The MADNESS project supports the ERDF/ESF-YEI Operational Programme 2014-2020 in the Region Haute-Normandie:Axe: Promoting Upper Normandy’s competitiveness by promoting research, innovation and digital economy Pierre Levy in his book collective intelligence: for an anthropology of cyberspace published in 1994 announces a change in modes of communication and access to knowledge. It describes a cyberspace for work, communication and thinking for human organisations. It offers us an anthropoliogic perspective with collective intelligence as its engine. After basing our relationships and interactions on spatialisation, cyberspace frees us from this constraint and virtualises distances. Communication objects, possibly autonomous and mobile, diffuse, ubiquitous and pervasive informatics participate and allow us to consider smart cities or even more broadly a “smart territory” integrating the city, the natural environment but also the production sector. Real or virtual networks underlie these objects connecting information and instrumentation systems, sensor and information networks, and storage spaces. The XTERM axis of the GRR LMN contributes to the reflection in the territory in particular on the aspects of mobility and this MADNESS project of the GRR TERA-MRT complements it by questioning the measurement, acquisition and processing for the purpose of reliability and control of whatever processes.The multiplication of data accessible through information and instrumentation systems, sensor and information networks and storage spaces allows a better understanding of complex systems, as well as a more detailed analysis of their functioning and malfunctions. In particular, by assessing and reducing operational risks, these data masses are useful for improving the security of systems, of the operators that drive them and of the popu- tions that coexist with them. In the context of big data, these treatments have become a real scientific lock and constitute the main challenge of the project structuring the GRR TERA-MRT that we propose “Moding and 1nalysis of data for the Safety of Complex Systems (MADNESS)”The project is the result of close collaboration between various laboratories in Haute-Normandie: —GREAH, Université du Havre — IRSEEM, ESIGELEC, Université de Rouen -LITIS, Université du Havre, Université de Rouen, INSA de Rouen -LMAH Université du HAVRE -LOFIMS, INSA de Rouen — LSPC, INSA de Rouen, Université de Rouen -IDEESUniversité de Rouen, Université du Havre, Université de Caen — CETAPS, Université de Rouen — CORIA, Université de Rouen — LOMC, Université du Havre