Courses
Since 2019 the FRB-CESAB offers courses for the research community.
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/
Coming soon
Artificial Intelligence & Biodiversity
Planned in 2024
Finished
https://frbcesab.github.io/workshop-free/
https://github.com/frbcesab/workshop-free/