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., OECD guideline 243, July 2016).

These new official texts all recommend the use of appropriate mathematical and statistical modelling tools, for cognitive and predictive purposes. They promote the optimization 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 to improve their skills in modelling and statistical inference for, among other things, a better analysis of their bioassay experimental data.

From January 30th to February 3rd 2023

Lyon, France

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