| Title |
AI for Article Writing: A Soft Toolbox
|
| Dates |
1-2 April 2026 |
| Organizer(s) |
Romain-Daniel Gosselin, Dr., DataBio |
| Speakers |
Romain-Daniel Gosselin, Dr., DataBio |
| Description |
This immersive two-day course aims at equipping participants with knowledge and practical skills in AI-assisted scientific writing. The program covers AI fundamentals, ethical considerations, and hands-on applications.
Participants will learn good practices as well as major caveats in prompt engineering, scientific writing, and literature retrieval using usual web-based AI tools. Through interactive workshops and problem-solving sessions, students will develop critical skills, all without requiring technical expertise in data science.
The course particularly emphasizes the responsible use of AI in research.
|
| Program |
Provisory Program
Day 1: Foundations and practical AI applications in writing
• Introduction to AI in life sciences.
Brief history of AI/ML/NLP/LLM; introduction of algorithm functioning; current landscape of available tools for life scientists.
• Ethical considerations in AI.
Research integrity; potential biases; considerations about authorship and citations; data privacy and confidentiality; institutional guidelines.
• Prompt engineering fundamentals.
CraNing effective prompts; zero-shot vs few-shot learning; techniques for scientific writing; avoiding and spoPng allucinations; practical exercises in prompt design.
• AI for scientific writing.
Literature retrieval and summarization; draNing manuscript sections; reference management; edition and refinement techniques; hands-on writing workshop.
• Practical session: Writing.
Use of generic (ex: ChatGPT, Claude) and specific (ex: askyourpdf, consensus) tools; comparative analysis of outputs and capabilities; Hands-on exploration.
Day 2: Advanced AI functionalities of AI in the management of scientific contents
• AI in literature retrieval.
Use of generic (ex: ChatGPT, Claude) and specific (ex: askyourpdf, consensus) tools.
• PiXalls of AI use in article writing.
Be wary of "hallucinations"; issues with content standardisation and tortured phases.
• Practical workshop: writing.
Group challenges: writing a short (2 pages) referenced article on a given topic (free choice of tools); presentations of group outputs; critical evaluation.
• Can I peer review helped by AI?
Extracting information from a manuscript; detecting the use of AI; structuring a review report; journal regulations.
• Practical workshop: peer reviewing.
Group challenges: peer reviewing a given (short) text; focus on the detection of AI contents, detection of fabricated images, and the writing of the review report.
• Caveat with AI detectors.
Presentation of detectors; AI detectors lack reliability; A variety of outputs.
• Final conclusions.
Course wrap-up, perspectives, recommendations for continued learning
|
| Location |
University of Lausanne, Room TBA
|
| Information |
This course is organized in collaboration with the CUSO Doctoral Programs in Ecology & Evolution, Microbial Sciences and StarOmics and the Doctoral School in Life Sciences of Neuchâtel (DSLS) |
| Expenses |
Reimbursements for CUSO MPS Students:
Train ticket, 2°class, half-fare from your institution to the place of the activity
Reimbursement of your travel tickets can be asked online through your MyCUSO.
See HERE for the procedure.
CUSO MPS Students: For any question concerning reimbursement please contact the CUSO MPS coordinator Debora Zoia
Other participants: Please contact your Program Coordinator |
| Registration |
REGISTRATION IS CLOSE
Deadline for registration: TBA
- 5 places for CUSO MPS
- 5 places for CUSO StarOmics
- 4 places for CUSO Microbiology
- 3 places for CUSO Ecology&Evolution
- 3 places for DSLS
For cancellations after the registration deadline or no-show: 50 CHF administrative fee |
| Places |
20 |
| Deadline for registration |
|
short URL