ai DAYS (Monday to Thursday: Intensive workshop - same agenda each day)
Morning (Theory & Introduction)
-Introduction to generative AI in academic practice
-Overview of relevant tools (e.g., ChatGPT, Claude, Copilot)
-Potential applications, strengths, and limitations of AI
-AI-assisted literature review and knowledge discovery
-Fundamentals of good scientific practice when working with AI
-Introduction to Research Data Management (structured handling of data, documentation, traceability)
Afternoon (Practice & Application)
-Application of AI in academic writing (optimization, structuring, revision)
-Support with programming and debugging using AI
-Using AI for brainstorming and developing research approaches
-Fundamentals of legal aspects (copyright, data protection)
Friday: Joint Closing Day
Morning (Practical Lab)
-In-depth application of the content learned
-Practice examples and transfer to one’s own work context
-Guided work phase with individual support
Afternoon (Transfer & Exchange)
-Open Q&A session
-Exchange of experiences and challenges
-Best practices for the sustainable use of AI in research
-Summary and conclusion
