Detailed information about the course
| Title | Summer School in Mathematical Modelling for Evolutionary Biology |
| Dates | Aug 31 - Sept 5, 2026 |
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| Responsible | Charles MULLON |
| Organizer(s) | Prof Charles Mullon, UNIL |
| Speakers | Prof. Laurent Lehmann, Full Professor, Department of Ecology and Evolution, UNIL Prof. Sara Mitri, Associate Professor, Department of Fundamental Microbiology, UNIL Prof. Sonja Lehtinen, Associate Professor, Department of Computational Biology, UNIL |
| Description |
This summer school offers hands-on training in mathematical and computational modelling in evolutionary biology and evolutionary ecology. Participants will learn to develop and analyse models using invasion analyses and individual-based simulations. Through a series of worked examples drawn from social evolution, life-history evolution, and species interactions, participants will learn how to translate a biological problem into a mathematical model, identify its key assumptions, and analyse its evolutionary outcome. By the end of the course, participants will have strengthened their ability to construct and analyse models, gained a clearer understanding of the principles governing adaptation, and developed greater precision in interpreting and communicating modelling results to other biologists.
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| Program |
The programme will combine theoretical lectures with practical exercises. In addition to guided exercises, participants will be divided into small groups to analyse classical problems in evolutionary ecology. This group work will promote collaborative learning and foster critical discussion of theoretical concepts and the results obtained.
For scientific questions, please contact [email protected] |
| Location |
UNIL, Biophore 2205 |
| Map | |
| Information | Includes :
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| Expenses | CUSO Biology members: Free (covered by CUSO) but deposit of 100 CHF - returned once your completed the course. Other candidates : please apply directly on the UNIL website. |
| Registration |
The application must include:
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| Places | 10 |
| Deadline for registration | 27.06.2026 |