"Complexity Engineering"

“A complex system consists in a large number of interacting entities, preventing the prediction of its feedbacks, its behavior and its evolution by mere means of computation.”

This definition clearly draws the line between what is complicated, that we learnt to manage, and what is complex, that goes beyond our grasp. However, there is a real need for complexity management in several key domains such as renewable energy production, intelligent urbanism, climate prediction, transportation and energy networks planification, etc. In this context of increasing complexity levels, engineers, managers and decision makers all ask the same questions: “Is my result relevant?” “Where does this unexpected behavior come from?” “How do I evaluate risks and uncertainties?”… The common element between all these interrogations could be: “How do I think when confronted with complexity?”

Some past achievements

Support for EDF R&D in order to bring statistical algorithms into the SYRTHES thermal simulation software that is mainly used in the fields of nuclear security and building thermal management. Simulation software development in the field of sustainable energy production processes: concentrated solar plants (CNRS/PROMES) and photo-bioreactors (Institut Pascal, Clermont-Ferrand). Development of a software toolchain for understanding and quantifying the influence of greenhouse gases in atmospheric thermal exchanges (Laboratoire de Météorologie Dynamique, Paris-Jussieu).