November 12th, 2024, Montevideo, Uruguay

The CaDis Workshop will be held at the IBERAMIA’2024 conference

The objective of this workshop is to present recent advances in causal discovery, including different approaches that consider observational and/or interventional data, and also building models with the help of human experts. It is also of interest the combination of causal discovery with other areas of machine learning, such as reinforcement learning and deep learning; as well as real-world applications.

We invite contributions relevant to any aspect of causal discovery, including theoretical and practical aspects, and applications.

The submissions can be in any of the following topics, but not limited to:
    •    Causal discovery from observational data
    •    Causal discovery from interventions
    •    Hybrid causal discovery
    •    Building causal models from human expert knowledge
    •    Causal discovery from time series
    •    Reinforcement learning and causal discovery
    •    Deep learning and causal discovery
    •    Benchmarks for causal discovery
    •    Applications to real-world problems

Important dates:
    •    Paper submission deadline: September 15
    •    Reviews release: October 15
    •    Final papers submission: October 31
    •    Conference date: November 12

Authors of the best papers will be invited to submit extended versions to “Causal Graphical Models and Their Applications”, A special issue of «Entropy» (

For more information and submissions: