AI for science

Opportunities, limitations and practical applications

Topics (selection)

  • Basics: What is AI and how does it work?
  • AI in data analysis and pattern recognition
  • Automation of routine tasks in research
  • Text and image generation: potential and pitfalls
  • Practical exercises: Trying out and evaluating AI tools
  • Ethical issues and scientific integrity

Course Description

Artificial intelligence is increasingly changing scientific research. From data analysis and the automation of routine tasks to support in writing and visualisation, AI-supported methods open up new possibilities, but at the same time raise questions about quality, reliability and responsibility.

In this course, participants will gain a practical overview of how AI tools can be used effectively in science – and where their limitations lie. Using concrete examples and exercises, opportunities and risks will be critically reflected upon and possible applications for participants' own work contexts will be discussed.

Organisational requirements

up to 12 participants
4 / 8 / 16 hours
online / in person
German / English

The seminar is offered as a 4, 8 or 16 hour online or in person course. The thematic focus will be agreed upon individually in each case.

This workshop is available in German as well as English. The number of participants is limited to 12.

You are interested in this course?

We look forward to your inquiry!

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