Uniting Phylogenetic Network Research

Phylogenetic networks are used to represent the evolutionary history of species, languages, and texts (e.g., the bible). Inferring such information is useful, for example in drug discovery and to study cultural shifts. Methods to produce phylogenetic networks are grounded in mathematics and computer science.
In recent times, we have increasingly observed that each subfield of mathematical phylogenetics is reaching their theoretical limits. As a result, connections between subfields have started to emerge. Nevertheless, these have thus far been reactive and ad-hoc rather than pro-active and structural. To meaningfully advance the field, we require a new phase of cross-pollination between different mathematical areas.
This workshop aims to drive this shift. By bringing together researchers from different subfields of mathematical phylogenetics, including combinatorics, statistics, algebra, algorithms, and machine learning, alongside biologists and stemmatologists, we seek to reinforce ties, establish new connections, and explore well-motivated practical questions.