eventAI for Research [AI for Research] (S)
person Ricardo Usbeck

Next appointment: 24. September at 12:00

Dates

single appointment | Th, 24.09.2026, 12:00 - Th, 24.09.2026, 20:00 | intern | Trafos
single appointment | Fr, 25.09.2026, 09:00 - Fr, 25.09.2026, 12:00 | intern | Trafos

Curriculum context

Geben Sie Prüfungen bitte in myCampus ein.

Organizational information

Seminar
Vollständig Präsenz
2
without registration
20

Registration

without registration

Persons

Content

Englisch
AI for Research
none

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 (noon-to-noon) of interesting discussions and insights, 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.

• 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.

Participation is only possible in accordance with an succesful application for the summer school.

Evaluation

This course has not been registered for teaching evaluation yet.

Further information on teaching evaluation: https://www.leuphana.de/en/teaching/quality-management/evaluation/course-evaluation.html

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