Objective
To support current and future European strategies, in particular for environment and health, there is an urgent need for development of methods for assessing the cumulative risks from combined exposures to multiple stressors including from complex mixtures of chemical, physical, and biological agents. This presented IP will help support the development and improvement of a coherent series of methodologies that will be underpinned by mechanistic understanding, while integrating the risk analysis approaches of environmental and human health. The project will deliver understanding and tools for sound risk assessment, developing a research framework for the description and interpretation of combined stressor effects that leads to the identification of biomarkers and other indicators of cumulative impacts. The IP will help increase knowledge on the transfer of pollutants between different environmental compartments, including how these processes are influenced by natural stressors such as climate, and on the impact of cumulative stressors, including chemical mixtures. This will facilitate the link information concerning the condition of air, water, soil and the built environment with human and ecosystem health monitoring data. By developing and using improved assessment tools and novel models, the project will quantify and aim at reducing uncertainty in current risk assessment and screening methodologies, e.g. by improving the scientific basis for setting safety factors. The new methods will take into account geographical, ecological, social and cultural differences across Europe. The IP consortium is highly competent in the relevant areas, counting leading scientists within human toxicology and epidemiology, aquatic and terrestrial ecotoxicology, environmental chemistry/biochemistry, toxicogenomics, physics, mathematical modelling, geographic informatics, and socio-economic science.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- natural sciencesbiological sciencesbiochemistry
- medical and health scienceshealth sciencespublic healthepidemiology
- natural sciencesbiological sciencesecologyecosystems
- medical and health sciencesbasic medicinetoxicology
- natural sciencesmathematicsapplied mathematicsmathematical model
You need to log in or register to use this function
We are sorry... an unexpected error occurred during execution.
You need to be authenticated. Your session might have expired.
Thank you for your feedback. You will soon receive an email to confirm the submission. If you have selected to be notified about the reporting status, you will also be contacted when the reporting status will change.
Keywords
Topic(s)
Call for proposal
FP6-2003-GLOBAL-2
See other projects for this call
Funding Scheme
IP - Integrated ProjectCoordinator
AARHUS C
Denmark
See on map
Participants (38)
SWINDON
See on map
LEIPZIG
See on map
NIJMEGEN
See on map
VERCELLI
See on map
AMSTERDAM
See on map
PRAHA 10
See on map
LONDON
See on map
CAMBRIDGE
See on map
KRAKOW
See on map
TUEBINGEN
See on map
WAGENINGEN
See on map
AVEIRO
See on map
SWINDON
See on map
WUERSELEN
See on map
SALZBURG
See on map
BRUSSELS
See on map
HELSINKI
See on map
KAUNAS
See on map
6700 WAGENINGEN
See on map
ZUERICH
See on map
BILTHOVEN
See on map
IBBENBUEREN
See on map
AACHEN
See on map
ROMA
See on map
TORINO
See on map
LAUSANNE
See on map
LANCASTER
See on map
STOCKHOLM
See on map
STUTTGART
See on map
TARRAGONA
See on map
LEEDS
See on map
BOURGAS
See on map
MADRID
See on map
SOUTHAMPTON
See on map
CACHAN
See on map
ROSKILDE
See on map
D-65439 FLÖRSHEIM
See on map
ANTWERPEN
See on map