This event will bring young researchers to meet together, working on applications of graph theory and its more recent generalizations to disparate disciplinary fields, such as neuroscience, ecology, geography, socioeconomy, astrophysics or pure discrete mathematics. The aim is to identify methodological convergences and to learn to speak a common language, a task which is reasonable, needed and promising but that is often made difficult by large thematic differences hiding the deep similarity between research questions.

Novelty

The unique original aspect of this event is that, besides more traditional intensive and practical course on the latest developments of applied network analyses (temporal and multiplex networks, homological and hypergraph techniques…), students will be involved in group works where the will exchange their respective datasets and analyze them mutually using their own techniques. Through this “data/method swapping” concept we intend to favor the emergence of a conscious appreciation of approach similarities, and to do so through the incubation of actual transdisciplinary research projects, proposed “bottom–up” by the students with the help of their senior supervisors.

Impact local et international

The iConn network is an international training network involving researchers from different northern, central and southern European countries. These researchers will be summoned to Marseille to discover the richness of scientific activities at Aix–Marseille University and the beauty of the surroundings. Through the meeting, brainstormings will be initiated that will lead to novel international cooperation and, potentially, to new research funding. All generated datasets and transdisciplinary applications will be published on an open website, which aims at a great pedagogic impact, both for local and international master and early PhD students.