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The Hybride research project aims at developing new methods and tools for supporting knowledge discovery from textual data by combining methods from Natural Language Processing (NLP) and Knowledge Discovery in Databases (KDD). A key idea is to design an interacting and convergent process where NLP methods are used for guiding text mining and KDD methods are used for analysing textual documents.
en plus important en économie, en finance et en sciences de gestion, mais aussi en sociologie. La question [...] diplômés hautement qualifiés en statistique et en sciences sociales d’une part, et des programmes de mas
de pointe en sciences des données en lien avec d'autres disciplines, comme les sciences humaines et sociales [...] collaboration interdisciplinaire des établissements en science des données et IA, et leurs impacts sociétaux.
society, it has the official support of the Café des sciences and the Direction Interministérielle de la Tr
The objective of preserving or restoring the good status of waterbodies, required by the European Water Framework Directive (2000), underlines the necessity to have operational tools to help in the interpretation of the complex information concerning running waters and their functioning. In this perspective, the FRESQUEAU project aims at developing new methods for studying, comparing and exploiting all the parameters available concerning the status of running waters
applications in science and agriculture. We will adopt an interdisciplinary semantic data science approach that [...] international) research consortium of three computer science labs (UM-LIRMM, CNRS-I3S, STANFORD-BMIR), four [...] language processing to bioinformatics, agronomy, food science, ecosystems, biodiversity and agriculture.
world. Examples range from environmental and earth sciences (such as seismology, volcanology, oceanography [...] that address fundamental challenges in modern science, industry, and society.
The polymer industry is typically facing these new challenges for the production of new materials with new functional and integrated properties in different domains of applications. Nowadays, although
failure, offer novel perspectives in material science: a deeper understanding of the mechanical behavior
supercomputers with high technical constraints. The Science Data Processor (SDP) pipeline in charge of producing [...] consortium gathering complementary skills in computer science, signal processing, and astronomy with twelve permanent