Collab-Net as a DSS for the Identification of Potential Partners and the Creation of Research Consortia

Isabelle Linden (1) , Jean Gomes Turet (2) , Ana-Paula Cabral Seixtas Cabral (2) , Fatima Dargam (3) , Pascale Zaraté (4, 5)

1 UNamur - Université de Namur [Namur]
2 UFPE - Universidade Federal de Pernambuco [Recife]
3 SimTech Simulation Technology (AUSTRIA)
4 UT Capitole - Université Toulouse Capitole
5 IRIT-ADRIA - Argumentation, Décision, Raisonnement, Incertitude et Apprentissage

Few demanding research issues can be addressed by a single researcher. Many advanced topics require huge sets of competences and transdisciplinary approach. Finding the right partners for a research project has always been a challenging task. Nowadays, competition for excellence and scarcity of funding make the search for adequate partners a critical element from the very beginning of a project definition, as the project consortium has to show the balanced qualification and experience needed to run the project in a fit-for-purpose and cooperative way among all partners. The present paper presents the ongoing development of a decision support system to support project leaders in identifying potential partners within the registered EWG-DSS members. Built on top of the long-term Collab-Net research project, the proposition is presented here under the form of three scenarios that are typical examples of how the new features are used and involved in use cases.

Mots clés: DSS; EWG-DSS; Research Projects; Consortium; Partners-Search; Collab-Net

Domaines: Informatique [cs]; Intelligence artificielle [cs.AI]; Recherche opérationnelle [math.OC]

Isabelle Linden, Jean Gomes Turet, Ana-Paula Cabral Seixtas Cabral, Fatima Dargam, Pascale Zaraté. Collab-Net as a DSS for the Identification of Potential Partners and the Creation of Research Consortia. ICDSST 2020, University of Zaragoza, Spain, May 2020, Zaragoza, Spain. pp.67-73. ⟨hal-02866458⟩