|06-10 January 2020
|| 4 days
|| Specialised course
|| 3 ECTS
| Jean Bosco Center, 14 Rue Roger Radisson, 69005 Lyon – France
European guidelines for risk assessment of chemicals have recently been modified (REACH, directives for pesticides and biocides) in particular to improve their ecological realism while limiting the use of laboratory animal testing. In addition, the OECD undertook a revision of guidance documents for laboratory bioassays in order to strengthen the relevance of data analysis methods (e.g., OCDE guideline 243). These new official texts all recommend the use of appropriate mathematical and statistical modelling tools, for cognitive and predictive purposes. They promote the optimisation of data analysis (e.g., interpolation between the concentrations tested in bioassays) and the use of modelling as a basis for predicting effects under different environmental conditions (e.g., extrapolation between different scenarios and different exposure times, extrapolation from the individual to the population level, or extrapolation from one species to another).
This school aims at helping ecotoxicologists, regulators, managers, NGOs and other stakeholders to improve their skills in modeling and statistical inference for, among other things, a better analysis of their bioassay experimental data.
General knowledge in R is not mandatory but, having some basic skills can be helpful. For experienced R-users more advanced exercises will be provided. In the same way, basic statistical skills on hypothesis tests and basic dose-response curve can be helpful but are not mandatory.
Participants must bring their own laptop with a list of software that will be sent in advance.
Have a look on the website for further information.