Discrete Random Structures

This workshop brings together experts in combinatorics, probability theory, statistics, information theory, and computational topology sharing a common interest: graphs. Key forms of discrete-valued data, graphs extend to flexible and complex generalisations, such as hypergraphs and simplicial complexes. Their study requires a multidisciplinary arsenal of tools from the aforementioned disciplines. This rich area of research encompasses multiple topics, such as matrix inference, random graphs, graph limits, graphon games and topological data analysis, to mention a few. Our aim is to strengthen the graphs-related scientific community by promoting the creation of bridges between the different perspectives on the topic that each area of expertise brings.