The LAMSADE is an historical centre (established in 1974) as a joint laboratory of Université Paris Dauphine and the CNRS. The original research subjects were Operational Research and Decision Aiding to which have been added in the subsequent years further subjects such as Decision oriented Computer Science, Decision Theory and Artificial Intelligence. Today the LAMSADE conducts research around the design, the use and the validation of Decision Aiding formal models. Our research starts at the very beginning of a decision process (what is a decision problem?), continues with the problems of extracting, learning and modelling of data, values, preferences, with the design of systems (which could be endowed with a certain autonomy or intelligence), takes care of the hard algorithmic challenges such problems present and ends with validating and inserting decision recommendations within real organisational contexts. The LAMSADE is known for having created an original approach in Multiple Criteria Decision Analysis, for a unique approach in algorithmics and optimisation and for being at the origin of the Algorithmic Decision Theory field, areas where we are proud to be among the international leaders. The research conducted within LAMSADE applies to many and various areas going from transportation problems to scheduling, from assessing calls for tenders or the comfort in train carriages to the assessment of social acceptability of new technologies, from telecommunication networks to geographical information systems.
The research activities of the laboratory are structured around three research areas ("poles"):
Pôle 1 : Decision Aiding
Pôle 2 : Combinatorial optimisation, algorithmics
Pôle 3 : Data Sciences