SDCS:
Software and Data for Complex Systems
3rd of September 2024, London and Exeter - UK
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
In the rapidly evolving landscape of complex systems research, the influx of vast and intricate data poses formidable challenges. From managing large-scale, temporal information to navigating the intricate web of heterogeneous interactions and grappling with higher-order complexities, the need for innovative datasets, software, and libraries has become increasingly evident. In response to this demand, our proposed workshop, "Software and Data for Complex Systems," aims to serve as a pivotal platform for the exploration and dissemination of cutting-edge tools and methodologies.
The workshop will centre on addressing the multifaceted challenges posed by complex systems, with a specific focus on the development and utilisation of datasets, software, and libraries. The overarching goal is to provide a forum for researchers and practitioners to showcase their pioneering solutions, facilitating the analysis, understanding, and testing of theories and models across diverse domains.
We invite contributions on the following topics:
- Software Libraries and Tools: Spotlight impactful libraries, tools, and datasets. By doing so, we aim to foster a dynamic exchange of ideas and innovations that transcend the boundaries of conventional research outcomes.
- Datasets: we encourage the presentation of novel datasets that could be useful in advancing our understanding of complex systems.
- Interactive Demos: Presenters are encouraged to elevate their presentations through live demonstrations. This interactive approach not only enhances the learning experience for participants but also empowers them to explore the functionalities of the showcased tools in real-time.
- Behind-the-Scenes Development Story: Unveiling the intricacies of tool development, presenters will delve into the challenges and successes encountered throughout the process. This includes insights into securing funding, community building, and the crucial transition from research code to practical, usable software. By sharing these stories, the workshop aims to inspire and guide emerging developers in the complex systems domain.
Moreover, our workshop is designed to feature keynote and tutorial sessions from industry leaders who will share their experiences, best practices, and guidance. These sessions will offer attendees unique insights into the real-world applications of software and data solutions, further enriching their understanding and providing a roadmap for success in their own endeavours.
Important dates
Authors guidelines
Abstract papers: papers must not exceed 1 page, following the same guidelines for the main conference.
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
Cheick Tidiane Ba
Queen Mary University London
Naomi Arnold
Northeastern University London
Matteo Zignani
University of Milan
Alessia Galdeman
University of Milan