overarching role of Artificial Intelligence (AI) and Knowledge Graphs (KGs) in the scholarly landscape, particularly on integrating AI solutions with domain‑specific KGs and curated scholarly data to support researchers throughout the research lifecycle.
Objectives:
- Showcase AI and KGs in action across disciplines.
- Build Practical Skills: Offer hands-on sessions to enable participants to apply AI techniques to their own datasets and research questions.
- Promote Trustworthy and Responsible AI for Research: Address challenges in explainability, reproducibility, transparency, bias, and data governance across AI‑driven scholarly systems.
- Foster Interdisciplinary Collaboration: Create a collaborative environment where researchers from diverse fields can exchange ideas, share experiences, and explore synergies in AI‑ and KG‑driven research.
We invite early-stage researchers to present their work related to AI for Research as posters, with a chance of winning a Best Paper Award. Please note that participation in the summer school is only possible if you are invited to present a poster. Find the CFP (Call for Participation).
