# AI4Science Training at UFZ Magdeburg 2026

In this AI training for scientists, we will learn how Generative Artificial Intelligence works, try out various AI systems, and learn how to use such systems properly. We will also dive into responsible AI usage and legal constraints.

Slides are available [online](https://doi.org/10.5281/zenodo.19239480) for reuse. Materials on this website and slides can be reused under the conditions of the [CC-BY 4.0](https://creativecommons.org/licenses/by/4.0/deed.en) license, unless mentioned otherwise.

## Program March 27th 2026

9:00 - 9:45 [Introduction and Fundamentals](session1/AIST1_Intro.pdf)

* Introduction to Artificial Intelligence, AI systems, AI agents and language models
* Application areas and limitations of AI in text generation
* Prompt engineering
* AI-assisted literature research

9:45 - 10:45 Exercises

* [Speech Generation](session1/speech-generation.md)
* [Deep Research](session1/deepresearch.md)
* [Video Overviews](session1/notebooklm.md)

10:45 - 11:00 Break

11:00 - 12:15 [Advanced Usage](session2/AIST2_Advanced.pdf)

* Retrieval-Augmented Generation
* Text Analysis / Information Retrieval
* Vision Language Models
* Data Analysis Code-Generation

12:15 - 13:00 Lunch break

13:00 - 14:00 Exercises

* [AI-supported Consulting / Implementation of your own ChatBot](session2/chatbot.md)
* [Writing Proposals](session2/writing-proposals.md)
* [Searching through Documents](session2/searching_documents.md)
* [Data analysis](session2/ai_data_analysis.md)
* [Code Generation in Jupyter](session2/bia-bob-demo.ipynb)
* [Code Generation in R/Positron](session2/generating-r-code.md)

14:00 - 15:00 [Responsible Use of Generative AI and Legal Framework](session3/AIST3_Ethics_Legal_Framework.pdf)

* Data protection compliant usage
* Copyright
* EU AI Act

15:00 - 15:30 Exercise, Discussion and free experimentation

* [AI Detectors](session3/ai-detectors.md)
* [Bias Detection](session3/bias_detection.md)

15:30 - 15:45 Final discussion, feedback round

## Trainer

* [Lina Höck, LL.M.](https://orcid.org/0009-0004-5754-3409), [come2data](https://www.come2data.de), TU Dresden
* [Dr. Robert Haase](https://haesleinhuepf.github.io/), [ScaDS.AI Dresden/Leipzig](http://scads.ai/), Uni Leipzig

## Acknowledgement

We acknowledge the financial support by the Federal Ministry of Education and Research of Germany and by Sächsische Staatsministerium für Wissenschaft, Kultur und Tourismus in the programmes „Stärkung der Datenkompetenzen des wissenschaftlichen Nachwuchses“, project identification number: 16DKZ2044.
We acknowledge the financial support by the Federal Ministry of Education and Research of Germany and by Sächsische Staatsministerium für Wissenschaft, Kultur und Tourismus in the programme Center of Excellence for AI-research "Center for Scalable Data Analytics and Artificial Intelligence Dresden/Leipzig", project identification number: ScaDS.AI