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Happy to announce a workshop on causal inference for time series data at UAI 2025 in August this year, together with Sara Magliacane (she/her) - hiring 2 PhD students Charles Assaad @JonasChoice and others! Including a Call4Papers 👉 sites.google.com/view/ci4ts2023

Few days left to submit to our UAI workshop on causal inference for time series data!

To all (too)late-submitters: We extended the paper deadline by a few days, it is now June 03 11:59AM UTC-0 !

We are hiring a scientific programmer (German E13 salary) in Jena to support tigramite and other software projects! Interested? More on climateinformaticslab.com/jobs/

Looking for a gentle introduction to #causalinference and relations to #MachineLearning learning? Kenneth Styppa heads a blog series of our group at medium.com/causality-in-d…

We are delighted to invite submissions to our #NeurIPS2023 workshop "Tackling Climate Change with Machine Learning". Important dates: ▶️Tutorial proposal submissions: Aug 8 ▶️Mentorship program: Aug 25 ▶️Paper & Proposal submissions: Sep 29 Learn more: climatechange.ai/events/neurips…

Jakob Runge opening the workshop on Causal inference for time series data UAI 2025 For more details about the schedule 👉🏻 sites.google.com/view/ci4ts2023…

Ricardo Vinuesa @laurezanna Georg Martius Emili Balaguer-Ballester Jakob Runge

The ML community has been calling for a large scale climate dataset. In our recent Neurips 2023 publication, we introduce ClimateSet: A ➡️ large-scale ➡️ consistent ➡️ ML-accessible climate model dataset 🌍. 1/8 arxiv.org/abs/2311.03721 climateset.github.io

How do you choose you pet friend in the zoo of causal inference methods? Our recent JMLR paper provides a comprehensive benchmark comparison for the bivariate cause-effect challenge: jmlr.org/papers/v24/22-…. For this and many more benchmarks visit causeme.net!

Got causal questions and multiple datasets collected for different contexts/conditions/subjects/locations? Try J-PCMCI+, a causal discovery method for multiple time-series datasets, able to handle both observed and latent context-confounding! proceedings.mlr.press/v216/gunther23…

Contribute to the 2nd workshop on causal inference for time series at UAI, this year on July 19 in Barcelona! Deadline for submissions is May 19, less than 10 days to go! Looking forward to another successful event! Details: sites.google.com/view/ci4ts2024… #CI4TS #UAI2024

Bagged-PCMCI+ is out! A bootstrap approach to enhance precision+recall and confidence quantification for causal links. Check out our CLeaR paper: rb.gy/6t5gba and tigramite tutorial: rb.gy/db9ro1 #CLeaR2024 ELLIS European Research Council (ERC) Kevin Debeire

New study by Lucile Ricard, Fabrizio Falasca, Jakob Runge, Athanasios Nenes presents a network-based constraint of #climate sensitivity that can be used to evaluate and weight #CMIP6 #ClimateModels. FORCeS nature.com/articles/s4146…

From correlation to causation, from X to Bluesky: Follow me and many others to (and on) Bluesky! bsky.app/profile/jakobr…