We are recruiting several Early Career Research Group Leaders for Machine Learning in Science (m/f/d; E14 TV-L, 100%) in Tübingen! Open to researchers directly after their PhD or with postdoctoral experience. Application deadline: July 15, 2026. More info: uni-tuebingen.de/en/128980#c2... 1/2

📆 One week left to apply! We are still looking for excellent PhD students and postdocs to join us at the TUM Heilbronn Data Science Center (HDSC).

Paul Hünermund@p-hunermund.com · 3mo ago

🏁 We’re hiring at the TUM Heilbronn Data Science Center (PhD & Postdoc). Focus: econometrics, innovation policy, and technology management—with a particular interest in the societal and managerial implications of #causalAI. Join a highly interdisciplinary, research-driven environment at TUM. 👇

🏁 We’re hiring at the TUM Heilbronn Data Science Center (PhD & Postdoc). Focus: econometrics, innovation policy, and technology management—with a particular interest in the societal and managerial implications of #causalAI. Join a highly interdisciplinary, research-driven environment at TUM. 👇

3 PhD Positions in Empirical Economics & Data Science - Technische Universität München (TUM)

Technische Universität München (TUM) bietet Stelle als 3 PhD Positions in Empirical Economics & Data Science in Heilbronn - jetzt bewerben!

academics.de

NEW PAPER 🚨 "Causal Graphs for Conditional Parallel Trends" with @henripf.bsky.social It connects causal graphs and the modern Diff-in-Diff literature by introducing Δ-SWIGs as a graphical tool to reason about controls in DiD settings under standard additively separability assumptions. Thread 🧵

I am hiring PhD students and/or Postdocs, to work on the theory of explainable machine learning. Please apply through Ellis or IMPRS, deadlines end october/mid november. In particular: Women, where are you? Our community needs you!!! imprs.is.mpg.de/application ellis.eu/news/ellis-p...

🚨Job alert🚨 Premium tenure-track (ass to full prof) in "𝐌𝐋 𝐌𝐞𝐭𝐡𝐨𝐝𝐬 𝐢𝐧 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐚𝐧𝐝 𝐄𝐜𝐨𝐧𝐨𝐦𝐢𝐜𝐬" @unituebingen.bsky.social made possible by @ml4science.bsky.social Spread the word and feel free to reach out if you have any questions about the position or the environment. Link: shorturl.at/QHZ5G

The OutcomeWeights #RStats package now has a logo and a new vignette illustrating how Double ML improves covariate balance over "Single ML" RA or IPW. Check it out: mcknaus.github.io/OutcomeWeigh... #causalSky #causalML

Wir suchen jemanden, der im WS 25/26 unseren vakanten Lehrstuhl für Statistik und Quantitative Methoden in den Wirtschaftswissenschaften vertritt. Auch die Dauerstelle wird bald ausgeschrieben. Wir freuen uns über nette, engagierte Kollegen! Gerne teilen... Link im nächsten Post.

Our cluster Machine Learning for Science is up for 7 years more funding!

ML for Science@ml4science.bsky.social · last yr.

We're super happy: Our Cluster of Excellence will continue to receive funding from the German Research Foundation @dfg.de ! Here’s to 7 more years of exciting research at the intersection of #machinelearning and science! Find out more: uni-tuebingen.de/en/research/... #ExcellenceStrategy

Excellent news! The "Machine Learning for Science" cluster is an incredible public good for researchers @unituebingen.bsky.social interested in ML in all its facets. Great job by @philipp.hertie.ai, @ulrikeluxburg.bsky.social and the cluster team.

Philipp Berens@philipp.hertie.ai · last yr.

We are incredible happy to be able to continue our work of developing new #AI4science across a wide range of disciplines with incredible colleagues in #physics, #neuroscience, #cogsci, #geoscience, #linguistics, #economics, #medicine, #philosophy, #law and #anthropology! @unituebingen.bsky.social

We're super happy: Our Cluster of Excellence will continue to receive funding from the German Research Foundation @dfg.de ! Here’s to 7 more years of exciting research at the intersection of #machinelearning and science! Find out more: uni-tuebingen.de/en/research/... #ExcellenceStrategy

Junior Professorship (W1) with tenure track (W3) in Statistics and Empirical Economics #Econsky

🧵New survey paper: "Inference with Few Treated Units" Luis Alvarez, Bruno Ferman and Kaspar Wüthrich Tired of referees saying your standard errors are wrong? This survey will help you understand if you really have a problem — and, if so, how to fix it!

One of my favorite parts is running OLS within the DoubleML package of @philippbach.bsky.social and colleagues. Of course this is unnecessarily complicated, but instructive.

