Martin Huber
@causalhuber.bsky.social
Professor of Applied Econometrics and Policy Evaluation at the University of Fribourg/Freiburg (Switzerland) - causal analysis, statistics, econometrics, machine learning...and telemarking
Pinned
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...
📍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...
Reposted by Martin Huber
With @jeromevalette.bsky.social & Jesús Fernández-Huertas Moraga, we are happy to announce the CfPapers for the
4th edition of the Junior Workshop on the Economics of Migration
on May 26-27, 2026 @uc3meconomics.bsky.social, Spain.
Submit until February 1, 2026 on economig2026.sciencesconf.org
With @jeromevalette.bsky.social & Jesús Fernández-Huertas Moraga, we are happy to announce the CfPapers for the
4th edition of the Junior Workshop on the Economics of Migration
on May 26-27, 2026 @uc3meconomics.bsky.social, Spain.
Submit until February 1, 2026 on economig2026.sciencesconf.org
November 24, 2025 at 9:27 AM
With @jeromevalette.bsky.social & Jesús Fernández-Huertas Moraga, we are happy to announce the CfPapers for the
4th edition of the Junior Workshop on the Economics of Migration
on May 26-27, 2026 @uc3meconomics.bsky.social, Spain.
Submit until February 1, 2026 on economig2026.sciencesconf.org
With @jeromevalette.bsky.social & Jesús Fernández-Huertas Moraga, we are happy to announce the CfPapers for the
4th edition of the Junior Workshop on the Economics of Migration
on May 26-27, 2026 @uc3meconomics.bsky.social, Spain.
Submit until February 1, 2026 on economig2026.sciencesconf.org
The #CDSM2025 is coming up tomorrow: www.causalscience.org. Mara Mattes will present our joint work with Jannis Kueck on learning and testing the structure of interference effects in social networks - how the treatment of others affects one’s own outcomes - using graph convolutional autoencoders.
Causal Data Science Meeting - Home
Fostering a dialogue between industry and academia on causal data science.
www.causalscience.org
November 11, 2025 at 12:00 PM
The #CDSM2025 is coming up tomorrow: www.causalscience.org. Mara Mattes will present our joint work with Jannis Kueck on learning and testing the structure of interference effects in social networks - how the treatment of others affects one’s own outcomes - using graph convolutional autoencoders.
📢The #Fribourg #WinterSchool in #DataAnalytics & #MachineLearning is coming up (Feb 2–13, 2026)! On site at @unifr.bsky.social or online - covering data analytics, predictive & causal machine learning, and deep learning using Python, R, Julia & Knime. Register now: www.unifr.ch/appecon/en/w...
November 5, 2025 at 4:28 PM
📢The #Fribourg #WinterSchool in #DataAnalytics & #MachineLearning is coming up (Feb 2–13, 2026)! On site at @unifr.bsky.social or online - covering data analytics, predictive & causal machine learning, and deep learning using Python, R, Julia & Knime. Register now: www.unifr.ch/appecon/en/w...
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!
September 25, 2025 at 9:26 AM
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!
📚 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...
👉 www.unifr.ch/appecon/en/r...
September 9, 2025 at 2:14 PM
📚 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...
👉 www.unifr.ch/appecon/en/r...
Reposted by Martin Huber
📣 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
Don't miss the chance to 🤿 dive into IV and RDD in R with @causalhuber.bsky.social!
Register Now!
➡️ t1p.de/caus-inf-2025
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
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
September 3, 2025 at 9:39 AM
📣 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
Don't miss the chance to 🤿 dive into IV and RDD in R with @causalhuber.bsky.social!
Register Now!
➡️ t1p.de/caus-inf-2025
🚀 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...
📍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...
September 1, 2025 at 10:44 AM
🚀 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...
📍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...
Thanks @p-hunermund.com!
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...
August 21, 2025 at 11:20 PM
Thanks @p-hunermund.com!
😀 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/...
August 21, 2025 at 8:15 AM
😀 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/...
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
👉 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
August 19, 2025 at 6:21 AM
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
👉 arxiv.org/abs/2508.09885
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...
August 11, 2025 at 1:07 PM
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...
🎉 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...
mitpress.mit.edu/978026255292...
August 7, 2025 at 3:27 PM
🎉 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...
mitpress.mit.edu/978026255292...
📘 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...
August 5, 2025 at 6:01 AM
📘 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...
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
July 23, 2025 at 3:45 PM
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
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...
mitpress.mit.edu/978026255292...
July 16, 2025 at 2:33 PM
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...
mitpress.mit.edu/978026255292...
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
July 15, 2025 at 7:14 PM
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
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
July 3, 2025 at 10:29 AM
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
Reposted by Martin Huber
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
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
July 2, 2025 at 1:13 PM
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
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
Reposted by Martin Huber
*Causal Inference with Instrumental Variables and Regression Discontinuity Designs* by @causalhuber.bsky.social.
🗓️ 09 – 10 October 2025
🏢 Online
🌐 t1p.de/caus-inf-2025
🗓️ 09 – 10 October 2025
🏢 Online
🌐 t1p.de/caus-inf-2025
June 30, 2025 at 12:32 PM
*Causal Inference with Instrumental Variables and Regression Discontinuity Designs* by @causalhuber.bsky.social.
🗓️ 09 – 10 October 2025
🏢 Online
🌐 t1p.de/caus-inf-2025
🗓️ 09 – 10 October 2025
🏢 Online
🌐 t1p.de/caus-inf-2025
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
June 27, 2025 at 9:40 AM
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
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...
Examples: dataverse.harvard.edu/dataset.xhtm...
June 18, 2025 at 11:18 AM
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...
Examples: dataverse.harvard.edu/dataset.xhtm...
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
June 4, 2025 at 11:58 AM
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
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!
May 23, 2025 at 3:03 PM
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!
🚀 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:
It features intuitive graphs to explain key concepts and common challenges in evaluating interventions like marketing campaigns:
May 15, 2025 at 8:51 AM
🚀 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:
It features intuitive graphs to explain key concepts and common challenges in evaluating interventions like marketing campaigns:
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
May 7, 2025 at 12:16 PM
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...