Courses

Since 2019 the FRB-CESAB provides courses on analysis tools applied to biodiversity research and data management in ecology. Available in French or English, they are aimed at researchers working in the field of ecology (including PhD students, post-doctoral fellows, engineers).


Ongoing


Reproducible Research in Computational Ecology

Since 2019  •  Co-organised with the GdR EcoStat
A five-day training course on reproducibility, software development and version management tools (Research compendium, Git, GitHub, R Markdown, Quarto, renv, Docker).

 https://rdatatoolbox.github.io/
 https://github.com/rdatatoolbox/


Theory-Driven Analysis of Ecological Data

Since 2022  •  Co-organised with the GdR TheoMoDive
A five-day training course on mathematical modelling (differential equations, Lotka Volterra, Jacobian matrices), and the statistical links between models and data.

 https://theodatasci.github.io/
 https://github.com/theodatasci/


Systematic Reviews & Meta-Analyses

Since 2022  •  Co-organised with the UMS PatriNat
A five-day training course on methods and techniques of meta-analyses and systematic reviews/maps applied to the field of biodiversity.

 https://literaturesynthesis.github.io/
 https://github.com/literaturesynthesis/


Analyzing Ecological Networks

Since 2024  •  Co-organised with the ANR ECONET
This five-day training course is an introduction to networks, classical metrics (including modularity, nesteness, clustering), null models, generative models (including SBM), multilayer networks.

 https://econetoolbox.github.io/
 https://github.com/econetoolbox/


Biodiversity Data Management

Since 2024  •  Co-organised with the PNDB & GBIF France
A five-day training course on the different stages of the data cycle, from acquisition to opening, including management, storage and the drafting of data papers.

 https://biodiversitydata.github.io/
 https://github.com/biodiversitydata/


Artificial Intelligence for Ecologists: A Toolkit

Since 2025
A five-day training course to initiate ecologists to AI concepts and tools (data science, Random forest, Multilayer Perceptron, Convolutional Neural Networks, Symbolic AI).

 https://ai-ecol.github.io/
 https://github.com/ai-ecol/


Finished


Functional Rarity and Diversity in Ecology

2022  •  Co-organised with the CESAB working group FREE
A four-hour training course on functional rarity and diversity in ecology using the R packages mFD and funrar.

 https://frbcesab.github.io/workshop-free/
 https://github.com/frbcesab/workshop-free/