How can we design algorithms that maximize social welfare, rather than profits? This paper merges multi-armed bandits and adversarial learning with optimal tax theory and welfare economics. @maxkasy @NicoloCB @Rcolomboni buff.ly/pxPY8nj

One year ago I gave a #CausalML Workshop for Ukraine 🇺🇦 We hand-coded DoubleML and causal forest in very few lines of code to exactly replicate their package outputs. If you better understand theory through coding like me, check it out. You find the R notebook now online: shorturl.at/uM82n #RStats

🤖 Interested in machine learning, economics, and the state of AI?🤖 In September, I will teach a 1-week intensive version of my course on foundations of ML (maxkasy.github.io/home/ML_Oxfo...) in our summer school. Apply here: ouess.web.ox.ac.uk/september-su... Spread the word!

Foundations of Machine Learning

Research on machine learning, experimental design, economic inequality, and optimal policy

maxkasy.github.io

#EctJ published a SI celebrating the seminal contributions of Philip G. Wright to causal inference in economics. Both our editorial & reproduction of Wright (1928) are free to read. @resmedia.bsky.social @p-hunermund.com @borusyak.bsky.social @instrumenthull.bsky.social res.org.uk/celebrating-...

Celebrating Philip G. Wright’s legacy: directed acyclic graphs and instrumental variables - Royal Economic Society

The Econometrics Journal published a special issue celebrating the seminal contributions of Philip G. Wright (1928).

res.org.uk

Interesting new paper: arxiv.org/pdf/2503.09907 improves on both rdrobust and rdhonest! Quite compelling... 1/n

It’s finally out! People, I’ve been hearing about this paper for so many years, but I am grateful it is out. Andrew Baker, Brantly Callaway, Scott Cunningham, Andrew Goodman-Bacon, Pedro H. C. Sant’Anna www.linkedin.com/posts/andrew... arxiv.org/abs/2503.13323

Difference-in-Differences Designs: A Practitioner's Guide

Difference-in-Differences (DiD) is arguably the most popular quasi-experimental research design. Its canonical form, with two groups and two periods, is well-understood. However, empirical practices c...

arxiv.org

Just uploaded the first block of my lecture notes on econometrics with unobserved heterogeneity! 📊 Introduction and a block on average effects in linear models with heterogeneous coefficients — why standard estimators fail and a robust approach. Link below. #econsky

Our dept/faculty @uniinnsbruck@social.uibk.ac.at is looking for a senior scientist - to coordinate a new master program - to teach statistics & data science in that master (and beyond) German skills needed. Further details & online application at: lfuonline.uibk.ac.at/public/karri...

Among the many good things about support for 🇺🇦: Doing it together This coordination of donations is open until tomorrow 10am CET 👇 and support via any other channel is equally good, too.

Tatyana Deryugina@tderyugina.bsky.social · last yr.

Check out a novel way to give to Ukraine with maximum impact. Pledge the max you're willing to give and if the same number of people do the same, your contribution gets squared. Ends March 10, so hurry. More details here. yourcontributionsquared.eu/en/

we are looking for an Associate Professor (tenure track) in applied Economics, pls share: www.timeshighereducation.com/unijobs/list...

Professorship (W2) of AI in Economics - Munich (City), Bavaria, Germany job with LUDWIG MAXIMILIANS UNIVERSITAET MUENCHEN | 389325

All AI that are relevant to the field of economics under the application of modern statistical methods will be expected to teach courses at all levels

timeshighereducation.com

📣Now hiring: Predoc in Economics and Data Science We are hiring a predoc -- work at ETH Zurich on exciting projects in applied econ (political econ, education, etc.), using AI, NLP, and causal inference. Apply here: econjobmarket.org/positions/11505

🚀 Call for Papers: CREST-IFAU Workshop on Labor Market Policy Evaluation 📊 🗓 June 12-13, 2025 – Paris (Palaiseau) 🎤 Keynote: Stéphane Bonhomme (University of Chicago) 📅 Submit by: March 10, 2025 📩 Send papers (PDF) to: workshops@ensae.fr @ifau.bsky.social

Call for papers: CREST – IFAU Workshop on Evaluating Labor Market Policies: Methods and Results - CREST

crest.science

🚀 We’re hiring! Join Bernhard Schölkopf & me at @ellisinsttue.bsky.social to push the frontier of #AI in education! We’re building cutting-edge, open-source AI tutoring models for high-quality, adaptive learning for all pupils with support from the Hector Foundation. 👉 forms.gle/sxvXbJhZSccr...

Adding fixed effects is supposed to reduce bias — but under realistic parameter heterogeneity, it can make bias worse I wrote a post explaining how and why this can happen, with simulations and what you can do about it (Video: results summary) Links to post and Python code in replies #EconSky

We’re looking for a motivated researcher to apply for a Marie Skłodowska-Curie postdoc with our Econometrics & Data Science group at SDU! Focus: Causal Inference, Machine Learning, Big Data Full support for promising projects More info & apply: www.sdu.dk/en/om-sdu/in...

Econometrics and Data Science

sdu.dk

To continue the public good streak, here are some cool materials that our @emoryeconomics.bsky.social student, Marcelo Ortiz-Villavicencio, prepared for his independent studies. marcelortiz.com/ECON697R/ I am biased, but the slides are clear and relevant to many econometrics topics.