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Data, Models, Information, Decisions

DMID

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
 

 

Teams
DECIDE
Decision Aid and Information Discovery

43 Researchers

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MATRIX
Models and AlgoriThms for pRocessIng and eXtracting information

17 Researchers

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Agenda
Les dates à retenir
Jun 21, 2021

Combinatorial optimization and interpretable machine learning

DECIDE  

The DAAO (Data, Machine Learning, and Optimization) group of the GDR RO is pleased to announce the o…

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