Digital Science and Technology

Development of a methode for joint comparative analysis of omics data (multi-strain/conditions): application to the filamentous fungus Trichoderma reesei

IFPEN conducts research to optimize biotechnological processes in the field of bio-based chemistry and biofuels. A significant part of these improvements is based on a better understanding of the microorganisms used with the help of systems biology. For this purpose, omics data are collected to represent the different regulatory layers of a cell according to given conditions. However, the processing of these data is usually done by stratum and hardly exploits the complementarity of the regulations.

Towards the creation of a backcasting-oriented model of mobility systems: identification of surrogate models from detailed traffic simulations

An emerging approach is expected to change the way of designing and assessing future mobility of people and goods. Whether it will be more electrified, connected, automated, digitalized or not, it will depend on which targets we aim to reach at given time horizons: environmental, economic, societal, etc. In the new paradigm, these targets will be set first, then the most appropriate roadmap of policies and technologies needed will be established (“backcasting”), as opposed to the current approach where potential actions are assumed, then their impacts are “forecasted” and assessed.