DynEnVie
The DynEnVie team focuses its research on the modelling and analysis of dynamical phenomena met in agro-ecology and epidemiology. Its main skills are dynamical systems, stochastic processes and statistics. It deals with complex systems and data, including spatial or network structures.
Main methodological research fields:
- dynamical systems;
- stochastic processes, branching processes;
- frequentist and Bayesian statistics;
- sensitivity analysis, computer experimentation, metamodelling.
Main application fields:
- disease spread in livestock (meta)populations;
- plant landscape epidemiology and gene flow;
- food risk assessment;
- genotype-environment interaction in crop growth.
Main partners of the team :
- UMR de Génétique Végétale du Moulon, INRA - CNRS - AgroParisTech - Université Paris-Sud
- UR1290 BIOGER-CPP (BIOlogie GEstion des Risques en agriculture - Champignons Pathogènes des Plantes), INRA
- UMR0211 Agronomie, INRA-Versailles-Grignon - AgroParisTech
- UAR1240 ECO-INNOV (Unité Impacts Ecologiques des Innovations en Production Végétale), INRA-Versailles-Grignon
- UMR1019 UNH Unité de Nutrition Humaine, INRA- Theix
- UMR 1300 BioEpAR Bio-agression, Épidémiologie et Analyse de Risque, INRA-ONIRIS Nantes
- UMR 7625 Ecologie et évolution, UPMC-CNRS-ENS Paris
- University of Cambridge, Epidemiology and modelling group
- UMR 7599 Laboratoire de Probabilités et modèles aléatoires, Universités Paris 6 et 7 - CNRS - FDR Mathématiques Paris Centre
- Unit Mét@Risk, INRA-Paris
- Anses, Maisons-Alfort
Leader: Hervé MONOD
Writing:
HM
Creation date: 08 November 2011
Update: 23 January 2012
Contact:
