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Home > The FRB in action > The FRB’s programs & projects > Synthesis at CESAB > Expand your skills > Best practice for Reproducible Research in Computational Ecology
Course organised since 2019

Best practice for Reproducible Research in Computational Ecology

The objective of this five-day course is to train young researchers in reproducibility, software development and version management tools (Git, GitHub, R Markdown, Quarto, renv, Docker), applied to biodiversity research.

Best practice for Reproducible Research in Computational Ecology

Pre-registrations for the 2023 training course session are now closed.

 
The objective of this five-day course, co-organized with the RT EcoStat, is to train young researchers in reproducibility, software development and version management tools (Git, GitHub, R Markdown, Quarto, renv, Docker), applied to biodiversity research. 

 

This training will be given in French and takes place in the autumn at CESAB offices in Montpellier. Its price is 150€ for the week – lunch included. Transportation, accommodation and evening meals are at the charge of the participants.

 

 

 

Formation : recherche reproductible écologie

 

 

Find the course on Github

 

 

List of speakers (in alphabetical order):

  • Iago BONNICI (CNRS ISEM)
  • Nicolas CASAJUS (FRB-Cesab)
  • François GUILHAUMON (IRD Entropie)
  • Aurélie SIBERCHICOT (UCBL LBBE)
USEFUL INFORMATION

This training course takes place in the autumn

 

• Pre-registration opening

spring

 

• Pre-registration deadlines

summer

CESAB – FRB

5, rue de l’École de médecine

34000 Montpellier

 

Contact

 

Nicolas CASAJUS 

FicheMail

CO-ORGANISER