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Data, Models, Information, Decisions


The raison d'être of the DMID department is to link complex phenomena and systems, the data derived from them, and decision making, using model-driven and data-driven approaches.

To be more precise, the department's researchers will first of all study these natural phenomena, dynamic systems, or sociotechnical systems, all of which generate data. A little more concretely, one can imagine behind these terms the study of the seabed, the functioning of robots, large industrial systems, human behavior, etc....

DMID's researchers use mathematical and statisticalmodels to represent and model these phenomena, and what is interesting is that these models themselves become scientific objects, whose properties can be studied.

Then, from the data generated from these phenomena and systems, or models, information is extracted using data mining or machine learning algorithms.

This information can in itself represent an answer to the problem posed, or it can serve as an entry point for a decision-maker to make informed or optimal decisions. To guide the decision-maker, we will use operational research or decision aiding techniques. 

These decisions can then again influence the underlying phenomena, closing this loop. 

Orientations scientifiques 1


Decision Aid and Information Discovery

49 Researchers

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Models and AlgoriThms for pRocessIng and eXtracting information

21 Researchers

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Les dernieres infos

Workshop on cyber-protection and cyber-defense in 5G/6G networks

P4S   DECIDE   MATRIX   2AI   SI3   IRIS   Math & Net  

The Lab-STICC laboratory organizes the “1st International Workshop on “Cyber-protection and cyber-defense in 5G/6G networks”. This workshop will be held in conjunction with the 25th Conference on Innovation in Clouds, Internet and Networks (ICIN 2022…

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