Seminar: Good Scientific Practice in Computer and Data Science

Participants develop an understanding of the basic principles of good scientific practice. They will be able to place scientific work in a broader context and understand the importance of integrity and responsibility in research. They deal intensively with aspects of quality assurance and learn to critically scrutinize scien-tific statements. They also acquire knowledge about ethical challenges in research and develop strategies to avoid conflicts and misconduct in the scientific environment.

After successfully completing the module, students will be able to…

• effectively structure a research paper,
• are familiar with formal and structural norms regarding outlines, formatting, bibliographies, etc.,
• identify the principles of good scientific writing, apply them to their own writing and revise the manu-scripts of others accordingly,
• participate in technical and scientific discussions,
• give constructive feedback to colleagues,
• present a research project they have worked on and lead a technical discussion about it.

23 Oct. 2025 Day 1

• 09:00 - 10:00 Organization – Julian Kunkel
• 10:00 - 12:00 How to PhD – Dennis Trautwein
• 12:00 - 13:00 Break
• 13:00 - 17:00 Good Scientific Practice – Sascha Safenreider
  • Exercise: Solving common mistakes of Good Scientific Practice

24 Oct. 2025 Day 2

• 09:00 - 12:00 Scientific Reading – Sadegh Keshtkar
  • Excercise: Get to know of common practices
• 12:00 - 13:00 Break
• 13:00 - 17:00 Scientific Writing – Sadegh Keshtkar
  • Excercise: Get to know of common practices

23 Feb. 2026 Day 3

• 09:00 - 12:00 Reviewing & Feedback – Aasish Kumar Sharma
  • Use of reviewing and feedback strategies on own written papers
• 12:00 - 13:00 Break
• 13:00 - 17:00 Presenting & Discussing – Michael Bidollahkhani, Zoya Masih

23 Mar. 2026 Day 4 - Online

• 09:00 - 12:00 Final Session – Lorenz Glißmann, Sascha Safenreider
• 12:00 - 13:00 Break
• 13:00 - 17:00 Reflection – Lorenz Glißmann, Sascha Safenreider