CLINICAL SOLUTIONS MANAGER DSO - France H / F

In South-West of France, between Biarritz and Bordeaux, living well and ageing well in the territory represents a challenge recognized by the Landes departmental council, the MACS community of communes, and the Syndicat Mixte de St Geours de Maremne, responsible for the development and management of the Atlantisud development park. It is estimated that by 2030, there will be 30,000 dependent Landais men and women, compared with 17,000 in 2020. With this in mind, our project aims to help improve the quality of life through digitalization in the field of living well and ageing well in the Landes region. The living environment can range from businesses for working people to housing, mobility, services, leisure activities, and more. The main idea is to make multi-source, massive, and heterogeneous data from partners interact to analyze them and highlight shortcomings and recommendations for better living in the region. These partners include, for example, the Département des Landes for habitat, mobility, and travel data, or the social landlord XL Habitat, Hubics for building data, all complemented by Open Data. The data will be ingested, stored, and analyzed in an eco-responsible Data Lake currently being set up. The main challenges lie in (i) modeling semantic trajectories of living well and ageing well for data collection and integration, (ii) defining corresponding indicators for data analysis, and (iii) designing visuals adapted to presenting analysis results to a non-specialist audience.

PhD Objective

The aim of this Computer Science PhD thesis is to propose data analysis and visualization tools to help local decision-makers understand the evolution of the territory. Based on the massive and heterogeneous data collected, the aim is to draw semantic trajectories representing citizens' activities (travel, access to tourist and health areas, housing, shopping, etc.), including changes over time, with forecasts for the future.

Literature References

• Maxime Masson, Philippe Roose, Christian Sallaberry, Rodrigo Agerri, Marie-Noëlle Bessagnet, Annig Le Parc-Lacayrelle: APs: A Proxemic Framework for Social Media Interactions Modeling and Analysis.
• Matthieu Viry, Marlène Villanova-Oliver: Geovisualisation Generation from Semantic Models: A State of the Art.