We organise on-demand workshops and seminars on statistics or ethics in AI. These workshops, typically limited to 15-30 participants and spanning over 1-3 days address fundamental principles without coding, heavy data science or complex math. Through a mix of lectures, discussions, group activities, and hands-on activities, participants explore pitfalls and misconceptions. All participants receive comprehensive digital materials, including course PDF, examples, and reference guides. Materials remain accessible after the course on an online shared folder.
The events may be given in-person or online.
Organisation of workshops
Events on statistics: typical contents
Demystifying biostatistics and addressing its crucial role in scientific reliability without coding or complex math. By the end of the workshop, attendees gain practical knowledge they can immediately apply in their laboratory work, while building a foundation for more advanced statistical training.
- Design: sampling, power and sample size
- NHST, (mis)interpretation of p-values, test selection
- Multiple testing
- Linear regression and linear models (for dummies)
- Quantitative reporting and data visualisation
- and more...
Events on good practices in AI: typical contents
Equipping participants with knowledge and practical skills in using generative AI as a scientific assistant. The idea is to give attendees sufficient knowledge to use AI ethically but also to more efficiently collaborate with ad hoc data scientists.
- Tokenisation and attention
- Prompt engineering for LLM
- AI "hallucinations"
- Scientific writing with AI
- Ethics: bias, accountability in AI use, transparency...
- Legal aspects in Switzerland, EU and beyond
- and more...
