#CDSM2025 begins tomorrow with an exciting two-day program of talks and discussions.
Zoom webinar links were sent out today — if you didn't get yours, drop us a message at contact(at)causalscience.org.
#CDSM2025 begins tomorrow with an exciting two-day program of talks and discussions.
Zoom webinar links were sent out today — if you didn't get yours, drop us a message at contact(at)causalscience.org.
In his talk, Philipp gave an inspiring overview of his work in the field of #CausalMachineLearning: method development, software tools, and applications.
In his talk, Philipp gave an inspiring overview of his work in the field of #CausalMachineLearning: method development, software tools, and applications.
Come to the welcome event for our new colleague Philipp Bach at @fu-berlin-vwl.bsky.social on Thursday!
We are very happy to have Philipp Bach and Shushanik Margaryan at the Reasearch Seminar in Economics. They will present their work on „Causal Machine Learning - New Estimation Approaches for Empirical Economics“ and „An Applied Micro Perspective on Causal Machine Learning“
Come to the welcome event for our new colleague Philipp Bach at @fu-berlin-vwl.bsky.social on Thursday!
@danzernatalia.bsky.social @piotrlarysz.bsky.social @philippbach.bsky.social @phaan.bsky.social @simonvoss.bsky.social
@danzernatalia.bsky.social @piotrlarysz.bsky.social @philippbach.bsky.social @phaan.bsky.social @simonvoss.bsky.social
Join the BENA Skills Camp with Philipp Bach
📅 September 10–11, 2025
📍 FU Berlin
📝 Register by August 5
Details: labor-research.net/2025/06/19/b...
#ML #CausalInference #DataScience #BENA
#EconSky #Causality
Join the BENA Skills Camp with Philipp Bach
📅 September 10–11, 2025
📍 FU Berlin
📝 Register by August 5
Details: labor-research.net/2025/06/19/b...
#ML #CausalInference #DataScience #BENA
#EconSky #Causality
Of course this is unnecessarily complicated, but instructive.
➡️ "Direct" link: applied-causal-graphs.de ⬅️
⏱️ Abstracts due Feb 7th!
#CausalInference #DAGs #Berlin #CausalGraphs
⭐ Keynotes by @philippbach.bsky.social @pwgtennant.bsky.social & Simone Maxand
➡️ "Direct" link: applied-causal-graphs.de ⬅️
⏱️ Abstracts due Feb 7th!
#CausalInference #DAGs #Berlin #CausalGraphs
⭐ Keynotes by @philippbach.bsky.social @pwgtennant.bsky.social & Simone Maxand
If you want the chance to present your work at the European Causal Inference Meeting 2025 in Ghent, send in your abstract no later than Jan 15, 2025.
Submission form and more information here: eurocim.org/abstracts.html
If you want the chance to present your work at the European Causal Inference Meeting 2025 in Ghent, send in your abstract no later than Jan 15, 2025.
Submission form and more information here: eurocim.org/abstracts.html
Our question: How can we advance demand analysis using recent tools from AI (Deep Learning, LLMs etc)?
Our idea: Use information from text & images in digital marketplaces like Amazon
Paper: arxiv.org/abs/2501.00382 #EconSky
Our question: How can we advance demand analysis using recent tools from AI (Deep Learning, LLMs etc)?
Our idea: Use information from text & images in digital marketplaces like Amazon
Paper: arxiv.org/abs/2501.00382 #EconSky
1. Recipe to write estimators as weighted outcomes
2. Double ML and causal forests as weighting estimators
3. Plug&play classic covariate balancing checks
4. Explains why Causal ML fails to find an effect of 1 with noiseless outcome Y = 1 + D
5. More fun facts
arxiv.org/abs/2411.11559
SNF-funded project on #NetworkScience & #Economics, led by Berno Büchel (visit berno.info). Duration: 40 months. #PostDoc #JobOpening #EconSky
SNF-funded project on #NetworkScience & #Economics, led by Berno Büchel (visit berno.info). Duration: 40 months. #PostDoc #JobOpening #EconSky
Thanks a lot to @svenklaassen.bsky.social made most of the changes 🙏
New changes (more info below):
1. Updated Userguide
2. Several new Examples on how to use DoubleML
3. Updates to the Python API
Thanks a lot to @svenklaassen.bsky.social made most of the changes 🙏
New changes (more info below):
1. Updated Userguide
2. Several new Examples on how to use DoubleML
3. Updates to the Python API
#causality #EconSky
#causality #EconSky
Some days ago, we released version DoubleML 0.7.0 for Python including helpful new features like benchmarking for sensitivity analysis and policy trees!
github.com/DoubleML/dou...
#EconSky #CausalSky #Causality #Python #PythonSky
Some days ago, we released version DoubleML 0.7.0 for Python including helpful new features like benchmarking for sensitivity analysis and policy trees!
github.com/DoubleML/dou...
#EconSky #CausalSky #Causality #Python #PythonSky