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Martin Huber @causalhuber.bsky.social · 13d

Very happy to attend the Young Researcher Workshop of the Universities of Tübingen and #Hohenheim (as an invitee, even if I’m not that young anymore 😉) - lots of great presentations and lively discussions, including on causal machine learning! Many thanks to B. Jung, M. Biewen & the organising team!

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Martin Huber @causalhuber.bsky.social · 26d

Huge thanks to Emma Bacci, Sarina J. Oberhänsli, Jeremy Proz, Andreas Stoller, and Melissa Uhrig for their great work and support in preparing the teaching slides!

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Martin Huber @causalhuber.bsky.social · 29d

📚 In summer 2023, my book Causal Analysis was published with @mitpress.bsky.social. Just two years later😉 I’m very happy to share that the lecture slides are now freely available in both PDF and LaTeX (as zip files), along with the datasets and R/Python code:
👉 www.unifr.ch/appecon/en/r...

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Reposted by Martin Huber

GESIS Training @gesistraining.bsky.social · Sep 3

📣 Last Call!
Don't miss the chance to 🤿 dive into IV and RDD in R with @causalhuber.bsky.social!
Register Now!
➡️ t1p.de/caus-inf-2025

GESIS Training @gesistraining.bsky.social · Jul 2

Struggling to identify causal effects when experiments aren’t feasible? Learn how Instrumental Variables and Regression Discontinuity Designs can help!
Join @causalhuber.bsky.social‬ to dive deep into IV and RDD in R —from core concepts to advanced topics like machine learning: t1p.de/caus-inf-2025

GESIS Workshop
Causal Inference with Instrumental Variables and Regression Discontinuity Designs
09 – 10 October 2025 | Online
Martin Huber (University of Fribourg)

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Martin Huber @causalhuber.bsky.social · Sep 1

🚀 Registration is open for the #Fribourg #WinterSchool in #DataAnalytics & #MachineLearning, Feb 2–13 2026.
📍Hybrid: at Fribourg University or online
🔍Topics: data analytics, predictive/causal machine learning, deep learning
💻 Software: Python, R, Julia, Knime
👉 Sign up: www.unifr.ch/appecon/en/w...

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Martin Huber @causalhuber.bsky.social · Aug 22

Thank you, very happy to hear that you like it!

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Martin Huber @causalhuber.bsky.social · Aug 21

Thanks @p-hunermund.com!

Paul Hünermund @p-hunermund.com · Aug 21

I just ordered a copy of @causalhuber.bsky.social's brand new book, and I'm excited to have a look at it! mitpress.mit.edu/978026255292...

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Martin Huber @causalhuber.bsky.social · Aug 21

😀 Attending the World Congress of the Econometric Society in the stunning city of Seoul, and thrilled to present joint work with N Apfel, J Hatamyar, & J Kueck on machine learning–based testing of conditions sufficient for identifying treatment effects: virtual.oxfordabstracts.com/event/73643/...

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Martin Huber @causalhuber.bsky.social · Aug 19

Excited to share our working paper “Machine Learning for Detecting Collusion and Capacity Withholding in Wholesale Electricity Markets”, joint with Jeremy Proz. We propose a machine learning–based approach for detecting cartels among suppliers in electricity markets:
👉 arxiv.org/abs/2508.09885

Machine Learning for Detecting Collusion and Capacity Withholding in Wholesale Electricity Markets

Collusion and capacity withholding in electricity wholesale markets are important mechanisms of market manipulation. This study applies a refined machine learning-based cartel detection algorithm to t...

arxiv.org

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Martin Huber @causalhuber.bsky.social · Aug 11

Very happy to be teaching a @gesistraining.bsky.social workshop on causal inference with instrumental variables and regression discontinuity designs on October 9–10, 2025. Registration is still open: training.gesis.org?site=pDetail...

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Martin Huber @causalhuber.bsky.social · Aug 7

🎉 Seems like the release of "Impact Evaluation in Firms and Organizations" is off to a great start! Huge thanks to everyone who's been reading, sharing, and supporting my book!
mitpress.mit.edu/978026255292...

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Martin Huber @causalhuber.bsky.social · Aug 5

This moment also brings back memories from 2 years ago, when my 1st book, Causal Analysis, was released. It’s a comprehensive MA/Ph.D.-level textbook on impact evaluation and causal machine learning, with use cases in R (and Python versions available online): mitpress.mit.edu/978026254591...

