[FRB-CESAB] Biodiversity knowledge synthesis: an introduction to meta-analyses and systematic reviews – 2023
Pre-registrations for this training course are now closed.
The CESAB – Centre for Biodiversity Synthesis and Analysis – of the FRB is offering the second edition of the following training course: “Biodiversity knowledge synthesis: an introduction to meta-analyses and systematic reviews“. This five-day course aims to train young researchers on the methods and techniques of meta-analyses and systematic reviews/maps applied to the field of biodiversity.
In addition, it will be an opportunity to become familiar with the various different tools available, both bibliographic (e.g., WOS; Zotero/Mendeley/Endnote) and statistical (R packages: metaDigisitise, metafor…), necessary for undertaking a review and meta-analysis.
The training course will be given in French and will take place from 2 to 6 October 2023 at CESAB, in Montpellier. The price will be 150 € for the week, including lunch. Travel, accommodation and evening meals are at the expense of the participants.
Proficiency in R software is required but no experience in meta-analysis or systematic review is necessary.
- Damien BEILLOUIN (Cirad – Hortys)
- Jonathan BONFANTI (Inrae – Eco&Sols)
- Sylvie CAMPAGNE (Station biologique de Roscoff)
- Nicolas CASAJUS (FRB-Cesab)
- Joseph LANGRIDGE (FRB-Cesab)
- Dakis-Yaoba OUEDRAOGO (PatriNat)
- Romain SORDELLO (PatriNat)
Autres intervenants (Guest speaker) : Frédéric GOSSELIN (INRAE)
Training course: 2 – 6 October 2023
- Pre-registration opening
17th April 2023
- Pre-registration deadline
22nd May 2023, midnight (CEST)
- Inscription confirmation
CESAB – FRB
5, rue de l’École de médecine
Historically, the application of meta-analysis first came from the field of medical research (Cochrane) designed to objectify decision making (medical treatments) through quantitatively synthesizing a large collection of results from individual studies. In ecology, there existed narrative reviews. They were often written by expert opinion leaders, but were done using non-systematic methods, and based on the research that is known to them, as opposed to the full spectrum of existing knowledge.
Today, the importance of using systematic methods to reduce bias in reviews of a body of evidence is somewhat distinguished as an issue separate from meta-analysis. Systematic reviews follow a standardized framework ensuring objectivity, comprehensiveness, transparency, and replicability to identify and synthesize the results of all relevant independent studies (for ecology, the reference association is the Collaboration for Environmental Evidence (CEE)). They are often considered the strongest form of scientific evidence synthesis because they minimize the different types of bias offering increased statistical power and robust results, which can help to resolve conflicting results across primary studies.