SDCS:
Software and Data for Complex Systems
SDCS:
Software and Data for Complex Systems
Satellite workshop in conjunction with
Conference on Complex Systems 2024
Speakers
Invited speakers
Ingo Scholtes (Universität Würzburg)
PathpyG: GPU-accelerated Causality-aware Learning in Temporal Graphs
Maxime Lucas ( University of Namur, UC Louvain)
Talk title coming soon
Ben Steer (Pometry)
Raphtory: the temporal analytics graph engine in Rust and Python
Contributed talks
Miguel A. González-Casado (Universidad Carlos III de Madrid)
A general method to classify networks based on structure
Quintino Francesco Lotito (University of Trento)
Hypergraphx: a library for higher-order network analysis
Amil Mohanan (Northeastern University)
PolyGraphs: A Simulation Framework for Social Epistemology
George G. Vega Yon (The University of Utah)
epiworld(C++ | R | Py): A fast multi-language library for epidemiological agent-based
Important dates
Authors guidelines
Submission:
The submission form is available at the following link:
Registration
To join the satellite, registration to the CCS2024 main conference is mandatory, either for the full conference or for satellite events only. On site registration will be possible only upon availability.
All attendees and speakers at the satellites need to be registered to the conference.
Registration link: https://ccs24.cssociety.org/registration/
Organisers
Queen Mary University London
Northeastern University London
University of Milan
University of Milan