Organisation of workshops
We can organise on-demand workshops and seminars on statistics or ethics in AI. These workshops, typically limited to 15-25 participants and spanning over 2-3 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.
The events may be given in-person or online.
Workshops on statistics
These events demystify biostatistics and address its crucial role in scientific reliability without coding or complex math. The focus is on developing logical thinking and understanding fundamental concepts.
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. All participants receive comprehensive digital materials, including course PDF, tutorial datasets, code examples, and reference guides. Materials remain accessible after the course on an online shared folder.
Typical contents
- Sampling and sampling methodologies
- Power and sample size estimation
- Null hypothesis testing and (mis)interpretation of p-value
- Choosing a statistical test
- Multiple testing
- Linear regression and linear models (for dummies)
- Quantitative reporting and data visualisation
- and more...
Seminars on good practices in AI
These immersive events aims at equipping participants with knowledge and practical skills in using generative AI as a scientific assistant. The program covers AI fundamentals, ethical considerations about privacy, bias, transparency and accountability, and hands-on applications. Participants will learn good practices as well as major caveats in prompt engineering, research design, scientific writing, and literature retrieval using usual web-based AI tools. The idea is to give attendees sufficient knowledge to use AI but also to more efficiently collaborate with ad hoc data scientists.
Typical contents
- Brief history and overview of AI
- Tokenisation and attention
- Prompt engineering for LLM
- AI "hallucinations"
- AI tools for research design
- General AI ethics
- Algorithmic bias
- Accountability in AI use
- Transparency
- Legal aspects in Switzerland, EU and beyond
- And more...
After the workshops...
After completing our workshops, participants receive one month of dedicated email support to address follow-up questions. Our expert instructors aim to respond within 48 hours, providing clarification on theoretical concepts and guidance on applying newfound skills to real research scenarios. Extended support is available through our mentoring program.
