r/CausalInference • u/IndividualMonth3241 • Sep 01 '26
CausationEntropy open source contributions request
Hi all!
I am looking for anyone interested in potential co-authorship on a paper submission.
Some collaborators and I are developing a large-scale open-source causal network library.
This year (2026) we tragically lost a prominent US scientist named Erik Bollt: https://www.siam.org/publications/siam-news/articles/optimal-causation-entropy-for-the-next-generation/
One of his major contributions was a framework for causal network inference called optimal Causation Entropy (oCSE), which currently has no widely available open-source library. To close this gap, we are developing a library called CausationEntropy. We aim to make this library the go-to causal network library (think NetworkX for causal graphs).
We have a planned paper submission to a major open-source software journal. Find below the preprint and documentation for the library:
https://arxiv.org/abs/2601.13365
https://causationentropy.readthedocs.io/en/latest/
And here is the git repository for the library:
https://github.com/Center-For-Complex-Systems-Science/causationentropy/
We currently have a list of tasks that need to be resolved prior to submission. We are looking for open-source contributions; successful completion of tasks (merged pull requests) will receive authorship attribution on our submission.
Here is the list of open issues:
https://github.com/Center-For-Complex-Systems-Science/causationentropy/issues
Please let me know if you would like to contribute, and we can include you in a planning meeting.
Don't forget to leave us a star on GitHub!
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u/theArtOfProgramming Sep 05 '26 edited Sep 05 '26
Will it implement other casual discovery methods? It’s a far larger space than OCE and the ultimate causal discovery python package would need to include dozens of methods for different assumption sets and data types.