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Martin Huber @causalhuber.bsky.social · Aug 5

📘 My book Impact Evaluation in Firms and Organizations is officially out today with @mitpress.bsky.social! An accessible, non-technical introduction to impact evaluation (& causal machine learning) designed for practitioners & students, with use cases in R & Python: mitpress.mit.edu/978026255292...

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Martin Huber @causalhuber.bsky.social · Jul 23

Delighted that our working paper “Catching Bid-rigging Cartels with Graph Attention Neural Networks”, joint work with D. Imhof and E. Viklund, is out! We propose a novel #DeepLearning algorithm based on GATs to detect collusive behavior in markets/tenders: arxiv.org/abs/2507.12369 #MachineLearning

Catching Bid-rigging Cartels with Graph Attention Neural Networks

We propose a novel application of graph attention networks (GATs), a type of graph neural network enhanced with attention mechanisms, to develop a deep learning algorithm for detecting collusive behav...

arxiv.org

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Martin Huber @causalhuber.bsky.social · Jul 16

And here it is! 😀 Just received my author copies of "Impact Evaluation in Firms and Organizations", out with @mitpress.bsky.social on Aug 5. It offers a compact overview of methods for evaluating interventions, like marketing campaigns, with R and Python examples:
mitpress.mit.edu/978026255292...

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Martin Huber @causalhuber.bsky.social · Jul 15

Delighted to attend the second edition of the Causal Machine Learning Workshop in the UK, this time hosted at Queen Mary University of London. Many thanks to my co-author Michel Haddad and the co-organizers for putting together such a fantastic event! #DataScience #MachineLearning #CausalAnalysis

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Martin Huber @causalhuber.bsky.social · Jul 3

Visiting the ZEW (Leibniz Centre for European Economic Research) in #Mannheim this week and delighted to teach a PhD course on machine learning methods as part of their summer school! #DataScience #MachineLearning

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Reposted by Martin Huber

GESIS Training @gesistraining.bsky.social · Jul 2

Struggling to identify causal effects when experiments aren’t feasible? Learn how Instrumental Variables and Regression Discontinuity Designs can help!
Join @causalhuber.bsky.social‬ to dive deep into IV and RDD in R —from core concepts to advanced topics like machine learning: t1p.de/caus-inf-2025

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Reposted by Martin Huber

GESIS Training @gesistraining.bsky.social · Jun 30

*Causal Inference with Instrumental Variables and Regression Discontinuity Designs* by @causalhuber.bsky.social.

🗓️ 09 – 10 October 2025
🏢 Online
🌐 t1p.de/caus-inf-2025

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Martin Huber @causalhuber.bsky.social · Jun 27

Attending the International Association for Applied Econometrics (IAAE) conference this week in beautiful Torino. Excited to present joint work with N. Apfel, J. Hatamyar, and Jannis Kueck on testing identifying assumptions in causal inference: arxiv.org/abs/2407.04448

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Martin Huber @causalhuber.bsky.social · Jun 18

1.5 months to go until my book Impact Evaluation in Firms and Organizations is out with @mitpress.bsky.social! An accessible introduction to impact evaluation & causal machine learning, with examples in #R & #Python: mitpress.mit.edu/978026255292...
Examples: dataverse.harvard.edu/dataset.xhtm...

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Martin Huber @causalhuber.bsky.social · Jun 4

Great to be visiting the Chair for Entrepreneurship at the University of Zurich for a seminar on data analytics and machine learning. Many thanks to @ulrichkaiser.bsky.social and his team for the warm welcome and generous hospitality! #DataScience

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Martin Huber @causalhuber.bsky.social · May 23

Visiting the Centre d'études et de recherches sur le développement international cerdi.bsky.social in beautiful Clermont-Ferrand this week, a leading center for development economics. Many thanks for the warm welcome and the stimulating discussions on impact evaluation and causal machine learning!

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Martin Huber @causalhuber.bsky.social · May 15

🚀 Less than 3 months to go! My book "Impact Evaluation in Firms and Organizations" (mitpress.bsky.social) is now available for pre-order: mitpress.mit.edu/978026255292...
It features intuitive graphs to explain key concepts and common challenges in evaluating interventions like marketing campaigns:

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Martin Huber @causalhuber.bsky.social · May 7

Very happy to see our article "How causal AI can improve your decision making" - with Quentin Gallea & Konstantinos Apostolatos - published in I by IMD, discussing how companies can use causal AI to make smarter, evidence-based decisions: www.imd.org/ibyimd/artif...

Causal AI - Improved Decision Making - I by IMD

Many firms adopt AI blindly. Using causal AI removes the guesswork by revealing what truly drives outcomes—not just correlations, but real causes.

www.imd.org

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