The research on modelling carried out within this axis is situated at the interface of quantitative geography, geomatics, statistics, of complex scientific systems and computer science. Three main orientations can be identified.
In continuation of the work long pursued within the PARIS team, a first research set concerns the further formalization of models. In the case of theoretical models, one of the challenges is to design models that reflect and reveal the dynamic and multiscale structures of the phenomena studied as well as the interactions between agents, structures, and processes. In the case of empirical models, an important challenge is to integrate and combine the complex structures of different databases. For both theoretical and empirical models, it is also important to discuss the historical contexts of development and use of the models.
A second orientation of this theme concerns the articulation of models and their complementarity insofar as each model sheds light on only one aspect of the phenomenon of interest. Examples include: the articulation of models centred on microscopic and macroscopic scales; the intersection of spatial (continuous) and territorial (discrete) approaches; the coupling of statistical models and multi-agent simulation models; the confrontation of models built on traditional data with those built (or to be built) on new and often massive data; the comparison of models developed in different fields of the social sciences.
Finally, the third orientation concerns the use that can be made of modelling and geovisualization tools to open and disseminate research avenues, to acquire new data, to encourage the involvement of a group of individuals in decision-making (participatory modelling), or to integrate decision-making processes.
For each of these orientations, the research conducted within this thematic axis concerns a broad spectrum of phenomena whose spatial structuring is examined: settlement systems, population mobility, material and immaterial flows, health inequalities, school space, conflicts, risks and vulnerability, etc.
Musical landscapes: a “mapping” of distances between musical genres based on the declared genres of the Deezer music catalogue. ANR RECORDS, 2020.