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Welcome to ACROPOLIS

Project summary

Current risk assessment of pesticides, and MRL setting does not sufficiently account for cumulative and aggregate exposure (Regulation (EC) 396/2005). The central aim of the project is to improve risk assessment strategies in Europe. The project will develop a framework for cumulative and aggregate risk assessment of pesticides that is scientifically sound and accessible for all actors involved in the European risk assessment and risk management.

This work consists of: 1) studying the data needs, data availability and organization including uncertainties for cumulative exposure and effect assessment in a probabilistic risk assessment framework; 2) integrating models describing various routes of exposure into an aggregate exposure model; 3) setting up new toxicological testing for identifying possible additive or synergistic effects and developing a strategy for refinement of cumulative assessment groups; 4) integrating cumulative and aggregate risk models including uncertainty analyses in a web-based tool, including accessible data for all stakeholders; 5) improving risk assessment strategies in Europe by analysing stakeholders attitudes, by training and by discussing the new methodology in several stakeholder conferences.

The project brings together the key experts and key risk models in Europe such as dietary exposure (MCRA), dermal and inhalation exposure (ConsExpo, EUROPOEM and UK POEM) related to professional and non-professional use. The new risk model will be validated and tested in different countries to ensure its usability at the international level.

Cumulative pesticide risk assessment is a multi-stakeholder issue. European consumer groups have raised their concern and the pesticide industry has an urgent need for clear criteria in order to justify the enormous investments in producing new pesticides. The ACROPOLIS project will therefore organise stakeholder conferences to address the complex issue of cumulative and aggregate risk assessment and the usability and user-friendliness of the models will be tested.