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Jakob Runge

@jakobrunge.bsky.social
352 followers 3 following 51 posts

Professor of AI in the Sciences at University of Potsdam // causalinferencelab.com

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Jakob Runge @jakobrunge.bsky.social · 30/09/2026
Marina Höhne and I are hiring a postdoc in XAI × causal inference at Uni Potsdam (CRC 1294)! Strong ML background, experience in XAI or causality, curious about the other. Time series a plus. Full-time E13 TV-L, funded until 6/2029, no teaching. DM us & please share! #XAI #CausalInference
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Jakob Runge @jakobrunge.bsky.social · 07/05/2026
We’re looking for a managing director for the AI.UP center at the University of Potsdam. AI.UP develops and consults on AI across disciplines and supports interdisciplinary collaboration and grant initiatives. *Permanent position* Deadline: June 28, 2026 Details: causalinferencelab.com/jobs
causalinferencelab.com
Jobs
Current open positions appear here. Managing Director – AI.UP The AI Competence Center (AI.UP) at the University of Potsdam invites applications for a permanent position as a managing director (f/m…
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Jakob Runge @jakobrunge.bsky.social · 27/02/2026
We’re hiring 2 AI Research Consultants (Junior/Senior) at the University of Potsdam (AI.UP). TV-L E13 (100%), 4 years. Focus: interdisciplinary AI consulting and independent research. Deadline: March 22, 2026 Details: causalinferencelab.com/jobs
causalinferencelab.com
Jobs
Current open positions appear here. Junior / Senior AI Research Consultant (2 Positions) – AI.UP The AI Competence Center (AI.UP) at the University of Potsdam invites applications for two AI Resear…
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Jakob Runge @jakobrunge.bsky.social · 27/02/2026
Hiring! Postdoc in Causal Inference & Explainable AI at University of Potsdam (CRC 1294 “Data Assimilation”). TV-L E13 (100%), until 06/2029. Start summer 2026. Deadline: March 22, 2026. Apply (ID 308/2026): lisa.goesel@uni-potsdam.de Details: causalinferencelab.com/jobs
causalinferencelab.com
Jobs
Current open positions appear here. Junior / Senior AI Research Consultant (2 Positions) – AI.UP The AI Competence Center (AI.UP) at the University of Potsdam invites applications for two AI Resear…
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Jakob Runge @jakobrunge.bsky.social · 04/11/2025
Here's a recent intro talk on the Tigramite python package for causal inference on time series data (also works on non-time series): www.youtube.com/watch?v=DZbL... Github: github.com/jakobrunge/t... Part of the great Online Causal Inference Seminar series: sites.google.com/view/ocis/home
youtube.com
Jakob Runge: Causal Inference on Time Series Data with the Tigramite Package
YouTube video by Online Causal Inference Seminar
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Jakob Runge @jakobrunge.bsky.social · 02/10/2025
Save the date! 🌍 Climate Informatics will convene researchers at the intersection of weather & climate science, statistics, and machine learning, April 27-30, 2026 on our beautiful UNIL/EPFL campus by Lake Geneva in Lausanne, Switzerland. More info: climateinformatics.org
climateinformatics.org
Climate Informatics
An open community at the intersection of climate science and data science.
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Reposted by Jakob Runge
riccardo @rmassidda.it · 02/04/2025
🎉 The first edition of the "Causal Abstractions and Representations" workshop is here! 🇧🇷 Proudly hosted by @auai.org, we'll be in Rio de Janeiro on July 25, 2025. 🔨 Check out our invited speakers and the call for papers: we can't wait to see your submissions! 🌐 sites.google.com/view/car-25/
sites.google.com
CAR
Causal Abstractions and Representations Workshop @ UAI 2025 July 25th 2025, Rio de Janeiro 🇧🇷
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Jakob Runge @jakobrunge.bsky.social · 17/12/2024
Got multivariate X and/or Y and want to test conditional independence X _|_ Y | Z ? PairwiseMultCI is a wrapper that turns any univariate CI test into a multivariate one... it can also help increase power! Tigramite tutorial github.com/jakobrunge/t... UAI Paper proceedings.mlr.press/v216/hochspr...
github.com
tigramite/tutorials/causal_discovery/tigramite_tutorial_pairwise_mult_ci.ipynb at master · jakobrunge/tigramite
Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at - jakobrunge/tigramite
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Jakob Runge @jakobrunge.bsky.social · 29/11/2024
Causal discovery loves conditional independence tests -- here's our CI test of the month: ParCorrWLS can deal with heteroskedastic data! Tigramite tutorial: github.com/jakobrunge/t... NeurIPS paper: proceedings.neurips.cc/paper_files/...
github.com
tigramite/tutorials/causal_discovery/tigramite_tutorial_heteroskedastic_ParCorrWLS.ipynb at master · jakobrunge/tigramite
Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at - jakobrunge/tigramite
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Jakob Runge @jakobrunge.bsky.social · 21/11/2024
Hello BlueSky! This is the start of my new timeline, gradually moving away from X/Twitter. Thanks for following! I will share new work here and look forward to exchanging ideas on causal inference for time series data with you!
