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Data mining for assessing and monitoring the hydrobiologic quality of running waters – Fresqueau
The project will contribute to answer to two specific issues: (1) going further into the understanding of running waters functioning through the analysis of the taxons at the base of biological indices (2) connecting sources of pressures on the environment to the physicochemical and biological quali
Data observatory in the era of multi source Big Data – Aerial
The recent explosion in data acquisition capabilities and observing modes from satellites and facilities in astronomy and Earth observation is resulting in a rise in the level of data acquired, to be processed and analysed, presenting a technological challenge. The Gaia mission from ESA, for instanc
Data-Intensive Artificial Intelligence – DIAI
We are currently witnessing a tremendous increase in the amounts of data being produced and/or collected by several applications and scientific disciplines. This has been made possible with the recent advances in sensing instruments that allow the observation of different real world phenomena at a s
Data-Knowledge Integration to improve the reliability of LCA projets in the Enterprise of the futur – i-DAVE
Despite the growing interest in life cycle assessment (LCA) and product carbon footprint (PCF) methods and tools, their application faces three challenges: data collection, the selection of relevant cost centers, and the robustness of reference databases. These challenges are very difficult because
Data-based engineering science and technology of polymers and filled polymers – Data-BEST
Data-driven science and technology for polymer and reinforced polymer engineering is a research program that aims at data-driven modeling of complex fluids. Polymers and their formulations are so-called complex materials, whose predictability is in some cases limited despite significant computationa
Data-driven hybrid hydrological models: revisiting the role of river basins as information providers for a better assessment of risks and water resources – DRHYM
Hydrological models which represent the catchment behaviour in transforming climate inputs into streamflow and other hydrological variables are still of limited efficiency, in spite of long terms efforts to improve their skills. As an example, the development of GR hydrological models started in the
Data-driven sOLar Massive deployment in European Nations – DOLMEN
The DOLMEN project aims to accelerate the energy transition through the development of a scalable, data-driven approach for the deployment of rooftop photovoltaic (RPV) systems at large scale. Rooftop PV systems significantly contribute to reducing greenhouse gas emissions, but effective deployment
Deciphering continuous MOLecular MOVements of BIOmacromolecular complexes by new cryo-Electron Microscopy image analysis methods – EMBioMolMov
Cryo-electron microscopy (cryo-EM) is under constant development for a routine determination of biomolecular structures (conformations) at high resolution. This project is focused on the development of approaches for identifying continuous conformational transitions from cryo-EM images through high-
Decision making under uncertainty based on data: awareness, learning and interpersonal consistency – DATA-AWARE
The standard model of decision making under uncertainty relies on an exogenously given, objective, and observable state-space, which is common to all agents. Fundamental economic concepts such as no-arbitrage and dominance are based on the assumption that the state-space is common knowledge. Data ar
