Projects

Description

Modelling long-term and early intervention control strategies to evaluate their effectiveness according to the level of proliferation

Fundings

Co-financing IRSTEA and EDF

Participants

Co-supervision IRSTEA Clermont-Ferrand and IRSTEA Grenoble

Thesis started in October 2017 under the direction of Denis Couvet (dir.) And Sophie Martin (co-dir.)

This thesis project is located at the confluence between ecology, social sciences and complex phenomena modeling. It focuses in particular on the study of the compatibility of the objectives of socio-economic development and sustainable management of natural resources, seeking to identify, through a model in the form of differential inclusions, the conditions for the sustainability of human activities.

PhD thesis started in October 2018 (François Leger, director), Sophie Martin (co-director), Francesco Accatino (supervisor) - Corentin Pinsard

European farming systems will have to meet a growing demand for food products in response to a number of environmental, economic and social challenges. This thesis project aims to improve our understanding of resilience properties in European farming systems.

Description

The objective of the RAZ13 project is to present new indicators related to risk management. Based on different modeling assumptions associated with different mathematical formalisms, these indicators have in common the explicit consideration of the dynamic nature of the phenomena under consideration.

Participants

IRSTEA Clermont-Ferrand, Montpellier, Grenoble

Description

Viability problems arise in several scientific fields (robotics, economics, environmental sciences). Once the set of constraints to be satisfied is specified and the dynamics described, the viability problem is the study of the compatibility between these constraints and these dynamics; Control strategies governing viable evolutions if any can then be deduced.

Analytical solutions to sustainability problems are very rare. Approximations can then be calculated, we call them Viable Numerical Objects.

VINO repository

Fundings

RNSC