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Jakob Runge @jakobrunge.bsky.social · 25/06/2024
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 @ELLISforEurope @ERC_Research @KDebeire
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Jakob Runge @jakobrunge.bsky.social · 10/05/2024
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/home #CI4TS #UAI2024
sites.google.com
Causal inference for time series
About the workshop
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Jakob Runge @jakobrunge.bsky.social · 15/01/2024
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/gunther2…
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Jakob Runge @jakobrunge.bsky.social · 08/01/2024
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: www.jmlr.org/papers/v24/22-0151.html. For this and many more benchmarks visit causeme.net!
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Jakob Runge @jakobrunge.bsky.social · 27/06/2023
A view-only version can be found here: rdcu.be/dfs5X
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Jakob Runge @jakobrunge.bsky.social · 27/06/2023
1/3 Just published @NatRevEarthEnv tinyurl.com/3zb8cu7s. A guide to #causalinference for time series: Phrase your problem as a causal Question, transparently state Assumptions, and apply the right method on your Data with the QAD-template based on @yudapearl's causal hierarchy
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Jakob Runge @jakobrunge.bsky.social · 16/06/2023
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-data-science
medium.com
Causality in Data Science – Medium
In this blog researchers and practitioners from the causal inference research group at the german aerospace center publish easy to read blog articles that should give an introduction to the topics of causal inference in machine learning.
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Jakob Runge @jakobrunge.bsky.social · 13/06/2023
We are hiring a scientific programmer (German E13 salary) in Jena to support tigramite and other software projects! Interested? More on climateinformaticslab.com/jobs
climateinformaticslab.com
Jobs
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Jakob Runge @jakobrunge.bsky.social · 01/06/2023
To all (too)late-submitters: We extended the paper deadline by a few days, it is now June 03 11:59AM UTC-0 !
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Jakob Runge @jakobrunge.bsky.social · 29/05/2023
Few days left to submit to our UAI workshop on causal inference for time series data!
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Jakob Runge @jakobrunge.bsky.social · 27/04/2023
Happy to announce a workshop on causal inference for time series data at @UncertaintyInAI in August this year, together with @saramagliacane @ckassaad @JonasChoice and others! Including a Call4Papers 👉 sites.google.com/view/ci4ts2023
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Jakob Runge @jakobrunge.bsky.social · 19/04/2023
Great to be attending @Climformatics in lovely Cambridge! Congratulations to the organisers for setting it up so well! twitter.com/Climformatics/status/16…
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Jakob Runge @jakobrunge.bsky.social · 09/10/2022
Join the Causal Inference Lab! Open #postdoc position on developing #causality methods for a range of application domains! --> climateinformaticslab.com @DLRdatascience @ELLISforEurope @ERC_Research
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Jakob Runge @jakobrunge.bsky.social · 28/09/2022
1/2: We just published a paper in @EnvDataScience where we present the SAVAR model, a spatiotemporal toy model for benchmarking causal inference methods. Congratulations to Xavi Tibau! And now time to test your causal methods! bit.ly/3LQA7zh
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Jakob Runge @jakobrunge.bsky.social · 04/03/2022
**Join the Causal Inference and Climate Informatics Lab!** We are expanding with 4 open #postdoc positions (#phd also possible) on developing #causality theory and methods for #EarthSciences and beyond! 👉 climateinformaticslab.com @DLRdatascience @ELLISforEurope @ERC_Research
climateinformaticslab.com
News
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Jakob Runge @jakobrunge.bsky.social · 26/07/2021
What are the causes behind recent extreme floods? Coming from math/stats/physics/ML and want to develop #Causality and #AI theory and methods to better understand extremes? --> Open positions with @ZscheischlerJak and further collaborators: climateinformaticslab.com @Compound_Event
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Jakob Runge @jakobrunge.bsky.social · 18/03/2021
