Hypergraph Literacy

What if you could model complex connections in your research beyond simple pairwise links? Imagine a geneticist studying multiple genes, environmental factors and lifestyle choices that together influence disease risk. Traditional graphs represent deliberately isolated relationships, such as between genetic and lifestyle factors that affect health. A hypergraph in turn allows for synoptic open texture operationalisation, comprising entire networks of genetic, environmental, and lifestyle interactions in one integrated modeling space.

This podium introduces hypergraphs as powerful tools for researchers working with data in cognitive science, computer science, literature studies, digital humanities, law, and philosophy.
Because hypergraphs facilitate linking multiple elements simultaneously, they are ideal for modelling complexities that aim to reflect the intricacies of real-world data and representations thereof, i.e. decision architectures crystallised in scientific literature. With new tools such as Obsidian and Logseq, scientists can now use hypergraphs to organise, explore and visualise nested, multifaceted networks of dependencies.

Your gain
Conceptual Foundations: Understand how hypergraphs expand traditional knowledge structures to represent complex, multi-node relationships.
Practical Tools: Discover software and techniques to implement hypergraph models in your research.
Case Studies: Learn from researchers using hypergraphs to unlock insights, enabling a richer understanding of complex data and functionalisations.

Abstractly put, the podium invites participants to make explicit how they go about conceptually determining relationships and (meta)data of vertices—from their discipline’s angle. Three early adopters, discuss and showcase innovative ‘integrated thinking environments‘ and bring to the fore insights and findings, models and methods, practices and hacks.


Humboldt-Universität zu Berlin
Date: Friday, 13 December 2024
Time: 15:45-18:30 Uhr
Venue: Dorotheenstraße 65, 10117 Berlin
Room: 4. Stock, Raum 4.58
Online: Zoom ID: 682 3330 1074 | Code: 23127413


Schedule
15:45 - 16:00 Welcome

16:00 - 16:20 Luz Christopher Seiberth (Universität Potsdam) — Hypergraph Theory
16:20 - 16:45 Discussion

16:45 - 17:05 Jan Ole Bangen (Universität Bergen) — On the Human- and Machine-Readability of Knowledge Graphs
17:05 - 17:30 Discussion

17:30 - 17:50 Melcher Abramowski (Universität Potsdam) — Mapping the Law
17:50 - 18:15 Discussion

18:15 - 21:00 Freundschaft (dinner & drinks) — Mittelstraße 1, 10117 Berlin

Organised by Dr. Monika Raič (Romanistik, HU Berlin) & Associate Professor Luz Christopher Seiberth (Theoretical Philosophy, University of Potsdam)