For a professional experience in vaccinology, LIVE students carry out their 6-month end-of-study internship at hosting institutions usually from the LIVE partnership. Each student is trained and receive advices from two Supervisors: the Internship Supervisor from the hosting institution and the Academic Supervisor for a joint supervision by the five universities organizing the LIVE (UAB, UB, UA, UJM or UCBL). The S4 is composed of the Master thesis teaching unit and the Languages for vaccine future in the Anthropocene.
Students participate in cross-disciplinary online courses and forum built and animated by a collective of teacher-researchers from various disciplines united by their concern and their need for action in the face of the challenges of climate change and the collapse of biodiversity. The aims is to train students in different aspects that make climate change and the extinction of the living world a global issue. They will cover different themes by focusing on their scientific aspects, and in next years, on the social and economic aspects for a future in collaboration with other Lyon universities of the ARQUS European university involving the universities of Granada, Graz, Leipzig, Maynooth, Mino, Padua, Vilnius and Wroclaw.
The S4 language course aims to improve students’ proficiency level, taking into account their previous knowledge of the language in English, French, Spanish, German or Italian. Students will be placed in the adequate course, according to the level they reached after the first three semesters in Barcelona, Antwerp and Lyon/Saint Etienne. The principal learning outcome of this teaching unit is to improve language skills.
Students develop their ability to grasp the context of vaccine-preventable disease to make decision for communication and public health. They will discover Infodemiology, which refers to the spread of (mis)information during epidemics or pandemics. They will investigate infoveillance, which refers to public health-related concerns to analyse the online behaviour by collecting, analysing, and visualizing data from various internet sources in real time, during epidemics or pandemincs. The objective is to become able to provide recommendations to public in a health crisis or in times of « peace ».