Abstract: The aim of this project is to design a model which can represent the dynamics of spreading of the dengue fever in indirect correlation with the climate and considering healthcare policies and the economic mobility of different countries. The final result of the model is to show for the concerned countries that the limitation of spreading is possible thanks to policies, but also the combination, communication, synchronisation of members of a policy is at least as crucial as policy itself. The final model of the project is made of sub-models : an epidemiological theoretic model to study the dynamic of the disease, a mobility model to study the economic mobility of countries and a coupling model adding control policies.

Abstract: The objective of this project is to obtain a flexible and real-time monitoring network, which could supplement possibly existing (fixed) networks, and could then feed a decision-support system (through models and simulations of evolution scenarios) or support an advanced visualization of the phenomenon to monitor. The main idea is to study in a real context the feasibility of a smartphone-based monitoring network, where the devices are not only used as passive sensors but can also be actively used by their owners to transmit visual, voice and textual pieces of information to the monitoring system, in order to enable stakeholders to analyze and forecast information.

SWARMS (Say and Watch: Automated image/sound Recognition for Mobile monitoring Systems) project is one of the two main projects of our ICTLab. The project is planned to start its implementation from January, 2016. The kickoff meeting happened in 18/12/2015 was an important event of the project.