Got a background in math/stats/physics/ML and want to work on #Causality and #AI inspired by challenges in #EarthSciences and #ClimateChange? --> Well-funded #Postdoc/#PhD posts at @TUBerlin and @DLR_en Jena! --> climateinformaticslab.com @ELLISforEurope @ERC_Research
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Jakob Runge @jakobrunge.bsky.social · 05/01/2021
The ClimateInformaticsLab starts a new branch at @TUBerlin as part of my ERC Starting Grant #CausalEarth. We have two upcoming #Postdoc/#PhD positions in #Berlin on #Causality and #AI for #Earth sciences. More info: climateinformaticslab.com @ELLISforEurope @ERC_Research @EU_H2020
climateinformaticslab.com
News
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Jakob Runge @jakobrunge.bsky.social · 16/09/2020
Keep an eye on upcoming exciting PhD and postdoc opportunities within the ELLIS network that fosters AI in Europe. Soon I'll also announce some positions in my lab as part of my recent ERC Starting grant: ellis.eu/de/news/ellis-phd-program-…
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Jakob Runge @jakobrunge.bsky.social · 11/07/2020
1/3 Checkout my new UAI paper on time series causal discovery for lagged AND contemporaneous dependencies (PCMCI+): www.auai.org/uai2020/proceedings/57…
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Jakob Runge @jakobrunge.bsky.social · 02/07/2020
Great joint work!!! twitter.com/Marlene_Climate/status/…
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Jakob Runge @jakobrunge.bsky.social · 13/06/2020
Looking for a PhD on developing machine learning / causal inference methods for climate research? Two open positions within @EU_H2020 training programme @iMIRACLI_ITN: t.co/JKgHunBiQ2 and t.co/5fNPQHWQVv
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Jakob Runge @jakobrunge.bsky.social · 03/05/2020
Offering *two* PhD positions in @EU_H2020 training programme @iMIRACLI_ITN: Work with me on developing exciting causal inference methods for climate research. t.co/JKgHunBiQ2 and t.co/5fNPQHWQVv
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Jakob Runge @jakobrunge.bsky.social · 16/03/2020
Just published in Nature Communications, check out our new causal inference approach to compare and evaluate climate models! Based on the causal discovery method in advances.sciencemag.org/content/5/1… . twitter.com/NatureComms/status/1239…
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Jakob Runge @jakobrunge.bsky.social · 11/01/2020
Just published: Climate Informatics 2019 proceedings (t.co/M7gQ6FvONq), and also invited speaker videos (t.co/VYJb4xKZBU). Thanks to all ~170 participants and see you in September (around 23-26) for Climate Informatics 2020 in Oxford!
sites.google.com
CI2019 - Proceedings
Brajard, J., Charantonis, A., Chen, C., & Runge, J. (Eds.). (2019). Proceedings of the 9th International Workshop on Climate Informatics: CI 2019 (No. NCAR/TN-561+PROC). doi:10.5065/y82j-f154
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Jakob Runge @jakobrunge.bsky.social · 17/12/2019
I'm part of the @EU_H2020 project @iMIRACLI_ITN that offers *15 PhD studentships*. Work with me on developing new causal inference methods for climate research or on many other exciting topics, apply here: www.imiracli.eu twitter.com/PhilipStier/status/1206…
imiracli.eu
Home
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Jakob Runge @jakobrunge.bsky.social · 15/12/2019
twitter.com/runge_jakob/status/1206… twitter.com/sweichwald/status/12060…
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Jakob Runge @jakobrunge.bsky.social · 15/12/2019
Just presented the results of the Causality 4 Climate competition at #NeurIPS2019, watch the session here: t.co/0z52bfknTz (first hour) Congrats to the three winners Copenhagen Causality Lab, Mapefast, and Rookie! Many more benchmarks are on t.co/GcPK82DS0I !
slideslive.com
Causality for Climate (C4C)
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Jakob Runge @jakobrunge.bsky.social · 06/12/2019
Here's a Perspective/Review paper for everyone interested in causal inference for Earth system sciences: nature.com/articles/s41467-019-1010… (I know, it's already 6 months old, but hey, I just joined Twitter :-)
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Jakob Runge @jakobrunge.bsky.social · 06/12/2019
Actually the skull picture is a nice example of confounding: It's from the Science Advances cover, not our paper;) Find code for our methods here: github.com/jakobrunge/tigramite twitter.com/yudapearl/status/120129…
github.com
GitHub - jakobrunge/tigramite: Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at
Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at - jakobrunge/tigramite
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