Graphical Modelling and Causal Inference

Author

MaRDI@TUM

Published

July 16, 2025

Welcome

Welcome to the Graphical Modeling and Causal Inference (GMCI) website. Our goal is to provide a place for FAIR (= Findable, Accessible, Interoperable, and Reusable) GMCI research and analyses. For this, we moderate GMCI Zenodo community where curated topical datasets as well as analysis repositories are stored. The GMCI analysis library is hosted on this website. It features exemplary statistical notebooks that showcase advances in methodology and presents new applications.

We encourage and solicit submissions of datasets and notebooks by researchers from the broader academic community.

The Initiative

The Mathematical Research Data Initiative, is a group of German scientists funded by NFDI working on creating and establishing data culture standards and public services to foster mathematical research. This comprises the development of good research practices, providing tools for establishing interconnections of research via unique digital tokens, and creating databases for immediate access to key resources of the mathematical research community. Mathematical objects range from theorems over algorithms to data analyses affected by uncertainty. The research scientists have a background in computer algebra, scientific computing, statistics, and machine learning. Specifically, the MaRDI Portal combines and structures the information of the mathematical landscape in a relational data base. Multiple subprojects organized via task areas assist with interfaces and extend relevant subdomains. More information can be found on the NFDI Website.

Within MaRDI, this website was initiated by a group of statisticians from LMU, TUM, and WIAS. With their background in algebraic statistics and graphical modeling, the research group at TUM is managing the Zenodo community (see below) and has established this website as a supporting tool.

Contact: Feel free to reach out via https://portal.mardi4nfdi.de/wiki/Portal/TA3.

Citation

When using the GMCI Communities’ content, please cite the creators of the original content and our community with the following bib item.

@article{Mareis_Haug_Drton_2025,
title={MaRDI's Zenodo Community for Graphical Modeling and Causal Inference},
volume={2},
journal={Proceedings of the Conference on Research Data Infrastructure},
author={Mareis, Leopold and Haug, Stephan and Drton, Mathias},
year={2025},
month={Sep.}
}

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